Current Result Document :
| 한글제목(Korean Title) |
영화 추천 시스템을 위한 연구: 한계점 및 해결 방법 |
| 영문제목(English Title) |
Survey for Movie Recommendation System: Challenge and Problem Solution |
| 저자(Author) |
초느에진랏
마리즈아길랄
무함마드 필다우스
강성원
이경현
Cho Nwe Zin Latt
Mariz Aguilar
Muhammad Firdaus
Sung-Won Kang
Kyung-Hyune Rhee
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| 원문수록처(Citation) |
VOL 29 NO. 01 PP. 0594 ~ 0597 (2022. 05) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Recommendation systems are a prominent approach for users to make informed automated judgments. In terms of movie recommendation systems, there are two methods used; Collaborative filtering, which is based on user similarities; and Content-based filtering which takes into account specific user’s activity. However, there are still issues with these two existing methods, and to address those, a combination of collaborative and content-based filtering is employed to produce a more effective system. In addition, various similarity methodologies are used to identify parallels among users. This paper focuses on a survey of the various tactics and methods to find solutions based on the problems of the current recommendation system. |
| 키워드(Keyword) |
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| 파일첨부 |
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