commit 2693e7ba50a1d2dcedbbb0e53549ecc3193dd34d Author: ModelHub XC Date: Wed Jul 29 10:10:10 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: lldois/v07_final_only_lr2e5 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..a8a39ac --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +library_name: transformers +license: other +base_model: OpenOneRec/OneReason-0.8B-pretrain-competition +tags: +- llama-factory +- full +- generated_from_trainer +model-index: +- name: v07_final_only_lr2e5 + results: [] +--- + + + +# v07_final_only_lr2e5 + +This model is a fine-tuned version of [OpenOneRec/OneReason-0.8B-pretrain-competition](https://huggingface.co/OpenOneRec/OneReason-0.8B-pretrain-competition) on the overnight_final_only dataset. + +## Model description + +More information needed + +## Intended uses & limitations + +More information needed + +## Training and evaluation data + +More information needed + +## Training procedure + +### Training hyperparameters + +The following hyperparameters were used during training: +- learning_rate: 2e-05 +- train_batch_size: 1 +- eval_batch_size: 8 +- seed: 202607067 +- gradient_accumulation_steps: 4 +- total_train_batch_size: 4 +- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments +- lr_scheduler_type: cosine +- lr_scheduler_warmup_steps: 0.03 +- num_epochs: 1 + +### Training results + + + +### Framework versions + +- Transformers 5.6.0 +- Pytorch 2.7.1+cu126 +- Datasets 4.0.0 +- Tokenizers 0.22.2 diff --git a/all_results.json b/all_results.json new file mode 100644 index 0000000..6d1c4f8 --- /dev/null +++ b/all_results.json @@ -0,0 +1,8 @@ +{ + "epoch": 1.0, + "total_flos": 1.4163205452745114e+17, + "train_loss": 1.2549793832631224, + "train_runtime": 2346.2604, + "train_samples_per_second": 0.505, + "train_steps_per_second": 0.127 +} \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..01be9b3 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,89 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0].role == 'system' %} + {{- messages[0].content + '\n\n' }} + {%- endif %} + {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0].role == 'system' %} + {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for message in messages[::-1] %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('') and message.content.endswith('')) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if message.content is string %} + {%- set content = message.content %} + {%- else %} + {%- set content = '' %} + {%- endif %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) %} + {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is string %} + {%- set reasoning_content = message.reasoning_content %} + {%- else %} + {%- if '' in content %} + {%- set reasoning_content = content.split('')[0].rstrip('\n').split('')[-1].lstrip('\n') %} + {%- set content = content.split('')[-1].lstrip('\n') %} + {%- endif %} + {%- endif %} + {%- if loop.index0 > ns.last_query_index %} + {%- if loop.last or (not loop.last and reasoning_content) %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content.strip('\n') + '\n\n\n' + content.lstrip('\n') }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if (loop.first and content) or (not loop.first) %} + {{- '\n' }} + {%- endif %} + {%- if tool_call.function %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {%- if tool_call.arguments is string %} + {{- tool_call.arguments }} + {%- else %} + {{- tool_call.arguments | tojson }} + {%- endif %} + {{- '}\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- content }} + {{- '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- endif %} +{%- endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..c4eb20b --- /dev/null +++ b/config.json @@ -0,0 +1,63 @@ +{ + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": null, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": 151643, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.6.0", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 176253 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..cf5bf49 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,12 @@ +{ + "do_sample": true, + "eos_token_id": [ + 151645, + 151643 + ], + "pad_token_id": 151643, + "temperature": 0.6, + "top_k": 20, + "top_p": 0.95, + "transformers_version": "5.6.0" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..60bc058 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d5e0552c85e88bb3697cec4af20ba637dac3a3dd4d98987d8597f8ed596dd6c1 +size 1602902832 diff --git a/runs/Jul06_03-42-57_ubuntu-System-Product-Name/events.out.tfevents.1783280577.ubuntu-System-Product-Name.1649812.0 b/runs/Jul06_03-42-57_ubuntu-System-Product-Name/events.out.tfevents.1783280577.ubuntu-System-Product-Name.1649812.0 new file mode 100644 index 0000000..43f5586 --- /dev/null +++ b/runs/Jul06_03-42-57_ubuntu-System-Product-Name/events.out.tfevents.1783280577.ubuntu-System-Product-Name.1649812.0 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b69a79ad80af6e10a8107138cbecc905ae68ef51abe0747025615e39359dc24f +size 18665 diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..8aee134 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cd4d15f596979aecbc11ba12668cb21c9fb8452ce1235cd9d7878cc950170421 +size 16016554 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..9b55322 --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,16 @@ +{ + "add_prefix_space": false, + "backend": "tokenizers", + "bos_token": null, + "clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "errors": "replace", + "is_local": false, + "local_files_only": false, + "model_max_length": 131072, + "pad_token": "<|endoftext|>", + "padding_side": "right", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null +} diff --git a/train.log b/train.log new file mode 100644 index 0000000..8fecb9b --- /dev/null +++ b/train.log @@ -0,0 +1,2244 @@ +/home/ll/llm4rec/demo/LLaMA-Factory/.venv/lib/python3.11/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. + import pkg_resources +[transformers] warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. +[transformers] `logging_dir` is deprecated and will be removed in v5.2. Please set `TENSORBOARD_LOGGING_DIR` instead. +[INFO|2026-07-06 03:42:26] llamafactory.hparams.parser:523 >> Process rank: 0, world size: 1, device: cuda:0, distributed training: False, compute dtype: torch.bfloat16 +[INFO|configuration_utils.py:771] 2026-07-06 03:42:27,744 >> loading configuration file config.json from cache at /home/ll/.cache/huggingface/hub/models--OpenOneRec--OneReason-0.8B-pretrain-competition/snapshots/5a0a9ec5c601c268bb2300d99baa7a4ad526ab0c/config.json +[INFO|configuration_utils.py:847] 2026-07-06 03:42:27,746 >> Model config Qwen3Config { + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.6.0", + "use_cache": true, + "use_sliding_window": false, + "vocab_size": 176253 +} + +[INFO|configuration_utils.py:771] 2026-07-06 03:42:31,544 >> loading configuration file config.json from cache at /home/ll/.cache/huggingface/hub/models--OpenOneRec--OneReason-0.8B-pretrain-competition/snapshots/5a0a9ec5c601c268bb2300d99baa7a4ad526ab0c/config.json +[INFO|configuration_utils.py:847] 2026-07-06 03:42:31,545 >> Model config Qwen3Config { + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.6.0", + "use_cache": true, + "use_sliding_window": false, + "vocab_size": 176253 +} + +[INFO|configuration_utils.py:771] 2026-07-06 03:42:31,920 >> loading configuration file config.json from cache at /home/ll/.cache/huggingface/hub/models--OpenOneRec--OneReason-0.8B-pretrain-competition/snapshots/5a0a9ec5c601c268bb2300d99baa7a4ad526ab0c/config.json +[INFO|configuration_utils.py:847] 2026-07-06 03:42:31,920 >> Model config Qwen3Config { + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.6.0", + "use_cache": true, + "use_sliding_window": false, + "vocab_size": 176253 +} + +[INFO|2026-07-06 03:42:33] llamafactory.data.loader:144 >> Loading dataset /home/ll/llm4rec/experiments/20260706_overnight/data/final_only.jsonl... +Setting num_proc from 16 back to 1 for the train split to disable multiprocessing as it only contains one shard. + Generating train split: 0 examples [00:00, ? examples/s] Generating train split: 16660 examples [00:00, 153650.35 examples/s] Generating train split: 32480 examples [00:00, 167005.01 examples/s] + Converting format of dataset (num_proc=16): 0%| | 0/32480 [00:00user +【用户交互历史】： +【2025-09-02】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-12】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-15】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-17】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-19】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-20】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-08】 + --:-- [直播-关注] <|living_begin|> +【2025-10-09】 + --:-- [直播-关注] <|living_begin|> +【2025-10-10】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-11】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-14】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-15】 + --:-- [直播-关注] <|living_begin|> +【2025-11-16】 + --:-- [直播-关注] <|living_begin|> +【2025-11-17】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-11-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-19】 + --:-- [直播-关注] <|living_begin|> +【2025-11-20】 + --:-- [直播-关注] <|living_begin|> +【2025-11-21】 + --:-- [直播-关注] <|living_begin|> +【2025-11-22】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-23】 + --:-- [直播-关注] <|living_begin|> +【2025-11-25】 + --:-- [直播-关注] <|living_begin|> +【2025-11-26】 + --:-- [直播-关注] <|living_begin|> +【2025-11-30】 + --:-- [直播-关注] <|living_begin|> +【2025-12-04】 + --:-- [直播-关注] <|living_begin|> +【2025-12-05】 + --:-- [直播-关注] <|living_begin|> +【2025-12-06】 + --:-- [直播-关注/打赏] <|living_begin|> +【2025-12-08】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-12-09】 + --:-- [直播-打赏] <|living_begin|> +【2025-12-10】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-13】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-12-14】 + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + 05:13 [广告-点击] <|ad_begin|> +【2025-12-16】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 19:11 [广告-深度转化] <|ad_begin|> + 19:11 [广告-点击] <|ad_begin|> + 19:17 [广告-点击] <|ad_begin|> + 19:20 [广告-点击] <|ad_begin|> + 21:28 [广告-深度转化] <|ad_begin|> + 21:28 [广告-点击] <|ad_begin|> + 21:48 [广告-点击] <|ad_begin|> + 21:48 [广告-点击] <|ad_begin|> +【2025-12-17】 + 18:02 [广告-点击] <|ad_begin|> + 19:49 [广告-点击] <|ad_begin|> + 22:11 [广告-点击] <|ad_begin|> +【2025-12-18】 + --:-- [商品-购买] <|prod_begin|> + 12:06 [广告-深度转化] <|ad_begin|> + 12:06 [广告-点击] <|ad_begin|> + 21:05 [广告-深度转化] <|ad_begin|> + 21:05 [广告-点击] <|ad_begin|> + 23:04 [广告-深度转化] <|ad_begin|> + 23:04 [广告-点击] <|ad_begin|> +【2025-12-19】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 04:42 [广告-深度转化] <|ad_begin|> + 04:42 [广告-点击] <|ad_begin|> + 09:00 [广告-点击] <|ad_begin|> +【2025-12-20】 + 01:51 [广告-点击] <|ad_begin|> + 02:00 [广告-点击] <|ad_begin|> + 02:33 [广告-点击] <|ad_begin|> +【2025-12-21】 + --:-- [直播-关注/打赏] <|living_begin|> + 01:31 [广告-点击] <|ad_begin|> + 06:44 [广告-点击] <|ad_begin|> + 09:20 [广告-点击] <|ad_begin|> + 11:48 [广告-点击] <|ad_begin|> +【2025-12-23】 + 20:20 [广告-深度转化] <|ad_begin|> + 20:20 [广告-点击] <|ad_begin|> +【2025-12-24】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + 08:05 [广告-点击] <|ad_begin|> +【2025-12-25】 + --:-- [直播-关注/首次打赏] <|living_begin|> + 06:53 [广告-深度转化] <|ad_begin|> + 06:53 [广告-点击] <|ad_begin|> + 07:27 [广告-点击] <|ad_begin|> + 22:18 [广告-点击] <|ad_begin|> +【2025-12-26】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-27】 + --:-- [直播-关注/打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> +【2025-12-28】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> +【2025-12-29】 + 18:02 [广告-深度转化] <|ad_begin|> + 18:02 [广告-点击] <|ad_begin|> +【2025-12-30】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> +【2025-12-31】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> +【2026-01-01】 + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> +【2026-01-02】 + --:-- [直播-首次打赏] <|living_begin|> +【2026-01-03】 + --:-- [商品-购买] <|prod_begin|> + 01:47 [广告-点击] <|ad_begin|> + 17:17 [广告-点击] <|ad_begin|> + 17:23 [广告-点击] <|ad_begin|> + 17:57 [广告-点击] <|ad_begin|> + 17:58 [广告-点击] <|ad_begin|> + 19:41 [广告-点击] <|ad_begin|> + 19:48 [广告-点击] <|ad_begin|> + 19:56 [广告-点击] <|ad_begin|> + 19:56 [广告-点击] <|ad_begin|> + 20:46 [广告-点击] <|ad_begin|> + 21:01 [广告-点击] <|ad_begin|> + 22:11 [广告-点击] <|ad_begin|> +【2026-01-04】 + --:-- [直播-关注] <|living_begin|> +【2026-01-06】 + --:-- [商品-加购] <|prod_begin|> + 00:46 [广告-点击] <|ad_begin|> + 02:37 [广告-深度转化] <|ad_begin|> + 02:37 [广告-点击] <|ad_begin|> +【2026-01-07】 + 19:56 [广告-点击] <|ad_begin|> +【2026-01-08】 + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + 05:46 [广告-点击] <|ad_begin|> + 13:04 [广告-深度转化] <|ad_begin|> + 13:04 [广告-点击] <|ad_begin|> + 19:19 [广告-深度转化] <|ad_begin|> + 19:19 [广告-点击] <|ad_begin|> +【2026-01-09】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> +【2026-01-10】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + 09:18 [广告-深度转化] <|ad_begin|> + 09:18 [广告-点击] <|ad_begin|> + 09:18 [广告-点击] <|ad_begin|> + 16:09 [广告-深度转化] <|ad_begin|> + 16:09 [广告-点击] <|ad_begin|> +【2026-01-11】 + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + 23:15 [广告-点击] <|ad_begin|> +【2026-01-12】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-13】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2026-01-14】 + --:-- [直播-关注] <|living_begin|> +【2026-01-15】 + --:-- [直播-关注] <|living_begin|> +【2026-01-16】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-18】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2026-01-19】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-20】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-21】 + --:-- [直播-打赏] <|living_begin|> + 19:04 [广告-点击] <|ad_begin|> + 19:19 [广告-点击] <|ad_begin|> +【2026-01-22】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + 06:24 [广告-点击] <|ad_begin|> + 06:34 [广告-深度转化] <|ad_begin|> + 06:34 [广告-点击] <|ad_begin|> + 06:42 [广告-点击] <|ad_begin|> +【2026-01-23】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2026-01-25】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 06:02 [广告-点击] <|ad_begin|> +【2026-01-26】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-27】 + --:-- [直播-关注/首次打赏] <|living_begin|> + 15:02 [视频-收藏/长播] <|video_begin|> + 22:33 [视频-关注/评论/点赞/长播] <|video_begin|> +【2026-01-28】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 00:40 [视频-关注/点赞/长播] <|video_begin|> + 02:10 [视频-关注/评论/点赞/长播] <|video_begin|> + 19:35 [视频-点赞/长播] <|video_begin|> + 23:53 [视频-关注/点赞/长播] <|video_begin|> +【2026-01-29】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 00:55 [视频-长播] <|video_begin|> + 09:22 [视频-长播] <|video_begin|> + 13:24 [视频-关注/评论/点赞/长播] <|video_begin|> + 15:46 [视频-转发/长播] <|video_begin|> + 22:58 [视频-长播] <|video_begin|> + 23:05 [视频-长播] <|video_begin|> + 23:48 [视频-关注/评论/点赞/长播] <|video_begin|> + 23:50 [视频-关注/评论/点赞/长播] <|video_begin|> + 23:50 [视频-关注/评论/点赞/长播] <|video_begin|> +【2026-01-30】 + --:-- [直播-首次打赏] <|living_begin|> + 00:02 [视频-评论/点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 00:53 [视频-长播] <|video_begin|> + 08:39 [视频-长播] <|video_begin|> + 21:34 [视频-长播] <|video_begin|> +【2026-01-31】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 02:00 [视频-关注/评论/点赞/长播] <|video_begin|> +【2026-02-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 01:56 [视频-关注/点赞/长播] <|video_begin|> + 06:23 [视频-长播] <|video_begin|> + 08:44 [视频-关注/评论/点赞/长播] <|video_begin|> + 08:44 [视频-关注/点赞/长播] <|video_begin|> + 08:44 [视频-评论/收藏/点赞/长播] <|video_begin|> + 08:57 [视频-长播] <|video_begin|> + 08:57 [视频-关注/评论/点赞/长播] <|video_begin|> + 08:57 [视频-关注/转发/点赞/长播] <|video_begin|> +【2026-02-02】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + 03:50 [视频-关注/点赞/长播] <|video_begin|> + 06:02 [视频-关注/评论/点赞/长播] <|video_begin|> + 06:07 [视频-评论/点赞/长播] <|video_begin|> + 06:38 [视频-长播] <|video_begin|> + 06:38 [视频-关注/评论/点赞/长播] <|video_begin|> + 11:59 [视频-关注/评论/点赞/长播] <|video_begin|> + 12:07 [视频-长播] <|video_begin|> + 12:07 [视频-长播] <|video_begin|> + 12:14 [视频-长播] <|video_begin|> +【2026-02-03】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 03:04 [视频-长播] <|video_begin|> + 04:36 [视频-长播] <|video_begin|> + 04:36 [视频-长播] <|video_begin|> + 05:29 [视频-长播] <|video_begin|> + 07:24 [广告-点击] <|ad_begin|> + 07:27 [广告-点击] <|ad_begin|> + 08:02 [广告-点击] <|ad_begin|> + 08:11 [广告-点击] <|ad_begin|> + 12:04 [视频-长播] <|video_begin|> + 20:50 [视频-长播] <|video_begin|> + 22:26 [视频-长播] <|video_begin|> + 22:30 [视频-长播] <|video_begin|> + 22:30 [视频-长播] <|video_begin|> + 22:30 [视频-长播] <|video_begin|> + 22:30 [视频-长播] <|video_begin|> + 22:30 [视频-长播] <|video_begin|> + 22:39 [视频-长播] <|video_begin|> + 22:39 [视频-长播] <|video_begin|> + 22:48 [视频-长播] <|video_begin|> + 22:48 [视频-长播] <|video_begin|> + 22:48 [视频-长播] <|video_begin|> + 23:49 [视频-长播] <|video_begin|> + 23:49 [视频-长播] <|video_begin|> +【2026-02-04】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 00:08 [视频-长播] <|video_begin|> + 00:08 [视频-转发/长播] <|video_begin|> + 01:03 [视频-长播] <|video_begin|> + 10:23 [视频-长播] <|video_begin|> + 10:23 [视频-长播] <|video_begin|> + 10:23 [视频-长播] <|video_begin|> + 10:23 [视频-长播] <|video_begin|> +【2026-02-05】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 01:18 [视频-长播] <|video_begin|> + 01:18 [视频-长播] <|video_begin|> + 01:31 [广告-点击] <|ad_begin|> + 01:41 [广告-点击] <|ad_begin|> + 01:43 [视频-长播] <|video_begin|> + 01:43 [视频-长播] <|video_begin|> + 01:43 [视频-长播] <|video_begin|> + 02:14 [视频-长播] <|video_begin|> + 02:18 [广告-点击] <|ad_begin|> + 02:49 [视频-长播] <|video_begin|> + 06:57 [视频-点赞/长播] <|video_begin|> + 07:15 [广告-深度转化] <|ad_begin|> + 07:15 [广告-点击] <|ad_begin|> + 07:21 [视频-长播] <|video_begin|> + 07:21 [视频-长播] <|video_begin|> + 07:21 [视频-关注/点赞/长播] <|video_begin|> + 07:36 [视频-长播] <|video_begin|> + 10:50 [视频-长播] <|video_begin|> + 10:50 [视频-长播] <|video_begin|> + 14:05 [广告-深度转化] <|ad_begin|> + 14:05 [广告-点击] <|ad_begin|> + 14:08 [广告-点击] <|ad_begin|> + 14:08 [广告-点击] <|ad_begin|> + 14:14 [广告-深度转化] <|ad_begin|> + 14:14 [广告-点击] <|ad_begin|> + 14:50 [广告-点击] <|ad_begin|> + 15:00 [广告-点击] <|ad_begin|> +【2026-02-06】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +角色任务：你是一名极端严苛的用户行为数据挖掘专家和数据格式化专家，请基于以上用户交互历史，围绕指定主题提取具备行为递进关系与内在关联的交互行为逻辑链。 +交互行为类型（固定格式严禁更改）： 广告-点击、广告-深度转化、视频-浏览、视频-长播、搜索-搜索、商品-点击、商品-购买、直播-关注、直播-首次打赏 +核心判定逻辑（递进性准则）： +请按时间顺序提取 5 步以内的行为链，且后项交互B必须构成前项交互A在场景需求上的协同补充、副作用诱因或兴趣细化升级——即 B 必须源于 A 所延伸出的需求，严禁提取任何品类平级、内容重复或仅由天气/促销触发的并列凑单行为。 +1.场景驱动协同：交互 B 与交互 A 必须处于同一生活场景和主题类目下，并具备极强的需求补完关系。 +2.兴趣因果递进：交互 B 必须与交互 A 构成因果递进关系，即 B 来源于 A 带来的副作用、新需求，或 A 是 B 的触发诱因。 +3.需求深度细化：在同一主题类目下，交互 B 需要比交互 A 表达得更具体详细，但不纳入重复性的购买、点击、搜索等行为，避免形成重复节点。 +请围绕以下主题提取行为逻辑链： +主题：从泛化养生到聚焦传统文化疗愈的兴趣演化 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "从泛化养生到聚焦传统文化疗愈的兴趣演化", + "events": [ + { + "date": "YYYY-MM-DD", + "action": "[交互行为类型] 交互内容"（严格对应Timeline中交互条目，不允许省略）, + "logic": "逻辑说明" + } + ] + } +}/no_think<|im_end|> +<|im_start|>assistant +{"logic_chain": {"name": "从泛化养生到聚焦传统文化疗愈的兴趣演化", "events": [{"date": "2025-12-10", "action": "[商品-购买] <|prod_begin|>", "logic": "初始阶段：表现出对草本植物、高含量等概念的健康养生兴趣，但行为停留在物质补充层面。"}, {"date": "2025-12-13", "action": "[直播-关注/首次打赏] <|living_begin|>", "logic": "兴趣深化与转向：首次对“法道主题”、“修行演唱”等精神文化内容产生深度互动（打赏），标志着兴趣从纯粹的物质养生转向了精神与文化层面的疗愈探索。"}, {"date": "2025-12-27", "action": "[直播-关注/打赏] <|living_begin|>", "logic": "兴趣确认与聚焦：再次打赏明确指向“佛系养生”、“心灵滋养”、“观音文化”的直播，进一步收敛并确认了其在传统文化与精神慰藉方向上的核心诉求，完成了从身体到心灵的认知闭环。"}]}}<|im_end|> +<|im_start|>user +【用户交互历史】： +【2025-07-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-19】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-28】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-07】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-09-11】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-16】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-19】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-22】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-09-23】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-29】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-30】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-13】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-15】 + --:-- [直播-关注] <|living_begin|> +【2025-10-16】 + --:-- [直播-关注] <|living_begin|> +【2025-10-18】 + --:-- [直播-关注] <|living_begin|> +【2025-10-24】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-26】 + --:-- [直播-关注] <|living_begin|> +【2025-10-30】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-12】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-13】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-14】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-11-15】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-11-16】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-17】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> +【2025-11-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-19】 + --:-- [直播-关注] <|living_begin|> +【2025-11-20】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-11-21】 + --:-- [直播-关注] <|living_begin|> +【2025-11-22】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> +【2025-11-23】 + --:-- [直播-关注] <|living_begin|> +【2025-11-25】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-11-26】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-27】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-28】 + --:-- [直播-关注] <|living_begin|> +【2025-11-29】 + --:-- [直播-关注] <|living_begin|> +【2025-11-30】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-13】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-27】 + --:-- [直播-关注] <|living_begin|> +【2025-12-28】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> +【2025-12-29】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-30】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-31】 + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> +【2026-01-03】 + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> +【2026-01-05】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-06】 + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> +【2026-01-08】 + 02:15 [广告-深度转化] <|ad_begin|> + 03:33 [广告-深度转化] <|ad_begin|> +【2026-01-09】 + 06:17 [广告-深度转化] <|ad_begin|> +【2026-01-10】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + 01:41 [广告-深度转化] <|ad_begin|> + 03:17 [广告-深度转化] <|ad_begin|> +【2026-01-11】 + --:-- [直播-关注/打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + 03:28 [广告-深度转化] <|ad_begin|> + 12:24 [广告-深度转化] <|ad_begin|> + 12:28 [广告-深度转化] <|ad_begin|> +【2026-01-12】 + 07:27 [广告-深度转化] <|ad_begin|> +【2026-01-13】 + 01:24 [广告-深度转化] <|ad_begin|> + 11:04 [广告-深度转化] <|ad_begin|> +【2026-01-14】 + --:-- [直播-关注/首次打赏] <|living_begin|> + 01:02 [广告-深度转化] <|ad_begin|> + 01:05 [广告-深度转化] <|ad_begin|> + 01:15 [广告-深度转化] <|ad_begin|> + 12:27 [广告-深度转化] <|ad_begin|> +【2026-01-15】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + 00:48 [广告-深度转化] <|ad_begin|> + 04:10 [广告-深度转化] <|ad_begin|> +【2026-01-17】 + --:-- [直播-关注/首次打赏] <|living_begin|> + 02:14 [广告-深度转化] <|ad_begin|> + 08:17 [广告-深度转化] <|ad_begin|> +【2026-01-18】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + 14:55 [广告-深度转化] <|ad_begin|> +【2026-01-19】 + 04:30 [广告-深度转化] <|ad_begin|> + 04:43 [广告-深度转化] <|ad_begin|> + 06:28 [广告-深度转化] <|ad_begin|> + 06:37 [广告-深度转化] <|ad_begin|> +【2026-01-20】 + 08:12 [广告-深度转化] <|ad_begin|> + 12:20 [广告-深度转化] <|ad_begin|> + 12:35 [广告-深度转化] <|ad_begin|> +【2026-01-21】 + --:-- [直播-关注] <|living_begin|> + 02:20 [广告-深度转化] <|ad_begin|> + 15:08 [广告-深度转化] <|ad_begin|> +【2026-01-22】 + 04:44 [广告-深度转化] <|ad_begin|> + 04:48 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 04:50 [广告-深度转化] <|ad_begin|> + 04:51 [广告-深度转化] <|ad_begin|> + 09:45 [广告-深度转化] <|ad_begin|> +【2026-01-23】 + 02:37 [广告-深度转化] <|ad_begin|> + 02:49 [广告-深度转化] <|ad_begin|> + 03:03 [广告-深度转化] <|ad_begin|> + 03:17 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-24】 + --:-- [直播-关注/首次打赏] <|living_begin|> + 01:08 [广告-深度转化] <|ad_begin|> + 01:14 [广告-深度转化] <|ad_begin|> + 01:29 [广告-深度转化] <|ad_begin|> + 01:32 [广告-深度转化] <|ad_begin|> + 01:35 [广告-深度转化] <|ad_begin|> + 01:37 [广告-深度转化] <|ad_begin|> + 01:37 [广告-点击] <|ad_begin|> + 01:37 [广告-点击] <|ad_begin|> + 01:40 [广告-深度转化] <|ad_begin|> + 01:40 [广告-点击] <|ad_begin|> + 01:41 [广告-深度转化] <|ad_begin|> + 01:41 [广告-点击] <|ad_begin|> + 01:45 [广告-点击] <|ad_begin|> + 01:49 [广告-点击] <|ad_begin|> + 01:50 [广告-点击] <|ad_begin|> + 03:20 [广告-点击] <|ad_begin|> + 03:21 [广告-点击] <|ad_begin|> + 03:22 [广告-深度转化] <|ad_begin|> + 03:22 [广告-点击] <|ad_begin|> + 03:23 [广告-点击] <|ad_begin|> + 03:25 [广告-深度转化] <|ad_begin|> + 03:25 [广告-点击] <|ad_begin|> + 03:26 [广告-点击] <|ad_begin|> + 03:27 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 07:54 [广告-点击] <|ad_begin|> + 11:57 [广告-深度转化] <|ad_begin|> + 11:57 [广告-点击] <|ad_begin|> + 12:05 [广告-点击] <|ad_begin|> + 12:06 [广告-点击] <|ad_begin|> +【2026-01-25】 + --:-- [直播-关注] <|living_begin|> + 03:31 [广告-深度转化] <|ad_begin|> + 03:31 [广告-点击] <|ad_begin|> + 03:33 [广告-点击] <|ad_begin|> + 03:35 [广告-深度转化] <|ad_begin|> + 03:35 [广告-点击] <|ad_begin|> + 03:37 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-26】 + --:-- [商品-点击] <|prod_begin|> + 13:16 [广告-点击] <|ad_begin|> + 13:18 [广告-点击] <|ad_begin|> + 13:19 [广告-点击] <|ad_begin|> +【2026-01-27】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + 11:22 [广告-点击] <|ad_begin|> + 15:12 [广告-点击] <|ad_begin|> + 15:13 [广告-点击] <|ad_begin|> + 16:10 [视频-长播] <|video_begin|> +【2026-01-28】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 13:00 [视频-长播] <|video_begin|> + 13:00 [视频-长播] <|video_begin|> +【2026-01-29】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + 11:24 [广告-点击] <|ad_begin|> +【2026-01-30】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2026-01-31】 + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + 05:05 [视频-长播] <|video_begin|> + 07:44 [视频-长播] <|video_begin|> + 07:44 [视频-长播] <|video_begin|> + 07:51 [广告-深度转化] <|ad_begin|> + 07:51 [广告-点击] <|ad_begin|> + 07:56 [广告-点击] <|ad_begin|> + 13:03 [视频-长播] <|video_begin|> + 14:55 [视频-长播] <|video_begin|> + 15:01 [视频-长播] <|video_begin|> + 15:01 [视频-长播] <|video_begin|> + 15:01 [视频-长播] <|video_begin|> + 15:01 [视频-关注/长播] <|video_begin|> + 15:11 [视频-长播] <|video_begin|> + 15:11 [视频-长播] <|video_begin|> + 15:11 [视频-长播] <|video_begin|> + 15:28 [视频-长播] <|video_begin|> + 15:28 [视频-长播] <|video_begin|> +【2026-02-01】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + 05:02 [视频-点赞/长播] <|video_begin|> + 05:27 [广告-点击] <|ad_begin|> + 05:30 [广告-点击] <|ad_begin|> +【2026-02-02】 + 02:59 [视频-长播] <|video_begin|> + 03:13 [视频-长播] <|video_begin|> + 03:23 [广告-深度转化] <|ad_begin|> + 03:23 [广告-点击] <|ad_begin|> + 03:25 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 16:16 [视频-长播] <|video_begin|> + 16:46 [视频-长播] <|video_begin|> + 16:46 [视频-长播] <|video_begin|> + 16:46 [视频-长播] <|video_begin|> +【2026-02-03】 + 04:19 [视频-长播] <|video_begin|> + 04:19 [视频-长播] <|video_begin|> + 04:19 [视频-长播] <|video_begin|> + 04:19 [视频-点赞/长播] <|video_begin|> + 04:30 [视频-长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 08:45 [视频-长播] <|video_begin|> + 09:16 [视频-长播] <|video_begin|> + 14:30 [视频-长播] <|video_begin|> + 14:30 [视频-长播] <|video_begin|> + 14:30 [视频-长播] <|video_begin|> + 14:30 [视频-关注/点赞/长播] <|video_begin|> +【2026-02-04】 + 02:43 [视频-长播] <|video_begin|> + 02:43 [视频-长播] <|video_begin|> + 02:43 [视频-长播] <|video_begin|> + 02:43 [视频-关注/长播] <|video_begin|> + 02:55 [视频-长播] <|video_begin|> + 06:28 [广告-点击] <|ad_begin|> + 06:29 [广告-深度转化] <|ad_begin|> + 06:29 [广告-点击] <|ad_begin|> + 06:31 [广告-深度转化] <|ad_begin|> + 06:31 [广告-点击] <|ad_begin|> + 06:32 [广告-点击] <|ad_begin|> + 06:34 [广告-深度转化] <|ad_begin|> + 06:34 [广告-点击] <|ad_begin|> + 06:37 [广告-深度转化] <|ad_begin|> + 06:37 [广告-点击] <|ad_begin|> + 06:38 [广告-深度转化] <|ad_begin|> + 06:38 [广告-点击] <|ad_begin|> + 06:39 [广告-点击] <|ad_begin|> + 06:40 [广告-点击] <|ad_begin|> + 06:46 [广告-深度转化] <|ad_begin|> + 06:46 [广告-点击] <|ad_begin|> + 06:47 [广告-点击] <|ad_begin|> + 06:47 [广告-深度转化] <|ad_begin|> + 06:47 [广告-点击] <|ad_begin|> + 11:27 [视频-长播] <|video_begin|> + 11:27 [视频-长播] <|video_begin|> + 11:27 [视频-关注/长播] <|video_begin|> + 12:07 [视频-长播] <|video_begin|> + 12:07 [视频-长播] <|video_begin|> + 12:25 [广告-深度转化] <|ad_begin|> + 12:25 [广告-点击] <|ad_begin|> + 12:26 [广告-点击] <|ad_begin|> + 15:25 [视频-长播] <|video_begin|> + 15:25 [视频-长播] <|video_begin|> + 16:26 [视频-长播] <|video_begin|> + 16:26 [视频-长播] <|video_begin|> + 16:26 [视频-长播] <|video_begin|> + 16:26 [视频-点赞/长播] <|video_begin|> + 16:35 [视频-长播] <|video_begin|> + 16:41 [视频-长播] <|video_begin|> + 16:41 [视频-长播] <|video_begin|> + 16:41 [视频-长播] <|video_begin|> + 16:41 [视频-关注/长播] <|video_begin|> + 16:47 [视频-关注/长播] <|video_begin|> +【2026-02-05】 + 01:30 [视频-长播] <|video_begin|> + 02:51 [广告-深度转化] <|ad_begin|> + 02:51 [广告-点击] <|ad_begin|> + 02:53 [广告-点击] <|ad_begin|> + 02:53 [广告-深度转化] <|ad_begin|> + 02:53 [广告-点击] <|ad_begin|> + 02:54 [广告-点击] <|ad_begin|> + 02:56 [广告-深度转化] <|ad_begin|> + 02:56 [广告-点击] <|ad_begin|> + 02:59 [广告-点击] <|ad_begin|> + 03:01 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 09:19 [视频-长播] <|video_begin|> + 12:49 [广告-深度转化] <|ad_begin|> + 12:49 [广告-点击] <|ad_begin|> + 12:50 [广告-点击] <|ad_begin|> + 12:54 [广告-深度转化] <|ad_begin|> + 12:54 [广告-点击] <|ad_begin|> + 12:55 [广告-点击] <|ad_begin|> + 12:57 [广告-深度转化] <|ad_begin|> + 12:57 [广告-点击] <|ad_begin|> + 12:58 [广告-点击] <|ad_begin|> + 13:02 [广告-点击] <|ad_begin|> + 13:03 [广告-深度转化] <|ad_begin|> + 13:03 [广告-点击] <|ad_begin|> + 13:04 [广告-点击] <|ad_begin|> + 13:09 [广告-深度转化] <|ad_begin|> + 13:09 [广告-点击] <|ad_begin|> + 13:10 [广告-点击] <|ad_begin|> + 13:13 [广告-点击] <|ad_begin|> + 13:14 [广告-深度转化] <|ad_begin|> + 13:14 [广告-点击] <|ad_begin|> + 13:15 [广告-点击] <|ad_begin|> + +角色任务：你需要以极端严苛的用户行为数据挖掘专家及数据格式化专家的身份，基于以上交互历史，针对给定主题筛选并提取出全部相关的历史交互行为。 + +主题：从汽车消费意向到新年祈福装饰的关联决策 + +输出格式要求：请仅输出包含 SID 的 JSON 数组，严禁输出任何额外的解释、说明或 Markdown 标记。/no_think<|im_end|> +<|im_start|>assistant +["<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|living_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|ad_begin|>", "<|prod_begin|>", "<|video_begin|>", "<|prod_begin|>"]<|im_end|> +<|im_start|>user +【用户交互历史】： +【2022-11-21】 + --:-- [商品-购买] <|prod_begin|> +【2022-12-12】 + --:-- [商品-购买] <|prod_begin|> +【2022-12-27】 + --:-- [商品-购买] <|prod_begin|> +【2023-01-01】 + --:-- [商品-购买] <|prod_begin|> +【2023-02-02】 + --:-- [商品-购买] <|prod_begin|> +【2023-02-10】 + --:-- [商品-购买] <|prod_begin|> +【2023-04-10】 + --:-- [商品-购买] <|prod_begin|> +【2023-04-15】 + --:-- [商品-购买] <|prod_begin|> +【2023-07-29】 + --:-- [商品-购买] <|prod_begin|> +【2023-08-05】 + --:-- [商品-购买] <|prod_begin|> +【2023-08-15】 + --:-- [商品-购买] <|prod_begin|> +【2023-08-22】 + --:-- [商品-购买] <|prod_begin|> +【2023-08-23】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2023-08-24】 + --:-- [商品-购买] <|prod_begin|> +【2023-09-03】 + --:-- [商品-购买] <|prod_begin|> +【2023-09-20】 + --:-- [商品-购买] <|prod_begin|> +【2023-10-08】 + --:-- [商品-购买] <|prod_begin|> +【2023-10-13】 + --:-- [商品-购买] <|prod_begin|> +【2023-12-10】 + --:-- [商品-购买] <|prod_begin|> +【2023-12-26】 + --:-- [商品-购买] <|prod_begin|> +【2023-12-27】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-02-04】 + --:-- [商品-购买] <|prod_begin|> +【2024-02-23】 + --:-- [商品-购买] <|prod_begin|> +【2024-05-22】 + --:-- [商品-购买] <|prod_begin|> +【2024-10-30】 + --:-- [商品-购买] <|prod_begin|> +【2024-11-04】 + --:-- [商品-购买] <|prod_begin|> +【2024-11-05】 + --:-- [商品-购买] <|prod_begin|> +【2024-11-27】 + --:-- [商品-购买] <|prod_begin|> +【2025-01-23】 + --:-- [直播-关注] <|living_begin|> +【2025-01-29】 + --:-- [直播-关注] <|living_begin|> +【2025-02-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-03-20】 + --:-- [直播-关注] <|living_begin|> +【2025-03-28】 + --:-- [直播-关注] <|living_begin|> +【2025-03-30】 + --:-- [商品-购买] <|prod_begin|> +【2025-03-31】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-04-25】 + --:-- [直播-关注] <|living_begin|> +【2025-05-04】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-05】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-22】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-02】 + --:-- [直播-关注] <|living_begin|> +【2025-09-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-21】 + --:-- [直播-关注] <|living_begin|> +【2025-10-11】 + --:-- [商品-点击] <|prod_begin|> +【2025-10-13】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-01】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-02】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-05】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-08】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-12】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-19】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-20】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-27】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-28】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-29】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-03】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-04】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-08】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-13】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-16】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-18】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-19】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-22】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-01】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-02】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-03】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-04】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2026-01-05】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-06】 + --:-- [直播-关注/打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2026-01-07】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> +【2026-01-08】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> +【2026-01-09】 + --:-- [直播-打赏] <|living_begin|> +【2026-01-10】 + --:-- [直播-打赏] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-11】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2026-01-12】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + 02:03 [广告-深度转化] <|ad_begin|> + 03:16 [广告-深度转化] <|ad_begin|> + 03:44 [广告-深度转化] <|ad_begin|> + 05:17 [广告-深度转化] <|ad_begin|> + 11:03 [广告-深度转化] <|ad_begin|> + 18:01 [广告-深度转化] <|ad_begin|> +【2026-01-13】 + 21:49 [广告-深度转化] <|ad_begin|> +【2026-01-14】 + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 17:37 [广告-深度转化] <|ad_begin|> + 19:29 [广告-深度转化] <|ad_begin|> +【2026-01-15】 + --:-- [直播-打赏] <|living_begin|> +【2026-01-16】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + 23:45 [广告-深度转化] <|ad_begin|> +【2026-01-17】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + 01:15 [广告-深度转化] <|ad_begin|> +【2026-01-18】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + 19:28 [广告-深度转化] <|ad_begin|> + 22:41 [广告-深度转化] <|ad_begin|> +【2026-01-19】 + --:-- [直播-关注/首次打赏] <|living_begin|> + 22:58 [广告-深度转化] <|ad_begin|> +【2026-01-20】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + 05:55 [广告-深度转化] <|ad_begin|> + 13:09 [广告-深度转化] <|ad_begin|> +【2026-01-21】 + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + 11:47 [广告-深度转化] <|ad_begin|> +【2026-01-22】 + --:-- [直播-关注/打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + 14:08 [广告-深度转化] <|ad_begin|> +【2026-01-23】 + --:-- [直播-首次打赏] <|living_begin|> + 02:57 [广告-深度转化] <|ad_begin|> + 03:03 [广告-深度转化] <|ad_begin|> + 06:08 [广告-深度转化] <|ad_begin|> +【2026-01-24】 + 00:24 [视频-点赞/长播] <|video_begin|> + 18:21 [广告-深度转化] <|ad_begin|> + 21:46 [广告-深度转化] <|ad_begin|> +【2026-01-25】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + 21:43 [视频-收藏/长播] <|video_begin|> + 22:34 [广告-深度转化] <|ad_begin|> +【2026-01-26】 + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + 05:44 [广告-深度转化] <|ad_begin|> + 15:00 [广告-深度转化] <|ad_begin|> + 15:15 [广告-深度转化] <|ad_begin|> + 15:24 [广告-深度转化] <|ad_begin|> +【2026-01-27】 + 00:20 [广告-深度转化] <|ad_begin|> + 15:07 [广告-深度转化] <|ad_begin|> + 19:34 [广告-深度转化] <|ad_begin|> + 19:34 [广告-点击] <|ad_begin|> + 19:51 [广告-点击] <|ad_begin|> + 20:00 [广告-点击] <|ad_begin|> + 20:28 [广告-点击] <|ad_begin|> + 22:56 [广告-点击] <|ad_begin|> + 23:00 [广告-深度转化] <|ad_begin|> + 23:00 [广告-点击] <|ad_begin|> +【2026-01-28】 + 06:21 [广告-深度转化] <|ad_begin|> + 06:21 [广告-点击] <|ad_begin|> + 06:29 [广告-深度转化] <|ad_begin|> + 06:29 [广告-点击] <|ad_begin|> + 08:26 [广告-深度转化] <|ad_begin|> + 08:26 [广告-点击] <|ad_begin|> + 13:11 [广告-点击] <|ad_begin|> + 13:32 [广告-深度转化] <|ad_begin|> + 13:32 [广告-点击] <|ad_begin|> + 21:45 [广告-点击] <|ad_begin|> +【2026-01-29】 + 03:01 [广告-深度转化] <|ad_begin|> + 03:01 [广告-点击] <|ad_begin|> + 06:37 [广告-点击] <|ad_begin|> + 09:45 [广告-深度转化] <|ad_begin|> + 09:45 [广告-点击] <|ad_begin|> + 13:06 [广告-深度转化] <|ad_begin|> + 13:06 [广告-点击] <|ad_begin|> + 20:05 [广告-点击] <|ad_begin|> + 20:08 [广告-深度转化] <|ad_begin|> + 20:08 [广告-点击] <|ad_begin|> + 20:21 [广告-点击] <|ad_begin|> + 20:23 [广告-点击] <|ad_begin|> + 21:25 [广告-深度转化] <|ad_begin|> + 21:25 [广告-点击] <|ad_begin|> + 21:57 [广告-点击] <|ad_begin|> +【2026-01-30】 + 00:37 [视频-评论/长播] <|video_begin|> + 01:08 [广告-深度转化] <|ad_begin|> + 01:08 [广告-点击] <|ad_begin|> + 05:29 [视频-点赞/长播] <|video_begin|> + 07:50 [视频-点赞/长播] <|video_begin|> + 14:11 [广告-深度转化] <|ad_begin|> + 14:11 [广告-点击] <|ad_begin|> + 16:46 [广告-点击] <|ad_begin|> + 20:13 [广告-点击] <|ad_begin|> + 21:26 [广告-点击] <|ad_begin|> + 21:31 [广告-深度转化] <|ad_begin|> + 21:31 [广告-点击] <|ad_begin|> +【2026-01-31】 + --:-- [直播-关注/打赏] <|living_begin|> + 02:33 [广告-点击] <|ad_begin|> + 02:40 [广告-深度转化] <|ad_begin|> + 02:40 [广告-点击] <|ad_begin|> + 02:52 [广告-深度转化] <|ad_begin|> + 02:52 [广告-点击] <|ad_begin|> + 03:08 [广告-深度转化] <|ad_begin|> + 03:08 [广告-点击] <|ad_begin|> + 04:14 [广告-深度转化] <|ad_begin|> + 04:14 [广告-点击] <|ad_begin|> + 07:06 [广告-深度转化] <|ad_begin|> + 07:06 [广告-点击] <|ad_begin|> + 14:49 [广告-深度转化] <|ad_begin|> + 14:49 [广告-点击] <|ad_begin|> + 17:21 [广告-深度转化] <|ad_begin|> + 17:21 [广告-点击] <|ad_begin|> + 18:24 [广告-点击] <|ad_begin|> + 20:14 [广告-点击] <|ad_begin|> + 20:21 [广告-深度转化] <|ad_begin|> + 20:21 [广告-点击] <|ad_begin|> + 20:59 [广告-深度转化] <|ad_begin|> + 20:59 [广告-点击] <|ad_begin|> + 21:54 [广告-深度转化] <|ad_begin|> + 21:54 [广告-点击] <|ad_begin|> + 22:45 [广告-深度转化] <|ad_begin|> + 22:45 [广告-点击] <|ad_begin|> +【2026-02-01】 + 08:07 [视频-评论/点赞/长播] <|video_begin|> + 09:57 [视频-评论/点赞/长播] <|video_begin|> + 10:04 [视频-长播] <|video_begin|> + 11:12 [视频-长播] <|video_begin|> + 11:14 [视频-长播] <|video_begin|> + 13:36 [广告-深度转化] <|ad_begin|> + 13:36 [广告-点击] <|ad_begin|> + 14:21 [广告-点击] <|ad_begin|> + 14:34 [广告-深度转化] <|ad_begin|> + 14:34 [广告-点击] <|ad_begin|> + 21:35 [广告-深度转化] <|ad_begin|> + 21:35 [广告-点击] <|ad_begin|> + 22:00 [广告-深度转化] <|ad_begin|> + 22:00 [广告-点击] <|ad_begin|> + 22:37 [广告-点击] <|ad_begin|> + 22:47 [广告-深度转化] <|ad_begin|> + 22:47 [广告-点击] <|ad_begin|> +【2026-02-02】 + 03:31 [广告-深度转化] <|ad_begin|> + 03:31 [广告-点击] <|ad_begin|> + 04:11 [视频-点赞/长播] <|video_begin|> + 04:57 [广告-点击] <|ad_begin|> + 05:21 [视频-长播] <|video_begin|> + 05:21 [视频-长播] <|video_begin|> + 05:21 [视频-长播] <|video_begin|> + 05:21 [视频-长播] <|video_begin|> + 05:23 [视频-长播] <|video_begin|> + 05:59 [视频-长播] <|video_begin|> + 05:59 [视频-长播] <|video_begin|> + 05:59 [视频-长播] <|video_begin|> + 05:59 [视频-长播] <|video_begin|> + 06:08 [视频-长播] <|video_begin|> + 06:17 [视频-长播] <|video_begin|> + 10:00 [广告-点击] <|ad_begin|> + 21:38 [广告-深度转化] <|ad_begin|> + 21:38 [广告-点击] <|ad_begin|> + 21:51 [广告-深度转化] <|ad_begin|> + 21:51 [广告-点击] <|ad_begin|> +【2026-02-03】 + 02:58 [视频-长播] <|video_begin|> + 03:01 [视频-长播] <|video_begin|> + 03:01 [视频-长播] <|video_begin|> + 03:04 [视频-长播] <|video_begin|> + 03:12 [视频-长播] <|video_begin|> + 03:12 [视频-点赞/长播] <|video_begin|> + 03:41 [视频-长播] <|video_begin|> + 03:45 [视频-长播] <|video_begin|> + 03:45 [视频-长播] <|video_begin|> + 03:45 [视频-长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 05:58 [视频-长播] <|video_begin|> + 06:12 [广告-点击] <|ad_begin|> + 09:29 [视频-转发/长播] <|video_begin|> + 10:01 [视频-长播] <|video_begin|> + 10:04 [视频-长播] <|video_begin|> + 10:04 [视频-长播] <|video_begin|> + 10:13 [视频-长播] <|video_begin|> + 10:16 [视频-长播] <|video_begin|> + 10:22 [视频-长播] <|video_begin|> + 11:03 [视频-长播] <|video_begin|> + 11:03 [视频-长播] <|video_begin|> + 11:04 [视频-长播] <|video_begin|> + 11:34 [视频-长播] <|video_begin|> + 11:36 [视频-长播] <|video_begin|> + 11:36 [视频-点赞/长播] <|video_begin|> + 16:17 [广告-深度转化] <|ad_begin|> + 16:17 [广告-点击] <|ad_begin|> +【2026-02-04】 + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + 00:30 [广告-点击] <|ad_begin|> + 02:28 [广告-点击] <|ad_begin|> + 07:30 [视频-长播] <|video_begin|> + 07:35 [视频-长播] <|video_begin|> + 07:50 [视频-长播] <|video_begin|> + 08:01 [视频-长播] <|video_begin|> + 13:37 [广告-点击] <|ad_begin|> + 14:40 [广告-点击] <|ad_begin|> + 20:22 [视频-长播] <|video_begin|> + 20:22 [视频-长播] <|video_begin|> + 20:49 [广告-深度转化] <|ad_begin|> + 20:49 [广告-点击] <|ad_begin|> + 21:35 [视频-长播] <|video_begin|> + 21:49 [视频-长播] <|video_begin|> + 21:49 [视频-长播] <|video_begin|> + 21:49 [视频-长播] <|video_begin|> + 21:49 [视频-长播] <|video_begin|> + 21:49 [视频-长播] <|video_begin|> + 22:15 [广告-深度转化] <|ad_begin|> + 22:15 [广告-点击] <|ad_begin|> + 22:27 [广告-点击] <|ad_begin|> + 23:06 [广告-深度转化] <|ad_begin|> + 23:06 [广告-点击] <|ad_begin|> + 23:21 [广告-点击] <|ad_begin|> +【2026-02-05】 + 01:09 [视频-长播] <|video_begin|> + 01:09 [视频-长播] <|video_begin|> + 02:09 [视频-长播] <|video_begin|> + 02:53 [广告-深度转化] <|ad_begin|> + 02:53 [广告-点击] <|ad_begin|> + 05:20 [广告-深度转化] <|ad_begin|> + 05:20 [广告-点击] <|ad_begin|> + 06:39 [广告-深度转化] <|ad_begin|> + 06:39 [广告-点击] <|ad_begin|> + 10:31 [广告-点击] <|ad_begin|> + 12:29 [广告-点击] <|ad_begin|> + +角色任务：你需要以极端严苛的用户行为数据挖掘专家及数据格式化专家的身份，基于以上交互历史，针对给定主题筛选并提取出全部相关的历史交互行为。 + +主题：从泛化情感寄托到聚焦现实法律问题的认知转变 + +输出格式要求：请仅输出包含 SID 的 JSON 数组，严禁输出任何额外的解释、说明或 Markdown 标记。/no_think<|im_end|> +<|im_start|>assistant +["<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|video_begin|>", "<|ad_begin|>", "<|video_begin|>", "<|ad_begin|>", "<|ad_begin|>"]<|im_end|> +<|im_start|>user +【用户交互历史】： +【2024-04-26】 + --:-- [商品-购买] <|prod_begin|> +【2024-08-04】 + --:-- [商品-购买] <|prod_begin|> +【2024-09-19】 + --:-- [商品-购买] <|prod_begin|> +【2024-10-10】 + --:-- [商品-购买] <|prod_begin|> +【2024-10-31】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-12-07】 + --:-- [商品-购买] <|prod_begin|> +【2025-01-06】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-01-31】 + --:-- [商品-购买] <|prod_begin|> +【2025-02-05】 + --:-- [商品-购买] <|prod_begin|> +【2025-02-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-03-22】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-03-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-03-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-04-05】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-05-08】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-05-13】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-06-12】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-21】 + --:-- [直播-打赏] <|living_begin|> +【2025-07-01】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-07-07】 + --:-- [直播-关注] <|living_begin|> +【2025-07-09】 + --:-- [直播-关注] <|living_begin|> +【2025-07-11】 + --:-- [直播-关注] <|living_begin|> +【2025-07-15】 + --:-- [直播-关注] <|living_begin|> +【2025-07-17】 + --:-- [直播-关注] <|living_begin|> +【2025-07-18】 + --:-- [直播-关注] <|living_begin|> +【2025-07-19】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-07-24】 + --:-- [直播-关注] <|living_begin|> +【2025-07-29】 + --:-- [直播-关注] <|living_begin|> +【2025-07-30】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-07-31】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-08-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-09】 + --:-- [直播-关注] <|living_begin|> +【2025-08-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-22】 + --:-- [直播-关注] <|living_begin|> +【2025-08-23】 + --:-- [直播-关注] <|living_begin|> +【2025-08-24】 + --:-- [直播-关注] <|living_begin|> +【2025-08-28】 + --:-- [直播-关注] <|living_begin|> +【2025-09-01】 + --:-- [直播-关注] <|living_begin|> +【2025-09-03】 + --:-- [直播-关注] <|living_begin|> +【2025-09-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-17】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-22】 + --:-- [直播-关注] <|living_begin|> +【2025-09-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-09】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-13】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-21】 + --:-- [直播-关注] <|living_begin|> +【2025-11-24】 + --:-- [直播-关注] <|living_begin|> +【2025-11-29】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-30】 + --:-- [直播-关注] <|living_begin|> +【2025-12-03】 + --:-- [直播-关注] <|living_begin|> +【2025-12-04】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-05】 + --:-- [直播-关注] <|living_begin|> +【2025-12-06】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-09】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-10】 + --:-- [直播-关注] <|living_begin|> + 02:08 [广告-深度转化] <|ad_begin|> +【2025-12-13】 + 21:37 [广告-深度转化] <|ad_begin|> +【2025-12-16】 + --:-- [直播-关注] <|living_begin|> + 07:48 [广告-深度转化] <|ad_begin|> +【2025-12-17】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-18】 + --:-- [直播-关注] <|living_begin|> +【2025-12-21】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-22】 + 06:22 [广告-深度转化] <|ad_begin|> + 09:03 [广告-深度转化] <|ad_begin|> +【2025-12-23】 + 06:14 [广告-深度转化] <|ad_begin|> + 07:47 [广告-深度转化] <|ad_begin|> + 13:04 [广告-深度转化] <|ad_begin|> +【2025-12-24】 + 22:47 [广告-深度转化] <|ad_begin|> +【2025-12-25】 + 03:35 [广告-深度转化] <|ad_begin|> + 08:09 [广告-深度转化] <|ad_begin|> + 09:42 [广告-深度转化] <|ad_begin|> + 10:50 [广告-深度转化] <|ad_begin|> +【2025-12-26】 + --:-- [商品-购买] <|prod_begin|> + 07:13 [广告-深度转化] <|ad_begin|> + 12:32 [广告-深度转化] <|ad_begin|> + 12:32 [广告-点击] <|ad_begin|> + 19:18 [广告-点击] <|ad_begin|> + 19:23 [广告-深度转化] <|ad_begin|> + 19:23 [广告-点击] <|ad_begin|> + 21:14 [广告-深度转化] <|ad_begin|> + 21:14 [广告-点击] <|ad_begin|> +【2025-12-27】 + 01:07 [广告-点击] <|ad_begin|> + 01:28 [广告-深度转化] <|ad_begin|> + 01:28 [广告-点击] <|ad_begin|> + 07:53 [广告-深度转化] <|ad_begin|> + 07:53 [广告-点击] <|ad_begin|> + 23:21 [广告-点击] <|ad_begin|> + 23:40 [广告-深度转化] <|ad_begin|> + 23:40 [广告-点击] <|ad_begin|> +【2025-12-28】 + 13:59 [广告-点击] <|ad_begin|> + 14:06 [广告-点击] <|ad_begin|> + 14:09 [广告-点击] <|ad_begin|> +【2025-12-30】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 01:00 [广告-深度转化] <|ad_begin|> + 01:00 [广告-点击] <|ad_begin|> + 04:59 [广告-深度转化] <|ad_begin|> + 04:59 [广告-点击] <|ad_begin|> + 06:38 [广告-深度转化] <|ad_begin|> + 06:38 [广告-点击] <|ad_begin|> + 14:32 [广告-深度转化] <|ad_begin|> + 14:32 [广告-点击] <|ad_begin|> +【2025-12-31】 + 17:59 [广告-点击] <|ad_begin|> +【2026-01-01】 + --:-- [直播-关注] <|living_begin|> + 23:33 [广告-深度转化] <|ad_begin|> + 23:33 [广告-点击] <|ad_begin|> +【2026-01-02】 + 00:50 [广告-深度转化] <|ad_begin|> + 00:50 [广告-点击] <|ad_begin|> + 11:36 [广告-点击] <|ad_begin|> + 14:38 [广告-深度转化] <|ad_begin|> + 14:38 [广告-点击] <|ad_begin|> +【2026-01-03】 + 07:14 [广告-点击] <|ad_begin|> +【2026-01-04】 + 04:03 [广告-深度转化] <|ad_begin|> + 04:03 [广告-点击] <|ad_begin|> + 04:23 [广告-深度转化] <|ad_begin|> + 04:23 [广告-点击] <|ad_begin|> + 04:52 [广告-深度转化] <|ad_begin|> + 04:52 [广告-点击] <|ad_begin|> + 09:24 [广告-深度转化] <|ad_begin|> + 09:24 [广告-点击] <|ad_begin|> + 09:52 [广告-深度转化] <|ad_begin|> + 09:52 [广告-点击] <|ad_begin|> +【2026-01-05】 + 10:48 [广告-点击] <|ad_begin|> + 12:26 [广告-深度转化] <|ad_begin|> + 12:26 [广告-点击] <|ad_begin|> +【2026-01-06】 + 06:52 [广告-点击] <|ad_begin|> + 06:54 [广告-点击] <|ad_begin|> + 12:14 [广告-深度转化] <|ad_begin|> + 12:14 [广告-点击] <|ad_begin|> +【2026-01-07】 + --:-- [直播-关注] <|living_begin|> + 03:37 [广告-深度转化] <|ad_begin|> + 03:37 [广告-点击] <|ad_begin|> + 03:49 [广告-深度转化] <|ad_begin|> + 03:49 [广告-点击] <|ad_begin|> + 11:34 [广告-深度转化] <|ad_begin|> + 11:34 [广告-点击] <|ad_begin|> + 22:11 [广告-深度转化] <|ad_begin|> + 22:11 [广告-点击] <|ad_begin|> +【2026-01-08】 + 03:46 [广告-点击] <|ad_begin|> + 10:21 [广告-深度转化] <|ad_begin|> + 10:21 [广告-点击] <|ad_begin|> + 10:42 [广告-点击] <|ad_begin|> +【2026-01-09】 + --:-- [直播-关注] <|living_begin|> +【2026-01-10】 + --:-- [直播-关注] <|living_begin|> + 03:25 [广告-点击] <|ad_begin|> +【2026-01-11】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-12】 + 00:38 [广告-点击] <|ad_begin|> + 10:03 [广告-深度转化] <|ad_begin|> + 10:03 [广告-点击] <|ad_begin|> + 16:29 [广告-深度转化] <|ad_begin|> + 16:29 [广告-点击] <|ad_begin|> +【2026-01-13】 + --:-- [直播-关注] <|living_begin|> +【2026-01-14】 + 21:34 [广告-深度转化] <|ad_begin|> + 21:34 [广告-点击] <|ad_begin|> +【2026-01-15】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-17】 + 01:19 [广告-点击] <|ad_begin|> + 07:49 [广告-点击] <|ad_begin|> + 21:05 [广告-深度转化] <|ad_begin|> + 21:05 [广告-点击] <|ad_begin|> + 22:23 [广告-深度转化] <|ad_begin|> + 22:23 [广告-点击] <|ad_begin|> +【2026-01-18】 + --:-- [商品-购买] <|prod_begin|> + 09:20 [广告-点击] <|ad_begin|> +【2026-01-20】 + 20:46 [广告-点击] <|ad_begin|> + 20:57 [广告-深度转化] <|ad_begin|> + 20:57 [广告-点击] <|ad_begin|> + 21:18 [广告-深度转化] <|ad_begin|> + 21:18 [广告-点击] <|ad_begin|> +【2026-01-21】 + 19:50 [广告-点击] <|ad_begin|> +【2026-01-22】 + 17:49 [视频-收藏/长播] <|video_begin|> + 20:35 [广告-深度转化] <|ad_begin|> + 20:35 [广告-点击] <|ad_begin|> +【2026-01-23】 + 01:17 [广告-点击] <|ad_begin|> + 01:39 [广告-深度转化] <|ad_begin|> + 01:39 [广告-点击] <|ad_begin|> + 06:10 [广告-深度转化] <|ad_begin|> + 06:10 [广告-点击] <|ad_begin|> +【2026-01-24】 + 06:07 [视频-点赞/长播] <|video_begin|> +【2026-01-25】 + 13:36 [视频-关注/长播] <|video_begin|> + 21:21 [广告-深度转化] <|ad_begin|> + 21:21 [广告-点击] <|ad_begin|> +【2026-01-27】 + 00:05 [视频-关注/长播] <|video_begin|> + 09:19 [广告-深度转化] <|ad_begin|> + 09:19 [广告-点击] <|ad_begin|> + 09:53 [广告-深度转化] <|ad_begin|> + 09:53 [广告-点击] <|ad_begin|> + 22:20 [广告-深度转化] <|ad_begin|> + 22:20 [广告-点击] <|ad_begin|> +【2026-01-28】 + 00:59 [视频-评论/点赞/长播] <|video_begin|> + 01:40 [广告-深度转化] <|ad_begin|> + 01:40 [广告-点击] <|ad_begin|> + 21:02 [视频-收藏/长播] <|video_begin|> + 21:22 [广告-深度转化] <|ad_begin|> + 21:22 [广告-点击] <|ad_begin|> +【2026-01-29】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 00:49 [广告-点击] <|ad_begin|> + 22:17 [广告-深度转化] <|ad_begin|> + 22:17 [广告-点击] <|ad_begin|> +【2026-01-30】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-31】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 22:48 [广告-点击] <|ad_begin|> + 23:23 [广告-深度转化] <|ad_begin|> + 23:23 [广告-点击] <|ad_begin|> +【2026-02-01】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-02-02】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 02:37 [广告-深度转化] <|ad_begin|> + 02:37 [广告-点击] <|ad_begin|> + 07:31 [广告-点击] <|ad_begin|> + 22:06 [广告-深度转化] <|ad_begin|> + 22:06 [广告-点击] <|ad_begin|> + 22:37 [视频-评论/长播] <|video_begin|> +【2026-02-03】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 00:30 [视频-长播] <|video_begin|> + 00:33 [视频-长播] <|video_begin|> + 00:33 [视频-长播] <|video_begin|> + 00:33 [视频-长播] <|video_begin|> + 00:51 [视频-长播] <|video_begin|> + 01:02 [视频-长播] <|video_begin|> + 02:18 [视频-长播] <|video_begin|> + 02:18 [视频-长播] <|video_begin|> + 02:23 [视频-长播] <|video_begin|> + 02:26 [视频-长播] <|video_begin|> + 02:26 [视频-长播] <|video_begin|> + 02:26 [视频-长播] <|video_begin|> + 02:26 [视频-长播] <|video_begin|> + 02:40 [视频-长播] <|video_begin|> + 02:40 [视频-长播] <|video_begin|> + 08:04 [视频-长播] <|video_begin|> + 08:10 [视频-长播] <|video_begin|> + 08:10 [视频-长播] <|video_begin|> + 08:10 [视频-长播] <|video_begin|> + 09:32 [视频-长播] <|video_begin|> + 09:32 [视频-长播] <|video_begin|> + 09:32 [视频-转发/长播] <|video_begin|> + 09:43 [视频-长播] <|video_begin|> + 10:50 [视频-长播] <|video_begin|> +【2026-02-04】 + --:-- [直播-关注] <|living_begin|> + 02:27 [视频-长播] <|video_begin|> + 02:27 [视频-长播] <|video_begin|> + 02:36 [视频-长播] <|video_begin|> + 02:36 [视频-关注/长播] <|video_begin|> + 02:43 [视频-长播] <|video_begin|> + 02:46 [视频-长播] <|video_begin|> + 02:46 [视频-长播] <|video_begin|> + 06:46 [视频-长播] <|video_begin|> + 06:46 [视频-长播] <|video_begin|> + 06:51 [视频-长播] <|video_begin|> + 06:51 [视频-长播] <|video_begin|> + 06:52 [视频-长播] <|video_begin|> + 06:52 [视频-长播] <|video_begin|> + 06:52 [视频-长播] <|video_begin|> + 06:57 [视频-长播] <|video_begin|> + 06:57 [视频-长播] <|video_begin|> + 06:57 [视频-长播] <|video_begin|> + 07:09 [视频-长播] <|video_begin|> + 07:09 [视频-长播] <|video_begin|> + 07:09 [视频-长播] <|video_begin|> + 20:16 [视频-长播] <|video_begin|> +【2026-02-05】 + 01:11 [视频-长播] <|video_begin|> + 01:20 [视频-长播] <|video_begin|> + 01:20 [视频-长播] <|video_begin|> + 01:20 [视频-长播] <|video_begin|> + 08:16 [视频-长播] <|video_begin|> + 08:16 [视频-长播] <|video_begin|> + 09:00 [视频-长播] <|video_begin|> +角色任务：你是极端严苛的用户行为数据挖掘专家，同时也是数据格式化专家，请结合以上用户交互历史，面向给定主题提取带有递进行为逻辑和内在关联的交互行为逻辑链。 +交互行为类型（固定格式严禁更改）： 商品-点击、商品-购买、搜索-搜索、直播-关注、直播-首次打赏、视频-浏览、视频-长播、广告-点击、广告-深度转化 +核心抽取逻辑（递进性准则）： +请依时间顺序提取 5 步以内的行为链，并确保后项交互B是前项交互A的场景需求协同补充、副作用诱因或兴趣细化升级，也就是 B 必须由 A 的延伸需求所驱动；严禁提取任何品类平级、内容重复或仅因天气/促销形成的并列凑单行为。 +1.场景驱动协同：交互 B 与交互 A 必须同属一个生活场景及主题类目，并呈现极强的需求补完性。 +2.兴趣因果递进：交互 B 必须由交互 A 引发的副作用或新需求而产生，或者 A 本身就是 B 的诱因。 +3.需求深度细化：在同一主题类目中，交互 B 相比交互 A 应体现出更具体、更详细的需求层次，但不得包含多次重复的购买、点击、搜索等行为，以避免重复节点内容。 +请针对以下主题提取行为逻辑链： +主题：从娱乐消遣到寻求专业法律咨询的认知跃迁 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "从娱乐消遣到寻求专业法律咨询的认知跃迁", + "events": [ + { + "date": "YYYY-MM-DD", + "action": "[交互行为类型] 交互内容"（严格对应Timeline中交互条目，不允许省略）, + "logic": "逻辑说明" + } + ] + } +}/think<|im_end|> +<|im_start|>assistant +{"logic_chain": {"name": "从娱乐消遣到寻求专业法律咨询的认知跃迁", "events": [{"date": "2025-12-22", "action": "[广告-深度转化] <|ad_begin|>", "logic": "问题域接触：通过观看大量关于“出轨”、“情感纠葛”、“家庭矛盾”等主题的短剧广告，被动地接触并沉浸在相关问题情境中。"}, {"date": "2026-01-06", "action": "[直播-首次打赏] <|living_begin|>", "logic": "认知跃迁与路径修正：用户的兴趣点从虚构的剧情消费，转向了现实中的专业解决方案。主动对提供“刑案咨询”和“实务讲解”的直播主进行打赏，表明其需求从娱乐消遣升级为获取专业法律知识，是典型的认知跃迁。"}]}}<|im_end|> +<|im_start|>user +你负责根据用户多域行为理解用户兴趣偏好，并输出该用户在各场景中的目标内容。 +下面给出用户历史行为线索： +用户在直播域: 关注了主播 <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>，首次打赏了 <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>，给主播 <|living_begin|>, <|living_begin|>, <|living_begin|> 打赏过，对主播 <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|> 有过关注/首次打赏行为。 +用户购物行为: 浏览了商品 <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>，购买了 <|prod_begin|>, <|prod_begin|>。 +用户视频行为: 深度观看了 <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>，对视频 <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|> 有过点赞/长播行为，对视频 <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|> 有过评论/长播行为，对视频 <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|> 有过收藏/长播行为，对视频 <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|> 有过关注/长播行为，对视频 <|video_begin|>, <|video_begin|>, <|video_begin|> 有过关注/点赞/长播行为，对视频 <|video_begin|>, <|video_begin|>, <|video_begin|>, <|video_begin|> 有过转发/长播行为，对视频 <|video_begin|> 有过评论/收藏/长播行为，看过视频 <|video_begin|>。 +广告行为: 对广告 <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|> 完成过深度转化，点击过广告 <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>。 + +请基于这些线索总结该用户在各场景中的目标内容。/think<|im_end|> +<|im_start|>assistant +该用户最近喜欢的视频有: <|video_begin|><|im_end|> +<|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|> +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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"bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": null, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.6.0", + "use_cache": true, + "use_sliding_window": false, + "vocab_size": 176253 +} + + +labels: +{"logic_chain": {"name": "从泛化养生到聚焦传统文化疗愈的兴趣演化", "events": [{"date": "2025-12-10", "action": "[商品-购买] <|prod_begin|>", "logic": "初始阶段：表现出对草本植物、高含量等概念的健康养生兴趣，但行为停留在物质补充层面。"}, {"date": "2025-12-13", "action": "[直播-关注/首次打赏] <|living_begin|>", "logic": "兴趣深化与转向：首次对“法道主题”、“修行演唱”等精神文化内容产生深度互动（打赏），标志着兴趣从纯粹的物质养生转向了精神与文化层面的疗愈探索。"}, {"date": "2025-12-27", "action": "[直播-关注/打赏] <|living_begin|>", "logic": "兴趣确认与聚焦：再次打赏明确指向“佛系养生”、“心灵滋养”、“观音文化”的直播，进一步收敛并确认了其在传统文化与精神慰藉方向上的核心诉求，完成了从身体到心灵的认知闭环。"}]}}<|im_end|> +["<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|living_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|ad_begin|>", "<|prod_begin|>", "<|video_begin|>", "<|prod_begin|>"]<|im_end|> +["<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|video_begin|>", "<|ad_begin|>", "<|video_begin|>", "<|ad_begin|>", "<|ad_begin|>"]<|im_end|> +{"logic_chain": {"name": "从娱乐消遣到寻求专业法律咨询的认知跃迁", "events": [{"date": "2025-12-22", "action": "[广告-深度转化] <|ad_begin|>", "logic": "问题域接触：通过观看大量关于“出轨”、“情感纠葛”、“家庭矛盾”等主题的短剧广告，被动地接触并沉浸在相关问题情境中。"}, {"date": "2026-01-06", "action": "[直播-首次打赏] <|living_begin|>", "logic": "认知跃迁与路径修正：用户的兴趣点从虚构的剧情消费，转向了现实中的专业解决方案。主动对提供“刑案咨询”和“实务讲解”的直播主进行打赏，表明其需求从娱乐消遣升级为获取专业法律知识，是典型的认知跃迁。"}]}}<|im_end|> +该用户最近喜欢的视频有: <|video_begin|><|im_end|> + +[INFO|2026-07-06 03:42:55] llamafactory.model.model_utils.kv_cache:144 >> KV cache is disabled during training. +[INFO|2026-07-06 03:42:55] llamafactory.model.model_utils.liger_kernel:144 >> Liger kernel has been applied to the model. +[INFO|modeling_utils.py:751] 2026-07-06 03:42:56,361 >> loading weights file model.safetensors from cache at /home/ll/.cache/huggingface/hub/models--OpenOneRec--OneReason-0.8B-pretrain-competition/snapshots/5a0a9ec5c601c268bb2300d99baa7a4ad526ab0c/model.safetensors +[INFO|modeling_utils.py:821] 2026-07-06 03:42:56,361 >> Will use dtype=torch.bfloat16 as defined in model's config object +[INFO|configuration_utils.py:1027] 2026-07-06 03:42:56,414 >> Generate config GenerationConfig { + "bos_token_id": 151643, + "eos_token_id": 151645, + "output_attentions": false, + "output_hidden_states": false, + "use_cache": false +} + + Loading weights: 0%| | 0/311 [00:00> loading configuration file generation_config.json from cache at /home/ll/.cache/huggingface/hub/models--OpenOneRec--OneReason-0.8B-pretrain-competition/snapshots/5a0a9ec5c601c268bb2300d99baa7a4ad526ab0c/generation_config.json +[INFO|configuration_utils.py:1027] 2026-07-06 03:42:57,487 >> Generate config GenerationConfig { + "bos_token_id": 151643, + "do_sample": true, + "eos_token_id": [ + 151645, + 151643 + ], + "pad_token_id": 151643, + "temperature": 0.6, + "top_k": 20, + "top_p": 0.95 +} + +[INFO|dynamic_module_utils.py:406] 2026-07-06 03:42:57,789 >> Could not locate the custom_generate/generate.py inside OpenOneRec/OneReason-0.8B-pretrain-competition. +[INFO|2026-07-06 03:42:57] llamafactory.model.model_utils.checkpointing:144 >> Gradient checkpointing enabled. +[INFO|2026-07-06 03:42:57] llamafactory.model.model_utils.attention:144 >> Using FlashAttention-2 for faster training and inference. +[INFO|2026-07-06 03:42:57] llamafactory.model.adapter:144 >> Pure bf16 / BAdam detected, remaining trainable params in half precision. +[INFO|2026-07-06 03:42:57] llamafactory.model.adapter:144 >> Fine-tuning method: Full +[INFO|2026-07-06 03:42:57] llamafactory.model.loader:144 >> trainable params: 801,433,600 || all params: 801,433,600 || trainable%: 100.0000 +[WARNING|trainer_utils.py:1238] 2026-07-06 03:42:57,830 >> The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}. +[INFO|trainer.py:1469] 2026-07-06 03:42:57,937 >> ***** Running training ***** +[INFO|trainer.py:1470] 2026-07-06 03:42:57,937 >> Num examples = 1,186 +[INFO|trainer.py:1471] 2026-07-06 03:42:57,937 >> Num Epochs = 1 +[INFO|trainer.py:1472] 2026-07-06 03:42:57,937 >> Num update steps per epoch = 297 +[INFO|trainer.py:1473] 2026-07-06 03:42:57,937 >> Instantaneous batch size per device = 1 +[INFO|trainer.py:1476] 2026-07-06 03:42:57,937 >> Total train batch size (w. parallel, distributed & accumulation) = 4 +[INFO|trainer.py:1477] 2026-07-06 03:42:57,937 >> Gradient Accumulation steps = 4 +[INFO|trainer.py:1478] 2026-07-06 03:42:57,937 >> Total optimization steps = 297 +[INFO|trainer.py:1479] 2026-07-06 03:42:57,937 >> Number of trainable parameters = 801,433,600 + 0%| | 0/297 [00:00> `use_return_dict` is deprecated! 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/home/ll/llm4rec/experiments/20260706_overnight/outputs/v07_final_only_lr2e5/checkpoint-297/config.json +[INFO|configuration_utils.py:816] 2026-07-06 04:22:01,214 >> Configuration saved in /home/ll/llm4rec/experiments/20260706_overnight/outputs/v07_final_only_lr2e5/checkpoint-297/generation_config.json +{'loss': '2.342', 'grad_norm': '38.5', 'learning_rate': '8.889e-06', 'epoch': '0.01686'} +{'loss': '1.706', 'grad_norm': '9.875', 'learning_rate': '2e-05', 'epoch': '0.03373'} +{'loss': '1.748', 'grad_norm': '9.875', 'learning_rate': '1.999e-05', 'epoch': '0.05059'} +{'loss': '1.568', 'grad_norm': '6.781', 'learning_rate': '1.994e-05', 'epoch': '0.06745'} +{'loss': '1.347', 'grad_norm': '8.375', 'learning_rate': '1.987e-05', 'epoch': '0.08432'} +{'loss': '1.207', 'grad_norm': '8.562', 'learning_rate': '1.976e-05', 'epoch': '0.1012'} +{'loss': '1.324', 'grad_norm': '5.812', 'learning_rate': '1.963e-05', 'epoch': '0.118'} +{'loss': '1.165', 'grad_norm': '5.906', 'learning_rate': '1.947e-05', 'epoch': '0.1349'} +{'loss': '1.226', 'grad_norm': '5.969', 'learning_rate': '1.928e-05', 'epoch': '0.1518'} +{'loss': '1.235', 'grad_norm': '9.438', 'learning_rate': '1.906e-05', 'epoch': '0.1686'} +{'loss': '1.396', 'grad_norm': '6.75', 'learning_rate': '1.882e-05', 'epoch': '0.1855'} +{'loss': '1.026', 'grad_norm': '6.562', 'learning_rate': '1.855e-05', 'epoch': '0.2024'} +{'loss': '1.228', 'grad_norm': '4.156', 'learning_rate': '1.825e-05', 'epoch': '0.2192'} +{'loss': '1.25', 'grad_norm': '7.219', 'learning_rate': '1.793e-05', 'epoch': '0.2361'} +{'loss': '1.233', 'grad_norm': '5.5', 'learning_rate': '1.759e-05', 'epoch': '0.253'} +{'loss': '1.247', 'grad_norm': '7.5', 'learning_rate': '1.722e-05', 'epoch': '0.2698'} +{'loss': '1.071', 'grad_norm': '6.844', 'learning_rate': '1.684e-05', 'epoch': '0.2867'} +{'loss': '1.606', 'grad_norm': '6.812', 'learning_rate': '1.643e-05', 'epoch': '0.3035'} +{'loss': '1.147', 'grad_norm': '6.75', 'learning_rate': '1.6e-05', 'epoch': '0.3204'} +{'loss': '1.256', 'grad_norm': '6.312', 'learning_rate': '1.556e-05', 'epoch': '0.3373'} +{'loss': '1.006', 'grad_norm': '6.094', 'learning_rate': '1.509e-05', 'epoch': '0.3541'} +{'loss': '1.448', 'grad_norm': '2.969', 'learning_rate': '1.462e-05', 'epoch': '0.371'} +{'loss': '1.159', 'grad_norm': '6.438', 'learning_rate': '1.413e-05', 'epoch': '0.3879'} +{'loss': '1.183', 'grad_norm': '7.656', 'learning_rate': '1.362e-05', 'epoch': '0.4047'} +{'loss': '1.413', 'grad_norm': '7.906', 'learning_rate': '1.311e-05', 'epoch': '0.4216'} +{'loss': '1.192', 'grad_norm': '6.312', 'learning_rate': '1.259e-05', 'epoch': '0.4384'} +{'loss': '1.05', 'grad_norm': '7.562', 'learning_rate': '1.206e-05', 'epoch': '0.4553'} +{'loss': '1.427', 'grad_norm': '6.438', 'learning_rate': '1.152e-05', 'epoch': '0.4722'} +{'loss': '1.136', 'grad_norm': '7.719', 'learning_rate': '1.098e-05', 'epoch': '0.489'} +{'loss': '1.225', 'grad_norm': '6.781', 'learning_rate': '1.044e-05', 'epoch': '0.5059'} +{'loss': '1.274', 'grad_norm': '8.5', 'learning_rate': '9.891e-06', 'epoch': '0.5228'} +{'loss': '1.271', 'grad_norm': '7.344', 'learning_rate': '9.346e-06', 'epoch': '0.5396'} +{'loss': '1.02', 'grad_norm': '5.156', 'learning_rate': '8.803e-06', 'epoch': '0.5565'} +{'loss': '0.983', 'grad_norm': '6.438', 'learning_rate': '8.264e-06', 'epoch': '0.5734'} +{'loss': '1.528', 'grad_norm': '6.938', 'learning_rate': '7.729e-06', 'epoch': '0.5902'} +{'loss': '1.028', 'grad_norm': '7', 'learning_rate': '7.202e-06', 'epoch': '0.6071'} +{'loss': '1.148', 'grad_norm': '3.703', 'learning_rate': '6.683e-06', 'epoch': '0.6239'} +{'loss': '1.017', 'grad_norm': '10.12', 'learning_rate': '6.173e-06', 'epoch': '0.6408'} +{'loss': '1.176', 'grad_norm': '8.062', 'learning_rate': '5.675e-06', 'epoch': '0.6577'} +{'loss': '1.288', 'grad_norm': '6.812', 'learning_rate': '5.19e-06', 'epoch': '0.6745'} +{'loss': '1.237', 'grad_norm': '7.375', 'learning_rate': '4.719e-06', 'epoch': '0.6914'} +{'loss': '1.243', 'grad_norm': '5.812', 'learning_rate': '4.264e-06', 'epoch': '0.7083'} +{'loss': '1.018', 'grad_norm': '5.562', 'learning_rate': '3.826e-06', 'epoch': '0.7251'} +{'loss': '1.411', 'grad_norm': '4.125', 'learning_rate': '3.407e-06', 'epoch': '0.742'} +{'loss': '1.296', 'grad_norm': '3.625', 'learning_rate': '3.006e-06', 'epoch': '0.7589'} +{'loss': '1.016', 'grad_norm': '6.562', 'learning_rate': '2.627e-06', 'epoch': '0.7757'} +{'loss': '1.223', 'grad_norm': '5.812', 'learning_rate': '2.27e-06', 'epoch': '0.7926'} +{'loss': '1.183', 'grad_norm': '5.062', 'learning_rate': '1.936e-06', 'epoch': '0.8094'} +{'loss': '1.023', 'grad_norm': '7.438', 'learning_rate': '1.625e-06', 'epoch': '0.8263'} +{'loss': '1.104', 'grad_norm': '5.219', 'learning_rate': '1.34e-06', 'epoch': '0.8432'} +{'loss': '0.9863', 'grad_norm': '5.031', 'learning_rate': '1.08e-06', 'epoch': '0.86'} +{'loss': '1.721', 'grad_norm': '3.734', 'learning_rate': '8.469e-07', 'epoch': '0.8769'} +{'loss': '1.09', 'grad_norm': '8.062', 'learning_rate': '6.409e-07', 'epoch': '0.8938'} +{'loss': '1.115', 'grad_norm': '5.812', 'learning_rate': '4.628e-07', 'epoch': '0.9106'} +{'loss': '1.186', 'grad_norm': '7.812', 'learning_rate': '3.131e-07', 'epoch': '0.9275'} +{'loss': '1.17', 'grad_norm': '6.844', 'learning_rate': '1.921e-07', 'epoch': '0.9444'} +{'loss': '1.041', 'grad_norm': '6.469', 'learning_rate': '1.004e-07', 'epoch': '0.9612'} +{'loss': '1.327', 'grad_norm': '7.406', 'learning_rate': '3.805e-08', 'epoch': '0.9781'} +{'loss': '1.308', 'grad_norm': '5.094', 'learning_rate': '5.354e-09', 'epoch': '0.9949'} + + Writing model shards: 0%| | 0/1 [00:00> Model weights saved in /home/ll/llm4rec/experiments/20260706_overnight/outputs/v07_final_only_lr2e5/checkpoint-297/model.safetensors +[INFO|tokenization_utils_base.py:3278] 2026-07-06 04:22:02,227 >> chat template saved in /home/ll/llm4rec/experiments/20260706_overnight/outputs/v07_final_only_lr2e5/checkpoint-297/chat_template.jinja +[INFO|tokenization_utils_base.py:2111] 2026-07-06 04:22:02,248 >> tokenizer config file saved in /home/ll/llm4rec/experiments/20260706_overnight/outputs/v07_final_only_lr2e5/checkpoint-297/tokenizer_config.json +[INFO|trainer.py:1823] 2026-07-06 04:22:04,197 >> + +Training completed. Do not forget to share your model on huggingface.co/models =) + + + 100%|██████████| 297/297 [39:06<00:00, 6.31s/it] 100%|██████████| 297/297 [39:06<00:00, 7.90s/it] +[INFO|trainer.py:3815] 2026-07-06 04:22:04,198 >> Saving model checkpoint to /home/ll/llm4rec/experiments/20260706_overnight/outputs/v07_final_only_lr2e5 +[INFO|configuration_utils.py:533] 2026-07-06 04:22:04,199 >> Configuration saved in /home/ll/llm4rec/experiments/20260706_overnight/outputs/v07_final_only_lr2e5/config.json +[INFO|configuration_utils.py:816] 2026-07-06 04:22:04,199 >> Configuration saved in /home/ll/llm4rec/experiments/20260706_overnight/outputs/v07_final_only_lr2e5/generation_config.json +{'train_runtime': '2346', 'train_samples_per_second': '0.505', 'train_steps_per_second': '0.127', 'train_loss': '1.255', 'epoch': '1'} + Writing model shards: 0%| | 0/1 [00:00> Model weights saved in /home/ll/llm4rec/experiments/20260706_overnight/outputs/v07_final_only_lr2e5/model.safetensors +[INFO|tokenization_utils_base.py:3278] 2026-07-06 04:22:05,180 >> chat template saved in /home/ll/llm4rec/experiments/20260706_overnight/outputs/v07_final_only_lr2e5/chat_template.jinja +[INFO|tokenization_utils_base.py:2111] 2026-07-06 04:22:05,202 >> tokenizer config file saved in /home/ll/llm4rec/experiments/20260706_overnight/outputs/v07_final_only_lr2e5/tokenizer_config.json +***** train metrics ***** + epoch = 1.0 + total_flos = 131905129GF + train_loss = 1.255 + train_runtime = 0:39:06.26 + train_samples_per_second = 0.505 + train_steps_per_second = 0.127 +Figure saved at: /home/ll/llm4rec/experiments/20260706_overnight/outputs/v07_final_only_lr2e5/training_loss.png +[WARNING|2026-07-06 04:22:05] llamafactory.extras.ploting:149 >> No metric eval_loss to plot. +[WARNING|2026-07-06 04:22:05] llamafactory.extras.ploting:149 >> No metric eval_accuracy to plot. +[INFO|modelcard.py:263] 2026-07-06 04:22:05,310 >> Dropping the following result as it does not have all the necessary 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