@inproceedings{2c4d182641034687a8f8aab9630cbf3c,
title = "A novel recommendation relevancy measure for collaborative filtering",
abstract = "Recommendation systems help people find their potential interests. In recommendation algorithms relevancy measures play an important role. Current relevancy measures often employ only user-item rating data or combine with contextual information to obtain related users or items. However, in some specific situations, these measures may not guarantee high accuracy or sufficient candidates. This paper solves these problems by proposing a novel recommendation relevancy measure, which indicates how worthy an item can be recommended to a user. In this paper, each interaction between a user and the recommendation system is regarded as a behavior represented with several features. The relevancy measure is achieved with a series of stepwise calculations and combinations on these features and behaviors. We evaluated the effectiveness of this measure against three other popular measures with a public dataset extracted from a commercial search engine. The experiment result shows that it can generate more recommendable items and achieves both high recall and precision.",
keywords = "Behavior Sequence, Collaborative filtering, Recommendation system",
author = "Bo Shu and Zhendong Niu and Chunxia Zhang and Xiaotian Jiang and Hongping Fu and Wei Chen",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; 12th International Conference on Web-Based Learning, ICWL 2013, held with 1st International Workshop on Ubiquitous Social Learning, USL 2013, International Workshop on Smart Living and Learning, IWSLL 2013, International Workshop on Cloud Computing for Web-Based Learning, IWCWL 2013, International Workshop on Web Intelligence and Learning, WIL 2013, International Workshop on E-book and Education Cloud, IWEEC 2013 and 3rd International Symposium on Knowledge Management and E-Learning, KMEL 2013 ; Conference date: 06-10-2013 Through 09-10-2013",
year = "2015",
doi = "10.1007/978-3-662-46315-4\_4",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "32--41",
editor = "Qing Li and Rynson Lau and Chiu, \{Dickson K.W.\} and Shih, \{Timothy K.\} and Chu-Sing Yang and Elvira Popescu and Minhong Wang and Sampson, \{Demetrios G.\}",
booktitle = "Advances in Web-Based Learning - ICWL 2013 Workshops - USL 2013, IWSLL 2013, KMEL 2013, IWCWL 2013, WIL 2013, and IWEEC 2013, Revised Selected Papers",
address = "Germany",
}