An effective threshold-based neighbor selection in collaborative filtering

被引：0

作者：

Kim, Taek-Hun ^{[1
]}

Yang, Sung-Bong ^{[1
]}

机构：

[1] Yonsei Univ, Dept Comp Sci, Seoul 120749, South Korea

来源：

ADVANCES IN INFORMATION RETRIEVAL | 2007年 / 4425卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：712 / +

页数：2

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