Summary of Effective Recommendation Algorithms
簡介 本文以問題爲導向介紹推薦算法。 問題一 問題定義：假設 U = { u 1 , u 2 , . . . , u n } U=\{u_1, u_2, ..., u_n\} U={u1,u2,...,un}表示用戶集合， P = { p 1 , p 2 , . . . , p m } P=\{p_1, p_2, ..., p_m\} P={p1,p2,...,pm}表示物品集合， S
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相關文章
- 1. Summary of defect detection algorithms based on deep learning
- 2. Recommendation System Algorithms
- 3. Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works（筆記）
- 4. [coursera/ImprovingDL/week2]Optimization algorithms(summary&question)
- 5. Item-Based Collaborative Filtering Recommendation Algorithms
- 6. 【論文筆記】《Interact and decide: Medley of sub-attention networks for effective group recommendation》
- 7. Summary of pmml generation
- 8. The Summary of October
- 9. Summary of OAuth 2.0
- 10. Analysis of Algorithms