From bdb9ad739734910f28c11dc689a663e64e4962a7 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sat, 5 Sep 2026 21:46:18 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: lldois/v45_v29_clean_r3_domainmix_lr55e7_ep045 Source: Original Platform --- .gitattributes | 36 + README.md | 58 + all_results.json | 8 + chat_template.jinja | 89 + config.json | 63 + experiment_recipe.json | 114 + generation_config.json | 12 + model.safetensors | 3 + ...36608.ubuntu-System-Product-Name.1408306.0 | 3 + tokenizer.json | 3 + tokenizer_config.json | 16 + train.log | 2240 +++++++++++++++++ train_results.json | 8 + trainer_log.jsonl | 4 + trainer_state.json | 64 + training_args.bin | 3 + training_loss.png | Bin 0 -> 40668 bytes 17 files changed, 2724 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 all_results.json create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 experiment_recipe.json create mode 100644 generation_config.json create mode 100644 model.safetensors create mode 100644 runs/Jul16_01-30-08_ubuntu-System-Product-Name/events.out.tfevents.1784136608.ubuntu-System-Product-Name.1408306.0 create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json create mode 100644 train.log create mode 100644 train_results.json create mode 100644 trainer_log.jsonl create mode 100644 trainer_state.json create mode 100644 training_args.bin create mode 100644 training_loss.png 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 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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..9358d6b --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +library_name: transformers +license: other +base_model: lldois/v29_v19_user_world_guard_lr8e7_ep018 +tags: +- llama-factory +- full +- generated_from_trainer +model-index: +- name: v45_v29_clean_r3_domainmix_lr55e7_ep045 + results: [] +--- + + + +# v45_v29_clean_r3_domainmix_lr55e7_ep045 + +This model is a fine-tuned version of [lldois/v29_v19_user_world_guard_lr8e7_ep018](https://huggingface.co/lldois/v29_v19_user_world_guard_lr8e7_ep018) on the exp_v45_clean_r3_domainmix 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: 5.5e-07 +- train_batch_size: 1 +- eval_batch_size: 8 +- seed: 202607195 +- 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: 0.45 + +### 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..a6fe1b2 --- /dev/null +++ b/all_results.json @@ -0,0 +1,8 @@ +{ + "epoch": 0.45791245791245794, + "total_flos": 1.6323997048246272e+16, + "train_loss": 2.228161503286923, + "train_runtime": 271.7669, + "train_samples_per_second": 0.492, + "train_steps_per_second": 0.125 +} \ 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/experiment_recipe.json b/experiment_recipe.json new file mode 100644 index 0000000..4db6615 --- /dev/null +++ b/experiment_recipe.json @@ -0,0 +1,114 @@ +{ + "created_at": "2026-07-16 01:45:38", + "name": "v45_v29_clean_r3_domainmix_lr55e7_ep045", + "base": "/home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018", + "dataset": "v45_clean_r3_domainmix", + "dataset_manifest": { + "name": "v45_clean_r3_domainmix", + "path": "/home/ll/llm4rec/experiments/data/v45_clean_r3_domainmix.jsonl", + "records": 9550, + "bytes": 44408775, + "sha256": "4c3dca009ec1070a50416a29ad6162f7c2251a7df59c7ab52408c2f9cecdd484", + "requested_components": { + "r3_balanced_ad_direct": 700, + "r3_balanced_ad_think": 250, + "r3_balanced_live_direct": 550, + "r3_balanced_live_think": 700, + "r3_balanced_goods_direct": 300, + "r3_balanced_goods_think": 500, + "r3_balanced_video_direct": 550, + "r3_balanced_video_think": 550, + "old_rec_live_direct": 300, + "old_rec_live_think": 150, + "old_rec_ad_direct": 300, + "old_rec_ad_think": 150, + "old_rec_goods_direct": 300, + "old_rec_goods_think": 150, + "old_rec_video_direct": 300, + "old_rec_video_think": 150, + "old_user_array_direct": 400, + "old_user_logic_direct": 400, + "old_user_logic_think": 150, + "old_item_goods_direct": 300, + "old_item_goods_think": 75, + "old_item_live_direct": 300, + "old_item_live_think": 75, + "old_item_ad_direct": 300, + "old_item_ad_think": 75, + "old_item_video_direct": 300, + "old_item_video_think": 75, + "general_cn_direct": 500, + "general_cn_think": 250, + "general_other_direct": 300, + "general_other_think": 150 + }, + "groups": { + "old_rec_clean": 1800, + "general_clean": 1200, + "r3_clean": 4100, + "old_item_clean": 1500, + "old_user_clean": 950 + }, + "variants": { + "old_rec_live_direct": 300, + "strict_single_turn_cot": 400, + "strict_video_cot": 550, + "strict_single_turn_direct": 800, + "strict_goods_cot": 500, + "strict_live_cot": 700, + "old_item_goods_direct": 300, + "old_user_array_direct": 400, + "old_user_logic_direct": 400, + "old_rec_goods_direct": 300, + "old_rec_ad_cot": 150, + "strict_video_direct": 550, + "old_item_video_direct": 300, + "strict_goods_direct": 300, + "old_user_logic_cot": 150, + "old_item_ad_direct": 300, + "old_rec_video_direct": 300, + "old_item_live_direct": 300, + "strict_ad_direct": 700, + "strict_ad_cot": 250, + "strict_live_direct": 550, + "old_rec_live_cot": 150, + "old_item_goods_cot": 75, + "old_rec_ad_direct": 300, + "old_rec_video_cot": 150, + "old_item_live_cot": 75, + "old_item_video_cot": 75, + "old_rec_goods_cot": 150, + "old_item_ad_cot": 75 + }, + "routes": { + "no_think": 6100, + "think": 3450 + }, + "domains": { + "live": 2075, + "video": 1925, + "goods": 1625, + "ad": 1775 + }, + "canonical_duplicates": 0, + "output_chars_p50": 98, + "output_chars_p90": 902, + "seed": 202607252 + }, + "learning_rate": "5.5e-7", + "epochs": 0.45, + "stages": null, + "note": "Strict balanced R3 with paper-motivated domain ratios: ad direct-heavy, product CoT-heavy, live moderately CoT-rich, and video balanced.", + "cot_policy": "Preserve meaningful CoT for /think and pure final outputs for /no_think.", + "checkpoint_policy": "save_strategy=no; only the final model is retained.", + "script": "/home/ll/llm4rec/experiments/run_experiments.py", + "script_sha256": "78d5f1619c271f19b4204ff4fa210ff4bbbadd81cdc0221e5f40cee201fc9877", + "data_builder": "/home/ll/llm4rec/experiments/source_data.py", + "data_builder_sha256": 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sha256:cd4d15f596979aecbc11ba12668cb21c9fb8452ce1235cd9d7878cc950170421 +size 16016554 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..35d445f --- /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": true, + "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..d490cfd --- /dev/null +++ b/train.log @@ -0,0 +1,2240 @@ +[2026-07-16 01:29:43] stage 1/1: /home/ll/llm4rec/experiments/configs/v45_v29_clean_r3_domainmix_lr55e7_ep045.yaml +/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|2026-07-16 01:29:46] llamafactory.hparams.parser:523 >> Process rank: 0, world size: 1, device: cuda:0, distributed training: False, compute dtype: torch.bfloat16 +[INFO|configuration_utils.py:769] 2026-07-16 01:29:46,355 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-16 01:29:46,358 >> Model config Qwen3Config { + "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 +} + +[INFO|configuration_utils.py:769] 2026-07-16 01:29:47,058 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-16 01:29:47,058 >> Model config Qwen3Config { + "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 +} + +[INFO|configuration_utils.py:769] 2026-07-16 01:29:47,058 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-16 01:29:47,059 >> Model config Qwen3Config { + "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 +} + +[INFO|2026-07-16 01:29:47] llamafactory.data.loader:144 >> Loading dataset /home/ll/llm4rec/experiments/data/v45_clean_r3_domainmix.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: 9550 examples [00:00, 142896.50 examples/s] + Converting format of dataset (num_proc=16): 0%| | 0/9550 [00:00user +【用户交互历史】： +【2023-01-30】 + --:-- [商品-购买] <|prod_begin|> +【2023-03-15】 + --:-- [商品-购买] <|prod_begin|> +【2023-04-07】 + --:-- [商品-购买] <|prod_begin|> +【2023-05-18】 + --:-- [商品-购买] <|prod_begin|> +【2023-08-13】 + --:-- [商品-购买] <|prod_begin|> +【2023-08-15】 + --:-- [商品-购买] <|prod_begin|> +【2023-09-24】 + --:-- [商品-购买] <|prod_begin|> +【2023-09-25】 + --:-- [商品-购买] <|prod_begin|> +【2023-10-12】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2023-11-08】 + --:-- [商品-购买] <|prod_begin|> +【2023-11-12】 + --:-- [商品-购买] <|prod_begin|> +【2023-11-20】 + --:-- [商品-购买] <|prod_begin|> +【2023-12-09】 + --:-- [商品-购买] <|prod_begin|> +【2023-12-11】 + --:-- [商品-购买] <|prod_begin|> +【2024-01-16】 + --:-- [商品-购买] <|prod_begin|> +【2024-03-22】 + --:-- [商品-购买] <|prod_begin|> +【2024-04-02】 + --:-- [商品-购买] <|prod_begin|> +【2024-04-09】 + --:-- [商品-购买] <|prod_begin|> +【2024-07-25】 + --:-- [商品-购买] <|prod_begin|> +【2024-09-12】 + --:-- [商品-购买] <|prod_begin|> +【2024-09-19】 + --:-- [商品-购买] <|prod_begin|> +【2024-09-26】 + --:-- [商品-购买] <|prod_begin|> +【2024-10-28】 + --:-- [商品-购买] <|prod_begin|> +【2024-11-11】 + --:-- [商品-购买] <|prod_begin|> +【2024-12-14】 + --:-- [商品-购买] <|prod_begin|> +【2024-12-24】 + --:-- [商品-购买] <|prod_begin|> +【2025-01-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-03-29】 + --:-- [商品-购买] <|prod_begin|> +【2025-04-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-28】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-03】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-07-12】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-15】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-08-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-04】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-20】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-25】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-11-14】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-02】 + --:-- [直播-关注] <|living_begin|> +【2025-12-03】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-04】 + --:-- [直播-关注] <|living_begin|> +【2025-12-06】 + --:-- [直播-关注] <|living_begin|> +【2025-12-07】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-10】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-11】 + --:-- [直播-关注] <|living_begin|> + 05:02 [广告-深度转化] <|ad_begin|> +【2025-12-12】 + --:-- [直播-关注] <|living_begin|> + 07:12 [广告-深度转化] <|ad_begin|> +【2025-12-13】 + 06:43 [广告-深度转化] <|ad_begin|> +【2025-12-14】 + 09:43 [广告-深度转化] <|ad_begin|> +【2025-12-15】 + --:-- [直播-关注] <|living_begin|> + 07:26 [广告-深度转化] <|ad_begin|> + 12:21 [广告-深度转化] <|ad_begin|> +【2025-12-16】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-17】 + --:-- [直播-关注] <|living_begin|> + --:-- [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|> +【2025-12-18】 + --:-- [直播-首次打赏] <|living_begin|> + 04:24 [广告-深度转化] <|ad_begin|> + 20:44 [广告-深度转化] <|ad_begin|> + 20:44 [广告-点击] <|ad_begin|> +【2025-12-19】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + 02:03 [广告-点击] <|ad_begin|> + 23:54 [广告-深度转化] <|ad_begin|> + 23:54 [广告-点击] <|ad_begin|> +【2025-12-20】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 00:37 [广告-点击] <|ad_begin|> + 02:12 [广告-点击] <|ad_begin|> + 10:02 [广告-深度转化] <|ad_begin|> + 10:02 [广告-点击] <|ad_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-21】 + --:-- [直播-关注] <|living_begin|> + 00:22 [广告-深度转化] <|ad_begin|> + 00:22 [广告-点击] <|ad_begin|> + 11:38 [广告-深度转化] <|ad_begin|> + 11:38 [广告-点击] <|ad_begin|> +【2025-12-22】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 05:55 [广告-点击] <|ad_begin|> +【2025-12-23】 + 10:22 [广告-点击] <|ad_begin|> + 11:14 [广告-点击] <|ad_begin|> +【2025-12-25】 + 11:04 [广告-点击] <|ad_begin|> +【2025-12-26】 + 00:13 [广告-点击] <|ad_begin|> +【2025-12-27】 + --:-- [直播-关注] <|living_begin|> +【2025-12-28】 + 14:58 [广告-深度转化] <|ad_begin|> + 14:58 [广告-点击] <|ad_begin|> + 16:16 [广告-深度转化] <|ad_begin|> + 16:16 [广告-点击] <|ad_begin|> + 16:21 [广告-点击] <|ad_begin|> +【2025-12-29】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-30】 + 00:03 [广告-点击] <|ad_begin|> + 04:15 [广告-深度转化] <|ad_begin|> + 04:15 [广告-点击] <|ad_begin|> + 08:47 [广告-深度转化] <|ad_begin|> + 08:47 [广告-点击] <|ad_begin|> + 11:58 [广告-深度转化] <|ad_begin|> + 11:58 [广告-点击] <|ad_begin|> + 13:46 [广告-深度转化] <|ad_begin|> + 13:46 [广告-点击] <|ad_begin|> + 13:53 [广告-点击] <|ad_begin|> + 17:52 [广告-点击] <|ad_begin|> +【2025-12-31】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> +【2026-01-01】 + 11:20 [广告-深度转化] <|ad_begin|> + 11:20 [广告-点击] <|ad_begin|> +【2026-01-02】 + 01:13 [广告-深度转化] <|ad_begin|> + 01:13 [广告-点击] <|ad_begin|> + 10:29 [广告-深度转化] <|ad_begin|> + 10:29 [广告-点击] <|ad_begin|> +【2026-01-03】 + --:-- [直播-关注/首次打赏] <|living_begin|> + 11:18 [广告-点击] <|ad_begin|> +【2026-01-05】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2026-01-07】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-08】 + 03:13 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-10】 + 22:05 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-11】 + --:-- [直播-关注] <|living_begin|> + 09:56 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-13】 + 02:14 [广告-深度转化] <|ad_begin|> + 02:14 [广告-点击] <|ad_begin|> + 10:08 [广告-深度转化] <|ad_begin|> + 10:08 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-14】 + --:-- [直播-关注] <|living_begin|> + 10:02 [广告-点击] <|ad_begin|> + 13:36 [广告-深度转化] <|ad_begin|> + 13:36 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-15】 + 10:44 [广告-深度转化] <|ad_begin|> + 10:44 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-16】 + 16:07 [广告-深度转化] <|ad_begin|> + 16:07 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-17】 + 00:39 [广告-点击] <|ad_begin|> + 07:23 [广告-点击] <|ad_begin|> + 07:33 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-18】 + --:-- [直播-关注] <|living_begin|> + 04:02 [广告-深度转化] <|ad_begin|> + 04:02 [广告-点击] <|ad_begin|> +【2026-01-19】 + --:-- [直播-关注] <|living_begin|> + 14:43 [广告-深度转化] <|ad_begin|> + 14:43 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-20】 + 03:49 [广告-点击] <|ad_begin|> + 03:54 [广告-深度转化] <|ad_begin|> + 03:54 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-21】 + 16:11 [视频-转发/长播] <|video_begin|> + 16:13 [视频-转发/长播] <|video_begin|> + 16:34 [视频-点赞/长播] <|video_begin|> + 22:01 [视频-点赞/长播] <|video_begin|> + 22:01 [视频-收藏/长播] <|video_begin|> + 22:07 [视频-点赞/长播] <|video_begin|> + 22:41 [视频-收藏/长播] <|video_begin|> + 22:43 [视频-收藏/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-22】 + 03:22 [广告-点击] <|ad_begin|> + 13:48 [视频-收藏/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-23】 + --:-- [直播-关注] <|living_begin|> + 03:15 [视频-转发/长播] <|video_begin|> + 04:26 [视频-关注/点赞/长播] <|video_begin|> + 05:02 [视频-点赞/长播] <|video_begin|> + 05:13 [视频-浏览] <|video_begin|> + 05:51 [视频-点赞/长播] <|video_begin|> + 08:18 [广告-深度转化] <|ad_begin|> + 08:18 [广告-点击] <|ad_begin|> + 09:03 [广告-点击] <|ad_begin|> + 12:35 [广告-点击] <|ad_begin|> + 13:23 [视频-收藏/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-24】 + 10:32 [视频-收藏/长播] <|video_begin|> + 11:01 [视频-收藏/长播] <|video_begin|> + 11:21 [广告-深度转化] <|ad_begin|> + 11:21 [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|> +【2026-01-25】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 10:29 [视频-点赞/长播] <|video_begin|> + 10:56 [视频-收藏/长播] <|video_begin|> + 12:35 [视频-收藏/长播] <|video_begin|> + 14:53 [广告-点击] <|ad_begin|> + 15:16 [视频-关注/长播] <|video_begin|> + 15:25 [视频-点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-26】 + 01:35 [视频-点赞/长播] <|video_begin|> + 02:07 [广告-点击] <|ad_begin|> + 06:46 [视频-收藏/长播] <|video_begin|> + 06:48 [视频-转发/长播] <|video_begin|> + 06:55 [广告-点击] <|ad_begin|> + 07:15 [视频-收藏/长播] <|video_begin|> + 07:18 [视频-收藏/长播] <|video_begin|> + 07:28 [视频-转发/长播] <|video_begin|> + 07:34 [视频-转发/长播] <|video_begin|> + 08:14 [视频-点赞/长播] <|video_begin|> + 08:14 [视频-点赞/长播] <|video_begin|> + 08:18 [视频-点赞/长播] <|video_begin|> + 13:39 [视频-收藏/长播] <|video_begin|> + 13:46 [视频-点赞/长播] <|video_begin|> + 16:51 [视频-点赞/长播] <|video_begin|> + 17:02 [视频-收藏/长播] <|video_begin|> + 21:51 [视频-点赞/长播] <|video_begin|> + 21:51 [视频-点赞/长播] <|video_begin|> + 22:18 [视频-收藏/长播] <|video_begin|> + 22:18 [视频-关注/点赞/长播] <|video_begin|> + 22:21 [视频-关注/长播] <|video_begin|> + 22:25 [视频-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|> +【2026-01-27】 + --:-- [直播-关注] <|living_begin|> + 01:44 [视频-点赞/长播] <|video_begin|> + 01:46 [视频-点赞/长播] <|video_begin|> + 01:49 [视频-收藏/长播] <|video_begin|> + 04:09 [广告-深度转化] <|ad_begin|> + 04:09 [广告-点击] <|ad_begin|> + 10:11 [视频-收藏/长播] <|video_begin|> + 10:32 [广告-深度转化] <|ad_begin|> + 10:32 [广告-点击] <|ad_begin|> + 11:46 [广告-点击] <|ad_begin|> + 13:48 [广告-点击] <|ad_begin|> + 23:52 [广告-点击] <|ad_begin|> +【2026-01-28】 + 00:54 [视频-收藏/长播] <|video_begin|> + 03:42 [视频-收藏/长播] <|video_begin|> + 04:05 [视频-收藏/长播] <|video_begin|> + 04:11 [视频-收藏/长播] <|video_begin|> + 05:08 [视频-收藏/长播] <|video_begin|> + 09:57 [广告-点击] <|ad_begin|> + 12:52 [广告-点击] <|ad_begin|> + 13:41 [广告-深度转化] <|ad_begin|> + 13:41 [广告-点击] <|ad_begin|> + 14:40 [视频-关注/点赞/长播] <|video_begin|> + 22:56 [视频-点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-29】 + --:-- [直播-关注] <|living_begin|> + 00:12 [视频-收藏/长播] <|video_begin|> + 01:24 [视频-收藏/长播] <|video_begin|> + 01:25 [视频-收藏/长播] <|video_begin|> + 03:15 [视频-浏览] <|video_begin|> + 03:44 [视频-点赞/长播] <|video_begin|> + 07:07 [广告-点击] <|ad_begin|> + 21:58 [视频-点赞/长播] <|video_begin|> + 21:58 [视频-关注/点赞/长播] <|video_begin|> + 21:59 [视频-点赞/长播] <|video_begin|> + 22:39 [视频-点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-30】 + --:-- [直播-关注] <|living_begin|> + 00:38 [视频-收藏/长播] <|video_begin|> + 00:41 [视频-点赞/长播] <|video_begin|> + 01:12 [视频-收藏/长播] <|video_begin|> + 01:39 [视频-浏览] <|video_begin|> + 02:17 [视频-收藏/长播] <|video_begin|> + 04:21 [视频-收藏/长播] <|video_begin|> + 04:53 [视频-收藏/长播] <|video_begin|> + 06:18 [视频-转发/长播] <|video_begin|> + 08:05 [视频-收藏/长播] <|video_begin|> + 15:19 [广告-点击] <|ad_begin|> + 21:36 [视频-关注/长播] <|video_begin|> + 23:35 [视频-关注/收藏/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|> +【2026-01-31】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + 01:23 [视频-点赞/长播] <|video_begin|> + 01:23 [视频-关注/收藏/长播] <|video_begin|> + 01:32 [视频-收藏/长播] <|video_begin|> + 10:09 [视频-点赞/长播] <|video_begin|> + 16:39 [视频-点赞/长播] <|video_begin|> + 16:39 [视频-收藏/长播] <|video_begin|> + 16:39 [视频-收藏/长播] <|video_begin|> + 16:43 [视频-点赞/长播] <|video_begin|> + 16:47 [视频-点赞/长播] <|video_begin|> + 16:53 [广告-点击] <|ad_begin|> + 18:32 [视频-收藏/长播] <|video_begin|> + 18:33 [视频-点赞/长播] <|video_begin|> + 18:33 [视频-收藏/长播] <|video_begin|> + 18:34 [视频-收藏/长播] <|video_begin|> +【2026-02-01】 + 07:04 [视频-关注/长播] <|video_begin|> + 07:12 [视频-点赞/长播] <|video_begin|> + 07:12 [视频-点赞/长播] <|video_begin|> + 12:19 [视频-点赞/长播] <|video_begin|> + 12:19 [视频-点赞/长播] <|video_begin|> + 14:50 [视频-点赞/长播] <|video_begin|> + 15:03 [视频-转发/收藏/点赞/长播] <|video_begin|> + 15:31 [视频-收藏/长播] <|video_begin|> + 16:17 [视频-收藏/长播] <|video_begin|> +【2026-02-02】 + 00:30 [视频-收藏/长播] <|video_begin|> + 00:37 [广告-点击] <|ad_begin|> + 07:22 [视频-关注/长播] <|video_begin|> + 07:36 [广告-深度转化] <|ad_begin|> + 07:36 [广告-点击] <|ad_begin|> + 11:06 [视频-点赞/长播] <|video_begin|> + 18:13 [视频-点赞/长播] <|video_begin|> + 18:16 [视频-转发/长播] <|video_begin|> + 23:36 [视频-评论/长播] <|video_begin|> +【2026-02-03】 + 02:35 [视频-收藏/长播] <|video_begin|> + 06:00 [视频-点赞/长播] <|video_begin|> + 09:49 [视频-收藏/长播] <|video_begin|> + 10:03 [视频-收藏/长播] <|video_begin|> + 10:30 [视频-点赞/长播] <|video_begin|> + 10:30 [视频-点赞/长播] <|video_begin|> + 15:42 [视频-长播] <|video_begin|> + 15:42 [视频-长播] <|video_begin|> + 16:19 [广告-深度转化] <|ad_begin|> + 16:19 [广告-点击] <|ad_begin|> + 20:39 [视频-长播] <|video_begin|> + 20:39 [视频-长播] <|video_begin|> + 20:39 [视频-长播] <|video_begin|> + 20:39 [视频-长播] <|video_begin|> + 20:43 [视频-转发/长播] <|video_begin|> + 20:44 [视频-长播] <|video_begin|> + 20:45 [视频-长播] <|video_begin|> + 20:45 [视频-长播] <|video_begin|> + 20:45 [视频-长播] <|video_begin|> + 20:45 [视频-点赞/长播] <|video_begin|> + 20:50 [视频-长播] <|video_begin|> + 20:50 [视频-长播] <|video_begin|> + 20:50 [视频-点赞/长播] <|video_begin|> + 20:52 [视频-长播] <|video_begin|> + 20:52 [视频-长播] <|video_begin|> + 20:52 [视频-长播] <|video_begin|> + 20:56 [视频-长播] <|video_begin|> + 20:56 [视频-长播] <|video_begin|> + 20:56 [视频-点赞/长播] <|video_begin|> + 20:59 [视频-长播] <|video_begin|> + 22:14 [视频-长播] <|video_begin|> + 22:32 [视频-长播] <|video_begin|> + 22:35 [视频-收藏/长播] <|video_begin|> + 22:36 [视频-长播] <|video_begin|> + 22:36 [视频-点赞/长播] <|video_begin|> + 23:16 [视频-长播] <|video_begin|> + 23:16 [视频-长播] <|video_begin|> + 23:16 [视频-长播] <|video_begin|> + 23:29 [视频-长播] <|video_begin|> +【2026-02-04】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 12:22 [视频-长播] <|video_begin|> + 14:21 [广告-点击] <|ad_begin|> + 15:00 [视频-浏览] <|video_begin|> + 15:28 [广告-深度转化] <|ad_begin|> + 15:28 [广告-点击] <|ad_begin|> + 16:14 [视频-点赞/长播] <|video_begin|> +【2026-02-05】 + 00:04 [视频-长播] <|video_begin|> + 00:04 [视频-收藏/长播] <|video_begin|> + 00:04 [视频-关注/点赞/长播] <|video_begin|> + 00:06 [视频-长播] <|video_begin|> + 00:06 [视频-长播] <|video_begin|> + 00:06 [视频-收藏/长播] <|video_begin|> + 00:10 [视频-长播] <|video_begin|> + 00:10 [视频-长播] <|video_begin|> + 00:36 [广告-深度转化] <|ad_begin|> + 00:36 [广告-点击] <|ad_begin|> + 03:14 [视频-点赞/长播] <|video_begin|> + 04:01 [视频-长播] <|video_begin|> + 04:01 [视频-长播] <|video_begin|> + 04:01 [视频-长播] <|video_begin|> + 04:01 [视频-长播] <|video_begin|> + 04:06 [视频-长播] <|video_begin|> + 04:55 [视频-长播] <|video_begin|> + 04:55 [视频-长播] <|video_begin|> + 04:55 [视频-长播] <|video_begin|> + 05:02 [广告-点击] <|ad_begin|> + 05:30 [视频-长播] <|video_begin|> + 07:08 [视频-长播] <|video_begin|> + 07:08 [视频-点赞/长播] <|video_begin|> + 08:31 [视频-长播] <|video_begin|> + 08:31 [视频-长播] <|video_begin|> + 08:31 [视频-长播] <|video_begin|> + 08:31 [视频-长播] <|video_begin|> + 08:56 [广告-深度转化] <|ad_begin|> + 08:56 [广告-点击] <|ad_begin|> + 14:45 [视频-长播] <|video_begin|> + 14:45 [视频-长播] <|video_begin|> + 14:45 [视频-长播] <|video_begin|> + 14:50 [视频-长播] <|video_begin|> + 14:50 [视频-长播] <|video_begin|> +角色任务：你作为极端严苛的用户行为数据挖掘专家和数据格式化专家，需要根据以上用户交互历史，围绕给定主题抽取存在行为递进逻辑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）： 搜索-搜索、视频-浏览、视频-长播、直播-关注、直播-首次打赏、商品-点击、商品-购买、广告-点击、广告-深度转化 +核心逻辑要求（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 相对于交互 A，必须在同一生活场景与主题类目下形成强需求补完关系。 +2.兴趣因果递进：交互 B 需要体现为交互 A 之后衍生出的副作用需求或新需求，或者 A 是促使 B 出现的诱因。 +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。 +请围绕以下主题提取行为逻辑链： +主题：从被动接收到主动探索：汽车后市场消费决策演化 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "从被动接收到主动探索：汽车后市场消费决策演化", + "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" + } + ] + } +} + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +{"logic_chain":{"name":"从被动接收到主动探索：汽车后市场消费决策演化","events":[{"date":"2026-01-21","action":"[视频-收藏/长播] <|video_begin|>","logic":"初始触发：通过收藏汽车实用技巧视频，表现出对提升驾驶体验和安全性的初步兴趣。"},{"date":"2026-01-30","action":"[视频-收藏/长播] <|video_begin|>","logic":"兴趣聚焦：从泛化的汽车知识，收敛到对“行车记录仪”这一具体安防设备的功能性认知，并收藏了介绍视频。"},{"date":"2026-01-30","action":"[商品-点击] <|prod_begin|>","logic":"决策深化与参数对比（维度一）：主动点击具体商品，关注点明确为“4K高清”、“前后双录”、“手机互联”，开始进入产品选型和参数对比阶段。"},{"date":"2026-01-30","action":"[商品-点击] <|prod_begin|>","logic":"认知增量与需求升级（维度二）：在“4K高清”基础上，增加了“三镜头”、“车内录像”、“倒车影像”等新功能维度，体现了对产品功能覆盖面更全面的考量，完成了从“前后双录”到“三镜头全景”的认知跃迁。"}]}}<|im_end|> +<|im_start|>user +【用户交互历史】： +【2025-03-29】 + --:-- [直播-关注] <|living_begin|> +【2025-08-23】 + --:-- [直播-关注] <|living_begin|> +【2025-12-04】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-07】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-09】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-12】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-14】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-15】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-27】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-28】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-06】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-07】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-08】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-10】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-11】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-15】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-16】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-17】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-18】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-19】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-21】 + --:-- [商品-购买] <|prod_begin|> + 22:04 [视频-收藏/长播] <|video_begin|> + 22:33 [视频-收藏/长播] <|video_begin|> + 22:49 [视频-收藏/长播] <|video_begin|> +【2026-01-22】 + 02:14 [视频-收藏/长播] <|video_begin|> + 22:15 [视频-收藏/长播] <|video_begin|> + 22:49 [视频-收藏/长播] <|video_begin|> + 22:53 [视频-收藏/长播] <|video_begin|> +【2026-01-23】 + --:-- [商品-购买] <|prod_begin|> + 22:28 [视频-收藏/点赞/长播] <|video_begin|> + 23:02 [视频-收藏/长播] <|video_begin|> +【2026-01-24】 + 08:28 [视频-收藏/点赞/长播] <|video_begin|> + 21:41 [视频-收藏/长播] <|video_begin|> + 22:24 [视频-收藏/长播] <|video_begin|> + 22:33 [视频-收藏/长播] <|video_begin|> +【2026-01-25】 + --:-- [商品-购买] <|prod_begin|> + 07:40 [视频-浏览] <|video_begin|> + 22:09 [视频-收藏/长播] <|video_begin|> +【2026-01-26】 + 08:35 [广告-深度转化] <|ad_begin|> + 08:35 [广告-深度转化] <|ad_begin|> + 08:38 [广告-深度转化] <|ad_begin|> + 08:41 [广告-深度转化] <|ad_begin|> + 08:46 [广告-深度转化] <|ad_begin|> + 11:31 [视频-浏览] <|video_begin|> + 21:12 [视频-收藏/长播] <|video_begin|> + 22:50 [视频-收藏/长播] <|video_begin|> + 23:12 [广告-深度转化] <|ad_begin|> +【2026-01-27】 + 02:08 [广告-深度转化] <|ad_begin|> + 09:27 [视频-点赞/长播] <|video_begin|> + 10:21 [视频-点赞/长播] <|video_begin|> + 21:34 [视频-点赞/长播] <|video_begin|> + 22:20 [视频-收藏/长播] <|video_begin|> +【2026-01-28】 + 00:49 [广告-深度转化] <|ad_begin|> + 01:21 [视频-点赞/长播] <|video_begin|> + --:-- [商品-购买] <|prod_begin|> + 01:47 [视频-收藏/长播] <|video_begin|> + 22:44 [视频-收藏/长播] <|video_begin|> +【2026-01-29】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 01:40 [广告-深度转化] <|ad_begin|> + 01:42 [广告-深度转化] <|ad_begin|> + 01:44 [广告-深度转化] <|ad_begin|> + 03:12 [广告-深度转化] <|ad_begin|> + 13:35 [广告-深度转化] <|ad_begin|> + 22:44 [视频-收藏/长播] <|video_begin|> + 22:56 [视频-评论/长播] <|video_begin|> +【2026-01-30】 + 00:16 [视频-收藏/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-购买] <|prod_begin|> + 02:00 [广告-深度转化] <|ad_begin|> + 03:14 [广告-深度转化] <|ad_begin|> + 22:43 [视频-点赞/长播] <|video_begin|> +【2026-01-31】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 02:19 [广告-深度转化] <|ad_begin|> + 08:44 [广告-深度转化] <|ad_begin|> + 09:22 [视频-收藏/长播] <|video_begin|> + 21:52 [视频-收藏/长播] <|video_begin|> + 22:58 [广告-深度转化] <|ad_begin|> + 23:00 [广告-深度转化] <|ad_begin|> +【2026-02-01】 + 01:09 [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|> + --:-- [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|> + 08:45 [广告-深度转化] <|ad_begin|> + 12:20 [广告-深度转化] <|ad_begin|> + 12:20 [广告-点击] <|ad_begin|> + 13:26 [广告-深度转化] <|ad_begin|> + 13:26 [广告-点击] <|ad_begin|> + 21:00 [广告-深度转化] <|ad_begin|> + 21:00 [广告-点击] <|ad_begin|> + 22:36 [视频-收藏/长播] <|video_begin|> + 23:04 [广告-点击] <|ad_begin|> + 23:07 [广告-深度转化] <|ad_begin|> + 23:07 [广告-点击] <|ad_begin|> +【2026-02-02】 + --:-- [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|> + 12:52 [视频-浏览] <|video_begin|> + 23:04 [视频-收藏/长播] <|video_begin|> +【2026-02-03】 + 01:01 [广告-深度转化] <|ad_begin|> + 01:01 [广告-点击] <|ad_begin|> + 01:02 [广告-点击] <|ad_begin|> + 01:04 [广告-深度转化] <|ad_begin|> + 01:04 [广告-点击] <|ad_begin|> + 01:06 [广告-深度转化] <|ad_begin|> + 01:06 [广告-点击] <|ad_begin|> + 01:19 [广告-点击] <|ad_begin|> + 01:20 [广告-深度转化] <|ad_begin|> + 01:20 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 03:50 [广告-深度转化] <|ad_begin|> + 03:50 [广告-点击] <|ad_begin|> + 09:49 [广告-深度转化] <|ad_begin|> + 09:49 [广告-点击] <|ad_begin|> + 09:50 [广告-点击] <|ad_begin|> + 09:50 [广告-点击] <|ad_begin|> + 12:46 [广告-深度转化] <|ad_begin|> + 12:46 [广告-点击] <|ad_begin|> + 22:03 [广告-深度转化] <|ad_begin|> + 22:03 [广告-点击] <|ad_begin|> + 22:04 [广告-深度转化] <|ad_begin|> + 22:04 [广告-点击] <|ad_begin|> + 22:05 [广告-深度转化] <|ad_begin|> + 22:05 [广告-点击] <|ad_begin|> + 22:20 [视频-收藏/长播] <|video_begin|> + 22:31 [视频-收藏/长播] <|video_begin|> + 22:34 [视频-收藏/长播] <|video_begin|> + 22:39 [视频-收藏/长播] <|video_begin|> + 23:33 [广告-点击] <|ad_begin|> + 23:36 [广告-深度转化] <|ad_begin|> + 23:36 [广告-点击] <|ad_begin|> +【2026-02-04】 + 01:04 [广告-点击] <|ad_begin|> + 01:05 [广告-深度转化] <|ad_begin|> + 01:05 [广告-点击] <|ad_begin|> + 01:07 [广告-点击] <|ad_begin|> + 01:08 [广告-深度转化] <|ad_begin|> + 01:08 [广告-点击] <|ad_begin|> + 01:09 [广告-深度转化] <|ad_begin|> + 01:09 [广告-点击] <|ad_begin|> + 01:10 [广告-点击] <|ad_begin|> + 01:11 [广告-深度转化] <|ad_begin|> + 01:11 [广告-点击] <|ad_begin|> + 01:15 [广告-点击] <|ad_begin|> + 01:18 [广告-深度转化] <|ad_begin|> + 01:18 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 09:19 [广告-点击] <|ad_begin|> + 09:36 [广告-点击] <|ad_begin|> + 09:36 [广告-深度转化] <|ad_begin|> + 09:36 [广告-点击] <|ad_begin|> + 09:40 [广告-深度转化] <|ad_begin|> + 09:40 [广告-点击] <|ad_begin|> + 11:16 [广告-点击] <|ad_begin|> + 12:47 [广告-点击] <|ad_begin|> + 12:50 [广告-深度转化] <|ad_begin|> + 12:50 [广告-点击] <|ad_begin|> + 12:51 [广告-深度转化] <|ad_begin|> + 12:51 [广告-点击] <|ad_begin|> + 12:52 [广告-深度转化] <|ad_begin|> + 12:52 [广告-点击] <|ad_begin|> + 12:56 [广告-深度转化] <|ad_begin|> + 12:56 [广告-点击] <|ad_begin|> + 12:57 [广告-深度转化] <|ad_begin|> + 12:57 [广告-点击] <|ad_begin|> + 13:10 [广告-点击] <|ad_begin|> + 13:11 [广告-点击] <|ad_begin|> + 21:51 [视频-长播] <|video_begin|> + 21:59 [视频-长播] <|video_begin|> + 21:59 [视频-长播] <|video_begin|> + 22:05 [视频-长播] <|video_begin|> + 22:05 [视频-长播] <|video_begin|> + 22:05 [视频-长播] <|video_begin|> + 22:05 [视频-长播] <|video_begin|> + 22:14 [视频-收藏/长播] <|video_begin|> + 22:14 [视频-长播] <|video_begin|> + 22:18 [视频-长播] <|video_begin|> + 22:18 [视频-长播] <|video_begin|> + 22:20 [视频-长播] <|video_begin|> + 22:20 [视频-长播] <|video_begin|> + 22:23 [视频-收藏/长播] <|video_begin|> + 22:28 [视频-浏览] <|video_begin|> + 22:31 [视频-长播] <|video_begin|> + 22:31 [视频-长播] <|video_begin|> + 22:33 [视频-长播] <|video_begin|> + 22:34 [视频-长播] <|video_begin|> + 22:46 [视频-长播] <|video_begin|> + 22:48 [视频-长播] <|video_begin|> + 22:55 [视频-收藏/长播] <|video_begin|> + 22:56 [视频-长播] <|video_begin|> + 22:59 [视频-长播] <|video_begin|> + 23:01 [视频-长播] <|video_begin|> + 23:01 [视频-长播] <|video_begin|> + 23:01 [视频-长播] <|video_begin|> + 23:38 [广告-深度转化] <|ad_begin|> + 23:38 [广告-点击] <|ad_begin|> + 23:38 [广告-点击] <|ad_begin|> + 23:41 [广告-深度转化] <|ad_begin|> + 23:41 [广告-点击] <|ad_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-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|> + 01:46 [视频-长播] <|video_begin|> + 01:46 [视频-长播] <|video_begin|> + 01:46 [视频-长播] <|video_begin|> + 01:46 [视频-长播] <|video_begin|> + 01:46 [视频-长播] <|video_begin|> + 01:52 [视频-长播] <|video_begin|> + 01:52 [视频-长播] <|video_begin|> + 01:52 [视频-长播] <|video_begin|> + 01:56 [视频-长播] <|video_begin|> + 01:56 [视频-长播] <|video_begin|> + 01:56 [视频-长播] <|video_begin|> + 02:00 [视频-长播] <|video_begin|> + 02:00 [视频-长播] <|video_begin|> + 02:03 [视频-长播] <|video_begin|> + 02:03 [视频-长播] <|video_begin|> + 02:03 [视频-长播] <|video_begin|> + 02:05 [广告-深度转化] <|ad_begin|> + 02:05 [广告-点击] <|ad_begin|> + 02:06 [广告-深度转化] <|ad_begin|> + 02:06 [广告-点击] <|ad_begin|> + 02:07 [广告-深度转化] <|ad_begin|> + 02:07 [广告-点击] <|ad_begin|> + 02:15 [视频-长播] <|video_begin|> + 02:15 [视频-长播] <|video_begin|> + 02:21 [广告-点击] <|ad_begin|> + 03:03 [广告-深度转化] <|ad_begin|> + 03:03 [广告-点击] <|ad_begin|> + 03:14 [广告-深度转化] <|ad_begin|> + 03:14 [广告-点击] <|ad_begin|> + 03:33 [广告-深度转化] <|ad_begin|> + 03:33 [广告-点击] <|ad_begin|> + 07:36 [视频-点赞/长播] <|video_begin|> + 07:48 [广告-点击] <|ad_begin|> + 07:50 [广告-深度转化] <|ad_begin|> + 07:50 [广告-点击] <|ad_begin|> + 07:50 [广告-深度转化] <|ad_begin|> + 07:50 [广告-点击] <|ad_begin|> + 07:51 [广告-深度转化] <|ad_begin|> + 07:51 [广告-点击] <|ad_begin|> + 07:52 [广告-深度转化] <|ad_begin|> + 07:52 [广告-点击] <|ad_begin|> + 07:54 [广告-深度转化] <|ad_begin|> + 07:54 [广告-点击] <|ad_begin|> + 07:56 [广告-深度转化] <|ad_begin|> + 07:56 [广告-点击] <|ad_begin|> + 07:59 [广告-点击] <|ad_begin|> + 08:00 [广告-深度转化] <|ad_begin|> + 08:00 [广告-点击] <|ad_begin|> + 08:02 [广告-深度转化] <|ad_begin|> + 08:02 [广告-点击] <|ad_begin|> + 08:04 [广告-深度转化] <|ad_begin|> + 08:04 [广告-点击] <|ad_begin|> + 08:05 [广告-深度转化] <|ad_begin|> + 08:05 [广告-点击] <|ad_begin|> + 08:07 [广告-深度转化] <|ad_begin|> + 08:07 [广告-点击] <|ad_begin|> + 08:10 [广告-深度转化] <|ad_begin|> + 08:10 [广告-点击] <|ad_begin|> + 08:13 [广告-深度转化] <|ad_begin|> + 08:13 [广告-点击] <|ad_begin|> + 08:15 [广告-深度转化] <|ad_begin|> + 08:15 [广告-点击] <|ad_begin|> + 08:17 [广告-点击] <|ad_begin|> + 08:55 [视频-长播] <|video_begin|> + 08:55 [视频-长播] <|video_begin|> + 09:02 [视频-长播] <|video_begin|> + 09:02 [视频-长播] <|video_begin|> + 09:06 [视频-长播] <|video_begin|> + 09:06 [视频-长播] <|video_begin|> + 09:06 [视频-长播] <|video_begin|> + 09:06 [视频-长播] <|video_begin|> + 09:06 [视频-长播] <|video_begin|> + 09:13 [视频-收藏/长播] <|video_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|> +角色任务：你是一个极端严苛的用户行为数据挖掘专家以及数据格式化专家，请根据以上用户交互历史，针对给定的主题，提取出具有行为递进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 +核心逻辑要求（递进性准则）： +按时间先后提取不超过 5 步的行为链，要求后项交互B必须对前项交互A形成场景需求协同补充、副作用诱因或兴趣细化升级——即 B 必须是由 A 延展出来的需求，严禁提取任何品类平级、内容重复或仅因天气/促销造成的并列凑单行为。 +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 的需求必须比交互 A 更具体、更细化，但不包括重复出现的购买、点击、搜索等行为，避免节点内容重复。 +请根据以下主题提取行为逻辑链： +主题：从被动种草到主动购买的消费决策闭环 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "从被动种草到主动购买的消费决策闭环", + "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" + } + ] + } +} + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +{"logic_chain":{"name":"从被动种草到主动购买的消费决策闭环","events":[{"date":"2026-02-05","action":"[视频-点赞/长播] <|video_begin|>","logic":"兴趣触发与信息获取：通过观看详细介绍“吊瓜子”的视频并点赞，用户被其“颗粒饱满”、“奶香味足”等具体卖点所吸引，完成了消费决策前的信息收集。"},{"date":"2026-02-05","action":"[商品-购买] <|prod_begin|>","logic":"决策执行与闭环：基于视频内容带来的强烈兴趣，用户迅速将观看行为转化为购买行动，购买了与视频内容高度一致的“吊瓜子”，完成了从种草到拔草的闭环。"}]}}<|im_end|> +<|im_start|>user +【用户交互历史】： +【2023-02-06】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2023-02-15】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2023-02-20】 + --:-- [商品-购买] <|prod_begin|> +【2023-10-29】 + --:-- [商品-购买] <|prod_begin|> +【2023-12-03】 + --:-- [商品-购买] <|prod_begin|> +【2024-01-06】 + --:-- [商品-购买] <|prod_begin|> +【2024-01-11】 + --:-- [商品-购买] <|prod_begin|> +【2024-01-28】 + --:-- [商品-购买] <|prod_begin|> +【2024-01-30】 + --:-- [商品-购买] <|prod_begin|> +【2024-02-10】 + --:-- [商品-购买] <|prod_begin|> +【2024-07-19】 + --:-- [商品-购买] <|prod_begin|> +【2024-09-03】 + --:-- [商品-购买] <|prod_begin|> +【2024-09-21】 + --:-- [商品-购买] <|prod_begin|> +【2024-09-27】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-10-01】 + --:-- [商品-购买] <|prod_begin|> +【2024-10-07】 + --:-- [商品-购买] <|prod_begin|> +【2024-10-16】 + --:-- [商品-购买] <|prod_begin|> +【2024-10-25】 + --:-- [商品-购买] <|prod_begin|> +【2024-11-09】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-11-29】 + --:-- [商品-购买] <|prod_begin|> +【2024-12-12】 + --:-- [商品-购买] <|prod_begin|> +【2025-01-05】 + --:-- [直播-关注] <|living_begin|> +【2025-01-16】 + --:-- [商品-购买] <|prod_begin|> +【2025-04-05】 + --:-- [直播-关注] <|living_begin|> +【2025-04-22】 + --:-- [直播-关注] <|living_begin|> +【2025-05-10】 + --:-- [直播-关注] <|living_begin|> +【2025-05-18】 + --:-- [直播-关注] <|living_begin|> +【2025-05-20】 + --:-- [直播-关注] <|living_begin|> +【2025-05-23】 + --:-- [直播-关注] <|living_begin|> +【2025-06-13】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-25】 + --:-- [直播-关注/打赏] <|living_begin|> +【2025-07-14】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-07-15】 + --:-- [直播-关注] <|living_begin|> +【2025-08-31】 + --:-- [直播-关注/打赏] <|living_begin|> +【2025-09-03】 + --:-- [直播-关注] <|living_begin|> +【2025-09-09】 + --:-- [直播-关注] <|living_begin|> +【2025-09-12】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-09-13】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-09-16】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-09-19】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-09-26】 + --:-- [直播-打赏] <|living_begin|> +【2025-10-07】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-10-11】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-10-12】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-10-14】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-10-17】 + --:-- [商品-点击] <|prod_begin|> +【2025-10-18】 + --:-- [直播-打赏] <|living_begin|> +【2025-10-19】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-10-20】 + --:-- [商品-点击] <|prod_begin|> +【2025-10-21】 + --:-- [商品-点击] <|prod_begin|> +【2025-10-23】 + --:-- [直播-关注] <|living_begin|> +【2025-10-24】 + --:-- [直播-关注] <|living_begin|> +【2025-10-25】 + --:-- [商品-点击] <|prod_begin|> +【2025-10-26】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-27】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-10-29】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-10-30】 + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-11-02】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-03】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-06】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-11】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-12】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-13】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-15】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-18】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-23】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-28】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-29】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-02】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-04】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-05】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-18】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-22】 + --:-- [直播-关注] <|living_begin|> +【2025-12-30】 + 10:29 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-31】 + 02:54 [广告-点击] <|ad_begin|> +【2026-01-01】 + 02:41 [广告-点击] <|ad_begin|> + 18:46 [广告-点击] <|ad_begin|> +【2026-01-02】 + --:-- [商品-点击] <|prod_begin|> + 12:48 [广告-点击] <|ad_begin|> +【2026-01-04】 + 01:25 [广告-点击] <|ad_begin|> + 12:03 [广告-点击] <|ad_begin|> +【2026-01-05】 + 10:07 [广告-点击] <|ad_begin|> + 10:07 [广告-点击] <|ad_begin|> + 10:08 [广告-点击] <|ad_begin|> + 18:43 [广告-点击] <|ad_begin|> +【2026-01-06】 + 07:05 [广告-点击] <|ad_begin|> + 12:54 [广告-点击] <|ad_begin|> + 14:03 [广告-点击] <|ad_begin|> +【2026-01-07】 + 02:10 [广告-点击] <|ad_begin|> + 05:06 [广告-点击] <|ad_begin|> + 13:11 [广告-点击] <|ad_begin|> + 14:42 [广告-点击] <|ad_begin|> +【2026-01-08】 + 11:12 [广告-点击] <|ad_begin|> + 23:04 [广告-点击] <|ad_begin|> +【2026-01-09】 + 03:12 [广告-点击] <|ad_begin|> + 03:12 [广告-点击] <|ad_begin|> + 03:12 [广告-点击] <|ad_begin|> + 08:49 [广告-点击] <|ad_begin|> + 14:13 [广告-点击] <|ad_begin|> + 14:41 [广告-点击] <|ad_begin|> +【2026-01-10】 + 06:02 [广告-点击] <|ad_begin|> + 07:35 [广告-点击] <|ad_begin|> + 09:45 [广告-点击] <|ad_begin|> + 09:46 [广告-点击] <|ad_begin|> + 09:47 [广告-点击] <|ad_begin|> + 09:48 [广告-点击] <|ad_begin|> + 15:32 [广告-点击] <|ad_begin|> +【2026-01-11】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 11:32 [广告-点击] <|ad_begin|> + 11:33 [广告-点击] <|ad_begin|> + 11:33 [广告-点击] <|ad_begin|> +【2026-01-12】 + 09:42 [广告-点击] <|ad_begin|> + 18:39 [广告-点击] <|ad_begin|> +【2026-01-13】 + 01:56 [广告-点击] <|ad_begin|> +【2026-01-14】 + 03:27 [广告-点击] <|ad_begin|> +【2026-01-15】 + 05:04 [广告-点击] <|ad_begin|> + 15:18 [广告-点击] <|ad_begin|> + 16:19 [广告-点击] <|ad_begin|> +【2026-01-16】 + 11:30 [广告-点击] <|ad_begin|> + 11:30 [广告-点击] <|ad_begin|> + 11:32 [广告-点击] <|ad_begin|> +【2026-01-17】 + --:-- [商品-点击] <|prod_begin|> + 13:01 [广告-点击] <|ad_begin|> +【2026-01-18】 + 18:08 [广告-点击] <|ad_begin|> + 18:08 [广告-点击] <|ad_begin|> + 18:08 [广告-点击] <|ad_begin|> + 18:09 [广告-点击] <|ad_begin|> +【2026-01-20】 + 00:21 [广告-点击] <|ad_begin|> + 12:07 [广告-点击] <|ad_begin|> +【2026-01-21】 + 03:17 [广告-点击] <|ad_begin|> + 06:56 [广告-点击] <|ad_begin|> + 10:58 [广告-点击] <|ad_begin|> + 15:10 [广告-点击] <|ad_begin|> +【2026-01-22】 + 04:32 [广告-点击] <|ad_begin|> + 13:12 [广告-点击] <|ad_begin|> + 13:13 [广告-点击] <|ad_begin|> +【2026-01-23】 + 14:24 [广告-点击] <|ad_begin|> + 14:24 [广告-点击] <|ad_begin|> + 14:25 [广告-点击] <|ad_begin|> +【2026-01-24】 + 13:06 [广告-点击] <|ad_begin|> +【2026-01-26】 + 02:17 [广告-点击] <|ad_begin|> + 20:52 [视频-长播] <|video_begin|> + 20:52 [视频-长播] <|video_begin|> +【2026-01-27】 + 05:08 [广告-点击] <|ad_begin|> + 10:01 [视频-长播] <|video_begin|> + 11:22 [视频-长播] <|video_begin|> + 11:22 [视频-长播] <|video_begin|> + 17:46 [视频-长播] <|video_begin|> + 17:46 [视频-长播] <|video_begin|> +【2026-01-28】 + 03:01 [视频-长播] <|video_begin|> + 04:32 [视频-长播] <|video_begin|> + 04:32 [视频-长播] <|video_begin|> + 05:12 [视频-长播] <|video_begin|> + 05:17 [视频-点赞] <|video_begin|> + 05:37 [视频-长播] <|video_begin|> + 07:03 [视频-长播] <|video_begin|> + 07:03 [视频-长播] <|video_begin|> + 07:50 [视频-长播] <|video_begin|> + 07:51 [视频-长播] <|video_begin|> + 07:52 [视频-长播] <|video_begin|> + 07:52 [视频-长播] <|video_begin|> + 08:04 [视频-长播] <|video_begin|> + 08:04 [视频-长播] <|video_begin|> + 08:07 [视频-长播] <|video_begin|> + 08:07 [视频-长播] <|video_begin|> + 08:21 [视频-长播] <|video_begin|> + 19:35 [视频-长播] <|video_begin|> + 19:35 [视频-长播] <|video_begin|> +【2026-01-29】 + 05:35 [视频-长播] <|video_begin|> + 19:08 [视频-长播] <|video_begin|> + 19:08 [视频-长播] <|video_begin|> +【2026-01-31】 + 05:43 [视频-点赞/长播] <|video_begin|> + 05:43 [视频-长播] <|video_begin|> + 11:58 [视频-长播] <|video_begin|> + 12:05 [视频-点赞/长播] <|video_begin|> + 12:05 [视频-点赞/长播] <|video_begin|> + 12:05 [视频-长播] <|video_begin|> + 12:15 [视频-点赞/长播] <|video_begin|> + 12:19 [视频-点赞/长播] <|video_begin|> + 14:08 [广告-点击] <|ad_begin|> + 17:15 [视频-点赞/长播] <|video_begin|> + 17:27 [视频-点赞/长播] <|video_begin|> +【2026-02-01】 + 03:24 [视频-点赞/长播] <|video_begin|> + 03:24 [视频-长播] <|video_begin|> + 03:29 [视频-点赞/长播] <|video_begin|> + 03:29 [视频-点赞/长播] <|video_begin|> + 03:29 [视频-点赞/长播] <|video_begin|> + 04:17 [视频-点赞/长播] <|video_begin|> + 04:17 [视频-点赞/长播] <|video_begin|> + 06:55 [视频-点赞/长播] <|video_begin|> + 06:55 [视频-点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 11:39 [视频-点赞/长播] <|video_begin|> + 11:39 [视频-点赞/长播] <|video_begin|> + 11:39 [视频-点赞/长播] <|video_begin|> + 11:39 [视频-长播] <|video_begin|> + 19:27 [视频-点赞/长播] <|video_begin|> + 19:27 [视频-长播] <|video_begin|> +【2026-02-02】 + 06:13 [视频-点赞/长播] <|video_begin|> + 07:35 [视频-长播] <|video_begin|> + 07:41 [视频-点赞/长播] <|video_begin|> + 07:41 [视频-点赞/长播] <|video_begin|> + 07:41 [视频-点赞/长播] <|video_begin|> + 07:41 [视频-点赞/长播] <|video_begin|> + 07:41 [视频-长播] <|video_begin|> + 07:52 [视频-点赞/长播] <|video_begin|> + 07:52 [视频-点赞/长播] <|video_begin|> + 07:52 [视频-点赞/长播] <|video_begin|> + 08:00 [视频-点赞/长播] <|video_begin|> + 08:00 [视频-长播] <|video_begin|> + 18:25 [视频-点赞/长播] <|video_begin|> + 18:30 [视频-点赞/长播] <|video_begin|> + 18:30 [视频-长播] <|video_begin|> + 20:17 [视频-点赞/长播] <|video_begin|> + 20:17 [视频-长播] <|video_begin|> +【2026-02-03】 + 09:46 [视频-点赞/长播] <|video_begin|> + 09:48 [视频-点赞/长播] <|video_begin|> + 09:55 [视频-长播] <|video_begin|> + 10:00 [视频-点赞/长播] <|video_begin|> + 10:00 [视频-点赞/长播] <|video_begin|> + 10:00 [视频-长播] <|video_begin|> + 10:04 [视频-点赞/长播] <|video_begin|> + 10:12 [视频-点赞/长播] <|video_begin|> + 10:12 [视频-点赞/长播] <|video_begin|> + 10:12 [视频-点赞/长播] <|video_begin|> + 10:21 [视频-长播] <|video_begin|> + 11:21 [视频-长播] <|video_begin|> + 19:15 [视频-点赞/长播] <|video_begin|> + 19:15 [视频-点赞/长播] <|video_begin|> + 19:15 [视频-长播] <|video_begin|> +【2026-02-04】 + 06:36 [广告-点击] <|ad_begin|> + 10:07 [视频-长播] <|video_begin|> + 10:07 [视频-长播] <|video_begin|> + 10:11 [视频-点赞/长播] <|video_begin|> + 10:16 [视频-点赞/长播] <|video_begin|> + 10:16 [视频-长播] <|video_begin|> + 19:04 [视频-点赞/长播] <|video_begin|> + 19:11 [视频-点赞/长播] <|video_begin|> +【2026-02-05】 + 01:51 [视频-长播] <|video_begin|> + 03:36 [视频-点赞/长播] <|video_begin|> + 03:36 [视频-点赞/长播] <|video_begin|> + 03:36 [视频-点赞/长播] <|video_begin|> + 10:48 [视频-点赞/长播] <|video_begin|> + 10:48 [视频-长播] <|video_begin|> + 10:48 [视频-长播] <|video_begin|> + 11:34 [视频-点赞/长播] <|video_begin|> + 12:48 [广告-点击] <|ad_begin|> + 14:49 [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：从被动接收旅行信息到主动规划的意图浮现 + +输出格式要求：请务必仅返回一个包含 SID 的 JSON 数组，不要附带任何额外的文字解释或冗余内容。 + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +["<|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|>","<|video_begin|>"]<|im_end|> +<|im_start|>user +【用户交互历史】： +【2025-11-02】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-11-19】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-11-22】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [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|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-23】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-11-26】 + --:-- [直播-打赏] <|living_begin|> +【2025-11-29】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-06】 + --:-- [直播-关注] <|living_begin|> +【2025-12-07】 + --:-- [直播-关注] <|living_begin|> +【2025-12-08】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-11】 + --:-- [直播-关注] <|living_begin|> +【2025-12-12】 + --:-- [直播-关注] <|living_begin|> +【2025-12-13】 + --:-- [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|> + 00:09 [广告-点击] <|ad_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-14】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-16】 + --:-- [直播-关注] <|living_begin|> +【2025-12-20】 + --:-- [直播-关注] <|living_begin|> +【2025-12-21】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-23】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-12-25】 + --:-- [直播-关注] <|living_begin|> +【2025-12-27】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-12-28】 + --:-- [直播-关注] <|living_begin|> + --:-- [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|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-12-30】 + 23:06 [广告-点击] <|ad_begin|> +【2026-01-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + 00:02 [广告-点击] <|ad_begin|> +【2026-01-02】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + 02:30 [广告-点击] <|ad_begin|> + 04:01 [广告-点击] <|ad_begin|> +【2026-01-03】 + --:-- [商品-加购] <|prod_begin|> +【2026-01-05】 + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> +【2026-01-06】 + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> +【2026-01-07】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> +【2026-01-08】 + --:-- [商品-加购] <|prod_begin|> +【2026-01-09】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + 23:54 [广告-点击] <|ad_begin|> +【2026-01-10】 + --:-- [直播-关注] <|living_begin|> + 00:45 [广告-点击] <|ad_begin|> + --:-- [商品-购买] <|prod_begin|> + 04:12 [广告-点击] <|ad_begin|> +【2026-01-11】 + --:-- [直播-关注] <|living_begin|> +【2026-01-14】 + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> +【2026-01-16】 + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> +【2026-01-17】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2026-01-21】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2026-01-22】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + 01:37 [视频-点赞/长播] <|video_begin|> + 23:37 [视频-关注/长播] <|video_begin|> +【2026-01-23】 + 01:22 [广告-点击] <|ad_begin|> + 01:32 [视频-收藏/点赞/长播] <|video_begin|> + 12:30 [广告-点击] <|ad_begin|> +【2026-01-24】 + --:-- [直播-首次打赏] <|living_begin|> + 08:32 [视频-关注/点赞/长播] <|video_begin|> + 23:41 [视频-点赞/长播] <|video_begin|> +【2026-01-25】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + 01:31 [视频-评论/点赞/长播] <|video_begin|> + 03:46 [视频-关注/点赞/长播] <|video_begin|> + 09:48 [视频-转发/长播] <|video_begin|> + 11:03 [视频-关注/长播] <|video_begin|> + 12:06 [视频-点赞/长播] <|video_begin|> + 12:54 [视频-点赞/长播] <|video_begin|> + 12:59 [视频-评论/长播] <|video_begin|> + 12:59 [视频-评论/长播] <|video_begin|> + 14:24 [视频-评论/点赞/长播] <|video_begin|> +【2026-01-26】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 00:44 [视频-评论/长播] <|video_begin|> + 02:00 [视频-收藏/长播] <|video_begin|> + 02:17 [视频-评论/长播] <|video_begin|> + 02:52 [视频-评论/长播] <|video_begin|> + 07:16 [视频-点赞/长播] <|video_begin|> + 07:57 [视频-评论/长播] <|video_begin|> + 14:56 [视频-评论/长播] <|video_begin|> +【2026-01-27】 + 10:44 [视频-评论/长播] <|video_begin|> +【2026-01-28】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + 00:08 [视频-转发/评论/长播] <|video_begin|> + 00:32 [视频-关注/收藏/点赞/长播] <|video_begin|> + 01:17 [视频-评论/长播] <|video_begin|> + 01:28 [视频-评论/长播] <|video_begin|> + 01:42 [视频-转发/长播] <|video_begin|> + 01:44 [视频-收藏/长播] <|video_begin|> + 13:33 [视频-评论/点赞/长播] <|video_begin|> + 15:45 [视频-评论/长播] <|video_begin|> +【2026-01-29】 + 00:37 [视频-评论/长播] <|video_begin|> + 00:52 [视频-评论/长播] <|video_begin|> + 01:06 [视频-评论/长播] <|video_begin|> + 02:37 [广告-点击] <|ad_begin|> + 14:07 [视频-评论/长播] <|video_begin|> +【2026-01-30】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 02:22 [视频-评论/长播] <|video_begin|> + 03:03 [视频-评论/长播] <|video_begin|> + 03:13 [视频-评论/长播] <|video_begin|> + 09:07 [视频-评论/长播] <|video_begin|> +【2026-01-31】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + 11:20 [视频-评论/长播] <|video_begin|> + 14:42 [视频-关注/长播] <|video_begin|> + 22:25 [视频-评论/长播] <|video_begin|> + 23:33 [视频-转发/长播] <|video_begin|> + 23:41 [视频-评论/长播] <|video_begin|> +【2026-02-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> + 00:56 [视频-点赞/长播] <|video_begin|> + 00:56 [视频-评论/长播] <|video_begin|> + 01:18 [视频-评论/长播] <|video_begin|> + 05:02 [视频-评论/点赞/长播] <|video_begin|> + 08:32 [视频-转发/点赞/长播] <|video_begin|> + 10:05 [视频-评论/长播] <|video_begin|> + 15:14 [视频-评论/长播] <|video_begin|> + 15:18 [视频-评论/长播] <|video_begin|> + 15:18 [视频-收藏/点赞/长播] <|video_begin|> + 15:22 [视频-评论/长播] <|video_begin|> + 23:24 [视频-收藏/长播] <|video_begin|> + 23:25 [广告-点击] <|ad_begin|> + 23:56 [视频-评论/长播] <|video_begin|> +【2026-02-02】 + 00:18 [视频-评论/长播] <|video_begin|> + 00:27 [视频-评论/长播] <|video_begin|> + 00:47 [视频-转发/长播] <|video_begin|> + 00:58 [视频-点赞/长播] <|video_begin|> + 06:03 [视频-评论/长播] <|video_begin|> + 14:20 [视频-评论/长播] <|video_begin|> +【2026-02-03】 + 01:07 [视频-点赞/长播] <|video_begin|> + 01:30 [视频-关注/长播] <|video_begin|> + 01:35 [视频-评论/长播] <|video_begin|> + 01:50 [视频-评论/长播] <|video_begin|> + 01:51 [视频-关注/评论/长播] <|video_begin|> + 01:57 [视频-关注/长播] <|video_begin|> + 02:19 [视频-评论/长播] <|video_begin|> + 03:43 [视频-转发/评论/长播] <|video_begin|> + 05:28 [视频-收藏/长播] <|video_begin|> + 07:42 [视频-关注/点赞/长播] <|video_begin|> + 08:00 [视频-评论/长播] <|video_begin|> + 08:21 [视频-关注/收藏/点赞/长播] <|video_begin|> + 08:26 [视频-关注/点赞/长播] <|video_begin|> + 08:32 [视频-评论/长播] <|video_begin|> + 10:40 [视频-评论/长播] <|video_begin|> + 10:40 [视频-评论/长播] <|video_begin|> + 13:22 [视频-收藏/长播] <|video_begin|> + 14:24 [视频-点赞/长播] <|video_begin|> + 14:24 [视频-关注/评论/点赞/长播] <|video_begin|> +【2026-02-04】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [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|> + 00:38 [视频-评论/长播] <|video_begin|> + 00:50 [视频-评论/点赞/长播] <|video_begin|> + 00:50 [视频-收藏/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-购买] <|prod_begin|> + 06:58 [视频-评论/长播] <|video_begin|> + 16:09 [视频-收藏/点赞/长播] <|video_begin|> + 16:23 [视频-长播] <|video_begin|> + 16:24 [视频-长播] <|video_begin|> + 16:39 [视频-长播] <|video_begin|> +【2026-02-05】 + 00:30 [视频-长播] <|video_begin|> + 00:30 [视频-长播] <|video_begin|> + 00:34 [视频-长播] <|video_begin|> + 00:34 [视频-长播] <|video_begin|> + 00:38 [视频-长播] <|video_begin|> + 00:38 [视频-长播] <|video_begin|> + 00:46 [视频-长播] <|video_begin|> + 00:46 [视频-长播] <|video_begin|> + 00:46 [视频-转发/长播] <|video_begin|> + 00:58 [视频-长播] <|video_begin|> + 00:58 [视频-长播] <|video_begin|> + 01:00 [视频-长播] <|video_begin|> + 01:00 [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|> + --:-- [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|> + 05:14 [视频-长播] <|video_begin|> + 05:52 [视频-评论/长播] <|video_begin|> + 05:52 [视频-收藏/长播] <|video_begin|> + 07:37 [视频-长播] <|video_begin|> + 07:42 [视频-长播] <|video_begin|> + 07:42 [视频-长播] <|video_begin|> + 07:42 [视频-评论/长播] <|video_begin|> + 07:43 [视频-长播] <|video_begin|> + 07:43 [视频-长播] <|video_begin|> + 08:15 [视频-长播] <|video_begin|> + 08:15 [视频-长播] <|video_begin|> + 08:29 [视频-长播] <|video_begin|> + 08:29 [视频-评论/长播] <|video_begin|> + 08:30 [视频-长播] <|video_begin|> + 08:30 [视频-关注/评论/长播] <|video_begin|> + 08:32 [视频-长播] <|video_begin|> + 08:32 [视频-长播] <|video_begin|> + 08:32 [视频-评论/长播] <|video_begin|> + 08:32 [视频-收藏/长播] <|video_begin|> + 08:35 [视频-长播] <|video_begin|> + 08:35 [视频-长播] <|video_begin|> + 08:35 [视频-评论/长播] <|video_begin|> + 08:38 [视频-长播] <|video_begin|> + 08:38 [视频-长播] <|video_begin|> + 08:38 [视频-评论/长播] <|video_begin|> + 08:44 [视频-长播] <|video_begin|> + 08:44 [视频-长播] <|video_begin|> + 08:48 [视频-长播] <|video_begin|> + 08:48 [视频-长播] <|video_begin|> + 08:48 [视频-长播] <|video_begin|> + 09:00 [视频-评论/长播] <|video_begin|> + 10:41 [视频-长播] <|video_begin|> + 10:43 [视频-评论/长播] <|video_begin|> + 10:57 [视频-长播] <|video_begin|> + 11:00 [视频-长播] <|video_begin|> + 11:00 [视频-长播] <|video_begin|> + 11:00 [视频-长播] <|video_begin|> + 11:00 [视频-长播] <|video_begin|> + 11:01 [视频-长播] <|video_begin|> + 11:01 [视频-长播] <|video_begin|> + 11:01 [视频-长播] <|video_begin|> + 11:15 [视频-长播] <|video_begin|> + 11:15 [视频-长播] <|video_begin|> + 12:06 [视频-长播] <|video_begin|> + 12:06 [视频-长播] <|video_begin|> + 12:10 [视频-点赞/长播] <|video_begin|> + 13:59 [视频-长播] <|video_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|> + --:-- [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：从泛化兴趣到聚焦特定手工技法的深度探索 + +输出格式要求：请严格只输出包含 SID 字段的 JSON 数组格式，禁止输出任何其他补充说明或解释性文本。 + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +["<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|living_begin|>","<|prod_begin|>"]<|im_end|> +<|im_start|>user +【用户交互历史】： +【2025-12-20】 + 01:17 [广告-深度转化] <|ad_begin|> + 17:06 [广告-深度转化] <|ad_begin|> +【2025-12-21】 + 07:38 [广告-深度转化] <|ad_begin|> + 18:09 [广告-深度转化] <|ad_begin|> + 18:41 [广告-深度转化] <|ad_begin|> + 18:53 [广告-深度转化] <|ad_begin|> +【2025-12-23】 + 03:22 [广告-深度转化] <|ad_begin|> +【2025-12-27】 + 02:39 [广告-深度转化] <|ad_begin|> +【2026-01-02】 + 08:22 [广告-深度转化] <|ad_begin|> +【2026-01-21】 + 04:12 [广告-深度转化] <|ad_begin|> + 11:37 [广告-深度转化] <|ad_begin|> +【2026-01-22】 + 04:09 [视频-点赞/长播] <|video_begin|> +【2026-01-23】 + 03:27 [广告-深度转化] <|ad_begin|> +【2026-01-25】 + 14:01 [广告-点击] <|ad_begin|> + 16:23 [广告-点击] <|ad_begin|> +【2026-01-26】 + 20:52 [广告-点击] <|ad_begin|> + 21:08 [广告-点击] <|ad_begin|> + 21:10 [广告-点击] <|ad_begin|> + 21:10 [广告-点击] <|ad_begin|> +【2026-01-27】 + 04:15 [广告-点击] <|ad_begin|> + 13:31 [广告-点击] <|ad_begin|> +【2026-01-28】 + 05:00 [广告-点击] <|ad_begin|> + 05:32 [广告-点击] <|ad_begin|> + 05:42 [广告-点击] <|ad_begin|> + 07:16 [广告-点击] <|ad_begin|> + 09:03 [广告-点击] <|ad_begin|> + 09:05 [广告-点击] <|ad_begin|> + 09:06 [广告-点击] <|ad_begin|> + 18:02 [广告-点击] <|ad_begin|> + 23:17 [广告-点击] <|ad_begin|> + 23:20 [广告-点击] <|ad_begin|> +【2026-01-29】 + 02:53 [广告-点击] <|ad_begin|> + 02:54 [广告-点击] <|ad_begin|> + 11:32 [广告-点击] <|ad_begin|> + 11:33 [视频-浏览] <|video_begin|> + 11:35 [视频-长播] <|video_begin|> + 11:37 [视频-长播] <|video_begin|> + 11:37 [视频-长播] <|video_begin|> + 17:56 [广告-点击] <|ad_begin|> + 17:57 [广告-点击] <|ad_begin|> + 18:13 [视频-长播] <|video_begin|> + 18:13 [视频-长播] <|video_begin|> + 18:21 [视频-长播] <|video_begin|> +【2026-01-30】 + 05:25 [广告-点击] <|ad_begin|> + 05:27 [视频-长播] <|video_begin|> + 05:28 [视频-长播] <|video_begin|> + 08:30 [广告-点击] <|ad_begin|> + 10:10 [广告-点击] <|ad_begin|> + 10:12 [广告-点击] <|ad_begin|> + 10:13 [广告-点击] <|ad_begin|> + 18:30 [广告-点击] <|ad_begin|> + 19:10 [广告-点击] <|ad_begin|> +【2026-01-31】 + 02:49 [广告-点击] <|ad_begin|> + 02:50 [广告-点击] <|ad_begin|> + 02:51 [广告-点击] <|ad_begin|> + 02:52 [广告-点击] <|ad_begin|> + 02:53 [广告-点击] <|ad_begin|> + 02:56 [广告-点击] <|ad_begin|> + 10:14 [广告-点击] <|ad_begin|> + 10:15 [广告-点击] <|ad_begin|> + 10:27 [广告-点击] <|ad_begin|> +【2026-02-01】 + 01:49 [视频-长播] <|video_begin|> + 01:53 [视频-长播] <|video_begin|> + 01:55 [广告-点击] <|ad_begin|> + 11:50 [视频-长播] <|video_begin|> + 11:51 [视频-长播] <|video_begin|> + 11:51 [视频-长播] <|video_begin|> + 11:54 [视频-长播] <|video_begin|> + 11:54 [视频-长播] <|video_begin|> + 12:03 [视频-长播] <|video_begin|> + 16:50 [广告-点击] <|ad_begin|> + 17:23 [广告-点击] <|ad_begin|> +【2026-02-02】 + 04:09 [视频-长播] <|video_begin|> + 04:10 [视频-长播] <|video_begin|> + 04:14 [广告-点击] <|ad_begin|> + 04:27 [广告-点击] <|ad_begin|> + 10:39 [视频-长播] <|video_begin|> + 11:49 [视频-长播] <|video_begin|> + 11:50 [视频-长播] <|video_begin|> + 12:10 [视频-评论/长播] <|video_begin|> + 12:11 [视频-长播] <|video_begin|> + 12:13 [视频-长播] <|video_begin|> + 12:15 [视频-长播] <|video_begin|> + 12:17 [视频-长播] <|video_begin|> + 12:17 [视频-长播] <|video_begin|> + 12:19 [视频-长播] <|video_begin|> + 12:23 [视频-浏览] <|video_begin|> + 12:25 [视频-长播] <|video_begin|> + 12:29 [视频-长播] <|video_begin|> + 12:29 [视频-长播] <|video_begin|> + 12:29 [视频-长播] <|video_begin|> + 12:34 [视频-长播] <|video_begin|> + 12:34 [视频-长播] <|video_begin|> + 14:38 [视频-长播] <|video_begin|> + 14:47 [视频-长播] <|video_begin|> + 14:47 [视频-长播] <|video_begin|> + 19:12 [广告-点击] <|ad_begin|> + 19:13 [广告-点击] <|ad_begin|> + 19:13 [广告-点击] <|ad_begin|> + 19:16 [广告-点击] <|ad_begin|> + 19:16 [广告-点击] <|ad_begin|> + 19:42 [广告-点击] <|ad_begin|> + 19:42 [广告-点击] <|ad_begin|> + 19:43 [广告-点击] <|ad_begin|> + 23:03 [视频-长播] <|video_begin|> + 23:04 [广告-点击] <|ad_begin|> + 23:05 [广告-点击] <|ad_begin|> +【2026-02-03】 + 03:47 [视频-收藏/长播] <|video_begin|> + 03:49 [视频-长播] <|video_begin|> + 03:49 [视频-收藏/长播] <|video_begin|> + 03:55 [广告-点击] <|ad_begin|> + 03:57 [广告-点击] <|ad_begin|> + 04:00 [广告-深度转化] <|ad_begin|> + 04:00 [广告-点击] <|ad_begin|> + 04:07 [广告-点击] <|ad_begin|> + 06:40 [视频-长播] <|video_begin|> + 06:40 [视频-长播] <|video_begin|> + 06:52 [视频-长播] <|video_begin|> + 06:58 [视频-长播] <|video_begin|> + 06:58 [视频-长播] <|video_begin|> + 08:05 [视频-长播] <|video_begin|> + 10:31 [广告-深度转化] <|ad_begin|> + 10:31 [广告-点击] <|ad_begin|> + 10:46 [视频-长播] <|video_begin|> + 11:24 [视频-长播] <|video_begin|> + 15:13 [视频-长播] <|video_begin|> +【2026-02-04】 + 17:04 [广告-点击] <|ad_begin|> + 17:05 [广告-点击] <|ad_begin|> + 17:07 [广告-点击] <|ad_begin|> + 17:07 [广告-点击] <|ad_begin|> + 17:10 [广告-点击] <|ad_begin|> + 17:33 [视频-长播] <|video_begin|> + 17:33 [视频-长播] <|video_begin|> + 17:35 [视频-长播] <|video_begin|> + 17:42 [广告-点击] <|ad_begin|> + 17:42 [广告-点击] <|ad_begin|> + 17:43 [广告-点击] <|ad_begin|> +【2026-02-05】 + 05:30 [广告-点击] <|ad_begin|> + 05:31 [广告-点击] <|ad_begin|> + 05:34 [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：从泛化娱乐到特定主题的DIY兴趣探索 + +输出格式要求：请严格只输出包含 SID 字段的 JSON 数组格式，禁止输出任何其他补充说明或解释性文本。 + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +["<|video_begin|>","<|video_begin|>","<|ad_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>"]<|im_end|> 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151719, 161683, 171015, 2198, 176245, 154764, 163009, 176004, 2198, 176245, 156808, 163089, 174127, 2198, 176245, 157990, 164199, 168960, 1341, 151645, 198, -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][INFO|configuration_utils.py:769] 2026-07-16 01:30:07,521 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-16 01:30:07,522 >> Model config Qwen3Config { + "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 +} + + +labels: +{"logic_chain":{"name":"从被动接收到主动探索：汽车后市场消费决策演化","events":[{"date":"2026-01-21","action":"[视频-收藏/长播] <|video_begin|>","logic":"初始触发：通过收藏汽车实用技巧视频，表现出对提升驾驶体验和安全性的初步兴趣。"},{"date":"2026-01-30","action":"[视频-收藏/长播] <|video_begin|>","logic":"兴趣聚焦：从泛化的汽车知识，收敛到对“行车记录仪”这一具体安防设备的功能性认知，并收藏了介绍视频。"},{"date":"2026-01-30","action":"[商品-点击] <|prod_begin|>","logic":"决策深化与参数对比（维度一）：主动点击具体商品，关注点明确为“4K高清”、“前后双录”、“手机互联”，开始进入产品选型和参数对比阶段。"},{"date":"2026-01-30","action":"[商品-点击] <|prod_begin|>","logic":"认知增量与需求升级（维度二）：在“4K高清”基础上，增加了“三镜头”、“车内录像”、“倒车影像”等新功能维度，体现了对产品功能覆盖面更全面的考量，完成了从“前后双录”到“三镜头全景”的认知跃迁。"}]}}<|im_end|> +{"logic_chain":{"name":"从被动种草到主动购买的消费决策闭环","events":[{"date":"2026-02-05","action":"[视频-点赞/长播] <|video_begin|>","logic":"兴趣触发与信息获取：通过观看详细介绍“吊瓜子”的视频并点赞，用户被其“颗粒饱满”、“奶香味足”等具体卖点所吸引，完成了消费决策前的信息收集。"},{"date":"2026-02-05","action":"[商品-购买] <|prod_begin|>","logic":"决策执行与闭环：基于视频内容带来的强烈兴趣，用户迅速将观看行为转化为购买行动，购买了与视频内容高度一致的“吊瓜子”，完成了从种草到拔草的闭环。"}]}}<|im_end|> +["<|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|>","<|video_begin|>"]<|im_end|> +["<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|living_begin|>","<|prod_begin|>"]<|im_end|> +["<|video_begin|>","<|video_begin|>","<|ad_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>"]<|im_end|> + +[INFO|2026-07-16 01:30:07] llamafactory.model.model_utils.kv_cache:144 >> KV cache is disabled during training. +[INFO|2026-07-16 01:30:07] llamafactory.model.model_utils.liger_kernel:144 >> Liger kernel has been applied to the model. +[INFO|modeling_utils.py:748] 2026-07-16 01:30:07,955 >> loading weights file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/model.safetensors +[INFO|modeling_utils.py:821] 2026-07-16 01:30:07,955 >> Will use dtype=torch.bfloat16 as defined in model's config object +[INFO|configuration_utils.py:1027] 2026-07-16 01:30:08,006 >> Generate config GenerationConfig { + "eos_token_id": 151645, + "output_attentions": false, + "output_hidden_states": false, + "pad_token_id": 151643, + "use_cache": false +} + + Loading weights: 0%| | 0/311 [00:00> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/generation_config.json +[INFO|configuration_utils.py:1027] 2026-07-16 01:30:08,381 >> Generate config GenerationConfig { + "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] 2026-07-16 01:30:08,381 >> Could not locate the custom_generate/generate.py inside /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018. +[INFO|2026-07-16 01:30:08] llamafactory.model.model_utils.checkpointing:144 >> Gradient checkpointing enabled. +[INFO|2026-07-16 01:30:08] llamafactory.model.model_utils.attention:144 >> Using FlashAttention-2 for faster training and inference. +[INFO|2026-07-16 01:30:08] llamafactory.model.adapter:144 >> Pure bf16 / BAdam detected, remaining trainable params in half precision. +[INFO|2026-07-16 01:30:08] llamafactory.model.adapter:144 >> Fine-tuning method: Full +[INFO|2026-07-16 01:30:08] llamafactory.model.loader:144 >> trainable params: 801,433,600 || all params: 801,433,600 || trainable%: 100.0000 +[INFO|trainer.py:1469] 2026-07-16 01:30:08,530 >> ***** Running training ***** +[INFO|trainer.py:1470] 2026-07-16 01:30:08,530 >> Num examples = 297 +[INFO|trainer.py:1471] 2026-07-16 01:30:08,530 >> Num Epochs = 1 +[INFO|trainer.py:1472] 2026-07-16 01:30:08,530 >> Num update steps per epoch = 75 +[INFO|trainer.py:1473] 2026-07-16 01:30:08,530 >> Instantaneous batch size per device = 1 +[INFO|trainer.py:1476] 2026-07-16 01:30:08,530 >> Total train batch size (w. parallel, distributed & accumulation) = 4 +[INFO|trainer.py:1477] 2026-07-16 01:30:08,530 >> Gradient Accumulation steps = 4 +[INFO|trainer.py:1478] 2026-07-16 01:30:08,530 >> Total optimization steps = 34 +[INFO|trainer.py:1479] 2026-07-16 01:30:08,530 >> Number of trainable parameters = 801,433,600 + 0%| | 0/34 [00:00> `use_return_dict` is deprecated! Use `return_dict` instead! + 3%|▎ | 1/34 [00:08<04:44, 8.63s/it] 6%|▌ | 2/34 [00:16<04:13, 7.91s/it] 9%|▉ | 3/34 [00:24<04:15, 8.23s/it] 12%|█▏ | 4/34 [00:32<04:06, 8.20s/it] 15%|█▍ | 5/34 [00:41<04:03, 8.39s/it] 18%|█▊ | 6/34 [00:49<03:47, 8.14s/it] 21%|██ | 7/34 [00:56<03:35, 7.99s/it] 24%|██▎ | 8/34 [01:04<03:26, 7.96s/it] 26%|██▋ | 9/34 [01:12<03:19, 7.98s/it] 29%|██▉ | 10/34 [01:19<03:04, 7.70s/it] 29%|██▉ | 10/34 [01:19<03:04, 7.70s/it] 32%|███▏ | 11/34 [01:27<02:58, 7.75s/it] 35%|███▌ | 12/34 [01:35<02:51, 7.80s/it] 38%|███▊ | 13/34 [01:43<02:46, 7.94s/it] 41%|████ | 14/34 [01:51<02:36, 7.84s/it] 44%|████▍ | 15/34 [01:59<02:31, 7.97s/it] 47%|████▋ | 16/34 [02:07<02:21, 7.86s/it] 50%|█████ | 17/34 [02:16<02:20, 8.25s/it] 53%|█████▎ | 18/34 [02:24<02:11, 8.24s/it] 56%|█████▌ | 19/34 [02:32<01:59, 7.96s/it] 59%|█████▉ | 20/34 [02:40<01:51, 7.99s/it] 59%|█████▉ | 20/34 [02:40<01:51, 7.99s/it] 62%|██████▏ | 21/34 [02:47<01:40, 7.73s/it] 65%|██████▍ | 22/34 [02:55<01:33, 7.77s/it] 68%|██████▊ | 23/34 [03:03<01:27, 7.98s/it] 71%|███████ | 24/34 [03:11<01:20, 8.04s/it] 74%|███████▎ | 25/34 [03:20<01:14, 8.26s/it] 76%|███████▋ | 26/34 [03:28<01:05, 8.19s/it] 79%|███████▉ | 27/34 [03:35<00:53, 7.70s/it] 82%|████████▏ | 28/34 [03:44<00:48, 8.08s/it] 85%|████████▌ | 29/34 [03:52<00:40, 8.17s/it] 88%|████████▊ | 30/34 [04:01<00:33, 8.31s/it] 88%|████████▊ | 30/34 [04:01<00:33, 8.31s/it] 91%|█████████ | 31/34 [04:08<00:24, 8.09s/it] 94%|█████████▍| 32/34 [04:16<00:15, 7.91s/it] 97%|█████████▋| 33/34 [04:23<00:07, 7.84s/it] 100%|██████████| 34/34 [04:31<00:00, 7.86s/it][INFO|trainer.py:1823] 2026-07-16 01:34:40,283 >> + +Training completed. Do not forget to share your model on huggingface.co/models =) + + + 100%|██████████| 34/34 [04:31<00:00, 7.86s/it] 100%|██████████| 34/34 [04:31<00:00, 7.99s/it] +[INFO|trainer.py:3815] 2026-07-16 01:34:40,298 >> Saving model checkpoint to /home/ll/llm4rec/experiments/outputs/v45_v29_clean_r3_domainmix_lr55e7_ep045 +[INFO|configuration_utils.py:533] 2026-07-16 01:34:40,299 >> Configuration saved in /home/ll/llm4rec/experiments/outputs/v45_v29_clean_r3_domainmix_lr55e7_ep045/config.json +[INFO|configuration_utils.py:816] 2026-07-16 01:34:40,299 >> Configuration saved in /home/ll/llm4rec/experiments/outputs/v45_v29_clean_r3_domainmix_lr55e7_ep045/generation_config.json +{'loss': '2.24', 'grad_norm': '18.88', 'learning_rate': '4.876e-07', 'epoch': '0.1347'} +{'loss': '2.277', 'grad_norm': '7.656', 'learning_rate': '2.48e-07', 'epoch': '0.2694'} +{'loss': '2.081', 'grad_norm': '8.5', 'learning_rate': '3.247e-08', 'epoch': '0.404'} +{'train_runtime': '271.8', 'train_samples_per_second': '0.492', 'train_steps_per_second': '0.125', 'train_loss': '2.228', 'epoch': '0.4579'} + Writing model shards: 0%| | 0/1 [00:00> Model weights saved in /home/ll/llm4rec/experiments/outputs/v45_v29_clean_r3_domainmix_lr55e7_ep045/model.safetensors +[INFO|tokenization_utils_base.py:3278] 2026-07-16 01:34:41,285 >> chat template saved in /home/ll/llm4rec/experiments/outputs/v45_v29_clean_r3_domainmix_lr55e7_ep045/chat_template.jinja +[INFO|tokenization_utils_base.py:2111] 2026-07-16 01:34:41,308 >> tokenizer config file saved in /home/ll/llm4rec/experiments/outputs/v45_v29_clean_r3_domainmix_lr55e7_ep045/tokenizer_config.json +***** train metrics ***** + epoch = 0.4579 + total_flos = 15202906GF + train_loss = 2.2282 + train_runtime = 0:04:31.76 + train_samples_per_second = 0.492 + train_steps_per_second = 0.125 +Figure saved at: /home/ll/llm4rec/experiments/outputs/v45_v29_clean_r3_domainmix_lr55e7_ep045/training_loss.png +[WARNING|2026-07-16 01:34:41] llamafactory.extras.ploting:149 >> No metric eval_loss to plot. +[WARNING|2026-07-16 01:34:41] llamafactory.extras.ploting:149 >> No metric eval_accuracy to plot. +[INFO|modelcard.py:263] 2026-07-16 01:34:41,413 >> Dropping the following result as it does not have all the necessary fields: +{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}} diff --git a/train_results.json b/train_results.json new file mode 100644 index 0000000..a6fe1b2 --- /dev/null +++ b/train_results.json @@ -0,0 +1,8 @@ +{ + "epoch": 0.45791245791245794, + "total_flos": 1.6323997048246272e+16, + "train_loss": 2.228161503286923, + "train_runtime": 271.7669, + "train_samples_per_second": 0.492, + "train_steps_per_second": 0.125 +} \ No newline at end of file diff --git a/trainer_log.jsonl b/trainer_log.jsonl new file mode 100644 index 0000000..7a5c06b --- /dev/null +++ b/trainer_log.jsonl @@ -0,0 +1,4 @@ +{"current_steps": 10, "total_steps": 34, "loss": 2.2397235870361327, "lr": 4.875778746747527e-07, "epoch": 0.13468013468013468, 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