📚 STUDY/AI

[추천시스템] 목차

삶감 2023. 4. 18. 17:16

본 시리즈는 연세대학교 인공지능학과 대학원 이동하 교수님의 "Recommender Systems and Information Filtering(AAI5009)" 수업의 정리임을 밝힙니다.

 

 

1. Introduction to Recommender System

2. Non-personalized and Content-based Recommendation

3. Nearest Neighbor Collaborative Filtering

4. Matrix Factorization Collaborative Filtering

5. Factorization Machines

6. Top-K Recommendation

7. Deep Learning for Recommender Systems

8. Hybrid Recommender Systems

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