@inproceedings{65d3ba73572148f88a21acaa431baa32,
title = "On using category experts for improving the performance and accuracy in recommender systems",
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.",
keywords = "collaborative filtering, expert, performance evaluation, recommender system",
author = "Hwang, {Won Seok} and Lee, {Ho Jong} and Kim, {Sang Wook} and Minsoo Lee",
year = "2012",
doi = "10.1145/2396761.2398639",
language = "English",
isbn = "9781450311564",
series = "ACM International Conference Proceeding Series",
pages = "2355--2358",
booktitle = "CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management",
note = "21st ACM International Conference on Information and Knowledge Management, CIKM 2012 ; Conference date: 29-10-2012 Through 02-11-2012",
}