강의계획서
| 교과목코드 | DL250007 | 교과목명 | 추천시스템 |
|---|---|---|---|
| 강의학과 | 정보통신공학과 | 교수 | 정재희 |
| 교수소속 | 컴퓨터정보통신공학부 정보통신공학전공 | 이수학년 | |
| 과목구분 | 과정구분 | 석·박사공통 | |
| 이메일 | jhjung@mju.ac.kr | 전화번호 |
| 주차 | 주제 |
|---|---|
| 1주차 | Introduction to Recommendation Systems:: |
| 2주차 | Collaborative Filtering: User-Based and Item-Based Methods |
| 3주차 | Chapter 7. Finding similarities among users and among content |
| 4주차 | ‘Chapter 8. Collaborative filtering in the neighborhood |
| 5주차 | Chapter 9. Evaluating and testing your recommender |
| 6주차 | Chapter 10. Content-based filtering |
| 7주차 | Chapter 11. Finding hidden genres with matrix factorization’ |
| 8주차 | Chapter 13. Ranking and learning to rank |
| 9주차 | Knowledge Graph and Graph Neural Networks for Recommendation |
| 10주차 | Knowledge Graph and Graph Neural Networks for Recommendation |
| 11주차 | Research Paper Review and Presentation (Recent Papers from RecSys, SIGIR, KDD, etc.) |
| 12주차 | Research Paper Review and Presentation (Recent Papers from RecSys, SIGIR, KDD, etc.) |
| 13주차 | Research Paper Review and Presentation (Recent Papers from RecSys, SIGIR, KDD, etc.) |
| 14주차 | Research Paper Review and Presentation (Recent Papers from RecSys, SIGIR, KDD, etc.) |
| 15주차 | Research Paper Review and Presentation (Recent Papers from RecSys, SIGIR, KDD, etc.) |
| 16주차 |