Files
reader/configs/term_stopwords.json
T
root 590d050218 keyword cleanup: v2 engine, alias rule layer, LLM semantic suggestions
- build_review_bundle.py: 新增 _compute_percentile/_compute_growth,
  候选池从固定阈值改为百分位排名 + 增速因子 (v2 policy)
- term_cleanup_policy.json: 升级 v2 schema
- generate_term_cleanup_suggestions.py: 新增 _prepare_alias_suggestions,
  规则层输出 alias (大小写/单复数/分词变体)
- generate_term_cleanup_semantic_suggestions.py: 新增 LLM 语义建议脚本
  (DeepSeek API, 产出 semantic alias/stopword/promote)
- SKILL.md: 更新为 5 Phase 工作流程
- 首轮清洗 apply: interest 54, aliases 17组, stopwords 17个
- docs/design/keyword-cleanup-flow-overview.md: 流程文档
- plans/: 引擎设计方案
2026-05-14 17:17:49 +08:00

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JSON

[
"AGI",
"AIHOT",
"AI日报",
"All In Code",
"auto-twitter-campaign",
"ChangeSet",
"Channels",
"Lumina",
"Memory",
"OpenViking",
"Prompt",
"Seedance 2.0",
"奋斗文化",
"小银",
"质量门禁",
"银行客户经理",
"飞盘物理"
]