An effective threshold-based neighbor selection in collaborative filtering

Authors:
Taek-Hun Kim;Sung-Bong Yang
Affiliations:
Dept. of Computer Science, Yonsei University, Seoul, Korea;Dept. of Computer Science, Yonsei University, Seoul, Korea
Venue:
ECIR'07 Proceedings of the 29th European conference on IR research
Year:
2007

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Knowledge-Based Systems

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Abstract

In this paper we present a recommender system using an effective threshold-based neighbor selection in collaborative filtering. The proposed method uses the substitute neighbors of the test customer who may have an unusual preferences or who are the first rater. The experimental results show that the recommender systems using the proposed method find the proper neighbors and give a good prediction quality.