Gavince/Recommend-System
深度学习与推荐系统学习，理论结合代码更香。
Implements a complete multi-stage recommendation pipeline covering recall (Word2vec, DeepWalk, Node2vec, EGES, YouTube-DNN), coarse ranking (dual-tower DNN), and fine ranking phases with both single-objective models (FM, Wide&Deep, DeepFM, DIN, DIEN) and multi-objective learning architectures (MMoE, ESMM, PLE). Each algorithm includes theoretical papers and accompanying code implementations, enabling practitioners to understand embedding-based retrieval, feature interaction modeling, and multi-task learning for handling diverse user signals (clicks, dwell time, conversions, purchases).
162 stars. No commits in the last 6 months.
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Last pushed
Jul 30, 2022
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