2 Commits

Include renames

Author	SHA1	Message	Date
mrleo1nidandClaude Opus 5.5	3afed02f23	feat(recommender): nightly ALS with offline metrics and CF candidates in the wave (M6) ... - Implicit scores from play events and reactions per the signals table (90-day half-life, weaker skips outside the wave, dislikes override). - numpy ALS for implicit feedback; time-split evaluation on the last 7 days (NDCG@10, Recall@50) against a popularity baseline; a new model is activated only if NDCG@10 does not regress by more than 2%. - Vectors are written to track_embeddings.cf and user_profiles_rec.taste_cf, versions to model_versions; NightlyTrainer runs at TRAIN_HOUR and on first start, `pipu-rec train` runs it manually. - Wave: cf and item_cf candidate sources and a 0.10 cf term in the v1 score; impressions are tagged heuristic-v1+cf. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-20 17:54:25 +03:00
mrleo1nidandClaude Opus 5.5	9eb1c25147	docs: add product idea, design prototypes and development documentation ... - IDEA.md: product vision from the user's perspective (input for design) - Architecture, ADRs, data model, REST API overview - Auth and roles, library storage (NFS, path regexes, scanner, search), playback, recommendation system ("My Wave"), track upload queue - Web, Android (offline, self-update), i18n, design system - Testing strategy, Gitea Actions CI/CD, deployment, conventions, roadmap - Clickable web/Android design prototypes and wave button variants - .claude/launch.json to serve the prototypes locally Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>	2026-10-19 23:21:31 +03:00