On the Use of Cross-Domain User Preferences and Personality Traits in Collaborative Filtering

被引：10

作者：

Fernandez-Tobias, Ignacio ^{[1
]}

Cantador, Ivan ^{[1
]}

机构：

[1] Univ Autonoma Madrid, E-28049 Madrid, Spain

来源：

USER MODELING, ADAPTATION AND PERSONALIZATION | 2015年 / 9146卷

关键词：

Collaborative filtering; Personality; Cross-domain recommendation;

D O I：

10.1007/978-3-319-20267-9_29

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a study comparing collaborative filtering methods enhanced with user personality traits and cross-domain ratings in multiple domains on a relatively large dataset. We show that incorporating additional ratings from source domains allows improving the accuracy of recommendations in a different target domain, and that in certain cases, it is better to enrich user models with both cross-domain ratings and personality trait information.

引用

页码：343 / 349

页数：7

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