From c48b1a9c139d5fe5f6689644b4284d80fa642b71 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sun, 19 Jul 2026 04:10:09 +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/v36_v29_general_guard_lr4e7_ep12 Source: Original Platform --- .gitattributes | 36 + README.md | 58 + all_results.json | 8 + chat_template.jinja | 89 + config.json | 63 + experiment_recipe.json | 72 + generation_config.json | 12 + model.safetensors | 3 + ...52165.ubuntu-System-Product-Name.1381619.0 | 3 + tokenizer.json | 3 + tokenizer_config.json | 16 + train.log | 2257 +++++++++++++++++ train_results.json | 8 + trainer_log.jsonl | 65 + trainer_state.json | 491 ++++ training_args.bin | 3 + training_loss.png | Bin 0 -> 60671 bytes 17 files changed, 3187 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/Jul15_02-02-45_ubuntu-System-Product-Name/events.out.tfevents.1784052165.ubuntu-System-Product-Name.1381619.0 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 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..9a187a5 --- /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: v36_v29_general_guard_lr4e7_ep12 + results: [] +--- + + + +# v36_v29_general_guard_lr4e7_ep12 + +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_v36_general_guard 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: 4e-07 +- train_batch_size: 1 +- eval_batch_size: 8 +- seed: 202607186 +- 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: 1.2 + +### 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..f3c7bb5 --- /dev/null +++ b/all_results.json @@ -0,0 +1,8 @@ +{ + "epoch": 1.2000926354793886, + "total_flos": 3.10173216276566e+17, + "train_loss": 1.8869445338661288, + "train_runtime": 5074.5206, + "train_samples_per_second": 0.511, + "train_steps_per_second": 0.128 +} \ 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..d5f9252 --- /dev/null +++ b/experiment_recipe.json @@ -0,0 +1,72 @@ +{ + "created_at": "2026-07-15 00:59:15", + "name": "v36_v29_general_guard_lr4e7_ep12", + "base": "/home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018", + "dataset": "v36_general_guard", + "dataset_manifest": { + "name": "v36_general_guard", + "path": "/home/ll/llm4rec/experiments/data/v36_general_guard.jsonl", + "records": 80000, + "bytes": 322603609, + "sha256": "8aa50ef29b36de4764d1255110a3d1eba6c62e3eaa22636cd92f351cb59d72c2", + "requested_components": { + "general": 36000, + "r0": 12000, + "r3_think": 7000, + "r3_direct": 10000, + "old_rec": 6000, + "old_user": 4500, + "old_item": 4500 + }, + "groups": { + "general": 36000, + "r0": 12000, + "r3": 17000, + "old_item": 4500, + "old_user": 4500, + "old_rec": 6000 + }, + "variants": { + "official_general_cot": 17998, + "caption_to_sid_direct": 5982, + "profile_video/ad_cot": 1620, + "profile_video/video_cot": 2159, + "original_competition": 7355, + "profile_goods_direct": 2199, + "official_general_direct": 18002, + "profile_live_direct": 2330, + "profile_video/ad_direct": 2329, + "user_strict_logic": 645, + "sid_to_caption_cot": 2964, + "rec_no_think_direct_final": 2970, + "profile_video/video_direct": 3142, + "profile_live_cot": 1623, + "user_strict_array": 775, + "user_array_json_strict": 710, + "item_short_think": 779, + "sid_to_caption_direct": 3054, + "profile_goods_cot": 1598, + "user_extra_no_think_logic": 294, + "item_no_think_direct_final": 819, + "user_logic_json_strict": 653 + }, + "routes": { + "think": 34086, + "no_think": 45914 + }, + "target_leakage": 0, + "seed": 202607153 + }, + "learning_rate": "4.0e-7", + "epochs": 1.2, + "stages": null, + "note": "General-heavy replay explicitly targeting the world-score forgetting seen in v31-v33.", + "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_v34_v43.py", + "script_sha256": "fbf01773c61579cf6159f64442fc0c8902714c84ed23b488bc9a6236a154f402", + "configs": [ + "/home/ll/llm4rec/experiments/configs/v36_v29_general_guard_lr4e7_ep12.yaml" + ], + "reproduce": "/home/ll/llm4rec/demo/LLaMA-Factory/.venv/bin/python /home/ll/llm4rec/experiments/run_v34_v43.py --single v36_v29_general_guard_lr4e7_ep12 --gpu " +} \ No newline at end of file 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..c171295 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9bb0c47a381d89c19f0b9c266db9edac5df3bca3295f22da541b841e4382cafd +size 1602902832 diff --git a/runs/Jul15_02-02-45_ubuntu-System-Product-Name/events.out.tfevents.1784052165.ubuntu-System-Product-Name.1381619.0 b/runs/Jul15_02-02-45_ubuntu-System-Product-Name/events.out.tfevents.1784052165.ubuntu-System-Product-Name.1381619.0 new file mode 100644 index 0000000..112d14c --- /dev/null +++ b/runs/Jul15_02-02-45_ubuntu-System-Product-Name/events.out.tfevents.1784052165.ubuntu-System-Product-Name.1381619.0 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:35213f676413ac8aaee1d1e8fcce0cc81b49c6cf87d9543501316ac5165eaf29 +size 19758 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..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..f820626 --- /dev/null +++ b/train.log @@ -0,0 +1,2257 @@ +[2026-07-15 02:02:14] stage 1/1: /home/ll/llm4rec/experiments/configs/v36_v29_general_guard_lr4e7_ep12.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|2026-07-15 02:02:16] 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] 2026-07-15 02:02:16,854 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-15 02:02:16,857 >> 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] 2026-07-15 02:02:17,512 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-15 02:02:17,512 >> 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] 2026-07-15 02:02:17,512 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-15 02:02:17,513 >> 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|2026-07-15 02:02:18] llamafactory.data.loader:144 >> Loading dataset /home/ll/llm4rec/experiments/data/v36_general_guard.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: 26125 examples [00:00, 225198.05 examples/s] Generating train split: 57525 examples [00:00, 254038.76 examples/s] Generating train split: 80000 examples [00:00, 261111.18 examples/s] + Converting format of dataset (num_proc=16): 0%| | 0/80000 [00:00user +【用户交互历史】： +【2025-04-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-04-27】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-04】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-11】 + --:-- [直播-打赏] <|living_begin|> +【2025-05-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-19】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-21】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-23】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-26】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-05-28】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-29】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-09】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-12】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-10-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-03】 + --:-- [直播-关注] <|living_begin|> +【2025-11-04】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] 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--:-- [直播-关注] <|living_begin|> +【2025-11-29】 + --:-- [直播-关注] <|living_begin|> +【2025-12-03】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-05】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-09】 + --:-- [直播-关注] <|living_begin|> +【2025-12-10】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-11】 + --:-- [直播-关注] <|living_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|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-16】 + --:-- [直播-关注] <|living_begin|> +【2025-12-19】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-20】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-21】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-24】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-31】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-04】 + 10:18 [广告-深度转化] <|ad_begin|> + 10:18 [广告-深度转化] <|ad_begin|> + 10:21 [广告-深度转化] <|ad_begin|> + 10:35 [广告-深度转化] <|ad_begin|> +【2026-01-05】 + 03:11 [广告-深度转化] <|ad_begin|> + 03:13 [广告-深度转化] <|ad_begin|> + 03:14 [广告-深度转化] <|ad_begin|> + 03:15 [广告-深度转化] <|ad_begin|> + 03:18 [广告-深度转化] <|ad_begin|> + 03:18 [广告-深度转化] <|ad_begin|> + 07:31 [广告-深度转化] <|ad_begin|> +【2026-01-06】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + 01:43 [广告-深度转化] <|ad_begin|> + 06:43 [广告-深度转化] <|ad_begin|> + 07:45 [广告-深度转化] <|ad_begin|> +【2026-01-07】 + --:-- [商品-购买] <|prod_begin|> + 09:19 [广告-深度转化] <|ad_begin|> + 12:10 [广告-深度转化] <|ad_begin|> +【2026-01-08】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 04:50 [广告-深度转化] <|ad_begin|> + 04:52 [广告-深度转化] <|ad_begin|> + 04:52 [广告-深度转化] <|ad_begin|> + 07:30 [广告-深度转化] <|ad_begin|> + 07:30 [广告-深度转化] <|ad_begin|> + 08:59 [广告-深度转化] <|ad_begin|> +【2026-01-09】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2026-01-10】 + --:-- [直播-关注] <|living_begin|> + --:-- 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03:38 [视频-关注/长播] <|video_begin|> + 03:44 [视频-转发/长播] <|video_begin|> + 03:49 [视频-点赞/长播] <|video_begin|> + 03:49 [视频-关注/长播] <|video_begin|> + 04:04 [视频-关注/长播] <|video_begin|> + 04:11 [广告-深度转化] <|ad_begin|> + 04:11 [广告-点击] <|ad_begin|> + 04:11 [广告-点击] <|ad_begin|> + 04:26 [广告-深度转化] <|ad_begin|> + 04:26 [广告-点击] <|ad_begin|> + 04:27 [广告-深度转化] <|ad_begin|> + 04:27 [广告-点击] <|ad_begin|> + 04:27 [广告-点击] <|ad_begin|> + 04:28 [视频-关注/长播] <|video_begin|> + 04:33 [视频-关注/长播] <|video_begin|> + 04:33 [视频-关注/点赞/长播] <|video_begin|> + 04:37 [广告-点击] <|ad_begin|> + 04:53 [视频-点赞/长播] <|video_begin|> + 04:54 [视频-收藏/长播] <|video_begin|> + 05:04 [视频-关注/长播] <|video_begin|> + 09:25 [视频-关注/点赞/长播] <|video_begin|> + 09:34 [视频-收藏/点赞/长播] <|video_begin|> +【2026-01-28】 + 03:40 [广告-深度转化] <|ad_begin|> + 03:40 [广告-点击] <|ad_begin|> + 03:41 [广告-点击] <|ad_begin|> + 04:17 [视频-点赞/长播] <|video_begin|> + 04:19 [广告-深度转化] <|ad_begin|> + 04:19 [广告-点击] <|ad_begin|> + 04:20 [广告-深度转化] <|ad_begin|> + 04:20 [广告-点击] <|ad_begin|> + 04:21 [广告-点击] <|ad_begin|> + 04:24 [广告-深度转化] <|ad_begin|> + 04:24 [广告-点击] <|ad_begin|> + 05:47 [广告-深度转化] <|ad_begin|> + 05:47 [广告-点击] <|ad_begin|> + 05:47 [广告-点击] <|ad_begin|> + 08:48 [视频-关注/转发/长播] <|video_begin|> + 09:50 [广告-点击] <|ad_begin|> + 11:03 [广告-深度转化] <|ad_begin|> + 11:03 [广告-点击] <|ad_begin|> +【2026-01-29】 + 01:32 [视频-点赞/长播] <|video_begin|> + 02:00 [视频-点赞/长播] <|video_begin|> + 10:38 [广告-点击] <|ad_begin|> +【2026-01-30】 + --:-- [直播-关注] <|living_begin|> + 06:58 [视频-点赞/长播] <|video_begin|> +【2026-01-31】 + 01:08 [广告-点击] <|ad_begin|> + 04:11 [广告-点击] <|ad_begin|> + 04:18 [广告-深度转化] <|ad_begin|> + 04:18 [广告-点击] <|ad_begin|> + 04:36 [广告-点击] <|ad_begin|> + 06:09 [广告-点击] <|ad_begin|> + 23:31 [视频-点赞/长播] <|video_begin|> +【2026-02-01】 + 00:35 [广告-点击] <|ad_begin|> + 00:38 [广告-点击] <|ad_begin|> + 00:40 [广告-点击] <|ad_begin|> + 02:51 [广告-深度转化] <|ad_begin|> + 02:51 [广告-点击] <|ad_begin|> + 02:51 [广告-点击] <|ad_begin|> + 04:18 [广告-点击] <|ad_begin|> + 04:43 [广告-点击] <|ad_begin|> + 04:45 [广告-点击] <|ad_begin|> + 05:09 [广告-点击] <|ad_begin|> + 09:12 [广告-点击] <|ad_begin|> + 10:57 [广告-深度转化] <|ad_begin|> + 10:57 [广告-点击] <|ad_begin|> + 23:57 [视频-点赞/长播] <|video_begin|> +【2026-02-02】 + 00:14 [广告-点击] <|ad_begin|> + 01:33 [视频-点赞/长播] <|video_begin|> + --:-- [商品-购买] <|prod_begin|> + 09:28 [视频-长播] <|video_begin|> + 23:58 [视频-长播] <|video_begin|> +【2026-02-03】 + 00:05 [视频-长播] <|video_begin|> + 00:33 [视频-长播] <|video_begin|> + 00:33 [视频-点赞/长播] <|video_begin|> + 00:34 [视频-长播] <|video_begin|> + 01:21 [视频-长播] <|video_begin|> + 01:53 [视频-转发/长播] <|video_begin|> + 02:00 [视频-长播] <|video_begin|> + 02:00 [视频-长播] <|video_begin|> + 03:19 [视频-收藏/长播] <|video_begin|> + 03:27 [视频-收藏/长播] <|video_begin|> + 03:32 [视频-长播] <|video_begin|> + 03:37 [视频-长播] <|video_begin|> + 03:42 [视频-长播] <|video_begin|> + 04:15 [视频-点赞/长播] <|video_begin|> + 04:38 [广告-深度转化] <|ad_begin|> + 04:38 [广告-点击] <|ad_begin|> + 04:58 [视频-长播] <|video_begin|> + 04:58 [视频-长播] <|video_begin|> + 04:58 [视频-长播] <|video_begin|> + 07:22 [广告-深度转化] <|ad_begin|> + 07:22 [广告-点击] <|ad_begin|> + 07:23 [广告-点击] <|ad_begin|> + 07:24 [视频-长播] <|video_begin|> + 07:24 [视频-长播] <|video_begin|> + 23:38 [视频-长播] <|video_begin|> + 23:38 [视频-长播] <|video_begin|> + 23:45 [视频-长播] <|video_begin|> + 23:46 [视频-长播] <|video_begin|> + 23:51 [广告-点击] <|ad_begin|> + 23:56 [视频-长播] <|video_begin|> + 23:56 [视频-长播] <|video_begin|> +【2026-02-04】 + 00:09 [视频-长播] <|video_begin|> + 03:26 [视频-长播] <|video_begin|> + 03:26 [视频-长播] <|video_begin|> + 03:36 [广告-点击] <|ad_begin|> + 03:37 [广告-深度转化] <|ad_begin|> + 03:37 [广告-点击] <|ad_begin|> + 03:44 [视频-长播] <|video_begin|> + 04:24 [广告-点击] <|ad_begin|> + 05:06 [视频-长播] <|video_begin|> + 05:09 [广告-深度转化] <|ad_begin|> + 05:09 [广告-点击] <|ad_begin|> + 05:10 [广告-深度转化] <|ad_begin|> + 05:10 [广告-点击] <|ad_begin|> + 05:10 [广告-点击] <|ad_begin|> + 05:43 [视频-收藏/点赞/长播] <|video_begin|> + 05:46 [视频-长播] <|video_begin|> + 05:46 [视频-长播] <|video_begin|> + 08:59 [广告-点击] <|ad_begin|> + 09:00 [视频-点赞/长播] <|video_begin|> + 09:07 [视频-关注/点赞/长播] <|video_begin|> + 09:15 [视频-长播] <|video_begin|> + 09:15 [视频-收藏/点赞/长播] <|video_begin|> + 09:16 [视频-关注/点赞/长播] <|video_begin|> + 23:32 [视频-长播] <|video_begin|> + 23:33 [视频-长播] <|video_begin|> +【2026-02-05】 + 00:10 [视频-长播] <|video_begin|> + 00:10 [视频-点赞/长播] <|video_begin|> + 00:14 [视频-长播] <|video_begin|> + 00:16 [视频-长播] <|video_begin|> + 01:08 [视频-长播] <|video_begin|> + 01:08 [视频-长播] <|video_begin|> + 01:11 [视频-长播] <|video_begin|> + 01:29 [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-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|> + 03:11 [广告-点击] <|ad_begin|> + 03:31 [视频-收藏/长播] <|video_begin|> + 03:35 [视频-点赞/长播] <|video_begin|> + 03:39 [视频-收藏/点赞/长播] <|video_begin|> + 04:00 [视频-长播] <|video_begin|> + 04:47 [视频-长播] <|video_begin|> + 04:53 [视频-长播] <|video_begin|> + 04:54 [视频-长播] <|video_begin|> + 04:54 [视频-长播] <|video_begin|> + 04:54 [视频-长播] <|video_begin|> + 05:02 [视频-长播] <|video_begin|> + 06:17 [广告-点击] <|ad_begin|> + 06:18 [广告-深度转化] <|ad_begin|> + 06:18 [广告-点击] <|ad_begin|> + 06:19 [广告-深度转化] <|ad_begin|> + 06:19 [广告-点击] <|ad_begin|> + 06:20 [广告-深度转化] <|ad_begin|> + 06:20 [广告-点击] <|ad_begin|> + 06:20 [广告-点击] <|ad_begin|> + 08:11 [视频-评论/收藏/长播] <|video_begin|> + 08:22 [视频-长播] <|video_begin|> + 08:33 [视频-长播] <|video_begin|> + 08:43 [视频-长播] <|video_begin|> + 08:51 [视频-长播] <|video_begin|> + 08:59 [广告-深度转化] <|ad_begin|> + 08:59 [广告-点击] <|ad_begin|> + 11:43 [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|> + --:-- [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|> +角色任务：你是一位极端严苛的用户行为数据挖掘专家兼数据格式化专家，请依托以上用户交互历史，针对指定主题提炼具有递进逻辑与内部关联的交互行为逻辑链。 +交互行为类型（固定格式严禁更改）： 直播-关注、直播-首次打赏、商品-点击、商品-购买、搜索-搜索、视频-浏览、视频-长播、广告-点击、广告-深度转化 +核心判定逻辑（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 是因为 交互 A 产生的副作用或新需求，或者 A 是 B 的诱因。 +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。 +请针对以下主题提取行为逻辑链： +主题：围绕“便秘”问题的多路径食疗方案探索与验证 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "围绕“便秘”问题的多路径食疗方案探索与验证", + "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":"围绕“便秘”问题的多路径食疗方案探索与验证","events":[{"date":"2025-06-26","action":"[商品-购买] <|prod_begin|>","logic":"问题识别与初始行动：首次购买针对性产品“便秘果”，标志着用户明确了健康问题并开始寻求解决方案。"},{"date":"2026-01-22","action":"[视频-转发/收藏/点赞/长播] <|video_begin|>","logic":"信息获取与方案拓展：用户通过高强度互动（转发/收藏/点赞）学习新的食疗偏方（紫皮洋葱），表明初始方案可能未达预期，用户开始主动搜集更多元的非药物解决方案，认知从“购买成品”拓展到“自制偏方”。"},{"date":"2026-01-23","action":"[视频-收藏/长播] <|video_begin|>","logic":"方案深化与对比筛选：在前一天的基础上，继续收藏新的、操作方式完全不同的解决方案（大蒜外敷）。这表明用户正在密集对比和评估不同方法的有效性，从“食疗内服”拓展到“物理外敷”，探索路径进一步深化。"},{"date":"2026-01-27","action":"[视频-收藏/点赞/长播] <|video_begin|>","logic":"认知闭环与决策收敛：用户收藏了一个对“病因”进行分析（气血不通、经络淤堵）并提供“独家秘方”的视频。这标志着用户的认知从简单的“尝试偏方”升级到对“病理机制”的探究，并可能找到了一个自认为更根本的解决方案，形成了初步的认知闭环。"}]}}<|im_end|> +<|im_start|>user +【用户交互历史】： +【2025-02-17】 + --:-- [直播-关注] <|living_begin|> +【2025-02-28】 + --:-- [直播-关注] <|living_begin|> +【2025-03-03】 + --:-- [直播-关注] <|living_begin|> +【2025-03-10】 + --:-- [直播-关注] <|living_begin|> +【2025-05-10】 + --:-- [直播-关注] <|living_begin|> +【2025-05-12】 + --:-- [直播-关注] <|living_begin|> +【2025-05-17】 + --:-- [直播-关注] <|living_begin|> +【2025-06-23】 + --:-- [直播-关注] <|living_begin|> +【2025-07-01】 + --:-- [直播-打赏] <|living_begin|> +【2025-07-04】 + --:-- [直播-关注] <|living_begin|> +【2025-07-05】 + --:-- [直播-关注] <|living_begin|> +【2025-07-06】 + --:-- [直播-关注] <|living_begin|> +【2025-07-09】 + --:-- [直播-关注] <|living_begin|> +【2025-07-10】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-07-19】 + --:-- [直播-关注] <|living_begin|> +【2025-07-22】 + --:-- [直播-关注] <|living_begin|> +【2025-08-04】 + --:-- [直播-关注] <|living_begin|> +【2025-08-08】 + --:-- [直播-关注] <|living_begin|> +【2025-08-14】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-08-20】 + --:-- [直播-关注] <|living_begin|> +【2025-08-23】 + --:-- [直播-关注] <|living_begin|> +【2025-08-24】 + --:-- [直播-关注] <|living_begin|> +【2025-08-25】 + --:-- [直播-关注] <|living_begin|> +【2025-08-27】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-28】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-08-30】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-01】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-02】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-04】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-05】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-07】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-08】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-09】 + --:-- [直播-关注] <|living_begin|> +【2025-09-10】 + --:-- [直播-关注] <|living_begin|> +【2025-09-11】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-13】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-14】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-16】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-09-21】 + --:-- [直播-关注] <|living_begin|> +【2025-09-22】 + --:-- [直播-关注] <|living_begin|> +【2025-10-03】 + --:-- [商品-点击] <|prod_begin|> +【2025-10-04】 + --:-- [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|> +【2025-10-05】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-06】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_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|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-08】 + --:-- [商品-点击] <|prod_begin|> +【2025-10-09】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-11】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-20】 + --:-- [直播-关注] <|living_begin|> +【2025-10-26】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-21】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-11】 + --:-- [直播-关注] <|living_begin|> +【2025-12-12】 + --:-- [直播-关注] <|living_begin|> +【2025-12-13】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-16】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-19】 + --:-- [直播-关注] <|living_begin|> +【2025-12-23】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-25】 + --:-- [直播-关注] <|living_begin|> +【2025-12-26】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-27】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-01】 + --:-- [直播-关注] <|living_begin|> + 21:58 [广告-深度转化] <|ad_begin|> +【2026-01-02】 + 19:33 [广告-深度转化] <|ad_begin|> +【2026-01-03】 + 06:46 [广告-深度转化] <|ad_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-04】 + 05:03 [广告-深度转化] <|ad_begin|> + 05:30 [广告-深度转化] <|ad_begin|> + 07:54 [广告-深度转化] <|ad_begin|> + 11:35 [广告-深度转化] <|ad_begin|> + 22:57 [广告-深度转化] <|ad_begin|> +【2026-01-05】 + 01:01 [广告-深度转化] <|ad_begin|> + 01:03 [广告-深度转化] <|ad_begin|> + 01:36 [广告-深度转化] <|ad_begin|> + 07:37 [广告-深度转化] <|ad_begin|> + 08:08 [广告-深度转化] <|ad_begin|> + 08:12 [广告-深度转化] <|ad_begin|> + 10:01 [广告-深度转化] <|ad_begin|> + 10:01 [广告-深度转化] <|ad_begin|> + 11:06 [广告-深度转化] <|ad_begin|> +【2026-01-06】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 10:18 [广告-深度转化] <|ad_begin|> + 10:23 [广告-深度转化] <|ad_begin|> + 18:15 [广告-深度转化] <|ad_begin|> + 21:56 [广告-深度转化] <|ad_begin|> + 22:26 [广告-深度转化] <|ad_begin|> +【2026-01-07】 + 06:59 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 09:49 [广告-深度转化] <|ad_begin|> +【2026-01-08】 + --:-- [商品-点击] <|prod_begin|> + 10:45 [广告-深度转化] <|ad_begin|> + 21:50 [广告-深度转化] <|ad_begin|> +【2026-01-09】 + 05:40 [广告-深度转化] <|ad_begin|> +【2026-01-10】 + 05:07 [广告-深度转化] <|ad_begin|> + 22:32 [广告-深度转化] <|ad_begin|> + 22:32 [广告-深度转化] <|ad_begin|> + 22:36 [广告-深度转化] <|ad_begin|> +【2026-01-11】 + 03:40 [广告-深度转化] <|ad_begin|> + 08:00 [广告-深度转化] <|ad_begin|> + 08:03 [广告-深度转化] <|ad_begin|> + 20:32 [广告-深度转化] <|ad_begin|> + 20:32 [广告-深度转化] <|ad_begin|> + 20:33 [广告-深度转化] <|ad_begin|> +【2026-01-12】 + 07:08 [广告-深度转化] <|ad_begin|> + 22:53 [广告-深度转化] <|ad_begin|> +【2026-01-13】 + 05:45 [广告-深度转化] <|ad_begin|> +【2026-01-14】 + 05:43 [广告-深度转化] <|ad_begin|> + 05:43 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 10:38 [广告-深度转化] <|ad_begin|> + 10:59 [广告-深度转化] <|ad_begin|> + 11:12 [广告-深度转化] <|ad_begin|> + 21:11 [广告-深度转化] <|ad_begin|> + 21:18 [广告-深度转化] <|ad_begin|> + 21:19 [广告-深度转化] <|ad_begin|> +【2026-01-15】 + 10:35 [广告-深度转化] <|ad_begin|> + 10:35 [广告-深度转化] <|ad_begin|> + 10:38 [广告-深度转化] <|ad_begin|> + 10:38 [广告-深度转化] <|ad_begin|> + 10:38 [广告-深度转化] <|ad_begin|> + 10:40 [广告-深度转化] <|ad_begin|> + 10:40 [广告-深度转化] <|ad_begin|> + 10:40 [广告-深度转化] <|ad_begin|> + 10:54 [广告-深度转化] <|ad_begin|> +【2026-01-19】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-20】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 20:37 [广告-深度转化] <|ad_begin|> +【2026-01-21】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-22】 + 10:32 [广告-深度转化] <|ad_begin|> +【2026-01-23】 + 00:32 [视频-浏览] <|video_begin|> + 00:46 [视频-关注/评论/点赞/长播] <|video_begin|> + 04:21 [视频-关注/评论/点赞/长播] <|video_begin|> + 08:36 [视频-评论/长播] <|video_begin|> + 22:44 [视频-点赞/长播] <|video_begin|> +【2026-01-24】 + 03:31 [视频-关注/评论/点赞/长播] <|video_begin|> + 12:21 [视频-关注/长播] <|video_begin|> +【2026-01-25】 + 00:05 [视频-关注/长播] <|video_begin|> + 00:35 [视频-关注/点赞/长播] <|video_begin|> + 02:18 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-31】 + 16:35 [广告-深度转化] <|ad_begin|> + 20:52 [广告-深度转化] <|ad_begin|> +【2026-02-01】 + 12:19 [视频-点赞/长播] <|video_begin|> + 21:16 [广告-深度转化] <|ad_begin|> + 21:21 [广告-深度转化] <|ad_begin|> +【2026-02-02】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 01:38 [视频-关注/评论/点赞/长播] <|video_begin|> + 01:42 [视频-关注/点赞/长播] <|video_begin|> + 01:42 [视频-关注/点赞/长播] <|video_begin|> + 01:50 [视频-关注/长播] <|video_begin|> + 02:08 [视频-关注/评论/点赞/长播] <|video_begin|> + 02:08 [视频-关注/点赞/长播] <|video_begin|> + 02:42 [视频-关注/评论/点赞/长播] <|video_begin|> + 02:42 [视频-关注/评论/点赞/长播] <|video_begin|> + 02:49 [视频-关注/评论/点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 11:22 [广告-点击] <|ad_begin|> + 11:23 [视频-关注/评论/点赞/长播] <|video_begin|> + 11:23 [视频-关注/评论/点赞/长播] <|video_begin|> + 11:23 [视频-关注/评论/点赞/长播] <|video_begin|> + 11:31 [视频-关注/评论/点赞/长播] <|video_begin|> + 11:31 [视频-关注/点赞/长播] <|video_begin|> + 12:05 [视频-长播] <|video_begin|> + 12:14 [广告-点击] <|ad_begin|> + 12:22 [广告-点击] <|ad_begin|> + 12:22 [视频-长播] <|video_begin|> + 12:22 [视频-评论/长播] <|video_begin|> + 12:22 [视频-关注/转发/评论/点赞/长播] <|video_begin|> + 21:12 [广告-点击] <|ad_begin|> + 21:14 [广告-点击] <|ad_begin|> + 21:14 [广告-点击] <|ad_begin|> + 21:14 [广告-点击] <|ad_begin|> + 21:14 [广告-点击] <|ad_begin|> + 21:16 [广告-点击] <|ad_begin|> + 21:16 [广告-深度转化] <|ad_begin|> + 21:16 [广告-点击] <|ad_begin|> + 21:16 [广告-点击] <|ad_begin|> + 21:16 [广告-点击] <|ad_begin|> + 21:16 [广告-点击] <|ad_begin|> + 21:18 [广告-深度转化] <|ad_begin|> + 21:18 [广告-点击] <|ad_begin|> + 21:23 [广告-点击] <|ad_begin|> + 21:25 [广告-点击] <|ad_begin|> +【2026-02-03】 + 01:25 [视频-长播] <|video_begin|> + 01:25 [视频-关注/点赞/长播] <|video_begin|> + 01:35 [视频-长播] <|video_begin|> + 03:06 [视频-长播] <|video_begin|> + 03:06 [视频-长播] <|video_begin|> + 03:06 [视频-长播] <|video_begin|> + 03:15 [视频-长播] <|video_begin|> + 03:15 [视频-长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 10:16 [视频-长播] <|video_begin|> + 10:35 [视频-长播] <|video_begin|> + 10:35 [视频-长播] <|video_begin|> + 11:19 [视频-长播] <|video_begin|> + 11:19 [视频-长播] <|video_begin|> + 11:19 [视频-长播] <|video_begin|> + 21:46 [广告-点击] <|ad_begin|> + 21:48 [广告-点击] <|ad_begin|> + 21:49 [广告-点击] <|ad_begin|> + 21:50 [广告-点击] <|ad_begin|> + 21:51 [广告-点击] <|ad_begin|> + 21:52 [广告-点击] <|ad_begin|> + 21:53 [广告-点击] <|ad_begin|> + 21:55 [广告-点击] <|ad_begin|> + 21:55 [广告-点击] <|ad_begin|> + 21:59 [广告-点击] <|ad_begin|> + 22:00 [广告-点击] <|ad_begin|> + 22:29 [广告-点击] <|ad_begin|> +【2026-02-04】 + --:-- [直播-关注] <|living_begin|> + 03:37 [视频-长播] <|video_begin|> + 03:37 [视频-长播] <|video_begin|> + 03:37 [视频-长播] <|video_begin|> + 03:48 [视频-关注/评论/点赞/长播] <|video_begin|> + 03:48 [视频-关注/评论/点赞/长播] <|video_begin|> + 06:21 [视频-长播] <|video_begin|> + 06:21 [视频-长播] <|video_begin|> + 06:21 [视频-长播] <|video_begin|> + 06:21 [视频-长播] <|video_begin|> + 06:56 [视频-关注/评论/点赞/长播] <|video_begin|> + 06:56 [视频-关注/点赞/长播] <|video_begin|> + 08:55 [广告-点击] <|ad_begin|> + 09:36 [广告-点击] <|ad_begin|> + 09:36 [广告-点击] <|ad_begin|> + 09:39 [广告-深度转化] <|ad_begin|> + 09:39 [广告-点击] <|ad_begin|> + 09:40 [广告-点击] <|ad_begin|> + 09:41 [广告-点击] <|ad_begin|> + 09:41 [广告-点击] <|ad_begin|> + 09:41 [广告-点击] <|ad_begin|> + 09:43 [广告-点击] <|ad_begin|> + 09:43 [广告-点击] <|ad_begin|> + 09:44 [广告-点击] <|ad_begin|> + 09:46 [广告-点击] <|ad_begin|> + 09:47 [广告-点击] <|ad_begin|> + 09:49 [广告-点击] <|ad_begin|> + 09:53 [广告-点击] <|ad_begin|> + 09:54 [广告-点击] <|ad_begin|> + 09:56 [广告-点击] <|ad_begin|> + 09:56 [广告-点击] <|ad_begin|> + 09:56 [广告-点击] <|ad_begin|> + 09:56 [广告-点击] <|ad_begin|> + 09:57 [视频-长播] <|video_begin|> + 09:57 [视频-长播] <|video_begin|> + 09:57 [视频-长播] <|video_begin|> + 10:01 [视频-点赞/长播] <|video_begin|> + 10:01 [视频-关注/长播] <|video_begin|> + 11:56 [广告-点击] <|ad_begin|> + 11:58 [视频-长播] <|video_begin|> + 22:13 [视频-长播] <|video_begin|> + 22:13 [视频-长播] <|video_begin|> + 22:13 [视频-长播] <|video_begin|> + 22:26 [视频-长播] <|video_begin|> + 22:26 [视频-关注/评论/长播] <|video_begin|> + 23:03 [视频-关注/长播] <|video_begin|> +【2026-02-05】 + 00:51 [视频-长播] <|video_begin|> + 00:54 [视频-长播] <|video_begin|> + 02:14 [视频-长播] <|video_begin|> + 03:02 [广告-点击] <|ad_begin|> + 03:03 [广告-点击] <|ad_begin|> + 03:32 [广告-点击] <|ad_begin|> + 03:35 [广告-点击] <|ad_begin|> + 04:09 [广告-点击] <|ad_begin|> + 04:09 [广告-深度转化] <|ad_begin|> + 04:09 [广告-点击] <|ad_begin|> + 04:11 [广告-点击] <|ad_begin|> + 04:12 [广告-点击] <|ad_begin|> + 04:14 [广告-点击] <|ad_begin|> + 04:15 [广告-点击] <|ad_begin|> + 04:15 [广告-点击] <|ad_begin|> + 04:17 [广告-点击] <|ad_begin|> + 04:30 [广告-点击] <|ad_begin|> + 04:30 [广告-点击] <|ad_begin|> + 04:33 [广告-点击] <|ad_begin|> + 04:34 [广告-点击] <|ad_begin|> + 04:36 [视频-长播] <|video_begin|> + 04:36 [视频-长播] <|video_begin|> + 04:36 [视频-长播] <|video_begin|> + 04:45 [视频-长播] <|video_begin|> + 04:54 [视频-长播] <|video_begin|> + 04:54 [视频-长播] <|video_begin|> + 04:54 [视频-长播] <|video_begin|> + 05:02 [视频-长播] <|video_begin|> + 05:02 [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|> + 07:22 [广告-点击] <|ad_begin|> + 07:23 [广告-点击] <|ad_begin|> + 08:06 [视频-长播] <|video_begin|> + 08:06 [视频-长播] <|video_begin|> + 09:52 [视频-长播] <|video_begin|> + 09:52 [视频-关注/长播] <|video_begin|> + 14:21 [视频-长播] <|video_begin|> + 14:34 [广告-点击] <|ad_begin|> + 14:35 [广告-深度转化] <|ad_begin|> + 14:35 [广告-点击] <|ad_begin|> + 14:35 [广告-深度转化] <|ad_begin|> + 14:35 [广告-点击] <|ad_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）： 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、广告-点击、广告-深度转化 +核心提取逻辑（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 必须在同一生活场景、主题类目下具有极强的需求补完关系。 +2.兴趣因果递进：交互 B 应是交互 A 带来的副作用需求或新增需求的结果，或者 A 对 B 具有明确诱发作用。 +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：从关注宏大叙事到聚焦个体民生的视角下沉 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "从关注宏大叙事到聚焦个体民生的视角下沉", + "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": "从关注宏大叙事到聚焦个体民生的视角下沉", "events": [{"date": "2026-01-23", "action": "[视频-浏览] <|video_begin|>", "logic": "初始兴趣点：关注国家级文化事件（春晚）及其争议，属于对公共议题和宏大叙事的典型关注。"}, {"date": "2026-02-02", "action": "[视频-关注/评论/点赞/长播] <|video_begin|>", "logic": "视角下沉：用户的关注点从宏观的文化事件，转向了具体的社会群体（农民）和民生议题（养老金）。这标志着其社会观察的视角开始下沉，从“旁观者”向“共情者”转变。"}, {"date": "2026-02-04", "action": "[视频-关注/评论/点赞/长播] <|video_begin|>", "logic": "认知闭环与批判性思考：用户将初始的宏大叙事（春晚）与后期的民生关怀（基层生活）联系起来，形成批判性视角。这不再是简单的信息接收，而是将两个不同层面的议题进行关联思考，完成了从“关注事件”到“反思事件背后社会价值”的认知跃迁。"}]}}<|im_end|> +<|im_start|>user +【用户交互历史】： +【2025-01-27】 + --:-- [直播-关注] <|living_begin|> +【2025-01-31】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-02-02】 + --:-- [直播-关注] <|living_begin|> +【2025-02-03】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-02-13】 + --:-- [直播-关注] <|living_begin|> +【2025-02-15】 + --:-- [直播-关注] <|living_begin|> +【2025-03-02】 + --:-- [直播-关注] <|living_begin|> +【2025-03-22】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-04-03】 + --:-- [直播-关注] <|living_begin|> +【2025-05-10】 + --:-- [直播-关注] <|living_begin|> +【2025-05-11】 + --:-- [直播-关注] <|living_begin|> +【2025-05-31】 + --:-- [直播-关注] <|living_begin|> +【2025-06-07】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-13】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-22】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-23】 + --:-- [直播-关注] <|living_begin|> +【2025-06-26】 + --:-- [直播-关注] <|living_begin|> +【2025-07-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-07-03】 + --:-- [直播-关注] <|living_begin|> +【2025-07-05】 + --:-- [直播-关注] <|living_begin|> +【2025-07-06】 + --:-- [直播-关注] <|living_begin|> +【2025-07-17】 + --:-- [直播-关注] <|living_begin|> +【2025-07-25】 + --:-- [直播-关注] <|living_begin|> +【2025-07-26】 + --:-- [直播-关注] <|living_begin|> +【2025-07-27】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-08-10】 + --:-- [直播-关注] <|living_begin|> +【2025-08-12】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-08-27】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-08-29】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-09-07】 + --:-- [直播-关注] <|living_begin|> +【2025-09-12】 + --:-- [直播-关注] <|living_begin|> +【2025-09-13】 + --:-- [直播-关注] <|living_begin|> +【2025-09-27】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-01】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-18】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-24】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-02】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-16】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-22】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-29】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-13】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-17】 + --:-- [商品-加购] <|prod_begin|> +【2025-12-18】 + --:-- [商品-加购] <|prod_begin|> +【2025-12-19】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-21】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-26】 + --:-- [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|> +【2025-12-27】 + --:-- [直播-关注] <|living_begin|> + 09:52 [广告-点击] <|ad_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-28】 + --:-- [商品-加购] <|prod_begin|> +【2025-12-30】 + --:-- [商品-加购] <|prod_begin|> +【2026-01-01】 + 04:54 [广告-深度转化] <|ad_begin|> + 04:54 [广告-点击] <|ad_begin|> +【2026-01-02】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-加购] <|prod_begin|> +【2026-01-03】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-09】 + 10:08 [广告-点击] <|ad_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 14:31 [广告-点击] <|ad_begin|> +【2026-01-10】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-加购] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-11】 + --:-- [直播-关注] <|living_begin|> + --:-- [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|> +【2026-01-18】 + 22:53 [广告-点击] <|ad_begin|> +【2026-01-23】 + 08:36 [视频-收藏/点赞/长播] <|video_begin|> + 08:36 [视频-关注/收藏/点赞/长播] <|video_begin|> + 08:42 [视频-收藏/点赞/长播] <|video_begin|> + 08:48 [视频-转发/收藏/点赞/长播] <|video_begin|> + 09:18 [视频-关注/收藏/点赞/长播] <|video_begin|> + 09:18 [视频-关注/点赞/长播] <|video_begin|> + 09:23 [视频-关注/收藏/点赞/长播] <|video_begin|> + 09:55 [视频-关注/点赞/长播] <|video_begin|> + 09:55 [视频-关注/点赞/长播] <|video_begin|> + 10:35 [视频-关注/点赞/长播] <|video_begin|> + 11:14 [视频-关注/点赞/长播] <|video_begin|> + 11:35 [视频-关注/点赞/长播] <|video_begin|> + 11:41 [视频-关注/点赞/长播] <|video_begin|> + 13:06 [视频-关注/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 13:38 [视频-关注/长播] <|video_begin|> +【2026-01-24】 + 04:32 [视频-关注/点赞/长播] <|video_begin|> + 06:03 [视频-关注/点赞/长播] <|video_begin|> + 06:05 [视频-关注/点赞/长播] <|video_begin|> + 06:29 [视频-收藏/点赞/长播] <|video_begin|> + 07:18 [视频-关注/点赞/长播] <|video_begin|> + 09:06 [视频-关注/收藏/点赞/长播] <|video_begin|> + 09:08 [视频-关注/点赞/长播] <|video_begin|> + 09:08 [视频-转发/长播] <|video_begin|> + 09:21 [视频-关注/点赞/长播] <|video_begin|> + 09:52 [视频-评论/长播] <|video_begin|> + 10:41 [视频-关注/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-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 14:09 [视频-关注/点赞/长播] <|video_begin|> + 14:20 [视频-关注/点赞/长播] <|video_begin|> + 14:48 [视频-关注/长播] <|video_begin|> + 14:48 [视频-收藏/长播] <|video_begin|> +【2026-01-25】 + 00:51 [视频-关注/点赞/长播] <|video_begin|> + 00:51 [视频-关注/点赞/长播] <|video_begin|> + 00:51 [视频-关注/点赞/长播] <|video_begin|> + 03:42 [视频-关注/点赞/长播] <|video_begin|> + 06:15 [视频-转发/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|> +【2026-01-30】 + 10:07 [视频-关注/点赞/长播] <|video_begin|> + 11:47 [视频-关注/点赞/长播] <|video_begin|> + 12:07 [视频-关注/点赞/长播] <|video_begin|> + 12:40 [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-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 20:21 [视频-关注/点赞/长播] <|video_begin|> + 20:51 [视频-关注/点赞/长播] <|video_begin|> + 20:51 [视频-关注/点赞/长播] <|video_begin|> + 22:51 [广告-点击] <|ad_begin|> + 23:18 [视频-关注/点赞/长播] <|video_begin|> +【2026-01-31】 + 01:25 [视频-关注/点赞/长播] <|video_begin|> + 03:27 [视频-收藏/点赞/长播] <|video_begin|> + 03:27 [视频-关注/点赞/长播] <|video_begin|> + 03:27 [视频-关注/点赞/长播] <|video_begin|> + 03:27 [视频-关注/长播] <|video_begin|> + 06:23 [广告-点击] <|ad_begin|> + 06:37 [视频-关注/长播] <|video_begin|> + 11:09 [视频-关注/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|> + 14:45 [广告-点击] <|ad_begin|> +【2026-02-01】 + 05:12 [视频-关注/点赞/长播] <|video_begin|> + 07:16 [视频-关注/点赞/长播] <|video_begin|> + 10:34 [视频-关注/点赞/长播] <|video_begin|> + 10:34 [视频-关注/点赞/长播] <|video_begin|> + 12:53 [视频-关注/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 15:33 [视频-关注/点赞/长播] <|video_begin|> + 16:23 [广告-点击] <|ad_begin|> + 18:23 [视频-关注/点赞/长播] <|video_begin|> + 18:30 [视频-收藏/长播] <|video_begin|> + 20:45 [视频-关注/点赞/长播] <|video_begin|> +【2026-02-02】 + 06:36 [视频-关注/长播] <|video_begin|> + 07:18 [视频-转发/点赞/长播] <|video_begin|> + 07:22 [视频-关注/点赞/长播] <|video_begin|> + 07:22 [视频-关注/长播] <|video_begin|> + 10:01 [视频-收藏/长播] <|video_begin|> + 10:06 [视频-关注/点赞/长播] <|video_begin|> + 13:33 [视频-关注/点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 14:56 [视频-评论/长播] <|video_begin|> + 15:16 [视频-转发/长播] <|video_begin|> + 15:30 [视频-关注/点赞/长播] <|video_begin|> +【2026-02-03】 + 00:51 [视频-长播] <|video_begin|> + 00:55 [视频-长播] <|video_begin|> + 00:55 [视频-长播] <|video_begin|> + 00:55 [视频-长播] <|video_begin|> + 04:08 [视频-关注/点赞/长播] <|video_begin|> + 04:08 [视频-长播] <|video_begin|> + 04:23 [视频-长播] <|video_begin|> + 04:31 [视频-长播] <|video_begin|> + 04:31 [视频-长播] <|video_begin|> + 04:31 [视频-长播] <|video_begin|> + 04:31 [视频-长播] <|video_begin|> + 04:31 [视频-长播] <|video_begin|> + 05:05 [视频-长播] <|video_begin|> + 05:05 [视频-长播] <|video_begin|> + 05:08 [视频-长播] <|video_begin|> + 05:08 [视频-长播] <|video_begin|> + 06:47 [视频-点赞/长播] <|video_begin|> + 06:50 [视频-点赞/长播] <|video_begin|> + 06:50 [视频-点赞/长播] <|video_begin|> + 06:52 [视频-点赞/长播] <|video_begin|> + 07:37 [视频-长播] <|video_begin|> + 07:48 [视频-点赞/长播] <|video_begin|> + 07:48 [视频-长播] <|video_begin|> + 07:48 [视频-长播] <|video_begin|> + 07:48 [视频-长播] <|video_begin|> + 10:00 [视频-长播] <|video_begin|> + 10:02 [视频-转发/点赞/长播] <|video_begin|> + 10:03 [视频-长播] <|video_begin|> + 10:04 [视频-点赞/长播] <|video_begin|> + 10:04 [视频-点赞/长播] <|video_begin|> + 10:07 [视频-点赞/长播] <|video_begin|> + 10:07 [视频-点赞/长播] <|video_begin|> + 10:07 [视频-点赞/长播] <|video_begin|> + 10:07 [视频-转发/点赞/长播] <|video_begin|> + 10:37 [视频-长播] <|video_begin|> + 10:37 [视频-长播] <|video_begin|> + 10:37 [视频-评论/长播] <|video_begin|> + 10:39 [视频-点赞/长播] <|video_begin|> + 10:39 [视频-长播] <|video_begin|> + 10:49 [视频-点赞/长播] <|video_begin|> + 10:49 [视频-点赞/长播] <|video_begin|> + 10:49 [视频-长播] <|video_begin|> + 10:55 [视频-点赞/长播] <|video_begin|> + 10:55 [视频-点赞/长播] <|video_begin|> + 10:55 [视频-长播] <|video_begin|> + 10:55 [视频-长播] <|video_begin|> + 12:01 [视频-点赞/长播] <|video_begin|> + 12:08 [视频-点赞/长播] <|video_begin|> + 12:08 [视频-长播] <|video_begin|> + 12:16 [视频-点赞/长播] <|video_begin|> + 12:19 [视频-长播] <|video_begin|> + 12:23 [视频-点赞/长播] <|video_begin|> + 12:23 [视频-长播] <|video_begin|> + 12:36 [视频-评论/长播] <|video_begin|> + 12:56 [视频-点赞/长播] <|video_begin|> + 12:56 [视频-关注/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 15:07 [视频-点赞/长播] <|video_begin|> +【2026-02-04】 + 00:20 [视频-长播] <|video_begin|> + 02:19 [视频-点赞/长播] <|video_begin|> + 02:19 [视频-点赞/长播] <|video_begin|> + 02:19 [视频-点赞/长播] <|video_begin|> + 02:19 [视频-关注/点赞/长播] <|video_begin|> + 02:19 [视频-长播] <|video_begin|> + 02:29 [视频-点赞/长播] <|video_begin|> + 02:29 [视频-点赞/长播] <|video_begin|> + 02:29 [视频-关注/点赞/长播] <|video_begin|> + 02:29 [视频-长播] <|video_begin|> + 04:56 [视频-点赞/长播] <|video_begin|> + 04:56 [视频-点赞/长播] <|video_begin|> + 04:56 [视频-长播] <|video_begin|> + 05:34 [视频-点赞/长播] <|video_begin|> + 05:34 [视频-长播] <|video_begin|> + 05:38 [视频-长播] <|video_begin|> + 05:38 [视频-长播] <|video_begin|> + 05:38 [视频-长播] <|video_begin|> + 05:38 [视频-长播] <|video_begin|> + 05:54 [视频-点赞/长播] <|video_begin|> + 06:09 [视频-关注/点赞/长播] <|video_begin|> + 06:09 [视频-长播] <|video_begin|> + 06:09 [视频-长播] <|video_begin|> + 06:09 [视频-评论/长播] <|video_begin|> + 06:34 [视频-点赞/长播] <|video_begin|> + 06:34 [视频-点赞/长播] <|video_begin|> + 06:34 [视频-点赞/长播] <|video_begin|> + 06:34 [视频-点赞/长播] <|video_begin|> + 06:34 [视频-关注/点赞/长播] <|video_begin|> + 06:47 [视频-点赞/长播] <|video_begin|> + 06:47 [视频-点赞/长播] <|video_begin|> + 06:47 [视频-点赞/长播] <|video_begin|> + 06:58 [视频-点赞/长播] <|video_begin|> + 06:58 [视频-点赞/长播] <|video_begin|> + 09:28 [视频-关注/点赞/长播] <|video_begin|> + 09:28 [视频-关注/点赞/长播] <|video_begin|> + 09:29 [视频-点赞/长播] <|video_begin|> + 09:29 [视频-关注/点赞/长播] <|video_begin|> + 09:29 [视频-长播] <|video_begin|> + 09:33 [视频-点赞/长播] <|video_begin|> + 09:33 [视频-点赞/长播] <|video_begin|> + 09:34 [视频-关注/点赞/长播] <|video_begin|> + 11:09 [视频-长播] <|video_begin|> + 11:09 [视频-长播] <|video_begin|> + 11:49 [视频-点赞/长播] <|video_begin|> + 11:49 [视频-点赞/长播] <|video_begin|> + 12:55 [视频-点赞/长播] <|video_begin|> + 12:55 [视频-长播] <|video_begin|> + 14:26 [视频-点赞/长播] <|video_begin|> + 14:26 [视频-长播] <|video_begin|> + 14:26 [视频-长播] <|video_begin|> + 14:38 [视频-长播] <|video_begin|> +【2026-02-05】 + 00:50 [视频-点赞/长播] <|video_begin|> + 05:35 [视频-长播] <|video_begin|> + 05:35 [视频-长播] <|video_begin|> + 09:46 [视频-点赞/长播] <|video_begin|> + 09:46 [视频-点赞/长播] <|video_begin|> + 15:40 [视频-点赞/长播] <|video_begin|> + +角色任务：作为一名极端严苛的用户行为数据挖掘与数据格式化专家，请根据上述用户交互历史，围绕指定主题，精准提取出所有相关的历史交互记录。 + +主题：从泛化潮流消费到聚焦特定品牌风格的认知收敛 + +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 + + +["<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|video_begin|>","<|video_begin|>","<|prod_begin|>","<|prod_begin|>","<|video_begin|>","<|video_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|video_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>"]<|im_end|> +<|im_start|>user +【用户交互历史】： +【2025-02-23】 + --:-- [直播-关注/打赏] <|living_begin|> +【2025-04-20】 + --:-- [商品-购买] <|prod_begin|> +【2025-04-21】 + --:-- [直播-打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-05-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-22】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-07】 + --:-- [直播-关注] <|living_begin|> +【2025-07-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-28】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-07-30】 + --:-- [直播-关注] <|living_begin|> +【2025-08-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-04】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-05】 + --:-- [直播-打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-08-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-07】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-10】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-08-12】 + --:-- [直播-关注] <|living_begin|> +【2025-08-13】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-14】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-08-15】 + --:-- [直播-打赏] <|living_begin|> +【2025-08-16】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-20】 + --:-- [直播-关注] <|living_begin|> +【2025-08-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-27】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-06】 + --:-- [直播-关注] <|living_begin|> +【2025-09-09】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-12】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-16】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-17】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-20】 + --:-- [直播-关注] <|living_begin|> +【2025-09-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-28】 + --:-- [直播-关注] <|living_begin|> +【2025-10-02】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-04】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-11】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-19】 + --:-- [直播-关注] <|living_begin|> +【2025-10-20】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-21】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-23】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-24】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-26】 + --:-- [直播-关注] <|living_begin|> +【2025-10-27】 + --:-- [直播-关注] <|living_begin|> +【2025-10-28】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-29】 + --:-- [直播-关注] <|living_begin|> +【2025-10-30】 + --:-- [直播-关注] <|living_begin|> +【2025-10-31】 + --:-- [直播-关注] <|living_begin|> +【2025-11-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-02】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> +【2025-11-05】 + --:-- [直播-关注] <|living_begin|> +【2025-11-07】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-11-08】 + --:-- [直播-关注] <|living_begin|> +【2025-11-16】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-17】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-20】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-29】 + --:-- [直播-关注] <|living_begin|> +【2025-12-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-02】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-03】 + --:-- [直播-关注] <|living_begin|> +【2025-12-05】 + --:-- [直播-关注] <|living_begin|> +【2025-12-07】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-09】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-10】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 11:39 [广告-深度转化] <|ad_begin|> +【2025-12-11】 + 08:57 [广告-深度转化] <|ad_begin|> +【2025-12-15】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-12-21】 + --:-- [直播-关注] <|living_begin|> + 03:43 [广告-点击] <|ad_begin|> +【2025-12-23】 + 04:21 [广告-深度转化] <|ad_begin|> + 04:21 [广告-点击] <|ad_begin|> +【2025-12-26】 + 05:14 [广告-深度转化] <|ad_begin|> + 05:14 [广告-点击] <|ad_begin|> +【2025-12-27】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-28】 + 08:21 [广告-点击] <|ad_begin|> + 08:23 [广告-深度转化] <|ad_begin|> + 08:23 [广告-点击] <|ad_begin|> + 08:23 [广告-深度转化] <|ad_begin|> + 08:23 [广告-点击] <|ad_begin|> + 08:24 [广告-深度转化] <|ad_begin|> + 08:24 [广告-点击] <|ad_begin|> + 08:24 [广告-深度转化] <|ad_begin|> + 08:24 [广告-点击] <|ad_begin|> + 08:37 [广告-深度转化] <|ad_begin|> + 08:37 [广告-点击] <|ad_begin|> + 08:37 [广告-深度转化] <|ad_begin|> + 08:37 [广告-点击] <|ad_begin|> + 08:38 [广告-深度转化] <|ad_begin|> + 08:38 [广告-点击] <|ad_begin|> + 08:38 [广告-深度转化] <|ad_begin|> + 08:38 [广告-点击] <|ad_begin|> + 08:38 [广告-点击] <|ad_begin|> + 09:20 [广告-深度转化] <|ad_begin|> + 09:20 [广告-点击] <|ad_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-29】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-30】 + --:-- [直播-关注] <|living_begin|> + 03:53 [广告-深度转化] <|ad_begin|> + 03:53 [广告-点击] <|ad_begin|> + 03:54 [广告-深度转化] <|ad_begin|> + 03:54 [广告-点击] <|ad_begin|> + 03:55 [广告-深度转化] <|ad_begin|> + 03:55 [广告-点击] <|ad_begin|> + 03:56 [广告-深度转化] <|ad_begin|> + 03:56 [广告-点击] <|ad_begin|> + 03:58 [广告-深度转化] <|ad_begin|> + 03:58 [广告-点击] <|ad_begin|> + 10:37 [广告-深度转化] <|ad_begin|> + 10:37 [广告-点击] <|ad_begin|> + 11:12 [广告-深度转化] <|ad_begin|> + 11:12 [广告-点击] <|ad_begin|> +【2025-12-31】 + 03:55 [广告-深度转化] <|ad_begin|> + 03:55 [广告-点击] <|ad_begin|> + 06:19 [广告-深度转化] <|ad_begin|> + 06:19 [广告-点击] <|ad_begin|> + 06:20 [广告-深度转化] <|ad_begin|> + 06:20 [广告-点击] <|ad_begin|> + 08:10 [广告-深度转化] <|ad_begin|> + 08:10 [广告-点击] <|ad_begin|> + 08:10 [广告-深度转化] <|ad_begin|> + 08:10 [广告-点击] <|ad_begin|> +【2026-01-02】 + 12:00 [广告-深度转化] <|ad_begin|> + 12:00 [广告-点击] <|ad_begin|> + 12:00 [广告-深度转化] <|ad_begin|> + 12:00 [广告-点击] <|ad_begin|> + 12:35 [广告-深度转化] <|ad_begin|> + 12:35 [广告-点击] <|ad_begin|> +【2026-01-04】 + 10:22 [广告-点击] <|ad_begin|> + 14:05 [广告-深度转化] <|ad_begin|> + 14:05 [广告-点击] <|ad_begin|> + 14:05 [广告-深度转化] <|ad_begin|> + 14:05 [广告-点击] <|ad_begin|> + 14:05 [广告-深度转化] <|ad_begin|> + 14:05 [广告-点击] <|ad_begin|> + 14:05 [广告-深度转化] <|ad_begin|> + 14:05 [广告-点击] <|ad_begin|> + 14:06 [广告-深度转化] <|ad_begin|> + 14:06 [广告-点击] <|ad_begin|> + 14:10 [广告-深度转化] <|ad_begin|> + 14:10 [广告-点击] <|ad_begin|> + 14:11 [广告-深度转化] <|ad_begin|> + 14:11 [广告-点击] <|ad_begin|> + 14:11 [广告-深度转化] <|ad_begin|> + 14:11 [广告-点击] <|ad_begin|> + 14:12 [广告-深度转化] <|ad_begin|> + 14:12 [广告-点击] <|ad_begin|> + 14:12 [广告-点击] <|ad_begin|> + 14:13 [广告-点击] <|ad_begin|> +【2026-01-05】 + 04:28 [广告-点击] <|ad_begin|> + 04:28 [广告-深度转化] <|ad_begin|> + 04:28 [广告-点击] <|ad_begin|> +【2026-01-07】 + --:-- [直播-关注] <|living_begin|> +【2026-01-08】 + 09:23 [广告-深度转化] <|ad_begin|> + 09:23 [广告-点击] <|ad_begin|> + 09:23 [广告-深度转化] <|ad_begin|> + 09:23 [广告-点击] <|ad_begin|> + 09:24 [广告-点击] <|ad_begin|> + 09:24 [广告-深度转化] <|ad_begin|> + 09:24 [广告-点击] <|ad_begin|> + 09:24 [广告-深度转化] <|ad_begin|> + 09:24 [广告-点击] <|ad_begin|> +【2026-01-09】 + 17:21 [广告-深度转化] <|ad_begin|> + 17:21 [广告-点击] <|ad_begin|> +【2026-01-10】 + --:-- [直播-关注] <|living_begin|> +【2026-01-11】 + --:-- [直播-关注] <|living_begin|> + 10:52 [广告-点击] <|ad_begin|> +【2026-01-12】 + 11:55 [广告-点击] <|ad_begin|> +【2026-01-13】 + 13:31 [广告-深度转化] <|ad_begin|> + 13:31 [广告-点击] <|ad_begin|> + 13:31 [广告-点击] <|ad_begin|> + 13:32 [广告-点击] <|ad_begin|> +【2026-01-15】 + 02:18 [广告-点击] <|ad_begin|> +【2026-01-18】 + 06:52 [广告-点击] <|ad_begin|> +【2026-01-19】 + 02:55 [广告-点击] <|ad_begin|> +【2026-01-20】 + 02:34 [广告-点击] <|ad_begin|> + 02:35 [广告-点击] <|ad_begin|> + 02:36 [广告-点击] <|ad_begin|> +【2026-01-22】 + 07:14 [广告-点击] <|ad_begin|> +【2026-01-25】 + 06:52 [广告-深度转化] <|ad_begin|> + 06:52 [广告-点击] <|ad_begin|> +【2026-01-27】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【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-购买] <|prod_begin|> +【2026-01-29】 + --:-- [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|> +【2026-01-30】 + --:-- [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|> +【2026-02-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_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|> +【2026-02-03】 + 10:28 [广告-点击] <|ad_begin|> + 10:28 [广告-点击] <|ad_begin|> + 10:29 [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|> + 16:44 [视频-点赞/长播] <|video_begin|> +【2026-02-04】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-02-05】 + 05:57 [视频-长播] <|video_begin|> + 05:57 [视频-长播] <|video_begin|> + 05:57 [视频-长播] <|video_begin|> + 06:02 [视频-长播] <|video_begin|> + 06:02 [视频-长播] <|video_begin|> + 06:02 [视频-长播] <|video_begin|> + 06:02 [视频-长播] <|video_begin|> + 06:05 [视频-长播] <|video_begin|> + 06:08 [视频-长播] <|video_begin|> + 06:08 [视频-长播] <|video_begin|> + 06:13 [视频-长播] <|video_begin|> + 06:14 [视频-长播] <|video_begin|> + 06:14 [视频-长播] <|video_begin|> + 06:15 [视频-长播] <|video_begin|> + 06:15 [视频-长播] <|video_begin|> + 06:16 [视频-长播] <|video_begin|> + 06:20 [视频-长播] <|video_begin|> + 06:23 [视频-长播] <|video_begin|> + 06:24 [视频-长播] <|video_begin|> + 06:24 [视频-长播] <|video_begin|> + 06:24 [视频-长播] <|video_begin|> + 06:24 [视频-长播] <|video_begin|> + 06:36 [视频-长播] <|video_begin|> + 06:36 [视频-长播] <|video_begin|> + 06:36 [视频-长播] <|video_begin|> + 06:39 [视频-长播] <|video_begin|> + 06:39 [视频-长播] <|video_begin|> + 06:39 [视频-长播] <|video_begin|> + 06:42 [广告-点击] <|ad_begin|> + 06:43 [广告-点击] <|ad_begin|> + 06:43 [广告-点击] <|ad_begin|> + 06:44 [广告-点击] <|ad_begin|> + 06:44 [广告-点击] <|ad_begin|> + 06:48 [视频-长播] <|video_begin|> + 06:48 [视频-长播] <|video_begin|> + 06:48 [视频-长播] <|video_begin|> + 06:54 [视频-长播] <|video_begin|> + 06:54 [视频-长播] <|video_begin|> + 06:54 [视频-长播] <|video_begin|> + 06:58 [视频-长播] <|video_begin|> + 06:58 [视频-长播] <|video_begin|> + 06:58 [视频-长播] <|video_begin|> + 06:58 [视频-长播] <|video_begin|> + 07:10 [视频-长播] <|video_begin|> + 07:10 [视频-长播] <|video_begin|> + 07:10 [视频-长播] <|video_begin|> + 10:37 [视频-长播] <|video_begin|> + 10:49 [视频-长播] <|video_begin|> + 10:49 [视频-长播] <|video_begin|> + 10:50 [视频-长播] <|video_begin|> + 10:50 [视频-长播] <|video_begin|> + 10:55 [视频-长播] <|video_begin|> + 11:07 [视频-长播] <|video_begin|> + 11:07 [视频-长播] <|video_begin|> + 13:05 [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|> + +角色任务：你是极端严苛的用户行为数据挖掘与数据格式化专家，请结合上述用户交互历史，面向给定主题，全面提取出所有具备关联性的历史交互数据。 + +主题：从文玩兴趣萌芽到工具链补齐的闭环 + +输出格式要求：输出必须且仅为包含 SID 的 JSON 数组，绝对不要输出任何额外的解释、提示或格式化外的文字。/no_think<|im_end|> +<|im_start|>assistant + + +["<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>"]<|im_end|> +<|im_start|>user +你擅长理解快手用户跨场景行为和语义ID表示，请根据输入信息归纳该用户的目标内容。 +已知如下用户跨场景行为： +用户在直播域: 关注了主播 <|living_begin|>，首次打赏了 <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>, <|living_begin|>。 +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|>，购买了 <|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|>。 +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|> 有过点赞/长播行为，对视频 <|video_begin|>, <|video_begin|> 有过收藏/长播行为，对视频 <|video_begin|> 有过关注/长播行为，看过视频 <|video_begin|>, <|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|> 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|>。 + +请输出该用户在不同场景下对应的目标内容。/no_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|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|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, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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<|video_begin|>","logic":"方案深化与对比筛选：在前一天的基础上，继续收藏新的、操作方式完全不同的解决方案（大蒜外敷）。这表明用户正在密集对比和评估不同方法的有效性，从“食疗内服”拓展到“物理外敷”，探索路径进一步深化。"},{"date":"2026-01-27","action":"[视频-收藏/点赞/长播] <|video_begin|>","logic":"认知闭环与决策收敛：用户收藏了一个对“病因”进行分析（气血不通、经络淤堵）并提供“独家秘方”的视频。这标志着用户的认知从简单的“尝试偏方”升级到对“病理机制”的探究，并可能找到了一个自认为更根本的解决方案，形成了初步的认知闭环。"}]}}<|im_end|> + + +{"logic_chain": {"name": "从关注宏大叙事到聚焦个体民生的视角下沉", "events": [{"date": "2026-01-23", "action": "[视频-浏览] <|video_begin|>", "logic": "初始兴趣点：关注国家级文化事件（春晚）及其争议，属于对公共议题和宏大叙事的典型关注。"}, {"date": "2026-02-02", "action": "[视频-关注/评论/点赞/长播] <|video_begin|>", "logic": "视角下沉：用户的关注点从宏观的文化事件，转向了具体的社会群体（农民）和民生议题（养老金）。这标志着其社会观察的视角开始下沉，从“旁观者”向“共情者”转变。"}, {"date": "2026-02-04", "action": "[视频-关注/评论/点赞/长播] <|video_begin|>", "logic": "认知闭环与批判性思考：用户将初始的宏大叙事（春晚）与后期的民生关怀（基层生活）联系起来，形成批判性视角。这不再是简单的信息接收，而是将两个不同层面的议题进行关联思考，完成了从“关注事件”到“反思事件背后社会价值”的认知跃迁。"}]}}<|im_end|> + + +["<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|video_begin|>","<|video_begin|>","<|prod_begin|>","<|prod_begin|>","<|video_begin|>","<|video_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|video_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>"]<|im_end|> + + +["<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>"]<|im_end|> +该用户最近喜欢的视频有: <|video_begin|><|im_end|> + +[INFO|configuration_utils.py:769] 2026-07-15 02:02:44,589 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-15 02:02:44,590 >> 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|2026-07-15 02:02:44] llamafactory.model.model_utils.kv_cache:144 >> KV cache is disabled during training. +[INFO|2026-07-15 02:02:44] llamafactory.model.model_utils.liger_kernel:144 >> Liger kernel has been applied to the model. +[INFO|modeling_utils.py:748] 2026-07-15 02:02:44,955 >> loading weights file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/model.safetensors +[INFO|modeling_utils.py:821] 2026-07-15 02:02:44,955 >> Will use dtype=torch.bfloat16 as defined in model's config object +[INFO|configuration_utils.py:1027] 2026-07-15 02:02:45,152 >> 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] 2026-07-15 02:02:45,508 >> 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] 2026-07-15 02:02:45,508 >> Could not locate the custom_generate/generate.py inside /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018. +[INFO|2026-07-15 02:02:45] llamafactory.model.model_utils.checkpointing:144 >> Gradient checkpointing enabled. +[INFO|2026-07-15 02:02:45] llamafactory.model.model_utils.attention:144 >> Using FlashAttention-2 for faster training and inference. +[INFO|2026-07-15 02:02:45] llamafactory.model.adapter:144 >> Pure bf16 / BAdam detected, remaining trainable params in half precision. +[INFO|2026-07-15 02:02:45] llamafactory.model.adapter:144 >> Fine-tuning method: Full +[INFO|2026-07-15 02:02:45] llamafactory.model.loader:144 >> trainable params: 801,433,600 || all params: 801,433,600 || trainable%: 100.0000 +[INFO|trainer.py:1469] 2026-07-15 02:02:45,657 >> ***** Running training ***** +[INFO|trainer.py:1470] 2026-07-15 02:02:45,657 >> Num examples = 2,159 +[INFO|trainer.py:1471] 2026-07-15 02:02:45,657 >> Num Epochs = 2 +[INFO|trainer.py:1472] 2026-07-15 02:02:45,657 >> Num update steps per epoch = 540 +[INFO|trainer.py:1473] 2026-07-15 02:02:45,657 >> Instantaneous batch size per device = 1 +[INFO|trainer.py:1476] 2026-07-15 02:02:45,657 >> Total train batch size (w. parallel, distributed & accumulation) = 4 +[INFO|trainer.py:1477] 2026-07-15 02:02:45,657 >> Gradient Accumulation steps = 4 +[INFO|trainer.py:1478] 2026-07-15 02:02:45,657 >> Total optimization steps = 648 +[INFO|trainer.py:1479] 2026-07-15 02:02:45,658 >> Number of trainable parameters = 801,433,600 + 0%| | 0/648 [00:00> `use_return_dict` is deprecated! Use `return_dict` instead! + 0%| | 1/648 [00:08<1:26:32, 8.03s/it] 0%| | 2/648 [00:15<1:25:40, 7.96s/it] 0%| | 3/648 [00:23<1:24:17, 7.84s/it] 1%| | 4/648 [00:31<1:23:51, 7.81s/it] 1%| | 5/648 [00:38<1:22:07, 7.66s/it] 1%| | 6/648 [00:46<1:22:30, 7.71s/it] 1%| | 7/648 [00:54<1:23:12, 7.79s/it] 1%| | 8/648 [01:02<1:23:12, 7.80s/it] 1%|▏ | 9/648 [01:10<1:23:47, 7.87s/it] 2%|▏ | 10/648 [01:17<1:20:03, 7.53s/it] {'loss': '1.959', 'grad_norm': '9.938', 'learning_rate': '1.8e-07', 'epoch': '0.01853'} + 2%|▏ | 10/648 [01:17<1:20:03, 7.53s/it] 2%|▏ | 11/648 [01:25<1:21:39, 7.69s/it] 2%|▏ | 12/648 [01:32<1:20:26, 7.59s/it] 2%|▏ | 13/648 [01:39<1:18:06, 7.38s/it] 2%|▏ | 14/648 [01:47<1:19:14, 7.50s/it] 2%|▏ | 15/648 [01:54<1:19:22, 7.52s/it] 2%|▏ | 16/648 [02:02<1:18:47, 7.48s/it] 3%|▎ | 17/648 [02:10<1:19:57, 7.60s/it] 3%|▎ | 18/648 [02:17<1:20:00, 7.62s/it] 3%|▎ | 19/648 [02:25<1:20:14, 7.65s/it] 3%|▎ | 20/648 [02:32<1:18:59, 7.55s/it] {'loss': '1.857', 'grad_norm': '6.625', 'learning_rate': '3.8e-07', 'epoch': '0.03705'} + 3%|▎ | 20/648 [02:32<1:18:59, 7.55s/it] 3%|▎ | 21/648 [02:41<1:23:25, 7.98s/it] 3%|▎ | 22/648 [02:50<1:25:03, 8.15s/it] 4%|▎ | 23/648 [02:58<1:24:28, 8.11s/it] 4%|▎ | 24/648 [03:06<1:23:08, 7.99s/it] 4%|▍ | 25/648 [03:14<1:24:52, 8.17s/it] 4%|▍ | 26/648 [03:21<1:22:04, 7.92s/it] 4%|▍ | 27/648 [03:29<1:21:26, 7.87s/it] 4%|▍ | 28/648 [03:36<1:17:10, 7.47s/it] 4%|▍ | 29/648 [03:43<1:16:58, 7.46s/it] 5%|▍ | 30/648 [03:51<1:16:43, 7.45s/it] {'loss': '1.789', 'grad_norm': '6.094', 'learning_rate': '3.998e-07', 'epoch': '0.05558'} + 5%|▍ | 30/648 [03:51<1:16:43, 7.45s/it] 5%|▍ | 31/648 [03:59<1:19:27, 7.73s/it] 5%|▍ | 32/648 [04:07<1:19:51, 7.78s/it] 5%|▌ | 33/648 [04:14<1:18:53, 7.70s/it] 5%|▌ | 34/648 [04:22<1:18:34, 7.68s/it] 5%|▌ | 35/648 [04:30<1:17:55, 7.63s/it] 6%|▌ | 36/648 [04:38<1:20:14, 7.87s/it] 6%|▌ | 37/648 [04:46<1:21:04, 7.96s/it] 6%|▌ | 38/648 [04:54<1:21:14, 7.99s/it] 6%|▌ | 39/648 [05:02<1:21:48, 8.06s/it] 6%|▌ | 40/648 [05:11<1:22:14, 8.12s/it] {'loss': '1.697', 'grad_norm': '10.94', 'learning_rate': '3.991e-07', 'epoch': '0.07411'} + 6%|▌ | 40/648 [05:11<1:22:14, 8.12s/it] 6%|▋ | 41/648 [05:18<1:20:21, 7.94s/it] 6%|▋ | 42/648 [05:25<1:16:53, 7.61s/it] 7%|▋ | 43/648 [05:33<1:16:32, 7.59s/it] 7%|▋ | 44/648 [05:40<1:15:50, 7.53s/it] 7%|▋ | 45/648 [05:48<1:16:42, 7.63s/it] 7%|▋ | 46/648 [05:54<1:12:32, 7.23s/it] 7%|▋ | 47/648 [06:02<1:14:56, 7.48s/it] 7%|▋ | 48/648 [06:10<1:16:28, 7.65s/it] 8%|▊ | 49/648 [06:18<1:16:33, 7.67s/it] 8%|▊ | 50/648 [06:26<1:17:43, 7.80s/it] {'loss': '1.982', 'grad_norm': '5.375', 'learning_rate': '3.979e-07', 'epoch': '0.09264'} + 8%|▊ | 50/648 [06:26<1:17:43, 7.80s/it] 8%|▊ | 51/648 [06:34<1:16:35, 7.70s/it] 8%|▊ | 52/648 [06:42<1:18:35, 7.91s/it] 8%|▊ | 53/648 [06:50<1:17:55, 7.86s/it] 8%|▊ | 54/648 [06:58<1:19:49, 8.06s/it] 8%|▊ | 55/648 [07:06<1:19:21, 8.03s/it] 9%|▊ | 56/648 [07:14<1:17:10, 7.82s/it] 9%|▉ | 57/648 [07:21<1:16:53, 7.81s/it] 9%|▉ | 58/648 [07:29<1:15:18, 7.66s/it] 9%|▉ | 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{'loss': '1.918', 'grad_norm': '11.25', 'learning_rate': '5.979e-09', 'epoch': '1.111'} + 93%|█████████▎| 600/648 [1:18:21<06:05, 7.62s/it] 93%|█████████▎| 601/648 [1:18:28<05:54, 7.55s/it] 93%|█████████▎| 602/648 [1:18:36<05:55, 7.73s/it] 93%|█████████▎| 603/648 [1:18:44<05:48, 7.74s/it] 93%|█████████▎| 604/648 [1:18:52<05:38, 7.70s/it] 93%|█████████▎| 605/648 [1:18:59<05:22, 7.51s/it] 94%|█████████▎| 606/648 [1:19:07<05:22, 7.69s/it] 94%|█████████▎| 607/648 [1:19:14<05:06, 7.48s/it] 94%|█████████▍| 608/648 [1:19:22<05:11, 7.79s/it] 94%|█████████▍| 609/648 [1:19:29<04:55, 7.57s/it] 94%|█████████▍| 610/648 [1:19:38<05:03, 7.99s/it] {'loss': '1.903', 'grad_norm': '12.69', 'learning_rate': '3.794e-09', 'epoch': '1.13'} + 94%|█████████▍| 610/648 [1:19:38<05:03, 7.99s/it] 94%|█████████▍| 611/648 [1:19:46<04:52, 7.92s/it] 94%|█████████▍| 612/648 [1:19:54<04:49, 8.03s/it] 95%|█████████▍| 613/648 [1:20:03<04:41, 8.05s/it] 95%|█████████▍| 614/648 [1:20:11<04:36, 8.12s/it] 95%|█████████▍| 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'epoch': '1.167'} + 97%|█████████▋| 630/648 [1:22:12<02:13, 7.44s/it] 97%|█████████▋| 631/648 [1:22:19<02:07, 7.48s/it] 98%|█████████▊| 632/648 [1:22:27<02:01, 7.58s/it] 98%|█████████▊| 633/648 [1:22:35<01:55, 7.70s/it] 98%|█████████▊| 634/648 [1:22:43<01:48, 7.77s/it] 98%|█████████▊| 635/648 [1:22:52<01:43, 7.99s/it] 98%|█████████▊| 636/648 [1:22:59<01:35, 7.96s/it] 98%|█████████▊| 637/648 [1:23:07<01:27, 7.98s/it] 98%|█████████▊| 638/648 [1:23:15<01:18, 7.85s/it] 99%|█████████▊| 639/648 [1:23:23<01:11, 8.00s/it] 99%|█████████▉| 640/648 [1:23:31<01:04, 8.02s/it] {'loss': '1.8', 'grad_norm': '4.781', 'learning_rate': '2.027e-10', 'epoch': '1.185'} + 99%|█████████▉| 640/648 [1:23:31<01:04, 8.02s/it] 99%|█████████▉| 641/648 [1:23:39<00:55, 7.94s/it] 99%|█████████▉| 642/648 [1:23:47<00:47, 7.96s/it] 99%|█████████▉| 643/648 [1:23:56<00:40, 8.10s/it] 99%|█████████▉| 644/648 [1:24:02<00:30, 7.64s/it] 100%|█████████▉| 645/648 [1:24:10<00:22, 7.60s/it] 100%|█████████▉| 646/648 [1:24:17<00:15, 7.55s/it] 100%|█████████▉| 647/648 [1:24:25<00:07, 7.77s/it] 100%|██████████| 648/648 [1:24:34<00:00, 8.01s/it][INFO|trainer.py:1823] 2026-07-15 03:27:20,171 >> + +Training completed. Do not forget to share your model on huggingface.co/models =) + + + {'train_runtime': '5075', 'train_samples_per_second': '0.511', 'train_steps_per_second': '0.128', 'train_loss': '1.887', 'epoch': '1.2'} + 100%|██████████| 648/648 [1:24:34<00:00, 8.01s/it] 100%|██████████| 648/648 [1:24:34<00:00, 7.83s/it] +[INFO|trainer.py:3815] 2026-07-15 03:27:20,179 >> Saving model checkpoint to /home/ll/llm4rec/experiments/outputs/v36_v29_general_guard_lr4e7_ep12 +[INFO|configuration_utils.py:533] 2026-07-15 03:27:20,181 >> Configuration saved in /home/ll/llm4rec/experiments/outputs/v36_v29_general_guard_lr4e7_ep12/config.json +[INFO|configuration_utils.py:816] 2026-07-15 03:27:20,181 >> Configuration saved in /home/ll/llm4rec/experiments/outputs/v36_v29_general_guard_lr4e7_ep12/generation_config.json + Writing model shards: 0%| | 0/1 [00:00> Model weights saved in /home/ll/llm4rec/experiments/outputs/v36_v29_general_guard_lr4e7_ep12/model.safetensors +[INFO|tokenization_utils_base.py:3278] 2026-07-15 03:27:21,146 >> chat template saved in /home/ll/llm4rec/experiments/outputs/v36_v29_general_guard_lr4e7_ep12/chat_template.jinja +[INFO|tokenization_utils_base.py:2111] 2026-07-15 03:27:21,168 >> tokenizer config file saved in /home/ll/llm4rec/experiments/outputs/v36_v29_general_guard_lr4e7_ep12/tokenizer_config.json +***** train metrics ***** + epoch = 1.2001 + total_flos = 288871318GF + train_loss = 1.8869 + train_runtime = 1:24:34.52 + train_samples_per_second = 0.511 + train_steps_per_second = 0.128 +Figure saved at: /home/ll/llm4rec/experiments/outputs/v36_v29_general_guard_lr4e7_ep12/training_loss.png +[WARNING|2026-07-15 03:27:21] llamafactory.extras.ploting:149 >> No metric eval_loss to plot. +[WARNING|2026-07-15 03:27:21] llamafactory.extras.ploting:149 >> No metric eval_accuracy to plot. +[INFO|modelcard.py:263] 2026-07-15 03:27:21,269 >> Dropping the following result as it does not have all the necessary fields: +{'task': {'name': 'Causal Language Modeling', 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