feat: learned recommendation engine (For You / Cleanup)#2228
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Single-user, content-based recommender that scores the library into two system playlists - "For You" (watch) and "Cleanup" (delete candidates) - surfaced through the existing scene lists / HereSphere. - Learns a taste profile from ratings, favourites and watch history; optional logistic-regression and factorization-machine rankers. - Signals: actors, tags, sites, resolution, freshness, file size and a no-reference visual-quality score; optional MobileNetV2 visual embeddings (CPU, ONNX Runtime, opt-in, default off). - Cleanup protects favourites, watchlisted, recently-rated and recently -added scenes; For You can exclude recently-watched scenes. - Daily deterministic noise so both lists refresh day to day. - Options -> Recommendations, plus a recompute schedule.
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Adds a single-user, content-based recommendation engine that scores the library into two system playlists — For You (watch) and Cleanup (delete candidates) — surfaced through the existing scene lists / HereSphere.
The only new dependency is
onnxruntime_go(for the opt-in embeddings; it dlopens at runtime, so it builds without the native lib). Seepkg/recommend/DESIGN.mdfor the scoring model.