From a5812e8837cd451c853fc4a7737763c57c8185d2 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sun, 19 Jul 2026 04:13:09 +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/v38_v29_r3_aggressive_lr7e7_ep10 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 + ...55750.ubuntu-System-Product-Name.1382577.0 | 3 + tokenizer.json | 3 + tokenizer_config.json | 16 + train.log | 2439 +++++++++++++++++ train_results.json | 8 + trainer_log.jsonl | 47 + trainer_state.json | 365 +++ training_args.bin | 3 + training_loss.png | Bin 0 -> 54200 bytes 17 files changed, 3225 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_03-02-30_ubuntu-System-Product-Name/events.out.tfevents.1784055750.ubuntu-System-Product-Name.1382577.0 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..12ed3d0 --- /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: v38_v29_r3_aggressive_lr7e7_ep10 + results: [] +--- + + + +# v38_v29_r3_aggressive_lr7e7_ep10 + +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_v38_r3_aggressive 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: 7e-07 +- train_batch_size: 1 +- eval_batch_size: 8 +- seed: 202607188 +- 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: 1.0 + +### 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..f6f4d53 --- /dev/null +++ b/all_results.json @@ -0,0 +1,8 @@ +{ + "epoch": 1.0, + "total_flos": 2.197680639479255e+17, + "train_loss": 2.143569690286467, + "train_runtime": 3558.7051, + "train_samples_per_second": 0.518, + "train_steps_per_second": 0.13 +} \ 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..c0caf53 --- /dev/null +++ b/experiment_recipe.json @@ -0,0 +1,72 @@ +{ + "created_at": "2026-07-15 00:59:15", + "name": "v38_v29_r3_aggressive_lr7e7_ep10", + "base": "/home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018", + "dataset": "v38_r3_aggressive", + "dataset_manifest": { + "name": "v38_r3_aggressive", + "path": "/home/ll/llm4rec/experiments/data/v38_r3_aggressive.jsonl", + "records": 80000, + "bytes": 305394286, + "sha256": "1b53237ca7e35d4c0019b89966b7eec83e6945b643ddc0fe86ed057d90f7b81c", + "requested_components": { + "general": 20000, + "r0": 8000, + "r3_think": 20000, + "r3_direct": 22000, + "old_rec": 4000, + "old_user": 3000, + "old_item": 3000 + }, + "groups": { + "r3": 42000, + "general": 20000, + "old_item": 3000, + "old_user": 3000, + "old_rec": 4000, + "r0": 8000 + }, + "variants": { + "profile_goods_direct": 5026, + "profile_goods_cot": 4597, + "official_general_cot": 10049, + "profile_video/video_cot": 6131, + "profile_video/video_direct": 6741, + "original_competition": 4883, + "profile_live_direct": 5061, + "user_logic_json_strict": 411, + "official_general_direct": 9951, + "user_strict_array": 503, + "caption_to_sid_direct": 3936, + "profile_live_cot": 4541, + "profile_video/ad_direct": 5172, + "rec_no_think_direct_final": 2005, + "profile_video/ad_cot": 4731, + "sid_to_caption_cot": 2069, + "user_extra_no_think_logic": 204, + "item_short_think": 516, + "item_no_think_direct_final": 555, + "sid_to_caption_direct": 1995, + "user_array_json_strict": 514, + "user_strict_logic": 409 + }, + "routes": { + "no_think": 43837, + "think": 36163 + }, + "target_leakage": 0, + "seed": 202607155 + }, + "learning_rate": "7.0e-7", + "epochs": 1.0, + "stages": null, + "note": "Highest R3 share, trained on real temporal holdouts from official user profiles with target leakage blocked.", + "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/v38_v29_r3_aggressive_lr7e7_ep10.yaml" + ], + "reproduce": "/home/ll/llm4rec/demo/LLaMA-Factory/.venv/bin/python /home/ll/llm4rec/experiments/run_v34_v43.py --single v38_v29_r3_aggressive_lr7e7_ep10 --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..90635fb --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0304112cb98f02c71547e168b4f355cb192930d83890e8c1d85cf62605c0b894 +size 1602902832 diff --git a/runs/Jul15_03-02-30_ubuntu-System-Product-Name/events.out.tfevents.1784055750.ubuntu-System-Product-Name.1382577.0 b/runs/Jul15_03-02-30_ubuntu-System-Product-Name/events.out.tfevents.1784055750.ubuntu-System-Product-Name.1382577.0 new file mode 100644 index 0000000..2c274e7 --- /dev/null +++ b/runs/Jul15_03-02-30_ubuntu-System-Product-Name/events.out.tfevents.1784055750.ubuntu-System-Product-Name.1382577.0 @@ -0,0 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a/train.log b/train.log new file mode 100644 index 0000000..aeb7079 --- /dev/null +++ b/train.log @@ -0,0 +1,2439 @@ +[2026-07-15 03:02:00] stage 1/1: /home/ll/llm4rec/experiments/configs/v38_v29_r3_aggressive_lr7e7_ep10.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 03:02:03] 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 03:02:03,667 >> 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 03:02:03,669 >> 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 03:02:04,319 >> 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 03:02:04,320 >> 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 03:02:04,320 >> 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 03:02:04,320 >> 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 03:02:04] llamafactory.data.loader:144 >> Loading dataset /home/ll/llm4rec/experiments/data/v38_r3_aggressive.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: 24759 examples [00:00, 217822.74 examples/s] Generating train split: 57937 examples [00:00, 251369.30 examples/s] Generating train split: 80000 examples [00:00, 255491.64 examples/s] + Converting format of dataset (num_proc=16): 0%| | 0/80000 [00:00user +【用户交互历史】： +【2025-03-26】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-04-02】 + --:-- [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] 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<|video_begin|> + 01:23 [视频-长播] <|video_begin|> + 01:34 [视频-长播] <|video_begin|> + 01:34 [视频-点赞/长播] <|video_begin|> + 01:34 [视频-评论/长播] <|video_begin|> + 01:39 [视频-长播] <|video_begin|> + 01:39 [视频-长播] <|video_begin|> + 01:57 [广告-深度转化] <|ad_begin|> + 01:57 [广告-点击] <|ad_begin|> + 01:57 [广告-点击] <|ad_begin|> + 01:58 [广告-深度转化] <|ad_begin|> + 01:58 [广告-点击] <|ad_begin|> + 01:58 [广告-点击] <|ad_begin|> + 02:00 [广告-点击] <|ad_begin|> + 02:00 [广告-点击] <|ad_begin|> + 02:01 [广告-深度转化] <|ad_begin|> + 02:01 [广告-点击] <|ad_begin|> + 02:06 [广告-深度转化] <|ad_begin|> + 02:06 [广告-点击] <|ad_begin|> + 02:06 [广告-点击] <|ad_begin|> + 02:09 [广告-点击] <|ad_begin|> + 02:14 [广告-深度转化] <|ad_begin|> + 02:14 [广告-点击] <|ad_begin|> + 02:14 [广告-点击] <|ad_begin|> + 02:23 [广告-深度转化] <|ad_begin|> + 02:23 [广告-点击] <|ad_begin|> + 02:23 [广告-深度转化] <|ad_begin|> + 02:23 [广告-点击] <|ad_begin|> + 02:23 [广告-点击] <|ad_begin|> + 03:11 [广告-深度转化] <|ad_begin|> + 03:11 [广告-点击] <|ad_begin|> + 06:20 [视频-长播] <|video_begin|> + 06:35 [视频-长播] <|video_begin|> + 06:35 [视频-长播] <|video_begin|> + 06:35 [视频-长播] <|video_begin|> + 07:20 [视频-长播] <|video_begin|> + 07:20 [视频-长播] <|video_begin|> + 07:20 [视频-长播] <|video_begin|> + 08:31 [广告-点击] <|ad_begin|> + 08:33 [广告-点击] <|ad_begin|> + 08:33 [广告-深度转化] <|ad_begin|> + 08:33 [广告-点击] <|ad_begin|> + 08:33 [广告-点击] <|ad_begin|> + 08:36 [视频-长播] <|video_begin|> + 08:41 [广告-深度转化] <|ad_begin|> + 08:41 [广告-点击] <|ad_begin|> + 08:41 [广告-点击] <|ad_begin|> + 08:42 [广告-深度转化] <|ad_begin|> + 08:42 [广告-点击] <|ad_begin|> + 08:42 [广告-点击] <|ad_begin|> + 08:46 [广告-点击] <|ad_begin|> + 08:55 [广告-点击] <|ad_begin|> + 08:56 [广告-深度转化] <|ad_begin|> + 08:56 [广告-点击] <|ad_begin|> + 08:57 [广告-深度转化] <|ad_begin|> + 08:57 [广告-点击] <|ad_begin|> + 09:03 [广告-深度转化] <|ad_begin|> + 09:03 [广告-点击] <|ad_begin|> + 09:03 [广告-点击] <|ad_begin|> + 09:08 [广告-深度转化] <|ad_begin|> + 09:08 [广告-点击] <|ad_begin|> + 09:08 [广告-点击] <|ad_begin|> + 09:13 [广告-深度转化] <|ad_begin|> + 09:13 [广告-点击] <|ad_begin|> + 10:33 [视频-点赞/长播] <|video_begin|> + 11:18 [广告-深度转化] <|ad_begin|> + 11:18 [广告-点击] <|ad_begin|> + 11:18 [广告-点击] <|ad_begin|> + 11:21 [广告-点击] <|ad_begin|> + 11:21 [广告-深度转化] <|ad_begin|> + 11:21 [广告-点击] <|ad_begin|> + 11:24 [广告-深度转化] <|ad_begin|> + 11:24 [广告-点击] <|ad_begin|> + 11:34 [广告-点击] <|ad_begin|> + 11:35 [广告-点击] <|ad_begin|> + 11:41 [广告-点击] <|ad_begin|> + 11:55 [广告-点击] <|ad_begin|> + 11:59 [广告-点击] <|ad_begin|> + 12:00 [广告-深度转化] <|ad_begin|> + 12:00 [广告-点击] <|ad_begin|> + 12:01 [广告-深度转化] <|ad_begin|> + 12:01 [广告-点击] <|ad_begin|> + 12:29 [广告-点击] <|ad_begin|> + 12:29 [广告-深度转化] <|ad_begin|> + 12:29 [广告-点击] <|ad_begin|> + 12:32 [广告-点击] <|ad_begin|> + 12:37 [广告-点击] <|ad_begin|> + 12:49 [广告-点击] <|ad_begin|> + 12:54 [广告-点击] <|ad_begin|> + 13:01 [广告-点击] <|ad_begin|> + 13:02 [广告-点击] <|ad_begin|> +【2026-02-05】 + 01:57 [视频-长播] <|video_begin|> + 01:57 [视频-长播] <|video_begin|> + 02:09 [视频-长播] <|video_begin|> + 02:27 [视频-长播] <|video_begin|> + 02:27 [视频-点赞/长播] <|video_begin|> + 02:28 [视频-点赞/长播] <|video_begin|> + 02:39 [视频-长播] <|video_begin|> + 02:39 [视频-评论/长播] <|video_begin|> + 02:46 [广告-深度转化] <|ad_begin|> + 02:46 [广告-点击] <|ad_begin|> + 02:46 [广告-点击] <|ad_begin|> + 02:48 [广告-深度转化] <|ad_begin|> + 02:48 [广告-点击] <|ad_begin|> + 03:09 [广告-深度转化] <|ad_begin|> + 03:09 [广告-点击] <|ad_begin|> + 03:17 [广告-点击] <|ad_begin|> + 03:18 [广告-深度转化] <|ad_begin|> + 03:18 [广告-点击] <|ad_begin|> + 03:25 [广告-深度转化] <|ad_begin|> + 03:25 [广告-点击] <|ad_begin|> + 03:25 [广告-点击] <|ad_begin|> + 04:21 [视频-评论/点赞/长播] <|video_begin|> + 04:33 [视频-评论/点赞/长播] <|video_begin|> + 04:33 [视频-评论/长播] <|video_begin|> + 12:22 [广告-深度转化] <|ad_begin|> + 12:22 [广告-点击] <|ad_begin|> + 12:22 [广告-点击] <|ad_begin|> + 12:24 [广告-点击] <|ad_begin|> + 12:34 [广告-点击] <|ad_begin|> + 12:38 [广告-深度转化] <|ad_begin|> + 12:38 [广告-点击] <|ad_begin|> + 12:39 [广告-点击] <|ad_begin|> + 12:46 [广告-深度转化] <|ad_begin|> + 12:46 [广告-点击] <|ad_begin|> + 13:04 [广告-深度转化] <|ad_begin|> + 13:04 [广告-点击] <|ad_begin|> + 13:05 [广告-深度转化] <|ad_begin|> + 13:05 [广告-点击] <|ad_begin|> +角色任务：你需要扮演极端严苛的用户行为数据挖掘专家以及数据格式化专家，基于以上用户交互历史，针对给定主题识别并提取具有递进逻辑和内在联系的交互行为逻辑链。 +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 和交互 A 必须落在同一生活场景、同一主题类目中，且存在很强的需求补完关系。 +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。 +请针对下列主题提取行为逻辑链： +主题：从泛化健康关注到特定保健品精准决策的演化 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "从泛化健康关注到特定保健品精准决策的演化", + "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":"从泛化健康关注到特定保健品精准决策的演化","events":[{"date":"2025-06-19","action":"[直播-关注/首次打赏] <|living_begin|>","logic":"问题触发：通过观看中医康养科普直播，产生了对“亚健康调理”和“生活养生”的初步认知和需求。"},{"date":"2026-01-06","action":"[商品-点击] <|prod_begin|>","logic":"发散调研（维度一）：基于前期养生认知，开始主动调研具体保健品，关注点聚焦于“关节”方向的“氨糖软骨素”。"},{"date":"2026-01-06","action":"[商品-点击] <|prod_begin|>","logic":"发散调研（维度二）：调研范围扩展至“抗疲劳”、“提神”方向的“马卡牡蛎肽”，与上一动作形成对比，显示用户在多个健康维度间进行探索和比较。"},{"date":"2026-01-06","action":"[商品-购买] <|prod_begin|>","logic":"决策收敛：在对比了不同功效的保健品后，用户做出了具体购买决策，完成了从信息收集到行为转化的闭环，精准锁定了“关节舒缓”这一具体需求。"}]}}<|im_end|> +<|im_start|>user +【用户交互历史】： +【2022-06-06】 + --:-- [商品-购买] <|prod_begin|> +【2022-09-11】 + --:-- [商品-购买] <|prod_begin|> +【2022-09-12】 + --:-- [商品-购买] <|prod_begin|> +【2022-09-13】 + --:-- [商品-购买] <|prod_begin|> +【2022-09-30】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2022-11-16】 + --:-- [商品-购买] <|prod_begin|> +【2022-12-18】 + --:-- [商品-购买] <|prod_begin|> +【2023-01-24】 + --:-- [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|> +【2023-01-25】 + --:-- [商品-购买] <|prod_begin|> +【2023-04-11】 + --:-- [商品-购买] <|prod_begin|> +【2023-04-15】 + --:-- [商品-购买] <|prod_begin|> +【2023-05-09】 + --:-- [商品-购买] <|prod_begin|> +【2023-07-06】 + --:-- [商品-购买] <|prod_begin|> +【2023-11-23】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-01-17】 + --:-- [商品-购买] <|prod_begin|> +【2024-01-31】 + --:-- [商品-点击] <|prod_begin|> +【2024-03-05】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-03-20】 + --:-- [商品-点击] <|prod_begin|> +【2024-04-30】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2024-05-07】 + --:-- [商品-点击] <|prod_begin|> +【2024-05-23】 + --:-- [商品-点击] <|prod_begin|> +【2024-05-25】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2024-06-18】 + --:-- [商品-点击] <|prod_begin|> +【2024-07-21】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-07-22】 + --:-- [商品-点击] <|prod_begin|> +【2024-07-30】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2024-08-01】 + --:-- [商品-点击] <|prod_begin|> +【2024-08-06】 + --:-- [商品-点击] <|prod_begin|> +【2024-08-08】 + --:-- [商品-点击] <|prod_begin|> +【2024-08-09】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-08-23】 + --:-- [商品-点击] <|prod_begin|> +【2024-09-07】 + --:-- [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|> +【2024-09-13】 + --:-- [商品-点击] <|prod_begin|> +【2024-09-30】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2024-12-24】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-11】 + 03:31 [广告-点击] <|ad_begin|> + 10:13 [广告-点击] <|ad_begin|> +【2025-12-12】 + 02:14 [广告-点击] <|ad_begin|> + 05:28 [广告-点击] <|ad_begin|> +【2025-12-16】 + 06:21 [广告-点击] <|ad_begin|> + 15:06 [广告-点击] <|ad_begin|> + 15:17 [广告-点击] <|ad_begin|> +【2025-12-17】 + 04:44 [广告-点击] <|ad_begin|> + 07:10 [广告-点击] <|ad_begin|> + 09:39 [广告-点击] <|ad_begin|> +【2025-12-20】 + 09:56 [广告-点击] <|ad_begin|> +【2025-12-23】 + 23:47 [广告-点击] <|ad_begin|> +【2025-12-24】 + 09:57 [广告-点击] <|ad_begin|> + 13:49 [广告-点击] <|ad_begin|> +【2025-12-26】 + 16:44 [广告-点击] <|ad_begin|> +【2025-12-28】 + 23:24 [广告-点击] <|ad_begin|> +【2025-12-29】 + 11:32 [广告-点击] <|ad_begin|> +【2025-12-30】 + 08:19 [广告-点击] <|ad_begin|> + 13:05 [广告-点击] <|ad_begin|> +【2026-01-02】 + 00:41 [广告-点击] <|ad_begin|> + 16:12 [广告-点击] <|ad_begin|> +【2026-01-03】 + 13:27 [广告-点击] <|ad_begin|> + 16:43 [广告-点击] <|ad_begin|> + 23:26 [广告-点击] <|ad_begin|> +【2026-01-04】 + 02:30 [广告-点击] <|ad_begin|> + 04:48 [广告-点击] <|ad_begin|> + 23:50 [广告-点击] <|ad_begin|> +【2026-01-05】 + 01:39 [广告-点击] <|ad_begin|> +【2026-01-06】 + 08:45 [广告-点击] <|ad_begin|> +【2026-01-07】 + 09:56 [广告-点击] <|ad_begin|> +【2026-01-08】 + 06:18 [广告-点击] <|ad_begin|> +【2026-01-09】 + 00:45 [广告-点击] <|ad_begin|> +【2026-01-11】 + 07:41 [广告-点击] <|ad_begin|> +【2026-01-12】 + 10:28 [广告-点击] <|ad_begin|> +【2026-01-14】 + 02:17 [广告-点击] <|ad_begin|> +【2026-01-15】 + 10:20 [广告-点击] <|ad_begin|> +【2026-01-17】 + 11:25 [广告-点击] <|ad_begin|> + 13:49 [广告-点击] <|ad_begin|> + 15:09 [广告-点击] <|ad_begin|> +【2026-01-18】 + 02:50 [广告-点击] <|ad_begin|> + 04:54 [广告-点击] <|ad_begin|> + 23:04 [广告-点击] <|ad_begin|> +【2026-01-19】 + 02:19 [广告-点击] <|ad_begin|> + 06:39 [广告-点击] <|ad_begin|> + 09:43 [广告-点击] <|ad_begin|> +【2026-01-21】 + 21:10 [广告-点击] <|ad_begin|> +【2026-01-23】 + 09:06 [视频-关注/点赞/长播] <|video_begin|> + 09:08 [广告-点击] <|ad_begin|> + 09:44 [视频-关注/长播] <|video_begin|> + 09:48 [广告-点击] <|ad_begin|> + 12:38 [广告-点击] <|ad_begin|> + 12:38 [视频-关注/长播] <|video_begin|> +【2026-01-24】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + 00:52 [视频-关注/长播] <|video_begin|> + 01:18 [视频-收藏/长播] <|video_begin|> + 01:27 [视频-收藏/长播] <|video_begin|> + 08:02 [视频-关注/长播] <|video_begin|> + 10:18 [视频-关注/长播] <|video_begin|> + 10:27 [视频-关注/长播] <|video_begin|> + 12:21 [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|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-25】 + --:-- [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|> + --:-- [直播-关注/首次打赏] <|living_begin|> + 04:07 [视频-关注/长播] <|video_begin|> + 06:33 [视频-关注/长播] <|video_begin|> + 08:19 [广告-点击] <|ad_begin|> + 10:05 [视频-关注/长播] <|video_begin|> + 12:24 [视频-关注/收藏/点赞/长播] <|video_begin|> + 12:42 [广告-点击] <|ad_begin|> + 12:45 [视频-关注/长播] <|video_begin|> + 13:01 [视频-浏览] <|video_begin|> + 13:38 [视频-关注/点赞/长播] <|video_begin|> + 13:38 [视频-关注/收藏/点赞/长播] <|video_begin|> + 14:04 [视频-关注/收藏/点赞/长播] <|video_begin|> + 14:58 [视频-关注/收藏/点赞/长播] <|video_begin|> +【2026-01-26】 + 07:26 [广告-点击] <|ad_begin|> + 11:51 [广告-点击] <|ad_begin|> + 16:51 [广告-点击] <|ad_begin|> +【2026-01-27】 + 00:51 [广告-点击] <|ad_begin|> + 01:58 [广告-点击] <|ad_begin|> +【2026-01-28】 + 14:35 [广告-点击] <|ad_begin|> +【2026-01-29】 + 01:37 [广告-点击] <|ad_begin|> +【2026-01-30】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/打赏] <|living_begin|> + 02:38 [广告-点击] <|ad_begin|> + 08:40 [视频-关注/点赞/长播] <|video_begin|> + 08:40 [视频-收藏/长播] <|video_begin|> + 08:49 [视频-关注/点赞/长播] <|video_begin|> + 09:16 [视频-关注/点赞/长播] <|video_begin|> + 09:16 [视频-关注/收藏/点赞/长播] <|video_begin|> + 09:34 [视频-关注/长播] <|video_begin|> + 10:03 [视频-关注/点赞/长播] <|video_begin|> + 10:20 [视频-关注/点赞/长播] <|video_begin|> + 10:20 [视频-关注/收藏/点赞/长播] <|video_begin|> + 15:17 [视频-关注/点赞/长播] <|video_begin|> + 15:17 [视频-关注/收藏/点赞/长播] <|video_begin|> + 16:36 [视频-关注/收藏/点赞/长播] <|video_begin|> + 16:43 [视频-关注/长播] <|video_begin|> +【2026-01-31】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 03:05 [广告-点击] <|ad_begin|> + 11:27 [视频-收藏/长播] <|video_begin|> + 11:27 [视频-关注/收藏/点赞/长播] <|video_begin|> + 12:01 [广告-点击] <|ad_begin|> + 12:31 [视频-收藏/点赞/长播] <|video_begin|> + 13:17 [视频-关注/长播] <|video_begin|> + 13:41 [视频-收藏/点赞/长播] <|video_begin|> + 13:41 [视频-关注/长播] <|video_begin|> + 13:57 [视频-收藏/点赞/长播] <|video_begin|> + 14:05 [视频-收藏/点赞/长播] <|video_begin|> + 14:56 [视频-收藏/点赞/长播] <|video_begin|> + 14:56 [视频-收藏/点赞/长播] <|video_begin|> + 14:56 [视频-关注/长播] <|video_begin|> + 16:00 [视频-收藏/点赞/长播] <|video_begin|> + 16:06 [视频-收藏/点赞/长播] <|video_begin|> + 16:37 [视频-收藏/点赞/长播] <|video_begin|> + 16:45 [视频-收藏/点赞/长播] <|video_begin|> +【2026-02-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + 02:14 [视频-收藏/点赞/长播] <|video_begin|> + 02:47 [视频-收藏/点赞/长播] <|video_begin|> + 03:03 [视频-收藏/点赞/长播] <|video_begin|> + 03:09 [视频-收藏/点赞/长播] <|video_begin|> + 03:09 [视频-收藏/点赞/长播] <|video_begin|> + 03:12 [视频-收藏/点赞/长播] <|video_begin|> + 04:46 [视频-关注/点赞/长播] <|video_begin|> + 04:57 [视频-关注/长播] <|video_begin|> + 05:38 [视频-收藏/点赞/长播] <|video_begin|> + 05:42 [广告-点击] <|ad_begin|> + 05:53 [视频-收藏/点赞/长播] <|video_begin|> + 06:05 [广告-点击] <|ad_begin|> + 06:47 [视频-收藏/点赞/长播] <|video_begin|> + 06:49 [视频-收藏/点赞/长播] <|video_begin|> + 07:00 [视频-点赞/长播] <|video_begin|> + 07:22 [视频-收藏/点赞/长播] <|video_begin|> + 08:49 [视频-点赞/长播] <|video_begin|> + 08:49 [视频-收藏/点赞/长播] <|video_begin|> + 09:07 [视频-收藏/点赞/长播] <|video_begin|> + 09:13 [视频-浏览] <|video_begin|> + 09:19 [视频-收藏/点赞/长播] <|video_begin|> + 09:34 [视频-点赞/长播] <|video_begin|> + 09:40 [视频-点赞/长播] <|video_begin|> + 09:44 [视频-点赞/长播] <|video_begin|> + 09:50 [视频-点赞/长播] <|video_begin|> + 09:50 [视频-关注/收藏/点赞/长播] <|video_begin|> + 10:00 [视频-关注/收藏/点赞/长播] <|video_begin|> + 11:19 [视频-点赞/长播] <|video_begin|> + 11:32 [视频-点赞/长播] <|video_begin|> + 11:32 [视频-关注/收藏/点赞/长播] <|video_begin|> + 12:48 [视频-点赞/长播] <|video_begin|> + 12:48 [视频-收藏/点赞/长播] <|video_begin|> + 13:55 [视频-收藏/长播] <|video_begin|> + 14:43 [视频-收藏/点赞/长播] <|video_begin|> + 15:07 [视频-点赞/长播] <|video_begin|> + 15:35 [视频-点赞/长播] <|video_begin|> + 15:47 [视频-点赞/长播] <|video_begin|> + 15:47 [视频-关注/点赞/长播] <|video_begin|> + 15:52 [视频-点赞/长播] <|video_begin|> +【2026-02-03】 + 01:52 [广告-点击] <|ad_begin|> + 02:43 [广告-点击] <|ad_begin|> + 06:02 [广告-点击] <|ad_begin|> + 10:58 [广告-点击] <|ad_begin|> +【2026-02-04】 + 13:36 [广告-点击] <|ad_begin|> +【2026-02-05】 + 03:19 [视频-关注/点赞/长播] <|video_begin|> + 03:25 [视频-收藏/点赞/长播] <|video_begin|> + 03:27 [视频-收藏/点赞/长播] <|video_begin|> + 03:29 [视频-点赞/长播] <|video_begin|> + 03:29 [视频-收藏/点赞/长播] <|video_begin|> + 03:51 [视频-收藏/点赞/长播] <|video_begin|> + 03:51 [视频-关注/收藏/点赞/长播] <|video_begin|> + 03:53 [视频-点赞/长播] <|video_begin|> + 03:53 [视频-收藏/点赞/长播] <|video_begin|> + 03:56 [视频-点赞/长播] <|video_begin|> + 04:08 [视频-关注/收藏/点赞/长播] <|video_begin|> + 04:12 [视频-点赞/长播] <|video_begin|> + 04:28 [视频-点赞/长播] <|video_begin|> + 04:32 [视频-点赞/长播] <|video_begin|> + 04:35 [视频-收藏/点赞/长播] <|video_begin|> + 04:35 [视频-收藏/点赞/长播] <|video_begin|> + 04:40 [视频-关注/长播] <|video_begin|> + 05:13 [视频-点赞/长播] <|video_begin|> + 05:16 [视频-点赞/长播] <|video_begin|> + 05:17 [视频-点赞/长播] <|video_begin|> + 05:17 [视频-收藏/点赞/长播] <|video_begin|> + 05:23 [视频-点赞/长播] <|video_begin|> + 05:36 [视频-点赞/长播] <|video_begin|> + 05:36 [视频-收藏/点赞/长播] <|video_begin|> + 05:43 [视频-关注/点赞/长播] <|video_begin|> + 06:51 [视频-点赞/长播] <|video_begin|> + 06:58 [视频-收藏/点赞/长播] <|video_begin|> + 07:03 [视频-关注/点赞/长播] <|video_begin|> + 07:05 [视频-点赞/长播] <|video_begin|> + 07:05 [视频-关注/点赞/长播] <|video_begin|> + 07:15 [视频-关注/长播] <|video_begin|> + 07:35 [视频-收藏/点赞/长播] <|video_begin|> + 07:41 [视频-点赞/长播] <|video_begin|> + 07:56 [视频-点赞/长播] <|video_begin|> + 08:38 [视频-点赞/长播] <|video_begin|> + 09:33 [视频-点赞/长播] <|video_begin|> + 10:00 [视频-收藏/点赞/长播] <|video_begin|> + 10:00 [视频-收藏/点赞/长播] <|video_begin|> + 10:06 [视频-点赞/长播] <|video_begin|> + 10:06 [视频-收藏/点赞/长播] <|video_begin|> + 10:14 [视频-收藏/点赞/长播] <|video_begin|> + 10:19 [视频-收藏/点赞/长播] <|video_begin|> + 10:19 [视频-收藏/点赞/长播] <|video_begin|> + 10:23 [视频-点赞/长播] <|video_begin|> + 10:24 [视频-点赞/长播] <|video_begin|> + 10:31 [视频-点赞/长播] <|video_begin|> + 10:38 [视频-收藏/点赞/长播] <|video_begin|> + 10:47 [视频-点赞/长播] <|video_begin|> + 10:50 [视频-点赞/长播] <|video_begin|> + 11:23 [视频-点赞/长播] <|video_begin|> + 11:25 [视频-收藏/点赞/长播] <|video_begin|> + 11:26 [视频-点赞/长播] <|video_begin|> + 11:30 [视频-长播] <|video_begin|> + 11:30 [视频-长播] <|video_begin|> + 11:32 [视频-长播] <|video_begin|> + 11:32 [视频-长播] <|video_begin|> + 11:32 [视频-长播] <|video_begin|> + 11:35 [视频-长播] <|video_begin|> + 11:35 [视频-长播] <|video_begin|> + 11:45 [视频-长播] <|video_begin|> + 11:45 [视频-长播] <|video_begin|> + 11:46 [视频-长播] <|video_begin|> + 11:46 [视频-长播] <|video_begin|> + 11:49 [广告-点击] <|ad_begin|> + 11:49 [视频-长播] <|video_begin|> + 11:52 [视频-长播] <|video_begin|> + 11:52 [视频-长播] <|video_begin|> + 11:54 [视频-长播] <|video_begin|> + 11:54 [视频-长播] <|video_begin|> + 12:05 [视频-长播] <|video_begin|> + 12:05 [视频-长播] <|video_begin|> + 12:05 [视频-长播] <|video_begin|> + 12:05 [视频-关注/收藏/点赞/长播] <|video_begin|> + 12:08 [视频-长播] <|video_begin|> + 12:17 [视频-点赞/长播] <|video_begin|> + 12:17 [视频-长播] <|video_begin|> + 12:17 [视频-长播] <|video_begin|> + 12:52 [视频-点赞/长播] <|video_begin|> + 12:52 [视频-长播] <|video_begin|> + 12:52 [视频-长播] <|video_begin|> + 12:54 [视频-长播] <|video_begin|> + 12:54 [视频-长播] <|video_begin|> + 13:00 [视频-长播] <|video_begin|> + 13:00 [视频-长播] <|video_begin|> + 13:00 [视频-长播] <|video_begin|> + 13:00 [视频-长播] <|video_begin|> + 13:06 [视频-点赞/长播] <|video_begin|> + 13:06 [视频-长播] <|video_begin|> + 13:06 [视频-长播] <|video_begin|> + 13:46 [视频-长播] <|video_begin|> + 13:46 [视频-长播] <|video_begin|> + 13:46 [视频-收藏/点赞/长播] <|video_begin|> + 13:58 [视频-点赞/长播] <|video_begin|> + 13:58 [视频-点赞/长播] <|video_begin|> + 13:58 [视频-长播] <|video_begin|> + 14:02 [视频-点赞/长播] <|video_begin|> + 14:02 [视频-点赞/长播] <|video_begin|> + 14:07 [视频-点赞/长播] <|video_begin|> + 14:07 [视频-长播] <|video_begin|> + 14:07 [视频-长播] <|video_begin|> + 14:10 [视频-长播] <|video_begin|> + 14:10 [视频-长播] <|video_begin|> + 14:15 [视频-点赞/长播] <|video_begin|> + 14:15 [视频-点赞/长播] <|video_begin|> + 14:15 [视频-关注/点赞/长播] <|video_begin|> + 14:26 [视频-长播] <|video_begin|> + 14:31 [视频-长播] <|video_begin|> + 14:31 [视频-收藏/点赞/长播] <|video_begin|> + 14:31 [视频-关注/长播] <|video_begin|> + 15:06 [视频-长播] <|video_begin|> + 15:06 [视频-长播] <|video_begin|> + 15:06 [视频-收藏/点赞/长播] <|video_begin|> + 15:11 [视频-长播] <|video_begin|> + 15:11 [视频-长播] <|video_begin|> + 15:11 [视频-长播] <|video_begin|> + 15:11 [视频-关注/点赞/长播] <|video_begin|> + 15:19 [视频-点赞/长播] <|video_begin|> + 15:19 [视频-长播] <|video_begin|> + 15:19 [视频-关注/长播] <|video_begin|> + 15:22 [视频-点赞/长播] <|video_begin|> + 15:22 [视频-长播] <|video_begin|> + 15:22 [视频-收藏/点赞/长播] <|video_begin|> + 15:29 [视频-长播] <|video_begin|> + 15:29 [视频-长播] <|video_begin|> + 15:29 [视频-收藏/点赞/长播] <|video_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：从泛化养宠到精细化健康管理的认知升级 + +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|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|video_begin|>", "<|video_begin|>", "<|video_begin|>"]<|im_end|> +<|im_start|>user +【用户交互历史】： +【2025-04-13】 + --:-- [直播-关注] <|living_begin|> +【2025-06-19】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-20】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-21】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-23】 + --:-- [直播-关注] <|living_begin|> +【2025-06-27】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-28】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-22】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-30】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-16】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-21】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-26】 + --:-- [商品-购买] <|prod_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|> +【2025-09-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-28】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-29】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-30】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-12】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-13】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-10】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-15】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-19】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-20】 + --:-- [直播-关注] <|living_begin|> +【2025-12-24】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-31】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-02】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-10】 + 03:52 [广告-深度转化] <|ad_begin|> + 11:59 [广告-深度转化] <|ad_begin|> +【2026-01-11】 + 00:38 [广告-深度转化] <|ad_begin|> + 01:10 [广告-深度转化] <|ad_begin|> + 01:10 [广告-深度转化] <|ad_begin|> + 07:09 [广告-深度转化] <|ad_begin|> + 07:10 [广告-深度转化] <|ad_begin|> +【2026-01-14】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-15】 + 09:40 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-16】 + 11:00 [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|> +【2026-01-17】 + 04:40 [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|> +【2026-01-18】 + 04:12 [广告-深度转化] <|ad_begin|> + 04:16 [广告-深度转化] <|ad_begin|> + 07:22 [广告-深度转化] <|ad_begin|> + 09:55 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-21】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-22】 + 12:00 [视频-转发/点赞/长播] <|video_begin|> +【2026-01-23】 + 01:30 [视频-评论/点赞/长播] <|video_begin|> + 09:34 [视频-关注/评论/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 23:25 [视频-评论/长播] <|video_begin|> +【2026-01-24】 + 00:07 [广告-深度转化] <|ad_begin|> + 01:18 [视频-收藏/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-25】 + 02:22 [视频-关注/长播] <|video_begin|> + 02:45 [视频-关注/长播] <|video_begin|> + 03:04 [广告-深度转化] <|ad_begin|> + 03:29 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 23:53 [视频-关注/长播] <|video_begin|> +【2026-01-26】 + --:-- [直播-关注] <|living_begin|> + 06:25 [广告-深度转化] <|ad_begin|> + 10:59 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-27】 + 04:12 [广告-深度转化] <|ad_begin|> + 04:44 [视频-转发/长播] <|video_begin|> + 08:40 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-28】 + 00:01 [广告-深度转化] <|ad_begin|> + 00:39 [广告-深度转化] <|ad_begin|> + 04:23 [视频-收藏/长播] <|video_begin|> + 05:00 [视频-评论/点赞/长播] <|video_begin|> + 05:52 [广告-深度转化] <|ad_begin|> + 06:10 [广告-深度转化] <|ad_begin|> + 07:47 [广告-深度转化] <|ad_begin|> + 07:53 [视频-评论/点赞/长播] <|video_begin|> + 10:56 [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|> + 14:05 [视频-转发/长播] <|video_begin|> + 14:37 [视频-转发/长播] <|video_begin|> + 15:13 [广告-深度转化] <|ad_begin|> +【2026-01-29】 + 03:29 [广告-深度转化] <|ad_begin|> + 05:44 [视频-评论/长播] <|video_begin|> + 08:36 [广告-深度转化] <|ad_begin|> + 09:26 [视频-点赞/长播] <|video_begin|> + 09:26 [视频-点赞/长播] <|video_begin|> + 09:26 [视频-点赞/长播] <|video_begin|> + 10:12 [广告-深度转化] <|ad_begin|> + 11:17 [广告-深度转化] <|ad_begin|> + 11:38 [视频-关注/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 15:27 [视频-点赞/长播] <|video_begin|> +【2026-01-30】 + 00:59 [广告-深度转化] <|ad_begin|> + 02:29 [广告-深度转化] <|ad_begin|> + 06:37 [视频-点赞/长播] <|video_begin|> + 07:58 [视频-点赞/长播] <|video_begin|> + 08:29 [视频-点赞/长播] <|video_begin|> + 09:27 [视频-点赞/长播] <|video_begin|> + 09:34 [视频-点赞/长播] <|video_begin|> + 10:08 [广告-深度转化] <|ad_begin|> + 10:11 [广告-点击] <|ad_begin|> + 10:12 [广告-点击] <|ad_begin|> + 10:12 [视频-点赞/长播] <|video_begin|> + 10:12 [视频-点赞/长播] <|video_begin|> + 10:13 [广告-点击] <|ad_begin|> + 10:27 [广告-深度转化] <|ad_begin|> + 10:27 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 12:34 [视频-评论/长播] <|video_begin|> +【2026-01-31】 + 00:27 [广告-深度转化] <|ad_begin|> + 00:27 [广告-点击] <|ad_begin|> + 00:30 [广告-深度转化] <|ad_begin|> + 00:30 [广告-点击] <|ad_begin|> + 00:33 [广告-深度转化] <|ad_begin|> + 00:33 [广告-点击] <|ad_begin|> + 00:40 [广告-深度转化] <|ad_begin|> + 00:40 [广告-点击] <|ad_begin|> + 00:45 [广告-深度转化] <|ad_begin|> + 00:45 [广告-点击] <|ad_begin|> + 01:02 [广告-深度转化] <|ad_begin|> + 01:02 [广告-点击] <|ad_begin|> + 01:04 [视频-收藏/长播] <|video_begin|> + 01:10 [视频-收藏/点赞/长播] <|video_begin|> + 01:35 [视频-点赞/长播] <|video_begin|> + 02:17 [视频-点赞/长播] <|video_begin|> + 06:45 [广告-深度转化] <|ad_begin|> + 06:45 [广告-点击] <|ad_begin|> + 06:46 [广告-点击] <|ad_begin|> + 07:22 [视频-收藏/长播] <|video_begin|> + 07:35 [广告-深度转化] <|ad_begin|> + 07:35 [广告-点击] <|ad_begin|> + 08:24 [视频-点赞/长播] <|video_begin|> + 08:37 [视频-点赞/长播] <|video_begin|> + 08:47 [广告-点击] <|ad_begin|> + 09:01 [视频-点赞/长播] <|video_begin|> + 09:22 [广告-点击] <|ad_begin|> + 11:13 [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|> + 14:14 [广告-深度转化] <|ad_begin|> + 14:14 [广告-点击] <|ad_begin|> +【2026-02-01】 + 03:55 [广告-深度转化] <|ad_begin|> + 03:55 [广告-点击] <|ad_begin|> + 04:00 [广告-点击] <|ad_begin|> + 04:03 [广告-点击] <|ad_begin|> + 04:58 [广告-深度转化] <|ad_begin|> + 04:58 [广告-点击] <|ad_begin|> + 09:53 [广告-点击] <|ad_begin|> + 10:44 [视频-点赞/长播] <|video_begin|> + 11:39 [广告-深度转化] <|ad_begin|> + 11:39 [广告-点击] <|ad_begin|> + 11:56 [广告-点击] <|ad_begin|> + 11:58 [视频-点赞/长播] <|video_begin|> + 11:58 [视频-点赞/长播] <|video_begin|> + 12:15 [视频-点赞/长播] <|video_begin|> + 12:15 [视频-点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 13:19 [视频-点赞/长播] <|video_begin|> + 14:04 [广告-深度转化] <|ad_begin|> + 14:04 [广告-点击] <|ad_begin|> + 14:12 [广告-点击] <|ad_begin|> + 15:19 [视频-点赞/长播] <|video_begin|> + 15:19 [视频-关注/长播] <|video_begin|> +【2026-02-02】 + 00:50 [视频-评论/长播] <|video_begin|> + 01:14 [视频-转发/长播] <|video_begin|> + 01:20 [视频-收藏/长播] <|video_begin|> + 02:54 [广告-深度转化] <|ad_begin|> + 02:54 [广告-点击] <|ad_begin|> + 03:27 [广告-点击] <|ad_begin|> + 03:37 [广告-点击] <|ad_begin|> + 05:17 [视频-收藏/长播] <|video_begin|> + 05:24 [广告-深度转化] <|ad_begin|> + 05:24 [广告-点击] <|ad_begin|> + 08:10 [广告-深度转化] <|ad_begin|> + 08:10 [广告-点击] <|ad_begin|> + 09:38 [视频-点赞/长播] <|video_begin|> + 10:18 [广告-点击] <|ad_begin|> + 11:02 [广告-深度转化] <|ad_begin|> + 11:02 [广告-点击] <|ad_begin|> + 11:49 [视频-点赞/长播] <|video_begin|> + 11:49 [视频-转发/点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 23:51 [广告-点击] <|ad_begin|> + 23:52 [视频-转发/长播] <|video_begin|> +【2026-02-03】 + 00:07 [广告-点击] <|ad_begin|> + 01:13 [广告-深度转化] <|ad_begin|> + 01:13 [广告-点击] <|ad_begin|> + 02:39 [视频-点赞/长播] <|video_begin|> + 03:19 [广告-深度转化] <|ad_begin|> + 03:19 [广告-点击] <|ad_begin|> + 03:41 [广告-深度转化] <|ad_begin|> + 03:41 [广告-点击] <|ad_begin|> + 03:43 [广告-深度转化] <|ad_begin|> + 03:43 [广告-点击] <|ad_begin|> + 04:50 [广告-点击] <|ad_begin|> + 05:09 [视频-点赞/长播] <|video_begin|> + 05:35 [视频-评论/长播] <|video_begin|> + 07:47 [广告-点击] <|ad_begin|> + 07:56 [广告-深度转化] <|ad_begin|> + 07:56 [广告-点击] <|ad_begin|> + 08:09 [视频-点赞/长播] <|video_begin|> + 08:22 [广告-点击] <|ad_begin|> + 09:23 [视频-点赞/长播] <|video_begin|> + 09:40 [广告-点击] <|ad_begin|> + 10:30 [视频-点赞/长播] <|video_begin|> + 10:30 [视频-点赞/长播] <|video_begin|> + 12:04 [视频-点赞/长播] <|video_begin|> + 12:04 [视频-点赞/长播] <|video_begin|> + 12:23 [视频-点赞/长播] <|video_begin|> + 12:23 [视频-点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 13:55 [广告-深度转化] <|ad_begin|> + 13:55 [广告-点击] <|ad_begin|> +【2026-02-04】 + 00:19 [广告-点击] <|ad_begin|> + 00:24 [视频-收藏/长播] <|video_begin|> + 03:25 [广告-深度转化] <|ad_begin|> + 03:25 [广告-点击] <|ad_begin|> + 03:37 [视频-点赞/长播] <|video_begin|> + 03:38 [广告-深度转化] <|ad_begin|> + 03:38 [广告-点击] <|ad_begin|> + 03:52 [广告-点击] <|ad_begin|> + 05:29 [广告-点击] <|ad_begin|> + 06:34 [视频-点赞/长播] <|video_begin|> + 06:51 [广告-点击] <|ad_begin|> + 06:55 [视频-点赞/长播] <|video_begin|> + 07:30 [视频-点赞/长播] <|video_begin|> + 07:45 [视频-点赞/长播] <|video_begin|> + 07:48 [广告-深度转化] <|ad_begin|> + 07:48 [广告-点击] <|ad_begin|> + 09:26 [广告-点击] <|ad_begin|> + 09:31 [广告-点击] <|ad_begin|> + 10:06 [广告-点击] <|ad_begin|> + 12:15 [视频-点赞/长播] <|video_begin|> + 12:15 [视频-关注/点赞/长播] <|video_begin|> + 12:42 [广告-深度转化] <|ad_begin|> + 12:42 [广告-点击] <|ad_begin|> + 12:43 [广告-点击] <|ad_begin|> + 23:55 [广告-深度转化] <|ad_begin|> + 23:55 [广告-点击] <|ad_begin|> +【2026-02-05】 + 00:07 [广告-深度转化] <|ad_begin|> + 00:07 [广告-点击] <|ad_begin|> + 00:59 [视频-点赞/长播] <|video_begin|> + 01:31 [视频-转发/长播] <|video_begin|> + 01:58 [视频-点赞/长播] <|video_begin|> + 03:28 [广告-深度转化] <|ad_begin|> + 03:28 [广告-点击] <|ad_begin|> + 03:44 [广告-点击] <|ad_begin|> + 04:36 [广告-深度转化] <|ad_begin|> + 04:36 [广告-点击] <|ad_begin|> + 06:07 [视频-点赞/长播] <|video_begin|> + 07:07 [视频-点赞/长播] <|video_begin|> + 07:10 [广告-点击] <|ad_begin|> + 07:18 [广告-深度转化] <|ad_begin|> + 07:18 [广告-点击] <|ad_begin|> + 07:45 [视频-长播] <|video_begin|> + 07:45 [视频-长播] <|video_begin|> + 07:45 [视频-长播] <|video_begin|> + 07:45 [视频-长播] <|video_begin|> + 07:52 [视频-长播] <|video_begin|> + 07:52 [视频-长播] <|video_begin|> + 07:52 [视频-长播] <|video_begin|> + 08:00 [广告-点击] <|ad_begin|> + 08:16 [视频-长播] <|video_begin|> + 08:27 [视频-长播] <|video_begin|> + 08:27 [视频-长播] <|video_begin|> + 08:36 [广告-点击] <|ad_begin|> + 08:39 [视频-收藏/点赞/长播] <|video_begin|> + 08:56 [视频-长播] <|video_begin|> + 09:16 [视频-长播] <|video_begin|> + 09:16 [视频-长播] <|video_begin|> + 10:04 [视频-点赞/长播] <|video_begin|> + 10:17 [视频-长播] <|video_begin|> + 10:38 [视频-长播] <|video_begin|> + 10:38 [视频-长播] <|video_begin|> + 10:38 [视频-长播] <|video_begin|> + 10:38 [视频-长播] <|video_begin|> + 11:05 [视频-长播] <|video_begin|> + 11:05 [视频-长播] <|video_begin|> + 11:05 [视频-长播] <|video_begin|> + 11:19 [视频-长播] <|video_begin|> + 11:19 [视频-点赞/长播] <|video_begin|> + 11:19 [视频-点赞/长播] <|video_begin|> + 11:22 [视频-长播] <|video_begin|> + 11:40 [视频-长播] <|video_begin|> + 11:40 [视频-长播] <|video_begin|> + 11:40 [视频-长播] <|video_begin|> + 11:40 [视频-长播] <|video_begin|> + 11:40 [视频-点赞/长播] <|video_begin|> + 11:40 [视频-长播] <|video_begin|> + 11:40 [视频-长播] <|video_begin|> + 11:50 [视频-长播] <|video_begin|> + 11:50 [视频-长播] <|video_begin|> + 11:50 [视频-长播] <|video_begin|> + 11:51 [广告-深度转化] <|ad_begin|> + 11:51 [广告-点击] <|ad_begin|> + 11:59 [广告-点击] <|ad_begin|> + 12:05 [广告-点击] <|ad_begin|> + 12:06 [视频-长播] <|video_begin|> + 12:06 [视频-长播] <|video_begin|> + 12:06 [视频-长播] <|video_begin|> + 12:18 [视频-长播] <|video_begin|> + 13:03 [广告-深度转化] <|ad_begin|> + 13:03 [广告-点击] <|ad_begin|> + 13:16 [视频-长播] <|video_begin|> + 13:16 [视频-长播] <|video_begin|> + 13:16 [视频-评论/长播] <|video_begin|> + 13:24 [视频-长播] <|video_begin|> + 13:24 [视频-长播] <|video_begin|> + 13:35 [视频-长播] <|video_begin|> + 13:35 [视频-长播] <|video_begin|> + 13:35 [视频-长播] <|video_begin|> + 13:35 [视频-长播] <|video_begin|> + 13:35 [视频-长播] <|video_begin|> + 13:44 [广告-点击] <|ad_begin|> + 13:58 [视频-长播] <|video_begin|> + 14:42 [视频-长播] <|video_begin|> + 14:42 [视频-长播] <|video_begin|> + 14:42 [视频-长播] <|video_begin|> + 14:42 [视频-长播] <|video_begin|> + +角色任务：你是极端严苛的用户行为数据挖掘与数据格式化专家，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：从泛化农事需求到精准病虫害防治的认知收敛 + +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 +【用户交互历史】： +【2024-12-15】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-12-29】 + --:-- [商品-购买] <|prod_begin|> +【2024-12-31】 + --:-- [商品-购买] <|prod_begin|> +【2025-01-04】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-01-07】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-01-08】 + --:-- [直播-关注] <|living_begin|> +【2025-01-09】 + --:-- [直播-关注] <|living_begin|> +【2025-01-14】 + --:-- [商品-购买] <|prod_begin|> +【2025-01-15】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-01-16】 + --:-- [商品-购买] <|prod_begin|> +【2025-01-17】 + --:-- [商品-购买] <|prod_begin|> +【2025-01-18】 + --:-- [商品-购买] <|prod_begin|> +【2025-01-21】 + --:-- [商品-购买] <|prod_begin|> +【2025-01-22】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-01-23】 + --:-- [直播-关注] <|living_begin|> +【2025-01-25】 + --:-- [直播-关注] <|living_begin|> +【2025-02-05】 + --:-- [直播-关注] <|living_begin|> +【2025-02-07】 + --:-- [直播-关注] <|living_begin|> +【2025-02-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-02-09】 + --:-- [直播-关注] <|living_begin|> +【2025-02-10】 + --:-- [直播-关注] <|living_begin|> +【2025-02-15】 + --:-- [直播-关注] <|living_begin|> +【2025-02-16】 + --:-- [商品-购买] <|prod_begin|> +【2025-02-17】 + --:-- [直播-关注] <|living_begin|> +【2025-02-20】 + --:-- [直播-关注] <|living_begin|> +【2025-02-26】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-03-02】 + --:-- [直播-关注] <|living_begin|> +【2025-03-09】 + --:-- [直播-关注] <|living_begin|> +【2025-03-16】 + --:-- [直播-关注] <|living_begin|> +【2025-04-05】 + --:-- [直播-关注] <|living_begin|> +【2025-04-07】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-04-24】 + --:-- [直播-关注] <|living_begin|> +【2025-05-04】 + --:-- [直播-关注] <|living_begin|> +【2025-05-15】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-29】 + --:-- [直播-关注] <|living_begin|> +【2025-06-01】 + --:-- [直播-关注] <|living_begin|> +【2025-06-09】 + --:-- [直播-关注] <|living_begin|> +【2025-06-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-14】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-15】 + --:-- [直播-关注] <|living_begin|> +【2025-06-28】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-09】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-07-20】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-21】 + --:-- [直播-关注] <|living_begin|> +【2025-07-22】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-23】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-29】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-30】 + --:-- [直播-关注] <|living_begin|> +【2025-08-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-03】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-08-10】 + --:-- [直播-关注] <|living_begin|> +【2025-08-12】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-14】 + --:-- [直播-关注] <|living_begin|> +【2025-08-23】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-24】 + --:-- [直播-关注] <|living_begin|> +【2025-08-25】 + --:-- [直播-打赏] <|living_begin|> +【2025-09-19】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-17】 + --:-- [直播-关注] <|living_begin|> +【2025-10-19】 + --:-- [直播-关注] <|living_begin|> +【2025-10-30】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-19】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-20】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-21】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-22】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-27】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-02】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-09】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-11】 + --:-- [直播-关注] <|living_begin|> +【2025-12-14】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-16】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-19】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-23】 + 11:21 [广告-深度转化] <|ad_begin|> + 12:21 [广告-深度转化] <|ad_begin|> +【2025-12-24】 + --:-- [直播-关注] <|living_begin|> + 00:12 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 11:07 [广告-深度转化] <|ad_begin|> + 21:00 [广告-深度转化] <|ad_begin|> + 22:19 [广告-深度转化] <|ad_begin|> +【2025-12-25】 + --:-- [商品-点击] <|prod_begin|> + 14:02 [广告-深度转化] <|ad_begin|> +【2025-12-26】 + 11:09 [广告-深度转化] <|ad_begin|> + 13:06 [广告-深度转化] <|ad_begin|> + 22:19 [广告-深度转化] <|ad_begin|> +【2025-12-27】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-28】 + 00:30 [广告-深度转化] <|ad_begin|> + 20:02 [广告-深度转化] <|ad_begin|> +【2025-12-29】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-30】 + --:-- [商品-点击] <|prod_begin|> + 14:55 [广告-深度转化] <|ad_begin|> + 17:23 [广告-深度转化] <|ad_begin|> +【2025-12-31】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 10:28 [广告-深度转化] <|ad_begin|> + 13:25 [广告-深度转化] <|ad_begin|> + 22:48 [广告-深度转化] <|ad_begin|> +【2026-01-01】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 09:57 [广告-深度转化] <|ad_begin|> + 20:57 [广告-点击] <|ad_begin|> + 21:02 [广告-点击] <|ad_begin|> +【2026-01-02】 + 07:41 [广告-深度转化] <|ad_begin|> + 07:41 [广告-点击] <|ad_begin|> + 08:02 [广告-深度转化] <|ad_begin|> + 08:02 [广告-点击] <|ad_begin|> + 11:45 [广告-点击] <|ad_begin|> + 14:26 [广告-深度转化] <|ad_begin|> + 14:26 [广告-点击] <|ad_begin|> +【2026-01-03】 + --:-- [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|> + 21:59 [广告-深度转化] <|ad_begin|> + 21:59 [广告-点击] <|ad_begin|> + 23:25 [广告-点击] <|ad_begin|> +【2026-01-04】 + 21:29 [广告-深度转化] <|ad_begin|> + 21:29 [广告-点击] <|ad_begin|> +【2026-01-05】 + --:-- [直播-关注] <|living_begin|> + 02:54 [广告-深度转化] <|ad_begin|> + 02:54 [广告-点击] <|ad_begin|> + 09:31 [广告-点击] <|ad_begin|> + 23:18 [广告-深度转化] <|ad_begin|> + 23:18 [广告-点击] <|ad_begin|> +【2026-01-06】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-07】 + 07:34 [广告-点击] <|ad_begin|> + 21:30 [广告-点击] <|ad_begin|> +【2026-01-08】 + 23:48 [广告-深度转化] <|ad_begin|> + 23:48 [广告-点击] <|ad_begin|> +【2026-01-09】 + --:-- [直播-关注] <|living_begin|> +【2026-01-10】 + 08:07 [广告-深度转化] <|ad_begin|> + 08:07 [广告-点击] <|ad_begin|> + 08:53 [广告-点击] <|ad_begin|> + 09:40 [广告-深度转化] <|ad_begin|> + 09:40 [广告-点击] <|ad_begin|> + 23:12 [广告-深度转化] <|ad_begin|> + 23:12 [广告-点击] <|ad_begin|> +【2026-01-11】 + --:-- [商品-点击] <|prod_begin|> + 11:01 [广告-深度转化] <|ad_begin|> + 11:01 [广告-点击] <|ad_begin|> + 13:28 [广告-深度转化] <|ad_begin|> + 13:28 [广告-点击] <|ad_begin|> +【2026-01-12】 + 03:07 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 08:01 [广告-深度转化] <|ad_begin|> + 08:01 [广告-点击] <|ad_begin|> + 14:08 [广告-深度转化] <|ad_begin|> + 14:08 [广告-点击] <|ad_begin|> + 14:31 [广告-深度转化] <|ad_begin|> + 14:31 [广告-点击] <|ad_begin|> + 19:55 [广告-深度转化] <|ad_begin|> + 19:55 [广告-点击] <|ad_begin|> + 20:20 [广告-深度转化] <|ad_begin|> + 20:20 [广告-点击] <|ad_begin|> +【2026-01-13】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 21:34 [广告-深度转化] <|ad_begin|> + 21:34 [广告-点击] <|ad_begin|> +【2026-01-14】 + 03:24 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-15】 + 13:55 [广告-点击] <|ad_begin|> + 14:43 [广告-深度转化] <|ad_begin|> + 14:43 [广告-点击] <|ad_begin|> +【2026-01-16】 + --:-- [直播-关注] <|living_begin|> + 23:10 [广告-深度转化] <|ad_begin|> + 23:10 [广告-点击] <|ad_begin|> +【2026-01-18】 + 22:22 [广告-深度转化] <|ad_begin|> + 22:22 [广告-点击] <|ad_begin|> + 22:38 [广告-深度转化] <|ad_begin|> + 22:38 [广告-点击] <|ad_begin|> +【2026-01-19】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 21:12 [广告-点击] <|ad_begin|> + 21:35 [广告-深度转化] <|ad_begin|> + 21:35 [广告-点击] <|ad_begin|> +【2026-01-20】 + --:-- [商品-点击] <|prod_begin|> + 12:52 [广告-深度转化] <|ad_begin|> + 12:52 [广告-点击] <|ad_begin|> + 14:33 [广告-深度转化] <|ad_begin|> + 14:33 [广告-点击] <|ad_begin|> +【2026-01-21】 + --:-- [商品-点击] <|prod_begin|> + 22:15 [广告-深度转化] <|ad_begin|> + 22:15 [广告-点击] <|ad_begin|> +【2026-01-22】 + 00:34 [广告-深度转化] <|ad_begin|> + 00:34 [广告-点击] <|ad_begin|> + 09:37 [视频-浏览] <|video_begin|> + 09:57 [广告-深度转化] <|ad_begin|> + 09:57 [广告-点击] <|ad_begin|> + 11:49 [广告-点击] <|ad_begin|> + 21:07 [广告-深度转化] <|ad_begin|> + 21:07 [广告-点击] <|ad_begin|> + 22:58 [广告-深度转化] <|ad_begin|> + 22:58 [广告-点击] <|ad_begin|> +【2026-01-23】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 23:25 [广告-深度转化] <|ad_begin|> + 23:25 [广告-点击] <|ad_begin|> +【2026-01-24】 + 03:57 [广告-深度转化] <|ad_begin|> + 03:57 [广告-点击] <|ad_begin|> +【2026-01-25】 + 23:59 [广告-深度转化] <|ad_begin|> + 23:59 [广告-点击] <|ad_begin|> +【2026-01-27】 + 07:55 [视频-长播] <|video_begin|> + 07:55 [视频-长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 07:58 [视频-长播] <|video_begin|> + 07:58 [视频-长播] <|video_begin|> + 07:58 [视频-长播] <|video_begin|> + 22:55 [广告-深度转化] <|ad_begin|> + 22:55 [广告-点击] <|ad_begin|> +【2026-01-28】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 21:13 [视频-长播] <|video_begin|> + 21:13 [视频-长播] <|video_begin|> + 21:13 [视频-长播] <|video_begin|> +【2026-01-29】 + --:-- [商品-点击] <|prod_begin|> + 08:05 [视频-长播] <|video_begin|> + 08:05 [视频-长播] <|video_begin|> + 08:05 [视频-长播] <|video_begin|> + 08:18 [广告-深度转化] <|ad_begin|> + 08:18 [广告-点击] <|ad_begin|> + 21:03 [视频-长播] <|video_begin|> + 21:03 [视频-长播] <|video_begin|> + 21:18 [广告-深度转化] <|ad_begin|> + 21:18 [广告-点击] <|ad_begin|> + 22:26 [视频-长播] <|video_begin|> + 22:43 [广告-深度转化] <|ad_begin|> + 22:43 [广告-点击] <|ad_begin|> +【2026-01-30】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 15:09 [广告-深度转化] <|ad_begin|> + 15:09 [广告-点击] <|ad_begin|> + 21:56 [视频-长播] <|video_begin|> + 21:56 [视频-长播] <|video_begin|> + 21:56 [视频-长播] <|video_begin|> + 21:59 [广告-点击] <|ad_begin|> + 22:07 [视频-长播] <|video_begin|> + 22:12 [视频-长播] <|video_begin|> + 22:14 [视频-长播] <|video_begin|> + 22:14 [视频-长播] <|video_begin|> + 22:20 [视频-长播] <|video_begin|> +【2026-01-31】 + 22:05 [视频-长播] <|video_begin|> + 22:05 [视频-长播] <|video_begin|> + 23:11 [广告-深度转化] <|ad_begin|> + 23:11 [广告-点击] <|ad_begin|> +【2026-02-01】 + --:-- [商品-点击] <|prod_begin|> + 08:27 [视频-长播] <|video_begin|> + 08:27 [视频-长播] <|video_begin|> + 08:37 [广告-深度转化] <|ad_begin|> + 08:37 [广告-点击] <|ad_begin|> + 12:27 [广告-深度转化] <|ad_begin|> + 12:27 [广告-点击] <|ad_begin|> + 20:54 [视频-长播] <|video_begin|> + 20:57 [视频-长播] <|video_begin|> + 21:10 [视频-长播] <|video_begin|> + 21:10 [视频-长播] <|video_begin|> + 21:13 [视频-长播] <|video_begin|> + 21:20 [视频-长播] <|video_begin|> +【2026-02-02】 + 00:48 [视频-长播] <|video_begin|> + 00:48 [视频-长播] <|video_begin|> + 00:48 [视频-长播] <|video_begin|> + 07:43 [广告-点击] <|ad_begin|> + 20:56 [广告-深度转化] <|ad_begin|> + 20:56 [广告-点击] <|ad_begin|> + 23:07 [视频-长播] <|video_begin|> + 23:07 [视频-关注/长播] <|video_begin|> + 23:09 [广告-点击] <|ad_begin|> + 23:20 [广告-深度转化] <|ad_begin|> + 23:20 [广告-点击] <|ad_begin|> +【2026-02-03】 + --:-- [商品-点击] <|prod_begin|> + 10:27 [视频-长播] <|video_begin|> + 10:27 [视频-长播] <|video_begin|> + 10:50 [视频-长播] <|video_begin|> + 12:11 [广告-深度转化] <|ad_begin|> + 12:11 [广告-点击] <|ad_begin|> + 13:09 [视频-长播] <|video_begin|> + 13:09 [视频-收藏/长播] <|video_begin|> + 13:36 [广告-深度转化] <|ad_begin|> + 13:36 [广告-点击] <|ad_begin|> + 22:00 [广告-深度转化] <|ad_begin|> + 22:00 [广告-点击] <|ad_begin|> +【2026-02-04】 + 07:09 [广告-点击] <|ad_begin|> + 07:15 [广告-深度转化] <|ad_begin|> + 07:15 [广告-点击] <|ad_begin|> + 07:33 [视频-长播] <|video_begin|> + 07:43 [广告-深度转化] <|ad_begin|> + 07:43 [广告-点击] <|ad_begin|> + 21:12 [广告-深度转化] <|ad_begin|> + 21:12 [广告-点击] <|ad_begin|> +【2026-02-05】 + 00:07 [广告-深度转化] <|ad_begin|> + 00:07 [广告-点击] <|ad_begin|> + 00:42 [视频-长播] <|video_begin|> + 00:45 [视频-长播] <|video_begin|> + 00:45 [视频-长播] <|video_begin|> + 00:46 [视频-长播] <|video_begin|> + 00:48 [视频-长播] <|video_begin|> + 00:48 [视频-长播] <|video_begin|> + 00:48 [视频-长播] <|video_begin|> + 00:54 [视频-长播] <|video_begin|> + 01:00 [广告-深度转化] <|ad_begin|> + 01:00 [广告-点击] <|ad_begin|> + 07:05 [视频-长播] <|video_begin|> + 07:11 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + +角色任务：你将作为一个极端严苛的用户行为数据挖掘专家和数据格式化专家，依据以上用户交互历史，围绕目标主题，精确提取出所有相关的历史交互信息。 + +主题：从被动接收到主动决策的二手车置换意图演化 + +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|>","<|video_begin|>","<|living_begin|>"]<|im_end|> +<|im_start|>user +这家餐厅的菜单结构混乱，请重新设计一份菜单，将菜品按"主食"、"小吃"、"饮品"分类，并标注热量信息。/think<|im_end|> +<|im_start|>assistant + +嗯，用户提到这家餐厅的菜单结构混乱，需要重新设计。看来用户可能是餐厅管理者或负责菜单优化的人员，希望提升顾客的点餐体验和健康信息的透明度。 + +用户明确要求按“主食”、“小吃”、“饮品”分类，并标注热量信息。这三点是核心需求，但可能还有其他隐含需求，比如希望菜单看起来更专业、更吸引人，或者符合健康饮食趋势。用户可能还希望菜单设计能促进高利润菜品的销售，不过这一点没有明说，暂时不作为主要考虑。 + +先从分类入手。“主食”应该包括米饭、面条、包子等能作为一餐核心的菜品；“小吃”则是供分享或搭配的小份菜品；“饮品”自然包括所有饮料。热量标注需要准确，最好能提供大致的范围，因为实际热量可能因食材批次或烹饪方式略有差异。 + +用户没有提供具体菜品，所以需要假设一些常见菜品来举例。比如主食可以有米饭、炒面、汉堡；小吃可以有炸鸡翅、沙拉；饮品有可乐、果汁。这样能展示分类逻辑和热量标注格式。 + +另外，菜单的视觉呈现也很重要。用户可能希望新菜单不仅分类清晰，还要美观易读。可以考虑添加简短描述、图标或分栏设计，但用户没有明确要求，所以先聚焦在基础结构上。 + +最后，提醒用户根据实际菜品调整，并建议核对热量数据的准确性，因为热量计算可能需要专业工具或营养师协助。这样既能满足用户需求，又能避免给出错误信息。 + +根据您的要求，现设计一份结构清晰、分类明确并标注热量的菜单模板如下。您可根据餐厅实际菜品进行替换与调整： + +--- + +### **【餐厅名称】焕新菜单** +#### （所有热量均为估算值，实际可能因食材、份量略有浮动） + +--- + +### **🍚 主食 | MAIN COURSES** +*以谷物、面点或主菜为核心的一餐选择* +1. **招牌牛肉炒饭** + 热量：约 650 kcal + *（米饭、牛肉粒、鸡蛋、胡萝卜、青豆）* + +2. **香辣鸡腿堡套餐** + 热量：约 720 kcal + *（汉堡包、炸鸡腿、生菜、番茄、薯条150g）* + +3. **日式照烧鸡排饭** + 热量：约 580 kcal + *（鸡排、米饭、西兰花、照烧汁）* + +4. **素菜荞麦面（冷/热）** + 热量：约 420 kcal + *（荞麦面、黄瓜丝、豆芽、芝麻酱/味噌汤）* + +--- + +### **🍢 小吃 | SNACKS & APPETIZERS** +*适合分享或搭配的小份菜品* +1. **酥炸黄金鸡翅（6块）** + 热量：约 320 kcal + *（配蜂蜜芥末酱）* + +2. **凯撒沙拉（小份）** + 热量：约 280 kcal + *（罗马生菜、面包丁、帕玛森奶酪、凯撒酱）* + +3. **蒜香橄榄油烤蔬菜串** + 热量：约 180 kcal + *（彩椒、蘑菇、小番茄）* + +4. **手工芝士春卷（3个）** + 热量：约 210 kcal + *（马苏里拉芝士、韭菜）* + +--- + +### **🥤 饮品 | BEVERAGES** +*解渴、佐餐或提神之选* +1. **鲜榨西瓜汁（500ml）** + 热量：约 160 kcal + *（无添加糖）* + +2. **冰摇茉莉蜜茶（700ml）** + 热量：约 210 kcal + *（含糖，可调整甜度）* + +3. **美式咖啡（热/冰）** + 热量：约 5 kcal + *（黑咖啡，可选脱脂奶/燕麦奶）* + +4. **经典珍珠奶茶（中杯）** + 热量：约 380 kcal + *（含糖，可选无糖、少糖）* + +--- + +### ✨ **菜单设计说明** +1. **分类逻辑** + - **主食**：提供饱腹感的主菜组合，适合作为一餐核心。 + - **小吃**：分量较小，可单点或搭配主食，满足多样化需求。 + - **饮品**：独立成类，方便顾客快速浏览。 + +2. **热量标注建议** + - 若菜品有不同规格（如大/小份），需分别标注。 + - 酱料、可选配料的热量建议单独备注（如“沙拉酱另计约100kcal”）。 + +3. **延伸优化方向** + - 增加 **“低卡推荐”** 图标（如热量＜300 kcal的菜品）。 + - 可增设 **“套餐组合”** 栏，如“主食+饮品+小吃套餐立减X元”。 + - 提供 **过敏原/素食标识**（如含麸质、坚果、纯素等）。 + +--- + +### 📌 **给餐厅的行动建议** +1. 核对菜品实际热量（建议使用营养计算软件或咨询专业营养师）。 +2. 结合菜品毛利率，在排版上可微调位置（如高利润菜品置顶）。 +3. 菜单材质建议选用易擦写材质，方便后续季节性更新。 + +如果需要，我可进一步为您设计视觉排版（如分栏布局、图标风格），或针对特定菜系（如中餐、西餐）定制模板。<|im_end|> +<|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|> +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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"<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|ad_begin|>", "<|video_begin|>", "<|video_begin|>", "<|video_begin|>"]<|im_end|> + + +["<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>", "<|prod_begin|>"]<|im_end|> + + +["<|ad_begin|>","<|video_begin|>","<|living_begin|>"]<|im_end|> + +嗯，用户提到这家餐厅的菜单结构混乱，需要重新设计。看来用户可能是餐厅管理者或负责菜单优化的人员，希望提升顾客的点餐体验和健康信息的透明度。 + +用户明确要求按“主食”、“小吃”、“饮品”分类，并标注热量信息。这三点是核心需求，但可能还有其他隐含需求，比如希望菜单看起来更专业、更吸引人，或者符合健康饮食趋势。用户可能还希望菜单设计能促进高利润菜品的销售，不过这一点没有明说，暂时不作为主要考虑。 + +先从分类入手。“主食”应该包括米饭、面条、包子等能作为一餐核心的菜品；“小吃”则是供分享或搭配的小份菜品；“饮品”自然包括所有饮料。热量标注需要准确，最好能提供大致的范围，因为实际热量可能因食材批次或烹饪方式略有差异。 + +用户没有提供具体菜品，所以需要假设一些常见菜品来举例。比如主食可以有米饭、炒面、汉堡；小吃可以有炸鸡翅、沙拉；饮品有可乐、果汁。这样能展示分类逻辑和热量标注格式。 + +另外，菜单的视觉呈现也很重要。用户可能希望新菜单不仅分类清晰，还要美观易读。可以考虑添加简短描述、图标或分栏设计，但用户没有明确要求，所以先聚焦在基础结构上。 + +最后，提醒用户根据实际菜品调整，并建议核对热量数据的准确性，因为热量计算可能需要专业工具或营养师协助。这样既能满足用户需求，又能避免给出错误信息。 + +根据您的要求，现设计一份结构清晰、分类明确并标注热量的菜单模板如下。您可根据餐厅实际菜品进行替换与调整： + +--- + +### **【餐厅名称】焕新菜单** +#### （所有热量均为估算值，实际可能因食材、份量略有浮动） + +--- + +### **🍚 主食 | MAIN COURSES** +*以谷物、面点或主菜为核心的一餐选择* +1. **招牌牛肉炒饭** + 热量：约 650 kcal + *（米饭、牛肉粒、鸡蛋、胡萝卜、青豆）* + +2. **香辣鸡腿堡套餐** + 热量：约 720 kcal + *（汉堡包、炸鸡腿、生菜、番茄、薯条150g）* + +3. **日式照烧鸡排饭** + 热量：约 580 kcal + *（鸡排、米饭、西兰花、照烧汁）* + +4. **素菜荞麦面（冷/热）** + 热量：约 420 kcal + *（荞麦面、黄瓜丝、豆芽、芝麻酱/味噌汤）* + +--- + +### **🍢 小吃 | SNACKS & APPETIZERS** +*适合分享或搭配的小份菜品* +1. **酥炸黄金鸡翅（6块）** + 热量：约 320 kcal + *（配蜂蜜芥末酱）* + +2. **凯撒沙拉（小份）** + 热量：约 280 kcal + *（罗马生菜、面包丁、帕玛森奶酪、凯撒酱）* + +3. **蒜香橄榄油烤蔬菜串** + 热量：约 180 kcal + *（彩椒、蘑菇、小番茄）* + +4. **手工芝士春卷（3个）** + 热量：约 210 kcal + *（马苏里拉芝士、韭菜）* + +--- + +### **🥤 饮品 | BEVERAGES** +*解渴、佐餐或提神之选* +1. **鲜榨西瓜汁（500ml）** + 热量：约 160 kcal + *（无添加糖）* + +2. **冰摇茉莉蜜茶（700ml）** + 热量：约 210 kcal + *（含糖，可调整甜度）* + +3. **美式咖啡（热/冰）** + 热量：约 5 kcal + *（黑咖啡，可选脱脂奶/燕麦奶）* + +4. **经典珍珠奶茶（中杯）** + 热量：约 380 kcal + *（含糖，可选无糖、少糖）* + +--- + +### ✨ **菜单设计说明** +1. **分类逻辑** + - **主食**：提供饱腹感的主菜组合，适合作为一餐核心。 + - **小吃**：分量较小，可单点或搭配主食，满足多样化需求。 + - **饮品**：独立成类，方便顾客快速浏览。 + +2. **热量标注建议** + - 若菜品有不同规格（如大/小份），需分别标注。 + - 酱料、可选配料的热量建议单独备注（如“沙拉酱另计约100kcal”）。 + +3. **延伸优化方向** + - 增加 **“低卡推荐”** 图标（如热量＜300 kcal的菜品）。 + - 可增设 **“套餐组合”** 栏，如“主食+饮品+小吃套餐立减X元”。 + - 提供 **过敏原/素食标识**（如含麸质、坚果、纯素等）。 + +--- + +### 📌 **给餐厅的行动建议** +1. 核对菜品实际热量（建议使用营养计算软件或咨询专业营养师）。 +2. 结合菜品毛利率，在排版上可微调位置（如高利润菜品置顶）。 +3. 菜单材质建议选用易擦写材质，方便后续季节性更新。 + +如果需要，我可进一步为您设计视觉排版（如分栏布局、图标风格），或针对特定菜系（如中餐、西餐）定制模板。<|im_end|> + +[INFO|configuration_utils.py:769] 2026-07-15 03:02:29,654 >> 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 03:02:29,655 >> 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 03:02:29] llamafactory.model.model_utils.kv_cache:144 >> KV cache is disabled during training. +[INFO|2026-07-15 03:02:29] llamafactory.model.model_utils.liger_kernel:144 >> Liger kernel has been applied to the model. +[INFO|modeling_utils.py:748] 2026-07-15 03:02:29,975 >> 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 03:02:29,975 >> Will use dtype=torch.bfloat16 as defined in model's config object +[INFO|configuration_utils.py:1027] 2026-07-15 03:02:30,117 >> 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 03:02:30,410 >> 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 03:02:30,410 >> 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 03:02:30] llamafactory.model.model_utils.checkpointing:144 >> Gradient checkpointing enabled. +[INFO|2026-07-15 03:02:30] llamafactory.model.model_utils.attention:144 >> Using FlashAttention-2 for faster training and inference. +[INFO|2026-07-15 03:02:30] llamafactory.model.adapter:144 >> Pure bf16 / BAdam detected, remaining trainable params in half precision. +[INFO|2026-07-15 03:02:30] llamafactory.model.adapter:144 >> Fine-tuning method: Full +[INFO|2026-07-15 03:02:30] llamafactory.model.loader:144 >> trainable params: 801,433,600 || all params: 801,433,600 || trainable%: 100.0000 +[INFO|trainer.py:1469] 2026-07-15 03:02:30,536 >> ***** Running training ***** +[INFO|trainer.py:1470] 2026-07-15 03:02:30,536 >> Num examples = 1,842 +[INFO|trainer.py:1471] 2026-07-15 03:02:30,536 >> Num Epochs = 1 +[INFO|trainer.py:1472] 2026-07-15 03:02:30,536 >> Num update steps per epoch = 461 +[INFO|trainer.py:1473] 2026-07-15 03:02:30,536 >> Instantaneous batch size per device = 1 +[INFO|trainer.py:1476] 2026-07-15 03:02:30,536 >> Total train batch size (w. parallel, distributed & accumulation) = 4 +[INFO|trainer.py:1477] 2026-07-15 03:02:30,536 >> Gradient Accumulation steps = 4 +[INFO|trainer.py:1478] 2026-07-15 03:02:30,536 >> Total optimization steps = 461 +[INFO|trainer.py:1479] 2026-07-15 03:02:30,537 >> Number of trainable parameters = 801,433,600 + 0%| | 0/461 [00:00> `use_return_dict` is deprecated! Use `return_dict` instead! + 0%| | 1/461 [00:07<1:00:32, 7.90s/it] 0%| | 2/461 [00:15<57:49, 7.56s/it] 1%| | 3/461 [00:22<57:28, 7.53s/it] 1%| | 4/461 [00:30<56:56, 7.48s/it] 1%| | 5/461 [00:38<58:49, 7.74s/it] 1%|▏ | 6/461 [00:46<59:06, 7.80s/it] 2%|▏ | 7/461 [00:53<57:57, 7.66s/it] 2%|▏ | 8/461 [01:01<58:17, 7.72s/it] 2%|▏ | 9/461 [01:09<57:55, 7.69s/it] 2%|▏ | 10/461 [01:17<59:06, 7.86s/it] {'loss': '2.309', 'grad_norm': '5.062', 'learning_rate': '4.5e-07', 'epoch': '0.02172'} + 2%|▏ | 10/461 [01:17<59:06, 7.86s/it] 2%|▏ | 11/461 [01:24<58:19, 7.78s/it] 3%|▎ | 12/461 [01:33<59:26, 7.94s/it] 3%|▎ | 13/461 [01:41<59:28, 7.96s/it] 3%|▎ | 14/461 [01:49<59:13, 7.95s/it] 3%|▎ | 15/461 [01:56<57:28, 7.73s/it] 3%|▎ | 16/461 [02:04<57:07, 7.70s/it] 4%|▎ | 17/461 [02:11<57:15, 7.74s/it] 4%|▍ | 18/461 [02:19<56:48, 7.69s/it] 4%|▍ | 19/461 [02:28<59:05, 8.02s/it] 4%|▍ | 20/461 [02:36<58:29, 7.96s/it] {'loss': '2.25', 'grad_norm': '9.688', 'learning_rate': '6.998e-07', 'epoch': '0.04343'} + 4%|▍ 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Do not forget to share your model on huggingface.co/models =) + + + {'train_runtime': '3559', 'train_samples_per_second': '0.518', 'train_steps_per_second': '0.13', 'train_loss': '2.144', 'epoch': '1'} + 100%|██████████| 461/461 [59:18<00:00, 6.56s/it] 100%|██████████| 461/461 [59:18<00:00, 7.72s/it] +[INFO|trainer.py:3815] 2026-07-15 04:01:49,243 >> Saving model checkpoint to /home/ll/llm4rec/experiments/outputs/v38_v29_r3_aggressive_lr7e7_ep10 +[INFO|configuration_utils.py:533] 2026-07-15 04:01:49,244 >> Configuration saved in /home/ll/llm4rec/experiments/outputs/v38_v29_r3_aggressive_lr7e7_ep10/config.json +[INFO|configuration_utils.py:816] 2026-07-15 04:01:49,244 >> Configuration saved in /home/ll/llm4rec/experiments/outputs/v38_v29_r3_aggressive_lr7e7_ep10/generation_config.json + Writing model shards: 0%| | 0/1 [00:00> Model weights saved in /home/ll/llm4rec/experiments/outputs/v38_v29_r3_aggressive_lr7e7_ep10/model.safetensors +[INFO|tokenization_utils_base.py:3278] 2026-07-15 04:01:50,223 >> chat template saved in /home/ll/llm4rec/experiments/outputs/v38_v29_r3_aggressive_lr7e7_ep10/chat_template.jinja +[INFO|tokenization_utils_base.py:2111] 2026-07-15 04:01:50,245 >> tokenizer config file saved in /home/ll/llm4rec/experiments/outputs/v38_v29_r3_aggressive_lr7e7_ep10/tokenizer_config.json +***** train metrics ***** + epoch = 1.0 + total_flos = 204674959GF + train_loss = 2.1436 + train_runtime = 0:59:18.70 + train_samples_per_second = 0.518 + train_steps_per_second = 0.13 +Figure saved at: /home/ll/llm4rec/experiments/outputs/v38_v29_r3_aggressive_lr7e7_ep10/training_loss.png +[WARNING|2026-07-15 04:01:50] llamafactory.extras.ploting:149 >> No metric eval_loss to plot. +[WARNING|2026-07-15 04:01:50] llamafactory.extras.ploting:149 >> No metric eval_accuracy to plot. +[INFO|modelcard.py:263] 2026-07-15 04:01:50,343 >> Dropping the following result as it does not have all the necessary fields: +{'task': {'name': 'Causal Language Modeling', 'type': 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