From c0684603037ee48b0755d0efd6da868b8dfca6c7 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sat, 22 Aug 2026 21:49:20 +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/v27_v12_product_ad_rec_lite_lr16e6_ep03 Source: Original Platform --- .gitattributes | 36 + README.md | 58 + all_results.json | 8 + chat_template.jinja | 89 + config.json | 63 + experiment_recipe.json | 63 + generation_config.json | 12 + model.safetensors | 3 + ...99015.ubuntu-System-Product-Name.3136330.0 | 3 + tokenizer.json | 3 + tokenizer_config.json | 16 + train.log | 2229 +++++++++++++++++ train_results.json | 8 + trainer_log.jsonl | 15 + trainer_state.json | 141 ++ training_args.bin | 3 + training_loss.png | Bin 0 -> 41264 bytes 17 files changed, 2750 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/Jul10_23-56-55_ubuntu-System-Product-Name/events.out.tfevents.1783699015.ubuntu-System-Product-Name.3136330.0 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 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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..430471a --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +library_name: transformers +license: other +base_model: lldois/v12_user_cot_focus_lr15e6 +tags: +- llama-factory +- full +- generated_from_trainer +model-index: +- name: v27_v12_product_ad_rec_lite_lr16e6_ep03 + results: [] +--- + + + +# v27_v12_product_ad_rec_lite_lr16e6_ep03 + +This model is a fine-tuned version of [lldois/v12_user_cot_focus_lr15e6](https://huggingface.co/lldois/v12_user_cot_focus_lr15e6) on the exp_v12_product_ad_rec_lite 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: 1.6e-06 +- train_batch_size: 1 +- eval_batch_size: 8 +- seed: 202607271 +- 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: 0.02 +- num_epochs: 0.3 + +### 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..4fac32d --- /dev/null +++ b/all_results.json @@ -0,0 +1,8 @@ +{ + "epoch": 0.30204962243797195, + "total_flos": 3.379630424701133e+16, + "train_loss": 2.1623025621686662, + "train_runtime": 563.9869, + "train_samples_per_second": 0.493, + "train_steps_per_second": 0.124 +} \ 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..93237e1 --- /dev/null +++ b/experiment_recipe.json @@ -0,0 +1,63 @@ +{ + "created_at": "2026-07-10 23:45:28", + "run": { + "name": "v27_v12_product_ad_rec_lite_lr16e6_ep03", + "dataset": "v12_product_ad_rec_lite", + "model_path": "/home/ll/llm4rec/experiments/outputs/v12_user_cot_focus_lr15e6", + "lr": "1.6e-6", + "epochs": 0.3, + "warmup": 0.02, + "scheduler": "cosine", + "seed": 202607271, + "note": "v12 continuation. Tiny product/ad recommendation repair from the strongest user2/world CoT checkpoint. Goal: test whether v12 can gain rec2/rec3 without losing its user2 and world advantages.", + "config": "/home/ll/llm4rec/experiments/configs/v27_v12_product_ad_rec_lite_lr16e6_ep03.yaml" + }, + "dataset_manifest": { + "name": "v12_product_ad_rec_lite", + "path": "/home/ll/llm4rec/experiments/data/v12_product_ad_rec_lite.jsonl", + "records": 26924, + "groups": { + "rec": 13330, + "item": 11194, + "user": 2400 + }, + "variants": { + "rec_short_think_final": 5465, + "rec_no_think_direct_final": 6265, + "item_no_think_direct_final": 2805, + "user_extra_no_think_logic": 410, + "item_compact_cot": 5597, + "user_strict_array": 1096, + "rec_cot_pattern_clean": 1600, + "user_strict_logic": 894, + "item_short_think": 2792 + }, + "sha256": "8d8285f5ea337154d720a4f1cae44ae9e00228264effaa9ebc527248cb291eff", + "seed": 202607113 + }, + "dataset_recipe": "v12 continuation: very small product/ad rec repair from the best user2/world checkpoint, plus item replay and small user guard.", + "cot_policy": "Preserve /think reasoning supervision and do not use v7_final_only as a CoT training base. For /no_think prompts, train pure final answers without generated tags. This is route-specific behavior, not global CoT removal.", + "raw_counts": { + "rec": 19204, + "item": 10384, + "user": 2892 + }, + "eval_observations": { + "v07": "best local score so far: total=0.8978, eval_time≈47.3min; fast final outputs likely help.", + "v15": "best CoT-preserving score so far: total=0.8778, eval_time≈70.1min; logs show repeated tokens, JSON shell errors, prompt leakage, and verbose /no_think outputs.", + "v19": "best CoT-native continuation so far: total=0.8855, eval_time≈48.1min; user1 and rec4 improved but world dropped.", + "v20": "v7 final-only continuation with CoT restore failed as a CoT route: total=0.8527, item fell to 0.1840; do not use v7 as future CoT base.", + "v22": "scratch official-base 3 epoch clean CoT underperformed: total=0.8217; item/world preserved but user and rec2 are weak.", + "v23": "scratch official-base 5 epoch low-LR guard failed badly: total=0.6990; item/user collapse suggests long scratch SFT is not viable with current data mix.", + "v24": "v15 light repair is best among v22-v24 but still only total=0.8364; user2 improves but rec/world do not recover.", + "v16": "CoT pattern rewrite failed: total=0.7912; logs show malformed user JSON and fragmented recommendation reasoning.", + "v18": "low-LR mixed replay from v12 failed: total=0.8340; item/world dropped and rec outputs mixed text/itemic/think tags." + }, + "script": "/home/ll/llm4rec/experiments/run_experiments.py", + "script_sha256": "f752ec011aae9158402c880ebe487650272242b5b35d45bd4a6d9ec1c7dc33d5", + "deadline": "2026-07-11 09:00:00 +0800", + "reproduce": { + "prepare_command": "EXPERIMENT_PREPARE_ONLY=1 python3 experiments/run_experiments.py", + "train_command": "CUDA_VISIBLE_DEVICES= bash -lc 'source /home/ll/llm4rec/demo/LLaMA-Factory/.venv/bin/activate && llamafactory-cli train /home/ll/llm4rec/experiments/configs/v27_v12_product_ad_rec_lite_lr16e6_ep03.yaml'" + } +} \ 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..5b59e9c --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:21d50f30186bf1f0476d5be5c659eb06445626c948f61def6aaebb94ae7f318c +size 1602902832 diff --git a/runs/Jul10_23-56-55_ubuntu-System-Product-Name/events.out.tfevents.1783699015.ubuntu-System-Product-Name.3136330.0 b/runs/Jul10_23-56-55_ubuntu-System-Product-Name/events.out.tfevents.1783699015.ubuntu-System-Product-Name.3136330.0 new file mode 100644 index 0000000..790c0bf --- /dev/null +++ b/runs/Jul10_23-56-55_ubuntu-System-Product-Name/events.out.tfevents.1783699015.ubuntu-System-Product-Name.3136330.0 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4595cbd1bd7cf580ac3547cdeb7c3af3e48a161af67ae26c812cd9e025ce5735 +size 9209 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..e0fd8d0 --- /dev/null +++ b/train.log @@ -0,0 +1,2229 @@ +/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|2026-07-10 23:56:31] 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] 2026-07-10 23:56:31,954 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v12_user_cot_focus_lr15e6/config.json +[INFO|configuration_utils.py:847] 2026-07-10 23:56:31,956 >> 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] 2026-07-10 23:56:32,623 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v12_user_cot_focus_lr15e6/config.json +[INFO|configuration_utils.py:847] 2026-07-10 23:56:32,624 >> 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] 2026-07-10 23:56:32,624 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v12_user_cot_focus_lr15e6/config.json +[INFO|configuration_utils.py:847] 2026-07-10 23:56:32,624 >> 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|2026-07-10 23:56:33] llamafactory.data.loader:144 >> Loading dataset /home/ll/llm4rec/experiments/data/v12_product_ad_rec_lite.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: 18275 examples [00:00, 171722.87 examples/s] Generating train split: 26924 examples [00:00, 179015.48 examples/s] + Converting format of dataset (num_proc=16): 0%| | 0/26924 [00:00user +【用户交互历史】： +【2025-02-02】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-02-03】 + --:-- [直播-关注] <|living_begin|> +【2025-02-04】 + --:-- [直播-关注] <|living_begin|> +【2025-03-04】 + --:-- [直播-关注] <|living_begin|> +【2025-03-08】 + --:-- [直播-关注] <|living_begin|> +【2025-03-09】 + --:-- [直播-关注] <|living_begin|> +【2025-03-19】 + --:-- [直播-关注] <|living_begin|> +【2025-03-26】 + --:-- [直播-关注] <|living_begin|> +【2025-04-24】 + --:-- [直播-关注] <|living_begin|> +【2025-04-25】 + --:-- [直播-打赏] <|living_begin|> +【2025-05-09】 + --:-- [直播-关注] <|living_begin|> +【2025-05-13】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-05-16】 + --:-- [直播-打赏] <|living_begin|> +【2025-05-17】 + --:-- [直播-关注] <|living_begin|> +【2025-05-22】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-23】 + --:-- [直播-关注] <|living_begin|> +【2025-05-28】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-30】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-10】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-11】 + --:-- [直播-打赏] <|living_begin|> +【2025-06-13】 + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-06-19】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-22】 + --:-- [直播-关注] <|living_begin|> +【2025-06-23】 + --:-- [直播-关注] <|living_begin|> +【2025-06-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-07】 + --:-- [直播-关注] <|living_begin|> +【2025-07-10】 + --:-- [直播-关注] <|living_begin|> +【2025-07-12】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-19】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-23】 + --:-- [直播-关注] <|living_begin|> +【2025-07-26】 + --:-- [直播-关注] <|living_begin|> +【2025-07-31】 + --:-- [直播-关注] <|living_begin|> +【2025-08-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-17】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-08-18】 + --:-- [直播-关注] <|living_begin|> +【2025-08-22】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-08-24】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-27】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-09-03】 + --:-- [直播-关注] <|living_begin|> +【2025-09-05】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-07】 + --:-- [直播-关注] <|living_begin|> +【2025-09-18】 + --:-- [直播-关注] <|living_begin|> +【2025-09-19】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-21】 + --:-- [直播-关注] <|living_begin|> +【2025-09-24】 + --:-- [直播-关注] <|living_begin|> +【2025-09-26】 + --:-- [直播-关注] <|living_begin|> +【2025-10-02】 + --:-- [直播-关注] <|living_begin|> +【2025-10-03】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-05】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-07】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-09】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-11】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-12】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-14】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-10-15】 + --:-- [直播-关注] <|living_begin|> +【2025-10-20】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-25】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-28】 + --:-- [直播-关注] <|living_begin|> +【2025-11-16】 + --:-- [直播-关注] <|living_begin|> +【2025-11-20】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-27】 + --:-- [直播-关注] <|living_begin|> +【2025-12-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-13】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-15】 + --:-- [直播-关注] <|living_begin|> +【2025-12-27】 + --:-- [直播-关注] <|living_begin|> +【2025-12-31】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-02】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-03】 + 14:58 [广告-深度转化] <|ad_begin|> + 16:17 [广告-深度转化] <|ad_begin|> +【2026-01-04】 + 11:49 [广告-深度转化] <|ad_begin|> + 14:53 [广告-深度转化] <|ad_begin|> +【2026-01-05】 + 03:51 [广告-深度转化] <|ad_begin|> + 05:37 [广告-深度转化] <|ad_begin|> + 12:35 [广告-深度转化] <|ad_begin|> +【2026-01-06】 + 05:22 [广告-深度转化] <|ad_begin|> + 06:29 [广告-深度转化] <|ad_begin|> +【2026-01-07】 + 14:56 [广告-深度转化] <|ad_begin|> + 15:41 [广告-深度转化] <|ad_begin|> +【2026-01-08】 + 10:31 [广告-深度转化] <|ad_begin|> + 14:13 [广告-深度转化] <|ad_begin|> +【2026-01-09】 + --:-- [商品-购买] <|prod_begin|> + 14:55 [广告-深度转化] <|ad_begin|> +【2026-01-10】 + 02:56 [广告-深度转化] <|ad_begin|> + 13:44 [广告-深度转化] <|ad_begin|> +【2026-01-11】 + --:-- [直播-关注] <|living_begin|> + 06:53 [广告-深度转化] <|ad_begin|> +【2026-01-12】 + 15:20 [广告-深度转化] <|ad_begin|> +【2026-01-14】 + 13:29 [广告-深度转化] <|ad_begin|> + 13:46 [广告-深度转化] <|ad_begin|> + 15:48 [广告-深度转化] <|ad_begin|> +【2026-01-15】 + --:-- [商品-购买] <|prod_begin|> + 05:55 [广告-深度转化] <|ad_begin|> + 11:48 [广告-深度转化] <|ad_begin|> + 12:57 [广告-深度转化] <|ad_begin|> + 13:52 [广告-深度转化] <|ad_begin|> +【2026-01-16】 + 06:22 [广告-深度转化] <|ad_begin|> + 10:25 [广告-深度转化] <|ad_begin|> + 14:57 [广告-深度转化] <|ad_begin|> + 23:02 [广告-深度转化] <|ad_begin|> +【2026-01-17】 + 10:42 [广告-深度转化] <|ad_begin|> + 13:29 [广告-深度转化] <|ad_begin|> +【2026-01-18】 + --:-- [商品-购买] <|prod_begin|> + 03:43 [广告-深度转化] <|ad_begin|> + 03:43 [广告-点击] <|ad_begin|> + 12:51 [广告-点击] <|ad_begin|> +【2026-01-20】 + 12:14 [广告-点击] <|ad_begin|> + 12:29 [广告-点击] <|ad_begin|> + 12:40 [广告-深度转化] <|ad_begin|> + 12:40 [广告-点击] <|ad_begin|> + 13:09 [广告-深度转化] <|ad_begin|> + 13:09 [广告-点击] <|ad_begin|> + 15:12 [广告-深度转化] <|ad_begin|> + 15:12 [广告-点击] <|ad_begin|> +【2026-01-21】 + 01:37 [广告-点击] <|ad_begin|> + 01:37 [广告-点击] <|ad_begin|> + --:-- [商品-购买] <|prod_begin|> + 06:27 [广告-点击] <|ad_begin|> + 10:56 [广告-点击] <|ad_begin|> + 13:11 [广告-点击] <|ad_begin|> + 13:16 [广告-深度转化] <|ad_begin|> + 13:16 [广告-点击] <|ad_begin|> + 14:25 [广告-深度转化] <|ad_begin|> + 14:25 [广告-点击] <|ad_begin|> +【2026-01-22】 + --:-- [商品-购买] <|prod_begin|> + 05:14 [视频-点赞/长播] <|video_begin|> + 05:25 [广告-深度转化] <|ad_begin|> + 05:25 [广告-点击] <|ad_begin|> + 05:42 [广告-深度转化] <|ad_begin|> + 05:42 [广告-点击] <|ad_begin|> + 06:31 [广告-深度转化] <|ad_begin|> + 06:31 [广告-点击] <|ad_begin|> +【2026-01-23】 + --:-- [商品-购买] <|prod_begin|> + 06:23 [视频-关注/点赞/长播] <|video_begin|> + 06:37 [广告-深度转化] <|ad_begin|> + 06:37 [广告-点击] <|ad_begin|> + 09:20 [广告-点击] <|ad_begin|> + 12:27 [广告-深度转化] <|ad_begin|> + 12:27 [广告-点击] <|ad_begin|> + 14:18 [广告-深度转化] <|ad_begin|> + 14:18 [广告-点击] <|ad_begin|> +【2026-01-24】 + 01:39 [广告-深度转化] <|ad_begin|> + 01:39 [广告-点击] <|ad_begin|> + 11:03 [视频-点赞/长播] <|video_begin|> + 14:28 [广告-深度转化] <|ad_begin|> + 14:28 [广告-点击] <|ad_begin|> + 14:36 [广告-深度转化] <|ad_begin|> + 14:36 [广告-点击] <|ad_begin|> +【2026-01-25】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-26】 + 06:53 [视频-点赞/长播] <|video_begin|> + 13:15 [视频-评论/点赞/长播] <|video_begin|> + 14:48 [广告-深度转化] <|ad_begin|> + 14:48 [广告-点击] <|ad_begin|> +【2026-01-27】 + --:-- [直播-关注] <|living_begin|> + 05:18 [广告-点击] <|ad_begin|> + 06:28 [广告-点击] <|ad_begin|> + 12:31 [视频-长播] <|video_begin|> + 12:31 [视频-长播] <|video_begin|> + 12:31 [视频-长播] <|video_begin|> + 12:36 [视频-长播] <|video_begin|> + 14:13 [广告-深度转化] <|ad_begin|> + 14:13 [广告-点击] <|ad_begin|> +【2026-01-28】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 03:08 [广告-深度转化] <|ad_begin|> + 03:08 [广告-点击] <|ad_begin|> + 08:07 [广告-点击] <|ad_begin|> + 10:31 [广告-深度转化] <|ad_begin|> + 10:31 [广告-点击] <|ad_begin|> + 11:14 [视频-长播] <|video_begin|> + 11:14 [视频-长播] <|video_begin|> + 11:14 [视频-长播] <|video_begin|> + 11:34 [广告-深度转化] <|ad_begin|> + 11:34 [广告-点击] <|ad_begin|> + 11:35 [广告-点击] <|ad_begin|> + 13:09 [广告-点击] <|ad_begin|> + 13:15 [广告-点击] <|ad_begin|> + 13:17 [广告-点击] <|ad_begin|> + 13:18 [广告-深度转化] <|ad_begin|> + 13:18 [广告-点击] <|ad_begin|> + 13:19 [视频-长播] <|video_begin|> + 13:56 [广告-点击] <|ad_begin|> +【2026-01-29】 + --:-- [商品-购买] <|prod_begin|> + 05:19 [广告-深度转化] <|ad_begin|> + 05:19 [广告-点击] <|ad_begin|> + 07:10 [广告-深度转化] <|ad_begin|> + 07:10 [广告-点击] <|ad_begin|> + 10:21 [广告-深度转化] <|ad_begin|> + 10:21 [广告-点击] <|ad_begin|> + 11:20 [视频-点赞/长播] <|video_begin|> + 11:27 [视频-长播] <|video_begin|> + 11:27 [视频-长播] <|video_begin|> + 11:38 [视频-长播] <|video_begin|> + 11:56 [广告-深度转化] <|ad_begin|> + 11:56 [广告-点击] <|ad_begin|> + 14:50 [广告-深度转化] <|ad_begin|> + 14:50 [广告-点击] <|ad_begin|> + 15:09 [视频-点赞/长播] <|video_begin|> + 15:09 [视频-长播] <|video_begin|> + 15:16 [视频-长播] <|video_begin|> + 15:21 [广告-点击] <|ad_begin|> + 15:22 [视频-长播] <|video_begin|> + 15:22 [视频-长播] <|video_begin|> + 15:25 [视频-点赞/长播] <|video_begin|> + 15:25 [视频-点赞/长播] <|video_begin|> + 15:25 [视频-长播] <|video_begin|> + 15:52 [视频-长播] <|video_begin|> +【2026-01-30】 + 01:01 [视频-长播] <|video_begin|> + 01:11 [广告-点击] <|ad_begin|> + 03:54 [广告-深度转化] <|ad_begin|> + 03:54 [广告-点击] <|ad_begin|> + 06:07 [视频-长播] <|video_begin|> + 06:07 [视频-长播] <|video_begin|> + 13:59 [广告-深度转化] <|ad_begin|> + 13:59 [广告-点击] <|ad_begin|> + 14:47 [广告-深度转化] <|ad_begin|> + 14:47 [广告-点击] <|ad_begin|> + 15:26 [视频-长播] <|video_begin|> +【2026-01-31】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 05:00 [视频-点赞/长播] <|video_begin|> + 05:02 [视频-长播] <|video_begin|> + 12:01 [广告-深度转化] <|ad_begin|> + 12:01 [广告-点击] <|ad_begin|> + 12:22 [广告-点击] <|ad_begin|> + 12:25 [广告-深度转化] <|ad_begin|> + 12:25 [广告-点击] <|ad_begin|> + 12:38 [广告-点击] <|ad_begin|> + 12:56 [视频-点赞/长播] <|video_begin|> + 12:56 [视频-关注/点赞/长播] <|video_begin|> + 13:42 [广告-深度转化] <|ad_begin|> + 13:42 [广告-点击] <|ad_begin|> +【2026-02-01】 + 01:30 [广告-点击] <|ad_begin|> + 01:34 [广告-点击] <|ad_begin|> + 01:35 [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-购买] <|prod_begin|> + 03:51 [广告-深度转化] <|ad_begin|> + 03:51 [广告-点击] <|ad_begin|> + 05:19 [广告-点击] <|ad_begin|> + 11:13 [视频-长播] <|video_begin|> + 11:30 [广告-点击] <|ad_begin|> + 11:53 [广告-深度转化] <|ad_begin|> + 11:53 [广告-点击] <|ad_begin|> + 13:00 [广告-深度转化] <|ad_begin|> + 13:00 [广告-点击] <|ad_begin|> + 15:02 [广告-点击] <|ad_begin|> + 15:03 [视频-长播] <|video_begin|> + 15:03 [视频-长播] <|video_begin|> + 15:15 [视频-长播] <|video_begin|> + 15:19 [广告-点击] <|ad_begin|> +【2026-02-02】 + 00:48 [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-购买] <|prod_begin|> + 04:22 [视频-点赞/长播] <|video_begin|> + 04:22 [视频-长播] <|video_begin|> + 04:56 [广告-深度转化] <|ad_begin|> + 04:56 [广告-点击] <|ad_begin|> + 11:15 [广告-深度转化] <|ad_begin|> + 11:15 [广告-点击] <|ad_begin|> +【2026-02-03】 + 00:38 [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-购买] <|prod_begin|> + 05:54 [广告-点击] <|ad_begin|> + 07:40 [视频-长播] <|video_begin|> + 12:09 [视频-长播] <|video_begin|> + 12:15 [视频-点赞/长播] <|video_begin|> + 15:04 [视频-长播] <|video_begin|> + 15:59 [视频-长播] <|video_begin|> + 16:01 [广告-点击] <|ad_begin|> + 23:22 [视频-长播] <|video_begin|> + 23:22 [视频-长播] <|video_begin|> + 23:32 [视频-点赞/长播] <|video_begin|> + 23:34 [视频-长播] <|video_begin|> + 23:34 [视频-长播] <|video_begin|> +【2026-02-04】 + 01:01 [视频-长播] <|video_begin|> + 01:10 [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|> + --:-- [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|> + 06:44 [视频-长播] <|video_begin|> + 06:47 [视频-长播] <|video_begin|> + 08:51 [视频-长播] <|video_begin|> + 08:56 [视频-评论/点赞/长播] <|video_begin|> + 11:42 [视频-长播] <|video_begin|> + 13:25 [视频-长播] <|video_begin|> + 14:20 [广告-深度转化] <|ad_begin|> + 14:20 [广告-点击] <|ad_begin|> + 23:34 [视频-长播] <|video_begin|> + 23:34 [视频-长播] <|video_begin|> +【2026-02-05】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 07:21 [视频-长播] <|video_begin|> + 07:24 [视频-长播] <|video_begin|> + 11:27 [视频-长播] <|video_begin|> + 12:11 [广告-深度转化] <|ad_begin|> + 12:11 [广告-点击] <|ad_begin|> + 13:52 [广告-点击] <|ad_begin|> + 15:05 [视频-长播] <|video_begin|> + 15:07 [广告-点击] <|ad_begin|> +角色任务：你作为极端严苛的用户行为数据挖掘专家和数据格式化专家，需要根据以上用户交互历史，围绕给定主题抽取存在行为递进逻辑与内在关联的交互行为逻辑链。 +交互行为类型（固定格式严禁更改）： 广告-点击、广告-深度转化、视频-浏览、视频-长播、搜索-搜索、商品-点击、商品-购买、直播-关注、直播-首次打赏 +核心判定逻辑（递进性准则）： +请按时间顺序提取 5 步以内的行为链，且后项交互B必须构成前项交互A在场景需求上的协同补充、副作用诱因或兴趣细化升级——即 B 必须源于 A 所延伸出的需求，严禁提取任何品类平级、内容重复或仅由天气/促销触发的并列凑单行为。 +1.场景驱动协同：交互 B 与交互 A 必须处于同一生活场景和主题类目下，并具备极强的需求补完关系。 +2.兴趣因果递进：交互 B 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 需要比交互 A 表达得更具体详细，但不纳入重复性的购买、点击、搜索等行为，避免形成重复节点。 +请针对以下主题提取行为逻辑链： +主题：从被动观赏到主动实践的节日装饰决策链 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "从被动观赏到主动实践的节日装饰决策链", + "events": [ + { + "date": "YYYY-MM-DD", + "action": "[交互行为类型] 交互内容"（严格对应Timeline中交互条目，不允许省略）, + "logic": "逻辑说明" + } + ] + } +} + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +{"logic_chain":{"name":"从被动观赏到主动实践的节日装饰决策链","events":[{"date":"2026-02-04","action":"[视频-关注/长播] <|video_begin|>","logic":"兴趣触发：被动接收到关于“灯笼制作”的视频内容，对节日装饰产生初步兴趣，但认知停留在成品外观层面。"},{"date":"2026-01-29","action":"[商品-购买] <|prod_begin|>","logic":"认知收敛与行动转化：从对灯笼成品的笼统兴趣，聚焦到实现其发光效果的核心组件“无线遥控LED灯芯”上，并完成购买。这表明用户已从欣赏转向实践，并对装饰方案的技术细节（无线、遥控）产生了明确的功能性需求，是典型的认知增量和行为深化。"}]}}<|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。 + +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|>","<|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】： +【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 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<|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，严格提取出所有相关的历史交互条目。 + +主题：从被动娱乐到主动探索的游戏深度演化 + +输出格式要求：请仅输出包含 SID 的 JSON 数组，严禁输出任何额外的解释、说明或 Markdown 标记。 + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +["<|ad_begin|>","<|ad_begin|>","<|living_begin|>","<|living_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>"]<|im_end|> +<|im_start|>user +【用户交互历史】： +【2023-09-24】 + --:-- [商品-购买] <|prod_begin|> +【2023-09-25】 + --:-- [商品-购买] <|prod_begin|> +【2023-10-06】 + --:-- [商品-购买] <|prod_begin|> +【2023-10-10】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2023-11-19】 + --:-- [商品-购买] <|prod_begin|> +【2023-12-09】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2023-12-13】 + --:-- [商品-购买] <|prod_begin|> +【2024-02-21】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-07-10】 + --:-- [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|> +【2024-07-11】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-09-18】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-10-24】 + --:-- [商品-购买] <|prod_begin|> +【2024-10-25】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2024-10-27】 + --:-- [商品-购买] <|prod_begin|> +【2024-12-01】 + --:-- [商品-购买] <|prod_begin|> +【2024-12-02】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-01-01】 + --:-- [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|> +【2025-01-11】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-01-13】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-01-15】 + --:-- [直播-关注] <|living_begin|> +【2025-01-16】 + --:-- [直播-关注/打赏] <|living_begin|> +【2025-01-29】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/打赏] <|living_begin|> +【2025-01-31】 + --:-- [直播-关注] <|living_begin|> +【2025-02-03】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-02-11】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-02-14】 + --:-- [直播-关注] <|living_begin|> +【2025-02-15】 + --:-- [直播-关注] <|living_begin|> +【2025-02-16】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-02-20】 + --:-- [直播-关注] <|living_begin|> +【2025-03-05】 + --:-- [直播-关注] <|living_begin|> +【2025-03-26】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-04-07】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-04-12】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-04-18】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-04-20】 + --:-- [直播-关注/打赏] <|living_begin|> +【2025-04-26】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-05-09】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-05-12】 + --:-- [直播-打赏] <|living_begin|> +【2025-05-14】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-05-16】 + --:-- [直播-关注] <|living_begin|> +【2025-05-20】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-05-23】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-06-19】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-07-02】 + --:-- [直播-打赏] <|living_begin|> +【2025-07-03】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-07-04】 + --:-- [直播-打赏] <|living_begin|> +【2025-09-17】 + --:-- [直播-关注] <|living_begin|> +【2025-09-23】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-09-24】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-10-06】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-10-24】 + --:-- [商品-点击] <|prod_begin|> +【2025-10-25】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-10-29】 + --:-- [直播-关注] <|living_begin|> +【2025-10-30】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-01】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-04】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-05】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-07】 + --:-- [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|> +【2025-11-09】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-11】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-27】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-28】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-29】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-30】 + --:-- [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|> +【2025-12-01】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-03】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-10】 + --:-- [商品-点击] <|prod_begin|> + 17:27 [广告-深度转化] <|ad_begin|> +【2025-12-15】 + --:-- [直播-首次打赏] <|living_begin|> + 15:32 [广告-深度转化] <|ad_begin|> + 19:41 [广告-深度转化] <|ad_begin|> + 23:00 [广告-深度转化] <|ad_begin|> +【2025-12-16】 + --:-- [直播-关注] <|living_begin|> + 21:45 [广告-深度转化] <|ad_begin|> +【2025-12-17】 + --:-- [直播-关注/首次打赏] <|living_begin|> + 10:29 [广告-深度转化] <|ad_begin|> + 21:56 [广告-深度转化] <|ad_begin|> +【2025-12-18】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-19】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-12-22】 + 18:08 [广告-深度转化] <|ad_begin|> +【2025-12-23】 + --:-- [直播-关注] <|living_begin|> + 20:28 [广告-深度转化] <|ad_begin|> + 20:40 [广告-深度转化] <|ad_begin|> +【2025-12-24】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-12-26】 + 22:10 [广告-深度转化] <|ad_begin|> +【2025-12-27】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-12-28】 + 21:05 [广告-深度转化] <|ad_begin|> +【2025-12-29】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-12-30】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-31】 + --:-- [直播-关注/首次打赏] <|living_begin|> + 06:10 [广告-点击] <|ad_begin|> + 06:38 [广告-深度转化] <|ad_begin|> + 06:38 [广告-点击] <|ad_begin|> + 06:58 [广告-点击] <|ad_begin|> + 07:01 [广告-点击] <|ad_begin|> + 08:07 [广告-点击] <|ad_begin|> + 08:41 [广告-点击] <|ad_begin|> +【2026-01-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注/打赏] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> +【2026-01-02】 + --:-- [直播-首次打赏] <|living_begin|> +【2026-01-03】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + 06:56 [广告-点击] <|ad_begin|> + 06:57 [广告-深度转化] <|ad_begin|> + 06:57 [广告-点击] <|ad_begin|> +【2026-01-04】 + 01:16 [广告-深度转化] <|ad_begin|> + 01:16 [广告-点击] <|ad_begin|> + 01:45 [广告-点击] <|ad_begin|> + 19:07 [广告-深度转化] <|ad_begin|> + 19:07 [广告-点击] <|ad_begin|> + 19:51 [广告-深度转化] <|ad_begin|> + 19:51 [广告-点击] <|ad_begin|> + 20:13 [广告-深度转化] <|ad_begin|> + 20:13 [广告-点击] <|ad_begin|> +【2026-01-05】 + 01:05 [广告-深度转化] <|ad_begin|> + 01:05 [广告-点击] <|ad_begin|> + 03:54 [广告-点击] <|ad_begin|> + 03:56 [广告-深度转化] <|ad_begin|> + 03:56 [广告-点击] <|ad_begin|> +【2026-01-06】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-09】 + --:-- [直播-关注] <|living_begin|> + 18:10 [广告-深度转化] <|ad_begin|> + 18:10 [广告-点击] <|ad_begin|> +【2026-01-10】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-12】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-13】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 17:23 [广告-点击] <|ad_begin|> + 17:40 [广告-深度转化] <|ad_begin|> + 17:40 [广告-点击] <|ad_begin|> +【2026-01-14】 + 02:18 [广告-深度转化] <|ad_begin|> + 02:18 [广告-点击] <|ad_begin|> + 02:30 [广告-深度转化] <|ad_begin|> + 02:30 [广告-点击] <|ad_begin|> +【2026-01-15】 + 17:30 [广告-点击] <|ad_begin|> + 18:58 [广告-深度转化] <|ad_begin|> + 18:58 [广告-点击] <|ad_begin|> +【2026-01-17】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-18】 + 18:16 [广告-点击] <|ad_begin|> + 18:23 [广告-深度转化] <|ad_begin|> + 18:23 [广告-点击] <|ad_begin|> +【2026-01-19】 + --:-- [商品-点击] <|prod_begin|> +【2026-01-20】 + 20:05 [广告-深度转化] <|ad_begin|> + 20:05 [广告-点击] <|ad_begin|> + 20:12 [广告-点击] <|ad_begin|> + 20:13 [广告-点击] <|ad_begin|> + 21:50 [广告-点击] <|ad_begin|> +【2026-01-21】 + 17:02 [广告-深度转化] <|ad_begin|> + 17:02 [广告-点击] <|ad_begin|> + 17:39 [广告-点击] <|ad_begin|> + 17:40 [视频-点赞/长播] <|video_begin|> + 17:40 [视频-浏览] <|video_begin|> + 18:13 [广告-点击] <|ad_begin|> + 21:56 [广告-点击] <|ad_begin|> + 22:22 [视频-浏览] <|video_begin|> +【2026-01-22】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2026-01-23】 + 18:54 [视频-点赞/长播] <|video_begin|> + 19:25 [广告-点击] <|ad_begin|> + 19:31 [广告-深度转化] <|ad_begin|> + 19:31 [广告-点击] <|ad_begin|> +【2026-01-24】 + 13:07 [视频-点赞/长播] <|video_begin|> + 16:28 [视频-点赞/长播] <|video_begin|> + 16:28 [视频-评论/长播] <|video_begin|> + 17:11 [视频-点赞/长播] <|video_begin|> + 18:58 [视频-评论/长播] <|video_begin|> +【2026-01-25】 + --:-- [直播-关注] <|living_begin|> + 01:21 [视频-点赞/长播] <|video_begin|> + 09:17 [广告-深度转化] <|ad_begin|> + 09:17 [广告-点击] <|ad_begin|> + 14:38 [视频-点赞/长播] <|video_begin|> + 19:24 [广告-点击] <|ad_begin|> + 19:54 [广告-深度转化] <|ad_begin|> + 19:54 [广告-点击] <|ad_begin|> + 19:54 [广告-点击] <|ad_begin|> + 19:55 [广告-点击] <|ad_begin|> + 19:56 [广告-点击] <|ad_begin|> + 19:58 [广告-点击] <|ad_begin|> + 20:00 [广告-点击] <|ad_begin|> + 20:01 [广告-点击] <|ad_begin|> + 20:03 [广告-点击] <|ad_begin|> + 20:08 [广告-深度转化] <|ad_begin|> + 20:08 [广告-点击] <|ad_begin|> +【2026-01-26】 + 07:42 [视频-点赞/长播] <|video_begin|> + 22:05 [广告-点击] <|ad_begin|> + 22:10 [广告-深度转化] <|ad_begin|> + 22:10 [广告-点击] <|ad_begin|> + 23:18 [广告-点击] <|ad_begin|> + 23:58 [广告-点击] <|ad_begin|> +【2026-01-27】 + 00:03 [广告-点击] <|ad_begin|> + 19:44 [广告-点击] <|ad_begin|> + 20:39 [广告-深度转化] <|ad_begin|> + 20:39 [广告-点击] <|ad_begin|> + 21:17 [广告-点击] <|ad_begin|> + 22:36 [广告-深度转化] <|ad_begin|> + 22:36 [广告-点击] <|ad_begin|> + 23:10 [视频-评论/长播] <|video_begin|> + 23:34 [广告-深度转化] <|ad_begin|> + 23:34 [广告-点击] <|ad_begin|> +【2026-01-28】 + --:-- [直播-关注] <|living_begin|> + 00:10 [广告-点击] <|ad_begin|> + 19:37 [视频-评论/长播] <|video_begin|> +【2026-01-29】 + 08:53 [视频-点赞/长播] <|video_begin|> + 15:22 [视频-点赞/长播] <|video_begin|> + 16:15 [视频-评论/长播] <|video_begin|> +【2026-01-30】 + --:-- [直播-关注] <|living_begin|> + 07:05 [视频-点赞/长播] <|video_begin|> + 07:05 [视频-转发/长播] <|video_begin|> + 18:26 [广告-深度转化] <|ad_begin|> + 18:26 [广告-点击] <|ad_begin|> + 18:49 [广告-点击] <|ad_begin|> + 21:50 [广告-深度转化] <|ad_begin|> + 21:50 [广告-点击] <|ad_begin|> + 22:05 [广告-点击] <|ad_begin|> + 22:06 [视频-评论/长播] <|video_begin|> +【2026-01-31】 + 18:17 [广告-点击] <|ad_begin|> + 18:20 [广告-深度转化] <|ad_begin|> + 18:20 [广告-点击] <|ad_begin|> +【2026-02-01】 + 11:31 [视频-点赞/长播] <|video_begin|> + 12:16 [视频-点赞/长播] <|video_begin|> + 15:21 [视频-点赞/长播] <|video_begin|> + 15:31 [视频-点赞/长播] <|video_begin|> + 15:35 [视频-点赞/长播] <|video_begin|> +【2026-02-02】 + --:-- [直播-关注] <|living_begin|> + 04:17 [视频-点赞/长播] <|video_begin|> + 07:38 [视频-评论/点赞/长播] <|video_begin|> + 18:37 [广告-点击] <|ad_begin|> + 20:20 [广告-深度转化] <|ad_begin|> + 20:20 [广告-点击] <|ad_begin|> +【2026-02-03】 + 13:08 [视频-点赞/长播] <|video_begin|> + 14:23 [视频-长播] <|video_begin|> + 14:23 [视频-长播] <|video_begin|> + 15:17 [视频-长播] <|video_begin|> + 17:17 [视频-长播] <|video_begin|> + 17:17 [视频-长播] <|video_begin|> + 17:29 [视频-长播] <|video_begin|> + 19:15 [广告-深度转化] <|ad_begin|> + 19:15 [广告-点击] <|ad_begin|> + 19:28 [广告-点击] <|ad_begin|> + 20:11 [视频-长播] <|video_begin|> + 20:13 [视频-长播] <|video_begin|> + 20:26 [视频-长播] <|video_begin|> + 20:28 [视频-长播] <|video_begin|> + 20:28 [视频-长播] <|video_begin|> + 20:28 [视频-长播] <|video_begin|> + 20:50 [广告-深度转化] <|ad_begin|> + 20:50 [广告-点击] <|ad_begin|> + 20:53 [视频-长播] <|video_begin|> + 21:24 [视频-长播] <|video_begin|> + 21:35 [视频-长播] <|video_begin|> + 21:39 [视频-长播] <|video_begin|> + 21:39 [视频-长播] <|video_begin|> + 21:42 [视频-长播] <|video_begin|> + 21:42 [视频-长播] <|video_begin|> + 21:51 [视频-长播] <|video_begin|> + 21:51 [视频-长播] <|video_begin|> + 22:04 [视频-长播] <|video_begin|> + 22:04 [视频-长播] <|video_begin|> +【2026-02-04】 + 03:22 [视频-长播] <|video_begin|> + 03:46 [广告-点击] <|ad_begin|> + 03:46 [视频-长播] <|video_begin|> + 03:53 [广告-点击] <|ad_begin|> + 03:53 [视频-长播] <|video_begin|> + 03:53 [视频-长播] <|video_begin|> + 03:53 [视频-长播] <|video_begin|> + 18:23 [视频-长播] <|video_begin|> + 21:21 [视频-长播] <|video_begin|> + 21:21 [视频-长播] <|video_begin|> + 21:21 [视频-长播] <|video_begin|> + 21:21 [视频-评论/长播] <|video_begin|> + 21:31 [视频-长播] <|video_begin|> + 21:31 [视频-长播] <|video_begin|> + 21:31 [视频-长播] <|video_begin|> + 21:37 [视频-长播] <|video_begin|> + 22:41 [视频-长播] <|video_begin|> + 23:04 [视频-长播] <|video_begin|> + 23:04 [视频-长播] <|video_begin|> + 23:04 [视频-长播] <|video_begin|> +【2026-02-05】 + 07:22 [视频-长播] <|video_begin|> + 07:34 [视频-长播] <|video_begin|> + 07:34 [视频-长播] <|video_begin|> + 07:34 [视频-长播] <|video_begin|> + 07:34 [视频-长播] <|video_begin|> + 12:21 [视频-长播] <|video_begin|> + 12:25 [视频-长播] <|video_begin|> + 12:40 [视频-长播] <|video_begin|> + 12:40 [视频-长播] <|video_begin|> + 15:12 [视频-长播] <|video_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，根据以上用户交互历史，针对目标主题抽取兼具行为递进性与内在关联性的交互行为逻辑链。 +交互行为类型（固定格式严禁更改）： 广告-点击、广告-深度转化、视频-浏览、视频-长播、搜索-搜索、商品-点击、商品-购买、直播-关注、直播-首次打赏 +核心提取逻辑（递进性准则）： +按照时间顺序抽取 5 步以内的行为链，要求后续交互B必须是前序交互A在场景需求协同补充、副作用诱发或兴趣细化升级上的延伸——也就是说，B 必须因 A 而产生，严禁提取任何品类平级、内容重复或仅受天气/促销影响形成的并列凑单行为。 +1.场景驱动协同：交互 B 与 交互 A 必须在同一生活场景、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 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 的需求比 交互 A 更具体详细, 但不包括多次重复的购买、点击、搜索等行为，避免重复节点内容。 +请针对以下主题提取行为逻辑链： +主题：从泛化皮肤问题到聚焦特定药品成分的诊疗收敛 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "从泛化皮肤问题到聚焦特定药品成分的诊疗收敛", + "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":"从泛化皮肤问题到聚焦特定药品成分的诊疗收敛","events":[{"date":"2025-11-05","action":"[商品-点击] <|prod_begin|>","logic":"初始触发：用户开始关注皮肤问题，点击了针对“皮炎湿疹、脱屑红斑”的通用型外用敷料，表现出对皮肤症状的初步认知和解决意图。"},{"date":"2025-11-27","action":"[商品-点击] <|prod_begin|>","logic":"认知聚焦与方案转换：用户的兴趣从外用敷料转向了具体的口服药物“百癣夏塔热胶囊”，其适应症（各类癣、皮炎、痤疮）更广谱，表明用户可能在寻求更根本的内服解决方案，实现了从“外用”到“内服”的认知跃迁。"},{"date":"2025-12-03","action":"[商品-点击] <|prod_begin|>","logic":"决策强化与验证：在首次点击该药品后的一周内，用户再次点击同一药品。这种重复行为极大地增强了逻辑链的置信度，表明用户正在对该特定药品进行持续的评估和考虑，而非随机浏览，完成了从“发现”到“锁定”的决策收敛过程。"}]}}<|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。 +以下是一个用户的多域历史行为信息： +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|>，购买了 <|prod_begin|>, <|prod_begin|>。 + +请根据以上信息，给出该用户在直播、电商、视频、广告场景中的目标内容。/no_think<|im_end|> +<|im_start|>assistant +该用户最近点击了商品: <|prod_begin|><|im_end|> +<|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, -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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-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, 75882, 20002, 104044, 72651, 34187, 45943, 25, 220, 176247, 152851, 162248, 170989, 151645, 198, -100, -100, -100, -100, -100, -100, -100][INFO|configuration_utils.py:769] 2026-07-10 23:56:54,119 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v12_user_cot_focus_lr15e6/config.json +[INFO|configuration_utils.py:847] 2026-07-10 23:56:54,119 >> Model config Qwen3Config { + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": null, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": 151643, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 1000000, + "rope_type": "default" + }, + "sliding_window": null, + "tie_word_embeddings": false, + "transformers_version": "5.6.0", + "use_cache": false, + "use_sliding_window": false, + "vocab_size": 176253 +} + + +labels: +{"logic_chain":{"name":"从被动观赏到主动实践的节日装饰决策链","events":[{"date":"2026-02-04","action":"[视频-关注/长播] <|video_begin|>","logic":"兴趣触发：被动接收到关于“灯笼制作”的视频内容，对节日装饰产生初步兴趣，但认知停留在成品外观层面。"},{"date":"2026-01-29","action":"[商品-购买] <|prod_begin|>","logic":"认知收敛与行动转化：从对灯笼成品的笼统兴趣，聚焦到实现其发光效果的核心组件“无线遥控LED灯芯”上，并完成购买。这表明用户已从欣赏转向实践，并对装饰方案的技术细节（无线、遥控）产生了明确的功能性需求，是典型的认知增量和行为深化。"}]}}<|im_end|> +["<|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|> +["<|ad_begin|>","<|ad_begin|>","<|living_begin|>","<|living_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>"]<|im_end|> +{"logic_chain":{"name":"从泛化皮肤问题到聚焦特定药品成分的诊疗收敛","events":[{"date":"2025-11-05","action":"[商品-点击] <|prod_begin|>","logic":"初始触发：用户开始关注皮肤问题，点击了针对“皮炎湿疹、脱屑红斑”的通用型外用敷料，表现出对皮肤症状的初步认知和解决意图。"},{"date":"2025-11-27","action":"[商品-点击] <|prod_begin|>","logic":"认知聚焦与方案转换：用户的兴趣从外用敷料转向了具体的口服药物“百癣夏塔热胶囊”，其适应症（各类癣、皮炎、痤疮）更广谱，表明用户可能在寻求更根本的内服解决方案，实现了从“外用”到“内服”的认知跃迁。"},{"date":"2025-12-03","action":"[商品-点击] <|prod_begin|>","logic":"决策强化与验证：在首次点击该药品后的一周内，用户再次点击同一药品。这种重复行为极大地增强了逻辑链的置信度，表明用户正在对该特定药品进行持续的评估和考虑，而非随机浏览，完成了从“发现”到“锁定”的决策收敛过程。"}]}}<|im_end|> +该用户最近点击了商品: <|prod_begin|><|im_end|> + +[INFO|2026-07-10 23:56:54] llamafactory.model.model_utils.kv_cache:144 >> KV cache is disabled during training. +[INFO|2026-07-10 23:56:54] llamafactory.model.model_utils.liger_kernel:144 >> Liger kernel has been applied to the model. +[INFO|modeling_utils.py:748] 2026-07-10 23:56:54,444 >> loading weights file /home/ll/llm4rec/experiments/outputs/v12_user_cot_focus_lr15e6/model.safetensors +[INFO|modeling_utils.py:821] 2026-07-10 23:56:54,444 >> Will use dtype=torch.bfloat16 as defined in model's config object +[INFO|configuration_utils.py:1027] 2026-07-10 23:56:54,587 >> 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/v12_user_cot_focus_lr15e6/generation_config.json +[INFO|configuration_utils.py:1027] 2026-07-10 23:56:55,153 >> 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] 2026-07-10 23:56:55,153 >> Could not locate the custom_generate/generate.py inside /home/ll/llm4rec/experiments/outputs/v12_user_cot_focus_lr15e6. +[INFO|2026-07-10 23:56:55] llamafactory.model.model_utils.checkpointing:144 >> Gradient checkpointing enabled. +[INFO|2026-07-10 23:56:55] llamafactory.model.model_utils.attention:144 >> Using FlashAttention-2 for faster training and inference. +[INFO|2026-07-10 23:56:55] llamafactory.model.adapter:144 >> Pure bf16 / BAdam detected, remaining trainable params in half precision. +[INFO|2026-07-10 23:56:55] llamafactory.model.adapter:144 >> Fine-tuning method: Full +[INFO|2026-07-10 23:56:55] llamafactory.model.loader:144 >> trainable params: 801,433,600 || all params: 801,433,600 || trainable%: 100.0000 +[INFO|trainer.py:1469] 2026-07-10 23:56:55,286 >> ***** Running training ***** +[INFO|trainer.py:1470] 2026-07-10 23:56:55,286 >> Num examples = 927 +[INFO|trainer.py:1471] 2026-07-10 23:56:55,286 >> Num Epochs = 1 +[INFO|trainer.py:1472] 2026-07-10 23:56:55,286 >> Num update steps per epoch = 232 +[INFO|trainer.py:1473] 2026-07-10 23:56:55,286 >> Instantaneous batch size per device = 1 +[INFO|trainer.py:1476] 2026-07-10 23:56:55,286 >> Total train batch size (w. parallel, distributed & accumulation) = 4 +[INFO|trainer.py:1477] 2026-07-10 23:56:55,286 >> Gradient Accumulation steps = 4 +[INFO|trainer.py:1478] 2026-07-10 23:56:55,287 >> Total optimization steps = 70 +[INFO|trainer.py:1479] 2026-07-10 23:56:55,287 >> Number of trainable parameters = 801,433,600 + 0%| | 0/70 [00:00> `use_return_dict` is deprecated! 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Do not forget to share your model on huggingface.co/models =) + + + 100%|██████████| 70/70 [09:23<00:00, 8.09s/it] 100%|██████████| 70/70 [09:23<00:00, 8.06s/it] +[INFO|trainer.py:3815] 2026-07-11 00:06:19,275 >> Saving model checkpoint to /home/ll/llm4rec/experiments/outputs/v27_v12_product_ad_rec_lite_lr16e6_ep03 +[INFO|configuration_utils.py:533] 2026-07-11 00:06:19,276 >> Configuration saved in /home/ll/llm4rec/experiments/outputs/v27_v12_product_ad_rec_lite_lr16e6_ep03/config.json +[INFO|configuration_utils.py:816] 2026-07-11 00:06:19,276 >> Configuration saved in /home/ll/llm4rec/experiments/outputs/v27_v12_product_ad_rec_lite_lr16e6_ep03/generation_config.json +{'loss': '2.611', 'grad_norm': '100', 'learning_rate': '1.597e-06', 'epoch': '0.02157'} +{'loss': '2.224', 'grad_norm': '28.75', 'learning_rate': '1.559e-06', 'epoch': '0.04315'} +{'loss': '2.229', 'grad_norm': '46.75', 'learning_rate': '1.48e-06', 'epoch': '0.06472'} +{'loss': '2.124', 'grad_norm': '80.5', 'learning_rate': '1.366e-06', 'epoch': '0.0863'} +{'loss': '2.259', 'grad_norm': '23.88', 'learning_rate': '1.221e-06', 'epoch': '0.1079'} +{'loss': '2.268', 'grad_norm': '21.75', 'learning_rate': '1.054e-06', 'epoch': '0.1294'} +{'loss': '2.119', 'grad_norm': '46.5', 'learning_rate': '8.738e-07', 'epoch': '0.151'} +{'loss': '1.851', 'grad_norm': '14.38', 'learning_rate': '6.895e-07', 'epoch': '0.1726'} +{'loss': '2.078', 'grad_norm': '53.75', 'learning_rate': '5.11e-07', 'epoch': '0.1942'} +{'loss': '2.164', 'grad_norm': '23.38', 'learning_rate': '3.479e-07', 'epoch': '0.2157'} +{'loss': '2.128', 'grad_norm': '16.25', 'learning_rate': '2.088e-07', 'epoch': '0.2373'} +{'loss': '2.141', 'grad_norm': '16.12', 'learning_rate': '1.011e-07', 'epoch': '0.2589'} +{'loss': '2.04', 'grad_norm': '20.12', 'learning_rate': '3.054e-08', 'epoch': '0.2805'} +{'loss': '2.036', 'grad_norm': '20', 'learning_rate': '8.536e-10', 'epoch': '0.302'} +{'train_runtime': '564', 'train_samples_per_second': '0.493', 'train_steps_per_second': '0.124', 'train_loss': '2.162', 'epoch': '0.302'} + Writing model shards: 0%| | 0/1 [00:00> Model weights saved in /home/ll/llm4rec/experiments/outputs/v27_v12_product_ad_rec_lite_lr16e6_ep03/model.safetensors +[INFO|tokenization_utils_base.py:3278] 2026-07-11 00:06:20,253 >> chat template saved in /home/ll/llm4rec/experiments/outputs/v27_v12_product_ad_rec_lite_lr16e6_ep03/chat_template.jinja +[INFO|tokenization_utils_base.py:2111] 2026-07-11 00:06:20,274 >> tokenizer config file saved in /home/ll/llm4rec/experiments/outputs/v27_v12_product_ad_rec_lite_lr16e6_ep03/tokenizer_config.json +***** train metrics ***** + epoch = 0.302 + total_flos = 31475261GF + train_loss = 2.1623 + train_runtime = 0:09:23.98 + train_samples_per_second = 0.493 + train_steps_per_second = 0.124 +Figure saved at: /home/ll/llm4rec/experiments/outputs/v27_v12_product_ad_rec_lite_lr16e6_ep03/training_loss.png +[WARNING|2026-07-11 00:06:20] llamafactory.extras.ploting:149 >> No 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