From bf55685cf410c7711516074aa0c2b53d32e0d9e6 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sun, 2 Aug 2026 11:07:17 +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/v32_v29_balanced_r3_draft_lr8e7_ep020 Source: Original Platform --- .gitattributes | 36 + README.md | 58 + all_results.json | 8 + chat_template.jinja | 89 + config.json | 63 + experiment_recipe.json | 67 + generation_config.json | 12 + model.safetensors | 3 + ...84520.ubuntu-System-Product-Name.1295877.0 | 3 + tokenizer.json | 3 + tokenizer_config.json | 16 + train.log | 2141 +++++++++++++++++ train_results.json | 8 + trainer_log.jsonl | 9 + trainer_state.json | 99 + training_args.bin | 3 + training_loss.png | Bin 0 -> 44939 bytes 17 files changed, 2618 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/Jul13_03-28-40_ubuntu-System-Product-Name/events.out.tfevents.1783884520.ubuntu-System-Product-Name.1295877.0 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..6ec32f3 --- /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: v32_v29_balanced_r3_draft_lr8e7_ep020 + results: [] +--- + + + +# v32_v29_balanced_r3_draft_lr8e7_ep020 + +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_v29_balanced_r3_draft 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: 8e-07 +- train_batch_size: 1 +- eval_batch_size: 8 +- seed: 202607321 +- 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: 0.2 + +### Training results + + + +### Framework versions + +- Transformers 5.6.0 +- Pytorch 2.7.1+cu126 +- Datasets 4.0.0 +- Tokenizers 0.22.2 diff --git a/all_results.json b/all_results.json new file mode 100644 index 0000000..8324119 --- /dev/null +++ b/all_results.json @@ -0,0 +1,8 @@ +{ + "epoch": 0.201765447667087, + "total_flos": 1.92457717123584e+16, + "train_loss": 1.7309840440750122, + "train_runtime": 323.247, + "train_samples_per_second": 0.491, + "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..cb835b4 --- /dev/null +++ b/experiment_recipe.json @@ -0,0 +1,67 @@ +{ + "created_at": "2026-07-13 03:28:12", + "run": { + "name": "v32_v29_balanced_r3_draft_lr8e7_ep020", + "dataset": "v29_balanced_r3_draft", + "model_path": "/home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018", + "lr": "8.0e-7", + "epochs": 0.2, + "warmup": 0.02, + "scheduler": "cosine", + "seed": 202607321, + "note": "v29 continuation and balanced four-domain R3 specialist. Equalize live/ad/product/video target supervision and train concise individualized interest-evolution-task CoT plus route-correct direct answers. Goal: reduce video dominance and improve recommendation balance while retaining meaningful CoT.", + "config": "/home/ll/llm4rec/experiments/configs/v32_v29_balanced_r3_draft_lr8e7_ep020.yaml" + }, + "dataset_manifest": { + "name": "v29_balanced_r3_draft", + "path": "/home/ll/llm4rec/experiments/data/v29_balanced_r3_draft.jsonl", + "records": 15942, + "groups": { + "rec": 10342, + "user": 2400, + "item": 3200 + }, + "variants": { + "rec_r3_draft_evidence": 5171, + "user_strict_logic": 892, + "rec_no_think_direct_final": 5171, + "item_no_think_direct_final": 1563, + "user_strict_array": 1087, + "user_extra_no_think_logic": 421, + "item_short_think": 1637 + }, + "sha256": "a7e50c88eef370f6de88e1afa70995c7712afa750acc711b490d34d700d44f31", + "seed": 202607112 + }, + "dataset_recipe": "v29 four-domain cognition specialist: equal target counts for live/ad/product/video in both individualized R3 draft-thinking and direct no-thinking routes, plus item and user guards.", + "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.", + "v25": "v19 product-heavy repair did not beat v19: total=0.8793. Logs show heavy repeated product tokens and repeated short-think phrases; avoid this over-sampling pattern.", + "v26": "best latest batch and fastest eval: total=0.8804, eval_time≈45.7min, best user1/rec1. It is useful as a base, but rec2/world dropped.", + "v27": "v12 product/ad repair kept user2/world relatively better but was slow and template-heavy: total=0.8563, eval_time≈70.6min. Do not continue this exact direction.", + "v28": "v26 no-template repair regressed to total=0.8748 and slowed to 51.7min; broad continuation from v26 did not recover world/rec balance.", + "v29": "new best CoT-native model: total=0.9038, eval_time≈45.3min. Strong item/user1/ad/product/world, with live recommendation (0.1054) the clearest remaining gap. Logs still show occasional no-think tag leakage and a repeated generic live-reasoning sentence.", + "v30": "three-source soup reached total=0.8846, below v29. It retained speed/world but diluted recommendation scores; do not repeat broad checkpoint averaging.", + "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": "a5a06949ec583ca8f6e5c6de8690d3005ec1ef801b508b7286f1162f5b0c87b4", + "deadline": "none", + "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/v32_v29_balanced_r3_draft_lr8e7_ep020.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..c8ef870 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:783537a69d415f4a872e458262ee52890d2b86191379f8174010c7c1ab2711f0 +size 1602902832 diff --git a/runs/Jul13_03-28-40_ubuntu-System-Product-Name/events.out.tfevents.1783884520.ubuntu-System-Product-Name.1295877.0 b/runs/Jul13_03-28-40_ubuntu-System-Product-Name/events.out.tfevents.1783884520.ubuntu-System-Product-Name.1295877.0 new file mode 100644 index 0000000..583c445 --- /dev/null +++ b/runs/Jul13_03-28-40_ubuntu-System-Product-Name/events.out.tfevents.1783884520.ubuntu-System-Product-Name.1295877.0 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:96f4ce3833677f852fa92c32a964bafd6b920d9c74a632a9cfe06e5ca7fb0551 +size 7961 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..35706a1 --- /dev/null +++ b/train.log @@ -0,0 +1,2141 @@ +/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|2026-07-13 03:28:15] 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] 2026-07-13 03:28:15,468 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-13 03:28:15,470 >> 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] 2026-07-13 03:28:16,137 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-13 03:28:16,138 >> 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] 2026-07-13 03:28:16,138 >> loading configuration file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/config.json +[INFO|configuration_utils.py:847] 2026-07-13 03:28:16,139 >> 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|2026-07-13 03:28:16] llamafactory.data.loader:144 >> Loading dataset /home/ll/llm4rec/experiments/data/v29_balanced_r3_draft.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: 13175 examples [00:00, 117873.57 examples/s] Generating train split: 15942 examples [00:00, 117511.33 examples/s] + Converting format of dataset (num_proc=16): 0%| | 0/15942 [00:00user +【用户交互历史】： +【2025-01-03】 + --:-- [直播-打赏] <|living_begin|> +【2025-01-05】 + --:-- [直播-关注] <|living_begin|> +【2025-02-15】 + --:-- [直播-关注] <|living_begin|> +【2025-03-14】 + --:-- [直播-关注] <|living_begin|> +【2025-04-22】 + --:-- [商品-购买] <|prod_begin|> +【2025-04-23】 + --:-- [商品-购买] <|prod_begin|> +【2025-04-25】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-04】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-05-23】 + --:-- [商品-购买] <|prod_begin|> +【2025-05-25】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-05-27】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-02】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-14】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-20】 + --:-- [商品-购买] <|prod_begin|> +【2025-06-29】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-07-03】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-07-19】 + --:-- [商品-购买] <|prod_begin|> +【2025-07-31】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-15】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-08-17】 + --:-- [直播-关注] <|living_begin|> +【2025-08-31】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-09-04】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-12】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-09-15】 + --:-- [直播-关注] <|living_begin|> +【2025-09-16】 + --:-- [直播-打赏] <|living_begin|> +【2025-09-17】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-09-29】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-09】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-12】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-20】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-27】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-03】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-05】 + --:-- [直播-打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-07】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-08】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-打赏] <|living_begin|> +【2025-11-17】 + --:-- [直播-关注] <|living_begin|> +【2025-11-19】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-20】 + --:-- [直播-关注] <|living_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|> + --:-- [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|> +【2025-11-23】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-25】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-28】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-30】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-02】 + --:-- [直播-关注] <|living_begin|> +【2025-12-03】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-06】 + --:-- [直播-关注] <|living_begin|> +【2025-12-07】 + --:-- [直播-关注] <|living_begin|> +【2025-12-14】 + --:-- [直播-关注] <|living_begin|> +【2025-12-15】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-16】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-17】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-18】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-20】 + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-12-22】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-28】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-31】 + --:-- [直播-首次打赏] <|living_begin|> +【2026-01-01】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2026-01-02】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-04】 + 06:40 [广告-深度转化] <|ad_begin|> + 09:08 [广告-深度转化] <|ad_begin|> + 18:55 [广告-深度转化] <|ad_begin|> +【2026-01-05】 + 03:43 [广告-深度转化] <|ad_begin|> + 04:23 [广告-深度转化] <|ad_begin|> + 05:08 [广告-深度转化] <|ad_begin|> + 13:13 [广告-深度转化] <|ad_begin|> + 15:30 [广告-深度转化] <|ad_begin|> + 17:25 [广告-深度转化] <|ad_begin|> + 17:40 [广告-深度转化] <|ad_begin|> +【2026-01-06】 + 04:53 [广告-深度转化] <|ad_begin|> + 23:19 [广告-深度转化] <|ad_begin|> +【2026-01-07】 + --:-- [直播-首次打赏] <|living_begin|> + 10:27 [广告-深度转化] <|ad_begin|> + 17:25 [广告-深度转化] <|ad_begin|> + 17:40 [广告-深度转化] <|ad_begin|> +【2026-01-08】 + 03:27 [广告-深度转化] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 16:22 [广告-深度转化] <|ad_begin|> + 16:32 [广告-点击] <|ad_begin|> + 16:42 [广告-深度转化] <|ad_begin|> + 16:42 [广告-点击] <|ad_begin|> + 19:38 [广告-深度转化] <|ad_begin|> + 19:38 [广告-点击] <|ad_begin|> +【2026-01-09】 + --:-- [直播-关注] <|living_begin|> + 02:53 [广告-深度转化] <|ad_begin|> + 02:53 [广告-点击] <|ad_begin|> + 09:06 [广告-深度转化] <|ad_begin|> + 09:06 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-10】 + 03:02 [广告-深度转化] <|ad_begin|> + 03:02 [广告-点击] <|ad_begin|> + 03:13 [广告-点击] <|ad_begin|> + 05:07 [广告-点击] <|ad_begin|> + 05:41 [广告-深度转化] <|ad_begin|> + 05:41 [广告-点击] <|ad_begin|> + 08:07 [广告-深度转化] <|ad_begin|> + 08:07 [广告-点击] <|ad_begin|> + 08:15 [广告-深度转化] <|ad_begin|> + 08:15 [广告-点击] <|ad_begin|> + 08:31 [广告-深度转化] <|ad_begin|> + 08:31 [广告-点击] <|ad_begin|> + 09:01 [广告-深度转化] <|ad_begin|> + 09:01 [广告-点击] <|ad_begin|> + 16:06 [广告-深度转化] <|ad_begin|> + 16:06 [广告-点击] <|ad_begin|> + 17:42 [广告-深度转化] <|ad_begin|> + 17:42 [广告-点击] <|ad_begin|> + 17:52 [广告-点击] <|ad_begin|> + 18:04 [广告-深度转化] <|ad_begin|> + 18:04 [广告-点击] <|ad_begin|> +【2026-01-11】 + 04:38 [广告-深度转化] <|ad_begin|> + 04:38 [广告-点击] <|ad_begin|> +【2026-01-12】 + --:-- [直播-打赏] <|living_begin|> + 06:35 [广告-深度转化] <|ad_begin|> + 06:35 [广告-点击] <|ad_begin|> + 15:36 [广告-点击] <|ad_begin|> +【2026-01-13】 + 03:09 [广告-深度转化] <|ad_begin|> + 03:09 [广告-点击] <|ad_begin|> + 04:48 [广告-深度转化] <|ad_begin|> + 04:48 [广告-点击] <|ad_begin|> + 08:28 [广告-深度转化] <|ad_begin|> + 08:28 [广告-点击] <|ad_begin|> + 09:54 [广告-深度转化] <|ad_begin|> + 09:54 [广告-点击] <|ad_begin|> + 11:11 [广告-深度转化] <|ad_begin|> + 11:11 [广告-点击] <|ad_begin|> + 13:18 [广告-深度转化] <|ad_begin|> + 13:18 [广告-点击] <|ad_begin|> +【2026-01-14】 + --:-- [直播-首次打赏] <|living_begin|> + 04:22 [广告-深度转化] <|ad_begin|> + 04:22 [广告-点击] <|ad_begin|> + 10:23 [广告-深度转化] <|ad_begin|> + 10:23 [广告-点击] <|ad_begin|> + 17:10 [广告-深度转化] <|ad_begin|> + 17:10 [广告-点击] <|ad_begin|> + 20:10 [广告-深度转化] <|ad_begin|> + 20:10 [广告-点击] <|ad_begin|> +【2026-01-16】 + 03:13 [广告-深度转化] <|ad_begin|> + 03:13 [广告-点击] <|ad_begin|> +【2026-01-17】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-18】 + 03:11 [广告-点击] <|ad_begin|> + 04:23 [广告-深度转化] <|ad_begin|> + 04:23 [广告-点击] <|ad_begin|> + 18:31 [广告-深度转化] <|ad_begin|> + 18:31 [广告-点击] <|ad_begin|> +【2026-01-19】 + --:-- [直播-关注/打赏] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-20】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 04:13 [广告-点击] <|ad_begin|> + 18:02 [广告-深度转化] <|ad_begin|> + 18:02 [广告-点击] <|ad_begin|> +【2026-01-21】 + 03:26 [广告-深度转化] <|ad_begin|> + 03:26 [广告-点击] <|ad_begin|> + 03:41 [广告-深度转化] <|ad_begin|> + 03:41 [广告-点击] <|ad_begin|> + 05:41 [广告-点击] <|ad_begin|> + 05:47 [广告-深度转化] <|ad_begin|> + 05:47 [广告-点击] <|ad_begin|> + 09:19 [广告-深度转化] <|ad_begin|> + 09:19 [广告-点击] <|ad_begin|> + 09:29 [广告-深度转化] <|ad_begin|> + 09:29 [广告-点击] <|ad_begin|> + 09:43 [广告-深度转化] <|ad_begin|> + 09:43 [广告-点击] <|ad_begin|> + 17:29 [广告-深度转化] <|ad_begin|> + 17:29 [广告-点击] <|ad_begin|> +【2026-01-22】 + 11:11 [视频-点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 14:08 [视频-点赞/长播] <|video_begin|> + 18:03 [广告-点击] <|ad_begin|> + 18:10 [视频-点赞/长播] <|video_begin|> +【2026-01-23】 + 04:00 [视频-点赞/长播] <|video_begin|> + 07:08 [广告-深度转化] <|ad_begin|> + 07:08 [广告-点击] <|ad_begin|> + 11:17 [视频-点赞/长播] <|video_begin|> + 11:17 [视频-点赞/长播] <|video_begin|> + 11:17 [视频-点赞/长播] <|video_begin|> + 11:35 [广告-深度转化] <|ad_begin|> + 11:35 [广告-点击] <|ad_begin|> + 14:48 [广告-点击] <|ad_begin|> + 15:48 [视频-点赞/长播] <|video_begin|> +【2026-01-24】 + 03:05 [广告-深度转化] <|ad_begin|> + 03:05 [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-购买] <|prod_begin|> + 15:16 [视频-点赞/长播] <|video_begin|> + 15:16 [视频-点赞/长播] <|video_begin|> +【2026-01-25】 + --:-- [直播-关注/首次打赏] <|living_begin|> + 06:42 [视频-点赞/长播] <|video_begin|> + 09:07 [视频-点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 15:37 [视频-浏览] <|video_begin|> + 17:17 [广告-深度转化] <|ad_begin|> + 17:17 [广告-点击] <|ad_begin|> + 21:19 [广告-点击] <|ad_begin|> +【2026-01-26】 + 07:11 [广告-点击] <|ad_begin|> + 10:08 [广告-深度转化] <|ad_begin|> + 10:08 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 15:55 [视频-转发/长播] <|video_begin|> + 18:08 [视频-点赞/长播] <|video_begin|> + 18:10 [视频-点赞/长播] <|video_begin|> + 18:14 [视频-评论/点赞/长播] <|video_begin|> + 19:26 [广告-深度转化] <|ad_begin|> + 19:26 [广告-点击] <|ad_begin|> +【2026-01-27】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 03:35 [视频-浏览] <|video_begin|> + 09:29 [广告-点击] <|ad_begin|> + 15:10 [视频-点赞/长播] <|video_begin|> + 15:10 [视频-点赞/长播] <|video_begin|> + 16:20 [视频-点赞/长播] <|video_begin|> +【2026-01-28】 + 03:29 [视频-浏览] <|video_begin|> + 03:54 [广告-深度转化] <|ad_begin|> + 03:54 [广告-点击] <|ad_begin|> + 04:05 [广告-深度转化] <|ad_begin|> + 04:05 [广告-点击] <|ad_begin|> + 07:21 [广告-深度转化] <|ad_begin|> + 07:21 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + 14:19 [视频-点赞/长播] <|video_begin|> +【2026-01-29】 + 03:06 [视频-点赞/长播] <|video_begin|> + 03:24 [视频-点赞/长播] <|video_begin|> + 10:36 [视频-关注/长播] <|video_begin|> + 10:47 [视频-点赞/长播] <|video_begin|> + 10:47 [视频-点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 13:23 [视频-点赞/长播] <|video_begin|> + 15:52 [视频-点赞/长播] <|video_begin|> + 17:53 [视频-点赞/长播] <|video_begin|> + 20:59 [视频-点赞/长播] <|video_begin|> + 21:13 [视频-点赞/长播] <|video_begin|> + 22:48 [视频-点赞/长播] <|video_begin|> + 23:03 [视频-点赞/长播] <|video_begin|> + 23:17 [视频-点赞/长播] <|video_begin|> +【2026-01-30】 + --:-- [直播-关注] <|living_begin|> + 04:00 [视频-点赞/长播] <|video_begin|> + 04:11 [视频-点赞/长播] <|video_begin|> + 04:26 [广告-点击] <|ad_begin|> + 10:51 [视频-点赞/长播] <|video_begin|> + 10:55 [视频-点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 17:48 [视频-点赞/长播] <|video_begin|> + 17:58 [广告-深度转化] <|ad_begin|> + 17:58 [广告-点击] <|ad_begin|> +【2026-01-31】 + --:-- [直播-首次打赏] <|living_begin|> + 03:37 [广告-点击] <|ad_begin|> + 03:52 [广告-深度转化] <|ad_begin|> + 03:52 [广告-点击] <|ad_begin|> + 12:35 [视频-点赞/长播] <|video_begin|> + 12:35 [视频-点赞/长播] <|video_begin|> + 18:20 [广告-深度转化] <|ad_begin|> + 18:20 [广告-点击] <|ad_begin|> + 18:39 [视频-点赞/长播] <|video_begin|> + 18:50 [广告-深度转化] <|ad_begin|> + 18:50 [广告-点击] <|ad_begin|> + 19:31 [视频-点赞/长播] <|video_begin|> + 19:40 [视频-点赞/长播] <|video_begin|> +【2026-02-01】 + 06:11 [广告-深度转化] <|ad_begin|> + 06:11 [广告-点击] <|ad_begin|> + 15:14 [广告-深度转化] <|ad_begin|> + 15:14 [广告-点击] <|ad_begin|> + 15:44 [广告-点击] <|ad_begin|> + 16:27 [视频-点赞/长播] <|video_begin|> + 16:27 [视频-点赞/长播] <|video_begin|> + 18:07 [视频-点赞/长播] <|video_begin|> + 18:22 [广告-深度转化] <|ad_begin|> + 18:22 [广告-点击] <|ad_begin|> + 21:04 [广告-点击] <|ad_begin|> +【2026-02-02】 + 18:11 [视频-点赞/长播] <|video_begin|> + 19:11 [视频-点赞/长播] <|video_begin|> +【2026-02-03】 + 02:35 [广告-深度转化] <|ad_begin|> + 02:35 [广告-点击] <|ad_begin|> + 03:17 [视频-点赞/长播] <|video_begin|> + 03:20 [视频-点赞/长播] <|video_begin|> + 08:46 [视频-长播] <|video_begin|> + 08:46 [视频-长播] <|video_begin|> + 09:27 [视频-长播] <|video_begin|> + 12:34 [视频-长播] <|video_begin|> + 13:31 [视频-长播] <|video_begin|> + 13:31 [视频-长播] <|video_begin|> + 13:31 [视频-长播] <|video_begin|> + 13:36 [视频-长播] <|video_begin|> + 13:36 [视频-长播] <|video_begin|> + 13:36 [视频-长播] <|video_begin|> + 13:39 [视频-长播] <|video_begin|> + 13:39 [视频-长播] <|video_begin|> + 14:58 [视频-长播] <|video_begin|> + 14:58 [视频-长播] <|video_begin|> + 15:12 [视频-点赞/长播] <|video_begin|> +【2026-02-04】 + --:-- [直播-首次打赏] <|living_begin|> + 01:56 [视频-长播] <|video_begin|> + 04:09 [视频-长播] <|video_begin|> + 10:50 [视频-长播] <|video_begin|> + 10:50 [视频-长播] <|video_begin|> + 20:36 [视频-长播] <|video_begin|> + 20:38 [视频-长播] <|video_begin|> + 20:38 [视频-长播] <|video_begin|> + 22:20 [视频-长播] <|video_begin|> + 22:28 [视频-长播] <|video_begin|> + 22:29 [视频-长播] <|video_begin|> + 22:29 [视频-长播] <|video_begin|> + 22:29 [视频-长播] <|video_begin|> + 22:38 [视频-长播] <|video_begin|> + 22:45 [视频-长播] <|video_begin|> + 23:03 [视频-长播] <|video_begin|> + 23:09 [视频-长播] <|video_begin|> + 23:09 [视频-长播] <|video_begin|> + 23:09 [视频-长播] <|video_begin|> + 23:17 [视频-长播] <|video_begin|> + 23:22 [视频-长播] <|video_begin|> + 23:22 [视频-长播] <|video_begin|> + 23:28 [视频-长播] <|video_begin|> + 23:28 [视频-长播] <|video_begin|> + 23:30 [视频-长播] <|video_begin|> + 23:30 [视频-长播] <|video_begin|> + 23:30 [视频-长播] <|video_begin|> +【2026-02-05】 + 04:48 [视频-长播] <|video_begin|> + 05:02 [视频-长播] <|video_begin|> + 11:21 [视频-点赞/长播] <|video_begin|> + 13:00 [视频-长播] <|video_begin|> + 13:00 [视频-长播] <|video_begin|> + 14:23 [视频-长播] <|video_begin|> + 14:24 [视频-长播] <|video_begin|> + 14:24 [视频-长播] <|video_begin|> + 14:24 [视频-长播] <|video_begin|> + 14:25 [视频-长播] <|video_begin|> + 15:48 [视频-长播] <|video_begin|> +角色任务：你是一个极端严苛的用户行为数据挖掘专家以及数据格式化专家，请根据以上用户交互历史，针对给定的主题，提取出具有行为递进逻辑和内在关联的交互行为逻辑链。 +交互行为类型（固定格式严禁更改）： 搜索-搜索、视频-浏览、视频-长播、直播-关注、直播-首次打赏、商品-点击、商品-购买、广告-点击、广告-深度转化 +核心判定逻辑（递进性准则）： +按时间先后提取不超过 5 步的行为链，要求后项交互B必须对前项交互A形成场景需求协同补充、副作用诱因或兴趣细化升级——即 B 必须是由 A 延展出来的需求，严禁提取任何品类平级、内容重复或仅因天气/促销造成的并列凑单行为。 +1.场景驱动协同：交互 B 与交互 A 必须同属一个生活场景及主题类目，并呈现极强的需求补完性。 +2.兴趣因果递进：交互 B 必须与交互 A 构成因果递进关系，即 B 来源于 A 带来的副作用、新需求，或 A 是 B 的触发诱因。 +3.需求深度细化：在同一主题类目下，交互 B 需要比交互 A 表达得更具体详细，但不纳入重复性的购买、点击、搜索等行为，避免形成重复节点。 +请面向以下主题提取行为逻辑链： +主题：从泛化个人形象提升到具体化社交工具探索 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "从泛化个人形象提升到具体化社交工具探索", + "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":"从泛化个人形象提升到具体化社交工具探索","events":[{"date":"2025-06-14","action":"[商品-购买] <|prod_begin|>","logic":"初始触发：开始关注带有“香氛”属性的个人护理产品，初步探索通过气味提升个人形象。"},{"date":"2025-09-01","action":"[商品-购买] <|prod_begin|>","logic":"需求强化：复购同类产品，但商品描述从“深层清洁”升级为“洗出伪体香”、“激发魅力”，表明用户对气味社交功能的认知加深，并追求更强的效果。"},{"date":"2025-09-04","action":"[商品-购买] <|prod_begin|>","logic":"认知跃迁与行为升级：意识到沐浴露的留香效果有限，首次转向更专业、持久的香氛产品——香水。从被动、短暂的“洗护留香”升级为主动、专业的“穿戴香气”，完成了从基础个护到专业社交工具的认知跃迁。"}]}}<|im_end|> +<|im_start|>user +【用户交互历史】： +【2025-02-07】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-07-16】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-07-18】 + --:-- [直播-关注] <|living_begin|> +【2025-09-14】 + --:-- [直播-关注] <|living_begin|> +【2025-10-09】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-13】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-14】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-15】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-21】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-23】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-24】 + --:-- [直播-关注] <|living_begin|> +【2025-10-26】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-27】 + --:-- [直播-关注] <|living_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|> +【2025-10-31】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-12】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-13】 + --:-- [直播-关注] <|living_begin|> +【2025-11-18】 + --:-- [直播-关注] <|living_begin|> +【2025-11-21】 + --:-- [直播-关注] <|living_begin|> +【2025-11-22】 + --:-- [直播-关注] <|living_begin|> +【2025-11-26】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-28】 + --:-- [直播-关注] <|living_begin|> +【2025-12-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-08】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-11】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-13】 + 14:45 [广告-点击] <|ad_begin|> +【2025-12-14】 + 21:20 [广告-点击] <|ad_begin|> +【2025-12-15】 + 19:59 [广告-点击] <|ad_begin|> + 20:17 [广告-深度转化] <|ad_begin|> + 20:17 [广告-点击] <|ad_begin|> + 21:26 [广告-深度转化] <|ad_begin|> + 21:26 [广告-点击] <|ad_begin|> +【2025-12-16】 + 08:05 [广告-深度转化] <|ad_begin|> + 08:05 [广告-点击] <|ad_begin|> + 08:45 [广告-点击] <|ad_begin|> + 19:05 [广告-深度转化] <|ad_begin|> + 19:05 [广告-点击] <|ad_begin|> + 19:48 [广告-点击] <|ad_begin|> +【2025-12-18】 + 10:46 [广告-点击] <|ad_begin|> + 15:27 [广告-点击] <|ad_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [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|> +【2025-12-19】 + 22:07 [广告-深度转化] <|ad_begin|> + 22:07 [广告-点击] <|ad_begin|> +【2025-12-20】 + 21:46 [广告-点击] <|ad_begin|> +【2025-12-29】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 21:07 [广告-深度转化] <|ad_begin|> + 21:07 [广告-点击] <|ad_begin|> +【2025-12-30】 + 02:15 [广告-点击] <|ad_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-31】 + 20:18 [广告-点击] <|ad_begin|> +【2026-01-02】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-03】 + 15:48 [广告-深度转化] <|ad_begin|> + 15:48 [广告-点击] <|ad_begin|> +【2026-01-04】 + --:-- [直播-关注] <|living_begin|> + 02:42 [广告-点击] <|ad_begin|> +【2026-01-06】 + 02:43 [广告-点击] <|ad_begin|> +【2026-01-09】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-12】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-13】 + --:-- [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|> +【2026-01-16】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-17】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-18】 + 09:24 [广告-点击] <|ad_begin|> + 13:18 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-20】 + 17:55 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-21】 + 17:02 [视频-关注/点赞/长播] <|video_begin|> + 17:14 [视频-关注/收藏/点赞/长播] <|video_begin|> + 17:21 [视频-收藏/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-22】 + 05:57 [视频-关注/点赞/长播] <|video_begin|> + 06:00 [视频-收藏/点赞/长播] <|video_begin|> + 06:07 [视频-收藏/点赞/长播] <|video_begin|> + 07:17 [视频-评论/长播] <|video_begin|> + 07:53 [广告-点击] <|ad_begin|> + 13:25 [视频-收藏/点赞/长播] <|video_begin|> + 13:51 [视频-收藏/点赞/长播] <|video_begin|> + 14:41 [视频-收藏/点赞/长播] <|video_begin|> + 21:46 [视频-收藏/点赞/长播] <|video_begin|> + 22:15 [视频-关注/点赞/长播] <|video_begin|> +【2026-01-23】 + 18:45 [视频-收藏/点赞/长播] <|video_begin|> + 19:29 [视频-关注/收藏/点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 21:11 [视频-评论/点赞/长播] <|video_begin|> +【2026-01-24】 + 08:46 [视频-关注/点赞/长播] <|video_begin|> + 18:16 [视频-转发/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-25】 + 15:08 [视频-收藏/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-26】 + 04:50 [视频-收藏/点赞/长播] <|video_begin|> + 08:02 [广告-点击] <|ad_begin|> + 08:30 [视频-关注/收藏/点赞/长播] <|video_begin|> + 09:54 [视频-收藏/点赞/长播] <|video_begin|> + 17:19 [视频-收藏/点赞/长播] <|video_begin|> + 17:52 [视频-收藏/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-27】 + 00:06 [视频-收藏/长播] <|video_begin|> + 18:33 [视频-收藏/点赞/长播] <|video_begin|> + 18:50 [视频-收藏/点赞/长播] <|video_begin|> + 19:05 [视频-收藏/点赞/长播] <|video_begin|> +【2026-01-28】 + 03:07 [视频-关注/点赞/长播] <|video_begin|> + 05:30 [视频-收藏/长播] <|video_begin|> + 15:49 [视频-关注/点赞/长播] <|video_begin|> + 15:49 [视频-收藏/点赞/长播] <|video_begin|> + 15:53 [视频-收藏/点赞/长播] <|video_begin|> + 15:53 [视频-评论/长播] <|video_begin|> + 19:44 [视频-关注/点赞/长播] <|video_begin|> + 19:44 [视频-收藏/点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 21:01 [视频-收藏/点赞/长播] <|video_begin|> +【2026-01-29】 + 04:24 [视频-收藏/点赞/长播] <|video_begin|> + 04:45 [视频-收藏/点赞/长播] <|video_begin|> + 10:25 [视频-收藏/点赞/长播] <|video_begin|> + 10:38 [广告-点击] <|ad_begin|> + 12:01 [视频-收藏/点赞/长播] <|video_begin|> + 12:01 [视频-评论/长播] <|video_begin|> + 14:48 [视频-收藏/点赞/长播] <|video_begin|> + 14:48 [视频-收藏/点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 22:21 [视频-收藏/点赞/长播] <|video_begin|> +【2026-01-30】 + 05:34 [视频-收藏/点赞/长播] <|video_begin|> + 05:40 [视频-收藏/点赞/长播] <|video_begin|> + 05:40 [视频-收藏/点赞/长播] <|video_begin|> + 05:40 [视频-评论/收藏/点赞/长播] <|video_begin|> + 05:44 [视频-收藏/点赞/长播] <|video_begin|> + 11:16 [视频-收藏/点赞/长播] <|video_begin|> + 12:14 [视频-收藏/点赞/长播] <|video_begin|> + 12:48 [视频-收藏/点赞/长播] <|video_begin|> + 12:48 [视频-收藏/点赞/长播] <|video_begin|> + 20:05 [视频-收藏/点赞/长播] <|video_begin|> + 23:45 [广告-点击] <|ad_begin|> +【2026-01-31】 + 02:51 [视频-收藏/点赞/长播] <|video_begin|> + 03:13 [视频-收藏/点赞/长播] <|video_begin|> + 03:18 [视频-收藏/点赞/长播] <|video_begin|> + 05:28 [视频-收藏/长播] <|video_begin|> + 06:16 [视频-收藏/点赞/长播] <|video_begin|> + 07:13 [视频-收藏/点赞/长播] <|video_begin|> + 09:11 [视频-收藏/点赞/长播] <|video_begin|> + 10:17 [视频-关注/收藏/点赞/长播] <|video_begin|> + 10:17 [视频-收藏/点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 20:46 [视频-收藏/点赞/长播] <|video_begin|> + 20:49 [视频-评论/收藏/点赞/长播] <|video_begin|> + 23:04 [视频-收藏/点赞/长播] <|video_begin|> + 23:06 [视频-收藏/点赞/长播] <|video_begin|> +【2026-02-01】 + 00:10 [视频-评论/点赞/长播] <|video_begin|> + 11:25 [广告-点击] <|ad_begin|> + 11:57 [视频-关注/点赞/长播] <|video_begin|> + 12:57 [视频-评论/点赞/长播] <|video_begin|> + 13:13 [视频-收藏/点赞/长播] <|video_begin|> +【2026-02-03】 + 04:26 [视频-收藏/点赞/长播] <|video_begin|> + 04:26 [视频-收藏/点赞/长播] <|video_begin|> + 09:20 [视频-收藏/点赞/长播] <|video_begin|> + 14:49 [视频-收藏/点赞/长播] <|video_begin|> + 16:07 [视频-点赞/长播] <|video_begin|> + 16:07 [视频-点赞/长播] <|video_begin|> + 17:27 [视频-点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + 23:41 [视频-点赞/长播] <|video_begin|> + 23:43 [视频-点赞/长播] <|video_begin|> + 23:43 [视频-点赞/长播] <|video_begin|> +【2026-02-04】 + 02:58 [视频-收藏/点赞/长播] <|video_begin|> + 04:05 [视频-长播] <|video_begin|> + 04:05 [视频-长播] <|video_begin|> + 05:17 [视频-长播] <|video_begin|> + 05:21 [视频-关注/收藏/点赞/长播] <|video_begin|> + 05:25 [视频-长播] <|video_begin|> + 05:25 [视频-长播] <|video_begin|> + 05:39 [视频-点赞/长播] <|video_begin|> + 05:53 [视频-点赞/长播] <|video_begin|> + 06:25 [视频-点赞/长播] <|video_begin|> + 06:33 [视频-点赞/长播] <|video_begin|> + 06:33 [视频-点赞/长播] <|video_begin|> + 06:33 [视频-点赞/长播] <|video_begin|> + 07:43 [视频-点赞/长播] <|video_begin|> + 08:13 [视频-长播] <|video_begin|> + 08:13 [视频-点赞/长播] <|video_begin|> + 08:13 [视频-收藏/点赞/长播] <|video_begin|> + 08:21 [视频-长播] <|video_begin|> + 08:21 [视频-点赞/长播] <|video_begin|> + 08:21 [视频-点赞/长播] <|video_begin|> + 08:28 [视频-点赞/长播] <|video_begin|> + 09:01 [视频-点赞/长播] <|video_begin|> + 09:10 [视频-点赞/长播] <|video_begin|> + 09:10 [视频-点赞/长播] <|video_begin|> + 09:12 [视频-点赞/长播] <|video_begin|> + 09:12 [视频-点赞/长播] <|video_begin|> + 09:13 [视频-点赞/长播] <|video_begin|> + 09:13 [视频-点赞/长播] <|video_begin|> + 09:13 [视频-点赞/长播] <|video_begin|> + 10:09 [视频-长播] <|video_begin|> + 10:09 [视频-长播] <|video_begin|> + 10:09 [视频-点赞/长播] <|video_begin|> + 10:21 [视频-长播] <|video_begin|> + 10:21 [视频-长播] <|video_begin|> + 10:21 [视频-点赞/长播] <|video_begin|> + 10:38 [视频-长播] <|video_begin|> + 12:22 [视频-点赞/长播] <|video_begin|> + 12:28 [视频-点赞/长播] <|video_begin|> + 12:30 [视频-长播] <|video_begin|> + 12:32 [视频-长播] <|video_begin|> + 12:32 [视频-点赞/长播] <|video_begin|> + 15:08 [视频-长播] <|video_begin|> + 15:08 [视频-点赞/长播] <|video_begin|> + 15:08 [视频-点赞/长播] <|video_begin|> + 15:13 [视频-点赞/长播] <|video_begin|> + 15:14 [视频-长播] <|video_begin|> + 15:17 [视频-长播] <|video_begin|> + 15:17 [视频-长播] <|video_begin|> + 15:29 [视频-长播] <|video_begin|> + 15:29 [视频-长播] <|video_begin|> + 15:32 [视频-长播] <|video_begin|> + 15:32 [视频-长播] <|video_begin|> + 15:32 [视频-点赞/长播] <|video_begin|> + 15:35 [视频-长播] <|video_begin|> + 15:35 [视频-长播] <|video_begin|> + 15:35 [视频-点赞/长播] <|video_begin|> + 15:42 [视频-长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-02-05】 + 01:47 [视频-点赞/长播] <|video_begin|> + 01:58 [广告-点击] <|ad_begin|> + 02:40 [视频-长播] <|video_begin|> + 03:23 [视频-长播] <|video_begin|> + 03:23 [视频-点赞/长播] <|video_begin|> + 03:27 [视频-点赞/长播] <|video_begin|> + 03:27 [视频-点赞/长播] <|video_begin|> + 03:33 [视频-长播] <|video_begin|> + 03:33 [视频-评论/长播] <|video_begin|> + 03:36 [视频-长播] <|video_begin|> + 03:37 [视频-长播] <|video_begin|> + 03:39 [视频-点赞/长播] <|video_begin|> + 03:39 [视频-点赞/长播] <|video_begin|> + 03:39 [视频-评论/长播] <|video_begin|> + 03:46 [视频-点赞/长播] <|video_begin|> + 03:46 [视频-点赞/长播] <|video_begin|> + 03:48 [视频-点赞/长播] <|video_begin|> + 03:52 [视频-长播] <|video_begin|> + 07:40 [视频-长播] <|video_begin|> + 07:40 [视频-点赞/长播] <|video_begin|> + 07:41 [视频-长播] <|video_begin|> + 07:41 [视频-长播] <|video_begin|> + 07:44 [视频-点赞/长播] <|video_begin|> + 08:00 [视频-长播] <|video_begin|> + 08:07 [视频-点赞/长播] <|video_begin|> + 08:08 [视频-长播] <|video_begin|> + 08:32 [视频-长播] <|video_begin|> + 08:32 [视频-长播] <|video_begin|> + 08:32 [视频-长播] <|video_begin|> + 08:32 [视频-长播] <|video_begin|> + 08:48 [视频-点赞/长播] <|video_begin|> + 09:49 [视频-长播] <|video_begin|> + 09:57 [视频-点赞/长播] <|video_begin|> + 09:57 [视频-评论/点赞/长播] <|video_begin|> + 10:24 [视频-长播] <|video_begin|> + 10:24 [视频-长播] <|video_begin|> + 10:24 [视频-长播] <|video_begin|> + 10:24 [视频-长播] <|video_begin|> + 10:28 [视频-长播] <|video_begin|> + 11:19 [视频-长播] <|video_begin|> + 11:35 [视频-长播] <|video_begin|> + 14:09 [视频-长播] <|video_begin|> + 14:09 [视频-长播] <|video_begin|> + 15:32 [广告-点击] <|ad_begin|> + 15:41 [视频-点赞/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_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 +核心逻辑要求（递进性准则）： +请依时间顺序提取 5 步以内的行为链，并确保后项交互B是前项交互A的场景需求协同补充、副作用诱因或兴趣细化升级，也就是 B 必须由 A 的延伸需求所驱动；严禁提取任何品类平级、内容重复或仅因天气/促销形成的并列凑单行为。 +1.场景驱动协同：交互 B 与交互 A 必须处于同一生活场景和主题类目下，并具备极强的需求补完关系。 +2.兴趣因果递进：交互 B 必须由交互 A 引发的副作用或新需求而产生，或者 A 本身就是 B 的诱因。 +3.需求深度细化：在同一主题类目下,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。 +请针对下列主题提取行为逻辑链： +主题：从被动接收悬疑信息到主动探索神秘主义工具的兴趣演化 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "从被动接收悬疑信息到主动探索神秘主义工具的兴趣演化", + "events": [ + { + "date": "YYYY-MM-DD", + "action": "[交互行为类型] 交互内容"（严格对应Timeline中交互条目，不允许省略）, + "logic": "逻辑说明" + } + ] + } +} + +强约束：最终答案必须是一个可被 json.loads 解析的 JSON，不能包含 Markdown、解释、重复键或 JSON 外额外字符。/no_think<|im_end|> +<|im_start|>assistant +{"logic_chain":{"name":"从被动接收悬疑信息到主动探索神秘主义工具的兴趣演化","events":[{"date":"2025-12-13","action":"[广告-点击] <|ad_begin|>","logic":"初始兴趣触发：用户被动点击悬疑、阴谋主题的广告，表现出对该类内容的初步兴趣。"},{"date":"2025-12-15","action":"[广告-深度转化] <|ad_begin|>","logic":"兴趣强化与窄化：从观看影视剧的被动接收，转向对“解密”、“身份验证”类互动游戏的深度转化，兴趣点从“悬疑故事”聚焦到“解密互动”。"},{"date":"2026-01-03","action":"[广告-深度转化] <|ad_begin|>","logic":"认知跃迁与行为转变：在持续接触悬疑解密信息后，用户兴趣发生质变，从对虚构故事的兴趣转向对现实中具有“探索未知”、“心理暗示”属性的神秘主义工具——塔罗牌产生深度兴趣，体现了从娱乐消费到寻求解释性工具的演化。"},{"date":"2026-02-03","action":"[商品-点击] <|prod_begin|>","logic":"行为闭环与实践意图：在对塔罗牌广告产生深度兴趣后，用户开始主动点击实体塔罗牌商品，关键词“初学入门”表明其意图从线上了解转向线下实践，完成了从被动了解到主动探索的完整闭环。"}]}}<|im_end|> +<|im_start|>user +【用户交互历史】： +【2025-06-13】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-06-14】 + --:-- [直播-关注] <|living_begin|> +【2025-07-02】 + --:-- [直播-关注] <|living_begin|> +【2025-07-15】 + --:-- [直播-关注] <|living_begin|> +【2025-08-13】 + --:-- [直播-关注] <|living_begin|> +【2025-11-16】 + --:-- [商品-购买] <|prod_begin|> +【2025-11-23】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-11-30】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-05】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-09】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-12-10】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-11】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-12】 + --:-- [商品-购买] <|prod_begin|> + 23:45 [广告-点击] <|ad_begin|> +【2025-12-16】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-18】 + 04:41 [广告-点击] <|ad_begin|> +【2025-12-19】 + --:-- [商品-购买] <|prod_begin|> +【2025-12-27】 + 03:24 [广告-点击] <|ad_begin|> + 14:32 [广告-点击] <|ad_begin|> +【2026-01-01】 + 01:13 [广告-点击] <|ad_begin|> + 04:24 [广告-点击] <|ad_begin|> +【2026-01-03】 + 01:14 [广告-深度转化] <|ad_begin|> + 01:14 [广告-点击] <|ad_begin|> + 01:34 [广告-点击] <|ad_begin|> +【2026-01-04】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-05】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-06】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-10】 + --:-- [商品-购买] <|prod_begin|> +【2026-01-11】 + 02:11 [广告-点击] <|ad_begin|> + 04:14 [广告-点击] <|ad_begin|> +【2026-01-12】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 15:00 [广告-点击] <|ad_begin|> +【2026-01-14】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2026-01-15】 + 16:13 [广告-点击] <|ad_begin|> +【2026-01-18】 + 06:40 [广告-深度转化] <|ad_begin|> + 06:40 [广告-点击] <|ad_begin|> +【2026-01-22】 + 05:05 [视频-收藏/长播] <|video_begin|> + 05:25 [视频-评论/长播] <|video_begin|> + 21:57 [视频-评论/长播] <|video_begin|> +【2026-01-23】 + 02:05 [视频-评论/长播] <|video_begin|> + 13:48 [视频-转发/点赞/长播] <|video_begin|> + 15:14 [视频-收藏/长播] <|video_begin|> +【2026-01-24】 + 02:24 [视频-转发/评论/长播] <|video_begin|> + 02:37 [视频-转发/收藏/长播] <|video_begin|> + 03:43 [视频-转发/评论/长播] <|video_begin|> + 06:21 [视频-评论/长播] <|video_begin|> + 07:13 [视频-收藏/长播] <|video_begin|> + 14:36 [视频-转发/评论/点赞/长播] <|video_begin|> + 16:30 [视频-转发/点赞/长播] <|video_begin|> + 16:41 [视频-转发/点赞/长播] <|video_begin|> + 16:48 [视频-收藏/长播] <|video_begin|> + 16:50 [视频-收藏/长播] <|video_begin|> + 17:02 [视频-评论/点赞/长播] <|video_begin|> +【2026-01-25】 + 02:51 [广告-点击] <|ad_begin|> + 07:59 [视频-评论/长播] <|video_begin|> + 15:12 [视频-评论/长播] <|video_begin|> + 16:22 [视频-收藏/长播] <|video_begin|> + 16:56 [视频-评论/点赞/长播] <|video_begin|> +【2026-01-26】 + 04:34 [视频-评论/长播] <|video_begin|> + 04:35 [视频-转发/评论/长播] <|video_begin|> + 05:52 [视频-收藏/长播] <|video_begin|> + 05:52 [视频-转发/点赞/长播] <|video_begin|> + 14:30 [视频-评论/收藏/长播] <|video_begin|> +【2026-01-27】 + 13:51 [视频-评论/长播] <|video_begin|> + 13:59 [视频-转发/收藏/点赞/长播] <|video_begin|> + 13:59 [视频-转发/收藏/点赞/长播] <|video_begin|> + 14:33 [视频-收藏/长播] <|video_begin|> + 14:57 [视频-点赞/长播] <|video_begin|> + 15:03 [视频-转发/收藏/长播] <|video_begin|> +【2026-01-28】 + 04:37 [视频-评论/点赞/长播] <|video_begin|> + 05:06 [视频-点赞/长播] <|video_begin|> + 05:06 [视频-点赞/长播] <|video_begin|> + 05:32 [视频-点赞/长播] <|video_begin|> + 08:23 [视频-评论/长播] <|video_begin|> + 09:21 [视频-点赞/长播] <|video_begin|> + 17:35 [视频-点赞/长播] <|video_begin|> + 17:59 [视频-收藏/长播] <|video_begin|> + 18:08 [视频-点赞/长播] <|video_begin|> +【2026-01-29】 + 02:50 [视频-点赞/长播] <|video_begin|> + 03:17 [视频-点赞/长播] <|video_begin|> + 03:27 [视频-点赞/长播] <|video_begin|> + 04:05 [视频-评论/长播] <|video_begin|> + 04:05 [视频-转发/收藏/长播] <|video_begin|> + 04:10 [视频-关注/评论/点赞/长播] <|video_begin|> + 04:26 [视频-转发/长播] <|video_begin|> + 04:43 [视频-转发/长播] <|video_begin|> + 04:43 [视频-转发/长播] <|video_begin|> + 06:03 [视频-转发/长播] <|video_begin|> + 06:53 [视频-点赞/长播] <|video_begin|> + 06:53 [视频-点赞/长播] <|video_begin|> + 07:08 [视频-转发/长播] <|video_begin|> + 07:13 [广告-点击] <|ad_begin|> + 07:19 [视频-转发/点赞/长播] <|video_begin|> + 10:34 [视频-转发/点赞/长播] <|video_begin|> + 10:37 [视频-评论/点赞/长播] <|video_begin|> + 10:59 [视频-点赞/长播] <|video_begin|> + 11:01 [视频-点赞/长播] <|video_begin|> + 12:57 [视频-点赞/长播] <|video_begin|> + 13:51 [视频-转发/长播] <|video_begin|> + 15:55 [视频-转发/长播] <|video_begin|> + 17:54 [视频-收藏/长播] <|video_begin|> + 17:55 [视频-点赞/长播] <|video_begin|> + 18:22 [视频-评论/长播] <|video_begin|> + 18:25 [视频-点赞/长播] <|video_begin|> + 18:25 [视频-点赞/长播] <|video_begin|> +【2026-01-30】 + 04:59 [视频-评论/长播] <|video_begin|> + 07:53 [视频-点赞/长播] <|video_begin|> + 07:53 [视频-转发/点赞/长播] <|video_begin|> + 12:08 [视频-评论/长播] <|video_begin|> + 12:20 [视频-评论/收藏/长播] <|video_begin|> + 12:23 [视频-转发/长播] <|video_begin|> + 12:35 [视频-转发/长播] <|video_begin|> + 14:21 [视频-转发/长播] <|video_begin|> + 14:25 [视频-收藏/点赞/长播] <|video_begin|> + 14:47 [视频-转发/长播] <|video_begin|> + 15:08 [视频-转发/长播] <|video_begin|> + 15:11 [视频-转发/点赞/长播] <|video_begin|> + 15:15 [视频-评论/长播] <|video_begin|> + 16:20 [视频-转发/长播] <|video_begin|> + 16:33 [视频-转发/收藏/长播] <|video_begin|> + 16:40 [视频-点赞/长播] <|video_begin|> + 17:11 [视频-转发/收藏/长播] <|video_begin|> + 17:21 [视频-点赞/长播] <|video_begin|> +【2026-01-31】 + 01:21 [视频-收藏/长播] <|video_begin|> + 01:21 [视频-点赞/长播] <|video_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 03:19 [视频-转发/长播] <|video_begin|> + 03:22 [广告-深度转化] <|ad_begin|> + 03:22 [广告-点击] <|ad_begin|> + 03:36 [视频-转发/长播] <|video_begin|> + 03:44 [视频-转发/长播] <|video_begin|> + 04:19 [视频-点赞/长播] <|video_begin|> + 05:27 [视频-评论/长播] <|video_begin|> + 06:03 [视频-点赞/长播] <|video_begin|> + 06:14 [视频-点赞/长播] <|video_begin|> + 06:16 [视频-转发/长播] <|video_begin|> + 06:30 [视频-收藏/长播] <|video_begin|> + 07:07 [视频-转发/长播] <|video_begin|> + 09:43 [视频-转发/长播] <|video_begin|> + 09:46 [视频-评论/长播] <|video_begin|> + 15:13 [视频-转发/点赞/长播] <|video_begin|> +【2026-02-01】 + 01:48 [视频-转发/长播] <|video_begin|> + 01:48 [视频-点赞/长播] <|video_begin|> + 01:54 [视频-点赞/长播] <|video_begin|> + 01:58 [视频-评论/点赞/长播] <|video_begin|> + 02:10 [视频-点赞/长播] <|video_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [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|> + 04:35 [视频-点赞/长播] <|video_begin|> + 05:02 [视频-点赞/长播] <|video_begin|> + 05:19 [视频-评论/点赞/长播] <|video_begin|> + 08:19 [视频-转发/长播] <|video_begin|> + 08:23 [视频-点赞/长播] <|video_begin|> + 08:39 [视频-转发/长播] <|video_begin|> + 11:59 [视频-转发/长播] <|video_begin|> + 12:02 [视频-收藏/长播] <|video_begin|> + 12:02 [视频-评论/点赞/长播] <|video_begin|> + 12:06 [视频-转发/长播] <|video_begin|> + 12:06 [视频-收藏/长播] <|video_begin|> + 12:25 [视频-转发/长播] <|video_begin|> +【2026-02-02】 + 03:07 [视频-收藏/长播] <|video_begin|> + 03:14 [视频-评论/长播] <|video_begin|> + 03:23 [视频-转发/长播] <|video_begin|> + 03:52 [视频-点赞/长播] <|video_begin|> + 04:10 [视频-收藏/长播] <|video_begin|> + 07:12 [视频-点赞/长播] <|video_begin|> + 07:16 [视频-点赞/长播] <|video_begin|> + 07:23 [视频-转发/长播] <|video_begin|> + 07:36 [视频-点赞/长播] <|video_begin|> + 09:20 [视频-点赞/长播] <|video_begin|> + 09:20 [视频-点赞/长播] <|video_begin|> + 14:40 [视频-转发/长播] <|video_begin|> + 14:43 [视频-收藏/长播] <|video_begin|> + 14:53 [视频-转发/长播] <|video_begin|> + 14:59 [广告-点击] <|ad_begin|> + 14:59 [视频-点赞/长播] <|video_begin|> + 15:01 [视频-转发/长播] <|video_begin|> + 15:55 [视频-点赞/长播] <|video_begin|> + 16:10 [视频-点赞/长播] <|video_begin|> + 17:45 [视频-转发/长播] <|video_begin|> + 18:00 [视频-转发/长播] <|video_begin|> +【2026-02-03】 + 08:23 [视频-点赞/长播] <|video_begin|> + 08:57 [视频-转发/长播] <|video_begin|> + 09:02 [视频-转发/长播] <|video_begin|> + 09:17 [视频-收藏/长播] <|video_begin|> + 09:40 [视频-转发/长播] <|video_begin|> + 10:12 [视频-转发/长播] <|video_begin|> + 10:15 [视频-评论/长播] <|video_begin|> + 10:34 [视频-评论/点赞/长播] <|video_begin|> + 10:39 [视频-评论/长播] <|video_begin|> + 10:52 [视频-转发/长播] <|video_begin|> + 11:00 [视频-点赞/长播] <|video_begin|> + 12:09 [视频-评论/点赞/长播] <|video_begin|> + 13:29 [视频-点赞/长播] <|video_begin|> + 14:00 [视频-转发/长播] <|video_begin|> + 15:33 [视频-转发/长播] <|video_begin|> + 15:57 [视频-转发/长播] <|video_begin|> + 17:39 [视频-转发/点赞/长播] <|video_begin|> + 17:41 [视频-转发/长播] <|video_begin|> + 17:51 [视频-转发/长播] <|video_begin|> + 17:51 [视频-转发/长播] <|video_begin|> + 19:00 [视频-评论/长播] <|video_begin|> + 19:27 [视频-点赞/长播] <|video_begin|> + 20:06 [视频-转发/收藏/长播] <|video_begin|> +【2026-02-04】 + 02:35 [视频-点赞/长播] <|video_begin|> + 02:36 [视频-评论/长播] <|video_begin|> + 02:36 [视频-点赞/长播] <|video_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + 03:41 [视频-评论/长播] <|video_begin|> + 03:41 [视频-点赞/长播] <|video_begin|> + 03:46 [视频-收藏/长播] <|video_begin|> + 04:28 [视频-点赞/长播] <|video_begin|> + 11:56 [视频-收藏/长播] <|video_begin|> + 12:38 [视频-转发/长播] <|video_begin|> + 12:56 [视频-收藏/长播] <|video_begin|> + 13:03 [视频-转发/点赞/长播] <|video_begin|> + 13:23 [视频-转发/长播] <|video_begin|> + 15:55 [视频-点赞/长播] <|video_begin|> + 16:02 [视频-点赞/长播] <|video_begin|> + 16:35 [视频-长播] <|video_begin|> + 16:35 [视频-长播] <|video_begin|> +【2026-02-05】 + 03:01 [视频-长播] <|video_begin|> + 03:01 [视频-长播] <|video_begin|> + 03:01 [视频-长播] <|video_begin|> + 03:02 [视频-长播] <|video_begin|> + 03:02 [视频-长播] <|video_begin|> + 03:02 [视频-长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + 03:13 [视频-长播] <|video_begin|> + 03:29 [广告-点击] <|ad_begin|> + 05:53 [视频-长播] <|video_begin|> + 05:54 [视频-长播] <|video_begin|> + 05:59 [视频-长播] <|video_begin|> + 05:59 [视频-长播] <|video_begin|> + 05:59 [视频-长播] <|video_begin|> + 05:59 [视频-收藏/长播] <|video_begin|> + 06:02 [视频-长播] <|video_begin|> + 06:02 [视频-长播] <|video_begin|> + 06:10 [视频-长播] <|video_begin|> + 06:10 [视频-长播] <|video_begin|> + 06:10 [视频-长播] <|video_begin|> + 06:10 [视频-长播] <|video_begin|> + 06:12 [视频-长播] <|video_begin|> + 06:12 [视频-长播] <|video_begin|> + 06:54 [视频-长播] <|video_begin|> + 06:54 [视频-长播] <|video_begin|> + 07:10 [视频-长播] <|video_begin|> + 08:52 [视频-长播] <|video_begin|> + 09:02 [视频-长播] <|video_begin|> + 09:02 [视频-长播] <|video_begin|> + 09:05 [视频-长播] <|video_begin|> + 09:05 [视频-转发/长播] <|video_begin|> + 09:09 [视频-长播] <|video_begin|> + 09:09 [视频-长播] <|video_begin|> + 09:09 [视频-转发/长播] <|video_begin|> + 09:09 [视频-转发/长播] <|video_begin|> + 09:09 [视频-转发/长播] <|video_begin|> + 10:56 [视频-长播] <|video_begin|> + 10:56 [视频-长播] <|video_begin|> + 12:58 [视频-长播] <|video_begin|> + 14:08 [视频-长播] <|video_begin|> + 14:08 [视频-长播] <|video_begin|> + 14:08 [视频-长播] <|video_begin|> + 14:12 [视频-长播] <|video_begin|> + 14:12 [视频-转发/长播] <|video_begin|> + 14:17 [视频-长播] <|video_begin|> + 14:17 [视频-长播] <|video_begin|> + 14:19 [视频-长播] <|video_begin|> + 14:19 [视频-长播] <|video_begin|> + 14:22 [视频-长播] <|video_begin|> + 14:25 [视频-长播] <|video_begin|> + 14:25 [视频-转发/点赞/长播] <|video_begin|> + 14:45 [视频-长播] <|video_begin|> + 14:45 [视频-转发/点赞/长播] <|video_begin|> + 14:52 [视频-长播] <|video_begin|> + 14:52 [视频-长播] <|video_begin|> + 14:52 [视频-长播] <|video_begin|> + 14:52 [视频-长播] <|video_begin|> + 14:52 [视频-长播] <|video_begin|> + 14:52 [视频-收藏/长播] <|video_begin|> +【2026-02-06】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + +角色任务：你是一位极端严苛的用户行为数据挖掘专家兼数据格式化专家，请依托以上用户交互历史，针对指定主题，严格提取出所有相关的历史交互条目。 + +主题：从被动接收健康信息到主动探索特定美体方案的演化 + +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|>","<|ad_begin|>","<|ad_begin|>","<|ad_begin|>","<|ad_begin|>","<|ad_begin|>","<|ad_begin|>","<|video_begin|>","<|ad_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>"]<|im_end|> +<|im_start|>user +【用户交互历史】： +【2023-10-22】 + --:-- [商品-购买] <|prod_begin|> +【2023-10-28】 + --:-- [商品-购买] <|prod_begin|> +【2023-11-02】 + --:-- [商品-购买] <|prod_begin|> +【2024-06-08】 + --:-- [商品-购买] <|prod_begin|> +【2024-10-04】 + --:-- [商品-购买] <|prod_begin|> +【2025-01-16】 + --:-- [直播-关注] <|living_begin|> +【2025-01-18】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-01-20】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-02-01】 + --:-- [商品-购买] <|prod_begin|> +【2025-02-05】 + --:-- [直播-关注] <|living_begin|> +【2025-02-13】 + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-03-02】 + --:-- [直播-关注] <|living_begin|> +【2025-04-04】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-04-06】 + --:-- [商品-购买] <|prod_begin|> +【2025-04-20】 + --:-- [商品-购买] <|prod_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-05-11】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-05-15】 + --:-- [直播-关注] <|living_begin|> +【2025-05-25】 + --:-- [直播-关注/首次打赏] <|living_begin|> +【2025-06-02】 + --:-- [直播-关注] <|living_begin|> +【2025-06-15】 + --:-- [直播-关注] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-19】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-06-22】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-06-29】 + --:-- [直播-打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-07-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> +【2025-07-04】 + --:-- [直播-打赏] <|living_begin|> +【2025-07-05】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-07-06】 + --:-- [直播-关注] <|living_begin|> +【2025-07-10】 + --:-- [直播-打赏] <|living_begin|> +【2025-07-11】 + --:-- [直播-打赏] <|living_begin|> +【2025-07-18】 + --:-- [直播-关注] <|living_begin|> +【2025-07-20】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> +【2025-07-22】 + --:-- [直播-关注] <|living_begin|> +【2025-07-23】 + --:-- [直播-关注] <|living_begin|> +【2025-07-24】 + --:-- [直播-关注] <|living_begin|> +【2025-07-28】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-07-29】 + --:-- [直播-关注] <|living_begin|> +【2025-07-31】 + --:-- [直播-关注] <|living_begin|> +【2025-08-14】 + --:-- [商品-购买] <|prod_begin|> +【2025-08-17】 + --:-- [直播-关注] <|living_begin|> +【2025-08-22】 + --:-- [直播-关注] <|living_begin|> +【2025-08-23】 + --:-- [直播-关注] <|living_begin|> +【2025-08-29】 + --:-- [直播-关注] <|living_begin|> +【2025-09-07】 + --:-- [直播-关注] <|living_begin|> +【2025-09-10】 + --:-- [直播-首次打赏] <|living_begin|> +【2025-09-18】 + --:-- [直播-关注] <|living_begin|> +【2025-09-21】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-02】 + --:-- [商品-购买] <|prod_begin|> +【2025-10-03】 + --:-- [直播-关注] <|living_begin|> +【2025-10-14】 + --:-- [直播-关注/首次打赏] <|living_begin|> + --:-- [直播-首次打赏] <|living_begin|> + --:-- [商品-购买] <|prod_begin|> +【2025-10-22】 + --:-- [直播-关注] <|living_begin|> +【2025-10-26】 + --:-- [商品-点击] <|prod_begin|> +【2025-10-27】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-11-02】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-03】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-04】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-06】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-09】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-10】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-11】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-15】 + --:-- [直播-关注] <|living_begin|> +【2025-11-23】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-28】 + --:-- [商品-点击] <|prod_begin|> +【2025-11-30】 + --:-- [商品-点击] <|prod_begin|> +【2025-12-10】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-11】 + 11:37 [广告-点击] <|ad_begin|> + 23:08 [广告-点击] <|ad_begin|> +【2025-12-13】 + 01:21 [广告-点击] <|ad_begin|> +【2025-12-14】 + 00:20 [广告-点击] <|ad_begin|> + 10:41 [广告-点击] <|ad_begin|> + 10:42 [广告-深度转化] <|ad_begin|> + 10:42 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-16】 + 01:08 [广告-点击] <|ad_begin|> + 13:06 [广告-点击] <|ad_begin|> +【2025-12-18】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-19】 + 10:38 [广告-点击] <|ad_begin|> + 17:10 [广告-点击] <|ad_begin|> + 23:51 [广告-点击] <|ad_begin|> +【2025-12-20】 + 02:46 [广告-点击] <|ad_begin|> + 11:38 [广告-点击] <|ad_begin|> +【2025-12-21】 + 00:59 [广告-深度转化] <|ad_begin|> + 00:59 [广告-点击] <|ad_begin|> + 09:01 [广告-点击] <|ad_begin|> +【2025-12-22】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-23】 + 11:24 [广告-点击] <|ad_begin|> + 12:39 [广告-点击] <|ad_begin|> + 12:44 [广告-点击] <|ad_begin|> + 12:45 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-24】 + 03:23 [广告-点击] <|ad_begin|> + 13:09 [广告-点击] <|ad_begin|> +【2025-12-25】 + 13:29 [广告-深度转化] <|ad_begin|> + 13:29 [广告-点击] <|ad_begin|> +【2025-12-27】 + --:-- [直播-关注/首次打赏] <|living_begin|> + 07:53 [广告-点击] <|ad_begin|> +【2025-12-28】 + --:-- [直播-关注/首次打赏] <|living_begin|> + 08:26 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2025-12-30】 + 23:23 [广告-点击] <|ad_begin|> +【2025-12-31】 + 20:44 [广告-点击] <|ad_begin|> +【2026-01-01】 + --:-- [直播-关注] <|living_begin|> + --:-- [直播-关注] <|living_begin|> + 07:10 [广告-点击] <|ad_begin|> +【2026-01-02】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-03】 + 01:04 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-05】 + 14:59 [广告-点击] <|ad_begin|> + 14:59 [广告-点击] <|ad_begin|> + 14:59 [广告-点击] <|ad_begin|> + 14:59 [广告-点击] <|ad_begin|> + 14:59 [广告-点击] <|ad_begin|> + 14:59 [广告-点击] <|ad_begin|> + 15:00 [广告-点击] <|ad_begin|> + 15:00 [广告-点击] <|ad_begin|> + 17:11 [广告-点击] <|ad_begin|> +【2026-01-06】 + 02:27 [广告-点击] <|ad_begin|> + 11:22 [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|> + 19:09 [广告-点击] <|ad_begin|> +【2026-01-07】 + 11:17 [广告-点击] <|ad_begin|> +【2026-01-09】 + 08:01 [广告-点击] <|ad_begin|> + 08:02 [广告-点击] <|ad_begin|> +【2026-01-10】 + 03:31 [广告-点击] <|ad_begin|> + 10:26 [广告-点击] <|ad_begin|> + 11:01 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-11】 + 04:51 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-12】 + --:-- [直播-关注] <|living_begin|> +【2026-01-13】 + --:-- [直播-关注] <|living_begin|> +【2026-01-15】 + --:-- [直播-打赏] <|living_begin|> + 23:08 [广告-点击] <|ad_begin|> +【2026-01-17】 + --:-- [直播-关注] <|living_begin|> + 05:31 [广告-点击] <|ad_begin|> +【2026-01-18】 + 03:03 [广告-点击] <|ad_begin|> + 04:14 [广告-深度转化] <|ad_begin|> + 04:14 [广告-点击] <|ad_begin|> + 13:19 [广告-点击] <|ad_begin|> + 13:21 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-19】 + --:-- [商品-点击] <|prod_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-20】 + --:-- [直播-关注] <|living_begin|> +【2026-01-21】 + 02:14 [广告-点击] <|ad_begin|> + 02:14 [广告-点击] <|ad_begin|> + 04:17 [广告-点击] <|ad_begin|> + 04:40 [广告-深度转化] <|ad_begin|> + 04:40 [广告-点击] <|ad_begin|> + 11:26 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-22】 + 09:53 [广告-点击] <|ad_begin|> + 15:20 [视频-评论/长播] <|video_begin|> + 23:10 [视频-转发/长播] <|video_begin|> +【2026-01-23】 + 07:04 [视频-评论/长播] <|video_begin|> + 08:16 [视频-转发/长播] <|video_begin|> + 11:12 [视频-转发/长播] <|video_begin|> + 13:42 [视频-收藏/长播] <|video_begin|> + 15:59 [视频-评论/长播] <|video_begin|> +【2026-01-24】 + --:-- [直播-首次打赏] <|living_begin|> + 11:54 [视频-评论/长播] <|video_begin|> + 12:00 [视频-评论/长播] <|video_begin|> +【2026-01-25】 + 08:17 [视频-评论/长播] <|video_begin|> + 08:25 [广告-点击] <|ad_begin|> + 08:26 [广告-点击] <|ad_begin|> + 08:33 [视频-收藏/长播] <|video_begin|> + 08:48 [广告-点击] <|ad_begin|> + 08:50 [广告-点击] <|ad_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-26】 + 08:31 [视频-关注/长播] <|video_begin|> + --:-- [商品-点击] <|prod_begin|> +【2026-01-27】 + 04:45 [视频-收藏/长播] <|video_begin|> + 06:07 [视频-评论/长播] <|video_begin|> + 06:14 [视频-收藏/长播] <|video_begin|> + 07:00 [广告-点击] <|ad_begin|> + 16:42 [视频-评论/长播] <|video_begin|> +【2026-01-28】 + 16:32 [视频-点赞/长播] <|video_begin|> + 16:50 [视频-点赞/长播] <|video_begin|> + 17:11 [视频-转发/长播] <|video_begin|> + 18:27 [视频-评论/长播] <|video_begin|> +【2026-01-29】 + 06:20 [视频-评论/长播] <|video_begin|> + 07:25 [广告-点击] <|ad_begin|> + 07:53 [视频-点赞/长播] <|video_begin|> + 07:53 [视频-点赞/长播] <|video_begin|> + 08:03 [视频-评论/长播] <|video_begin|> + 16:11 [广告-点击] <|ad_begin|> + 16:24 [视频-评论/长播] <|video_begin|> + 16:37 [广告-点击] <|ad_begin|> +【2026-01-30】 + 06:46 [视频-评论/长播] <|video_begin|> + 07:01 [广告-点击] <|ad_begin|> + 07:07 [视频-评论/长播] <|video_begin|> + 07:58 [视频-评论/长播] <|video_begin|> + 07:58 [视频-评论/点赞/长播] <|video_begin|> + 11:45 [视频-评论/长播] <|video_begin|> + 15:16 [视频-点赞/长播] <|video_begin|> +【2026-01-31】 + 04:01 [视频-收藏/长播] <|video_begin|> +【2026-02-01】 + --:-- [直播-关注] <|living_begin|> + 14:49 [广告-点击] <|ad_begin|> +【2026-02-02】 + 06:35 [视频-长播] <|video_begin|> + 06:47 [视频-长播] <|video_begin|> + 06:49 [视频-长播] <|video_begin|> + 06:49 [视频-长播] <|video_begin|> + 07:06 [视频-长播] <|video_begin|> + 07:06 [视频-长播] <|video_begin|> + 07:06 [视频-评论/长播] <|video_begin|> + 07:13 [视频-长播] <|video_begin|> + 07:14 [视频-长播] <|video_begin|> + 07:14 [视频-长播] <|video_begin|> + 07:14 [视频-长播] <|video_begin|> + 07:20 [视频-长播] <|video_begin|> + 07:29 [视频-长播] <|video_begin|> + 07:35 [视频-长播] <|video_begin|> + 07:53 [视频-长播] <|video_begin|> + 07:53 [视频-长播] <|video_begin|> + 14:04 [视频-点赞/长播] <|video_begin|> + 14:51 [视频-长播] <|video_begin|> + 14:51 [视频-长播] <|video_begin|> + 14:51 [视频-长播] <|video_begin|> + 15:16 [视频-长播] <|video_begin|> + 16:59 [视频-长播] <|video_begin|> + 16:59 [视频-长播] <|video_begin|> + 17:04 [视频-长播] <|video_begin|> + 17:05 [视频-长播] <|video_begin|> +【2026-02-03】 + 09:08 [视频-长播] <|video_begin|> + 09:10 [视频-评论/长播] <|video_begin|> + 10:12 [视频-收藏/长播] <|video_begin|> + 10:19 [视频-长播] <|video_begin|> + 10:19 [视频-长播] <|video_begin|> + 10:19 [视频-长播] <|video_begin|> + 10:27 [视频-长播] <|video_begin|> + 10:30 [视频-长播] <|video_begin|> + 10:46 [视频-转发/长播] <|video_begin|> + 17:45 [视频-长播] <|video_begin|> + 17:45 [视频-评论/长播] <|video_begin|> + 17:51 [视频-评论/长播] <|video_begin|> + 17:56 [视频-评论/长播] <|video_begin|> + 18:01 [视频-长播] <|video_begin|> + 18:08 [视频-长播] <|video_begin|> + 18:19 [视频-长播] <|video_begin|> + 18:19 [视频-评论/长播] <|video_begin|> + 18:22 [视频-长播] <|video_begin|> + 18:26 [视频-长播] <|video_begin|> + 18:26 [视频-长播] <|video_begin|> +【2026-02-04】 + 17:28 [视频-长播] <|video_begin|> + 17:28 [视频-长播] <|video_begin|> + 17:28 [视频-长播] <|video_begin|> + 17:30 [视频-长播] <|video_begin|> + 17:44 [视频-长播] <|video_begin|> + 17:49 [视频-长播] <|video_begin|> + 17:49 [视频-评论/长播] <|video_begin|> + 17:53 [视频-长播] <|video_begin|> + 18:30 [广告-点击] <|ad_begin|> +【2026-02-05】 + 05:21 [视频-长播] <|video_begin|> + 05:21 [视频-评论/长播] <|video_begin|> + 05:21 [视频-评论/长播] <|video_begin|> + 05:29 [视频-长播] <|video_begin|> + 05:35 [视频-长播] <|video_begin|> + 12:27 [视频-长播] <|video_begin|> + 12:27 [视频-长播] <|video_begin|> + 12:27 [视频-长播] <|video_begin|> + 12:27 [视频-长播] <|video_begin|> + 12:27 [视频-评论/长播] <|video_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）： 视频-浏览、视频-长播、搜索-搜索、商品-点击、商品-购买、直播-关注、直播-首次打赏、广告-点击、广告-深度转化 +核心逻辑要求（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 必须同属一个生活场景及主题类目，并呈现极强的需求补完性。 +2.兴趣因果递进：交互 B 必须由交互 A 引发的副作用或新需求而产生，或者 A 本身就是 B 的诱因。 +3.需求深度细化：在同一主题类目中，交互 B 相比交互 A 应体现出更具体、更详细的需求层次，但不得包含多次重复的购买、点击、搜索等行为，以避免重复节点内容。 +请针对下列主题提取行为逻辑链： +主题：从泛化游戏兴趣到特定玩法（三角洲行动）的深度探索与技能学习 + +输出格式：请以 JSON 对象形式返回，结构如下： +{ + "logic_chain": { + "name": "从泛化游戏兴趣到特定玩法（三角洲行动）的深度探索与技能学习", + "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":"从泛化游戏兴趣到特定玩法（三角洲行动）的深度探索与技能学习","events":[{"date":"2025-12-21","action":"[广告-点击] <|ad_begin|>","logic":"兴趣萌芽：用户处于游戏兴趣的广泛探索期，被动点击各类游戏广告，对角色、升级等玩法有泛化兴趣。"},{"date":"2026-01-22","action":"[视频-转发/长播] <|video_begin|>","logic":"兴趣聚焦：首次出现对特定游戏《三角洲行动》的主动深度互动（转发），关注点从泛化的游戏概念转向具体的“装备策略”和“操作技巧”。"},{"date":"2026-01-28","action":"[视频-点赞/长播] <|video_begin|>","logic":"认知深化：兴趣点进一步收敛到游戏内的具体装备（M14步枪）和核心玩法（个性化改装），开始主动学习如何通过“配件调整”来“提升精度稳定性”，体现了从玩家到研究者的认知跃迁。"},{"date":"2026-01-30","action":"[视频-评论/长播] <|video_begin|>","logic":"技能精通与闭环：用户已不满足于通用攻略，开始研究更具体的“成本控制”、“配件平衡”等高阶改装策略，并进行评论互动，标志着其在该游戏领域的知识体系已趋于完善和闭环。"}]}}<|im_end|> +<|im_start|>user +你是推荐理解助手。你需要根据用户多域历史行为，输出该用户在各推荐场景中的目标内容。 +下面给出用户历史行为线索： +用户购物行为: 浏览了商品 <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>，购买了 <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>, <|prod_begin|>。 +广告行为: 对广告 <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|> 完成过深度转化，点击过广告 <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>, <|ad_begin|>。 + +请基于这些线索总结该用户在各场景中的目标内容。/no_think<|im_end|> +<|im_start|>assistant +该用户最近感兴趣的广告有: <|ad_begin|><|im_end|> +<|endoftext|> +label_ids: +[-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 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"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":"从泛化个人形象提升到具体化社交工具探索","events":[{"date":"2025-06-14","action":"[商品-购买] <|prod_begin|>","logic":"初始触发：开始关注带有“香氛”属性的个人护理产品，初步探索通过气味提升个人形象。"},{"date":"2025-09-01","action":"[商品-购买] <|prod_begin|>","logic":"需求强化：复购同类产品，但商品描述从“深层清洁”升级为“洗出伪体香”、“激发魅力”，表明用户对气味社交功能的认知加深，并追求更强的效果。"},{"date":"2025-09-04","action":"[商品-购买] <|prod_begin|>","logic":"认知跃迁与行为升级：意识到沐浴露的留香效果有限，首次转向更专业、持久的香氛产品——香水。从被动、短暂的“洗护留香”升级为主动、专业的“穿戴香气”，完成了从基础个护到专业社交工具的认知跃迁。"}]}}<|im_end|> +{"logic_chain":{"name":"从被动接收悬疑信息到主动探索神秘主义工具的兴趣演化","events":[{"date":"2025-12-13","action":"[广告-点击] <|ad_begin|>","logic":"初始兴趣触发：用户被动点击悬疑、阴谋主题的广告，表现出对该类内容的初步兴趣。"},{"date":"2025-12-15","action":"[广告-深度转化] <|ad_begin|>","logic":"兴趣强化与窄化：从观看影视剧的被动接收，转向对“解密”、“身份验证”类互动游戏的深度转化，兴趣点从“悬疑故事”聚焦到“解密互动”。"},{"date":"2026-01-03","action":"[广告-深度转化] <|ad_begin|>","logic":"认知跃迁与行为转变：在持续接触悬疑解密信息后，用户兴趣发生质变，从对虚构故事的兴趣转向对现实中具有“探索未知”、“心理暗示”属性的神秘主义工具——塔罗牌产生深度兴趣，体现了从娱乐消费到寻求解释性工具的演化。"},{"date":"2026-02-03","action":"[商品-点击] <|prod_begin|>","logic":"行为闭环与实践意图：在对塔罗牌广告产生深度兴趣后，用户开始主动点击实体塔罗牌商品，关键词“初学入门”表明其意图从线上了解转向线下实践，完成了从被动了解到主动探索的完整闭环。"}]}}<|im_end|> +["<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|ad_begin|>","<|ad_begin|>","<|ad_begin|>","<|ad_begin|>","<|ad_begin|>","<|ad_begin|>","<|video_begin|>","<|ad_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|video_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>","<|prod_begin|>"]<|im_end|> +{"logic_chain":{"name":"从泛化游戏兴趣到特定玩法（三角洲行动）的深度探索与技能学习","events":[{"date":"2025-12-21","action":"[广告-点击] <|ad_begin|>","logic":"兴趣萌芽：用户处于游戏兴趣的广泛探索期，被动点击各类游戏广告，对角色、升级等玩法有泛化兴趣。"},{"date":"2026-01-22","action":"[视频-转发/长播] <|video_begin|>","logic":"兴趣聚焦：首次出现对特定游戏《三角洲行动》的主动深度互动（转发），关注点从泛化的游戏概念转向具体的“装备策略”和“操作技巧”。"},{"date":"2026-01-28","action":"[视频-点赞/长播] <|video_begin|>","logic":"认知深化：兴趣点进一步收敛到游戏内的具体装备（M14步枪）和核心玩法（个性化改装），开始主动学习如何通过“配件调整”来“提升精度稳定性”，体现了从玩家到研究者的认知跃迁。"},{"date":"2026-01-30","action":"[视频-评论/长播] <|video_begin|>","logic":"技能精通与闭环：用户已不满足于通用攻略，开始研究更具体的“成本控制”、“配件平衡”等高阶改装策略，并进行评论互动，标志着其在该游戏领域的知识体系已趋于完善和闭环。"}]}}<|im_end|> +该用户最近感兴趣的广告有: <|ad_begin|><|im_end|> + +[INFO|2026-07-13 03:28:39] llamafactory.model.model_utils.kv_cache:144 >> KV cache is disabled during training. +[INFO|2026-07-13 03:28:39] llamafactory.model.model_utils.liger_kernel:144 >> Liger kernel has been applied to the model. +[INFO|modeling_utils.py:748] 2026-07-13 03:28:40,046 >> loading weights file /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018/model.safetensors +[INFO|modeling_utils.py:821] 2026-07-13 03:28:40,046 >> Will use dtype=torch.bfloat16 as defined in model's config object +[INFO|configuration_utils.py:1027] 2026-07-13 03:28:40,096 >> 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] 2026-07-13 03:28:40,656 >> 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] 2026-07-13 03:28:40,656 >> Could not locate the custom_generate/generate.py inside /home/ll/llm4rec/experiments/outputs/v29_v19_user_world_guard_lr8e7_ep018. +[INFO|2026-07-13 03:28:40] llamafactory.model.model_utils.checkpointing:144 >> Gradient checkpointing enabled. +[INFO|2026-07-13 03:28:40] llamafactory.model.model_utils.attention:144 >> Using FlashAttention-2 for faster training and inference. +[INFO|2026-07-13 03:28:40] llamafactory.model.adapter:144 >> Pure bf16 / BAdam detected, remaining trainable params in half precision. +[INFO|2026-07-13 03:28:40] llamafactory.model.adapter:144 >> Fine-tuning method: Full +[INFO|2026-07-13 03:28:40] llamafactory.model.loader:144 >> trainable params: 801,433,600 || all params: 801,433,600 || trainable%: 100.0000 +[INFO|trainer.py:1469] 2026-07-13 03:28:40,799 >> ***** Running training ***** +[INFO|trainer.py:1470] 2026-07-13 03:28:40,799 >> Num examples = 793 +[INFO|trainer.py:1471] 2026-07-13 03:28:40,799 >> Num Epochs = 1 +[INFO|trainer.py:1472] 2026-07-13 03:28:40,799 >> Num update steps per epoch = 199 +[INFO|trainer.py:1473] 2026-07-13 03:28:40,799 >> Instantaneous batch size per device = 1 +[INFO|trainer.py:1476] 2026-07-13 03:28:40,799 >> Total train batch size (w. parallel, distributed & accumulation) = 4 +[INFO|trainer.py:1477] 2026-07-13 03:28:40,799 >> Gradient Accumulation steps = 4 +[INFO|trainer.py:1478] 2026-07-13 03:28:40,799 >> Total optimization steps = 40 +[INFO|trainer.py:1479] 2026-07-13 03:28:40,799 >> Number of trainable parameters = 801,433,600 + 0%| | 0/40 [00:00> `use_return_dict` is deprecated! Use `return_dict` instead! + 2%|▎ | 1/40 [00:07<05:00, 7.72s/it] 5%|▌ | 2/40 [00:15<04:49, 7.61s/it] 8%|▊ | 3/40 [00:23<04:47, 7.76s/it] 10%|█ | 4/40 [00:31<04:42, 7.84s/it] 12%|█▎ | 5/40 [00:39<04:41, 8.03s/it] 12%|█▎ | 5/40 [00:39<04:41, 8.03s/it] 15%|█▌ | 6/40 [00:46<04:22, 7.71s/it] 18%|█▊ | 7/40 [00:54<04:13, 7.68s/it] 20%|██ | 8/40 [01:02<04:07, 7.74s/it] 22%|██▎ | 9/40 [01:10<04:08, 8.01s/it] 25%|██▌ | 10/40 [01:19<04:03, 8.12s/it] 25%|██▌ | 10/40 [01:19<04:03, 8.12s/it] 28%|██▊ | 11/40 [01:26<03:48, 7.89s/it] 30%|███ | 12/40 [01:34<03:44, 8.02s/it] 32%|███▎ | 13/40 [01:43<03:42, 8.24s/it] 35%|███▌ | 14/40 [01:51<03:35, 8.30s/it] 38%|███▊ | 15/40 [02:00<03:27, 8.32s/it] 38%|███▊ | 15/40 [02:00<03:27, 8.32s/it] 40%|████ | 16/40 [02:07<03:13, 8.05s/it] 42%|████▎ | 17/40 [02:16<03:09, 8.26s/it] 45%|████▌ | 18/40 [02:25<03:03, 8.36s/it] 48%|████▊ | 19/40 [02:32<02:52, 8.21s/it] 50%|█████ | 20/40 [02:40<02:40, 8.05s/it] 50%|█████ | 20/40 [02:40<02:40, 8.05s/it] 52%|█████▎ | 21/40 [02:48<02:33, 8.07s/it] 55%|█████▌ | 22/40 [02:56<02:25, 8.07s/it] 57%|█████▊ | 23/40 [03:05<02:18, 8.17s/it] 60%|██████ | 24/40 [03:13<02:09, 8.08s/it] 62%|██████▎ | 25/40 [03:21<02:01, 8.11s/it] 62%|██████▎ | 25/40 [03:21<02:01, 8.11s/it] 65%|██████▌ | 26/40 [03:28<01:51, 7.95s/it] 68%|██████▊ | 27/40 [03:36<01:42, 7.88s/it] 70%|███████ | 28/40 [03:44<01:33, 7.80s/it] 72%|███████▎ | 29/40 [03:52<01:26, 7.86s/it] 75%|███████▌ | 30/40 [04:00<01:21, 8.12s/it] 75%|███████▌ | 30/40 [04:00<01:21, 8.12s/it] 78%|███████▊ | 31/40 [04:08<01:12, 8.06s/it] 80%|████████ | 32/40 [04:16<01:04, 8.09s/it] 82%|████████▎ | 33/40 [04:25<00:57, 8.28s/it] 85%|████████▌ | 34/40 [04:34<00:50, 8.41s/it] 88%|████████▊ | 35/40 [04:42<00:41, 8.24s/it] 88%|████████▊ | 35/40 [04:42<00:41, 8.24s/it] 90%|█████████ | 36/40 [04:50<00:33, 8.32s/it] 92%|█████████▎| 37/40 [04:58<00:24, 8.08s/it] 95%|█████████▌| 38/40 [05:06<00:16, 8.22s/it] 98%|█████████▊| 39/40 [05:15<00:08, 8.35s/it] 100%|██████████| 40/40 [05:23<00:00, 8.17s/it] 100%|██████████| 40/40 [05:23<00:00, 8.17s/it][INFO|trainer.py:1823] 2026-07-13 03:34:04,046 >> + +Training completed. Do not forget to share your model on huggingface.co/models =) + + + 100%|██████████| 40/40 [05:23<00:00, 8.17s/it] 100%|██████████| 40/40 [05:23<00:00, 8.08s/it] +[INFO|trainer.py:3815] 2026-07-13 03:34:04,047 >> Saving model checkpoint to /home/ll/llm4rec/experiments/outputs/v32_v29_balanced_r3_draft_lr8e7_ep020 +[INFO|configuration_utils.py:533] 2026-07-13 03:34:04,048 >> Configuration saved in /home/ll/llm4rec/experiments/outputs/v32_v29_balanced_r3_draft_lr8e7_ep020/config.json +[INFO|configuration_utils.py:816] 2026-07-13 03:34:04,049 >> Configuration saved in /home/ll/llm4rec/experiments/outputs/v32_v29_balanced_r3_draft_lr8e7_ep020/generation_config.json +{'loss': '1.77', 'grad_norm': '13.81', 'learning_rate': '7.884e-07', 'epoch': '0.02522'} +{'loss': '1.746', 'grad_norm': '14.06', 'learning_rate': '7.198e-07', 'epoch': '0.05044'} +{'loss': '1.591', 'grad_norm': '13.88', 'learning_rate': '6e-07', 'epoch': '0.07566'} +{'loss': '1.718', 'grad_norm': '15.56', 'learning_rate': 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