KSC 2020
Current Result Document : 2 / 2
| 한글제목(Korean Title) |
태그를 통한 하이브리드 권장 알고리즘 시간 및 사용자 관계 |
| 영문제목(English Title) |
A Hybrid Recommendation Algorithm using Tags, Time and User Relationship |
| 저자(Author) |
장 흠
Xin Zhang
Scott Uk-Jin Lee
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| 원문수록처(Citation) |
VOL 47 NO. 02 PP. 0583 ~ 0585 (2020. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
A user behavioral preference is often influenced by a variety of factors, such as user relationship, time and so on. If only consider a single factor, it’s hard to make accurate recommendations. Therefore, this paper proposes a hybrid recommendation algorithm that considers tag semantic, user relationship and the time factor. Firstly, modeling the user’s tagging behavior using the LDA (Latent Dirichlet Allocation) topic model, obtain the user-item probability matrix. Next, calculate user similarity based on the time when the user marked the item. On the basis of these, considering user relationship and calculate the user's final preference for the item and generate recommendations. Experimental results show that the performance is better than the traditional recommendation algorithm. |
| 키워드(Keyword) |
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| 파일첨부 |
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