A recommendation using item quality

Authors:
Sung-Hoon Cho;Moo-Hun Lee;Bong-Hoi Kim;Eui-In Choi
Affiliations:
Dept. of Computer Engineering, Hannam University, Daejeon, Korea;Dept. of Computer Engineering, Hannam University, Daejeon, Korea;UBNC Co., Ltd., Daejeon, Korea;Dept. of Computer Engineering, Hannam University, Daejeon, Korea
Venue:
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Year:
2008

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Abstract

Today there are a lot of recommender systems operating on the web. These systems use content-based filtering or collaborative filtering or hybrid approach that was studied before. These techniques operate recommendation by using features of user and item, similarity of users, and items. Even though there is a consideration of attributes of items and users, but there is not much consideration of the quality of items. This is why item quality is not easy to be measured. This paper computes item quality, suggests it to apply to the recommender system, and presents it by analyzing the influence.