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On using category experts for improving the performance and accuracy in recommender systems

Title
On using category experts for improving the performance and accuracy in recommender systems
Authors
Hwang W.-S.Lee H.-J.Kim S.-W.Lee M.
Ewha Authors
이민수
SCOPUS Author ID
이민수scopus
Issue Date
2012
Journal Title
ACM International Conference Proceeding Series
Indexed
SCOPUS scopus
Abstract
A variety of recommendation methods have been proposed to satisfy the performance and accuracy; however, it is fairly difficult to satisfy both of them because there is a trade-off between them. In this paper, we introduce the notion of category experts and propose the recommendation method by exploiting the ratings of category experts instead of those of the users similar to a target user. We also extend the method that uses both the category preference of a target user and his/her similarity to category experts. We show that our method significantly outperforms the existing methods in terms of performance and accuracy through extensive experiments with real-world data. © 2012 ACM.
DOI
10.1145/2396761.2398639
ISBN
9781450311564
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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