2003년 춘계 학술대회
Current Result Document :
| 한글제목(Korean Title) |
Collaborative Movie Recommender Considering User Profiles Explicitly |
| 영문제목(English Title) |
Collaborative Movie Recommender Considering User Profiles Explicitly |
| 저자(Author) |
Qing Li
Byeong Man Kim
Yoon Sik Shin
En Ki Lim
|
| 원문수록처(Citation) |
VOL 30 NO. 01 PP. 0000 ~ 0000 (2003. 04) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
We are developing a web-based movie recommender system that catches and reasons with user profiles and ratings to recommend movies. In the paper, we outline the current status of our implementation with particular emphasis on the mechanisms used to provide effective recommendations. Social recommender systems collect ratings of items from many individuals and use nearest-neighbor techniques to make recommendations to a user. However, these methods only depend on the ratings and ignore other useful information. Our primary concern is to provide an approach that can recommend the movies based on not only the user ratings but also the significant amount of other information that is available about the nature of each items - such as cast list or movie genre. We experimentally evaluate our approach and compare them to conventional social filtering, which suggests merits to our approach. |
| 키워드(Keyword) |
Movie
Recommender
Profiles
|
| 파일첨부 |
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