Ontology-based user preferences Bayesian model for personalized recommendation

被引：0

作者：

机构：

[1] Institute of Systems Engineering, Dalian University of Technology

[2] Faculty of Symbiotic Systems Science, Fukushima University

[3] Department of Information Technology and Operations Management, Florida Atlantic University

来源：

Jin, C. (jinchun@dlut.edu.cn) | 1600年 / Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States卷 / 09期

关键词：

Bayesian network; Ontology; Personalized recommendation; User preferences;

D O I：

10.12733/jcisP0748

中图分类号：

学科分类号：

摘要：

This paper proposes an ontology-based user preferences Bayesian model (UPOBM) for user preferences problem of traditional personalized recommendation. The model incorporates Bayesian network structure and knowledge of ontology to express the casual relations among contexts, user characteristics and user preferences. Taking a restaurant dishes recommendation under e-commerce as an example, the study adopts the method combining the probability reasoning of the proposed model with ontology rules to make recommendation. The experiment results show that the recommendation based on the proposed model is superior to the methods without Bayesian reasoning to user preferences in coverage and accuracy. © 2013 Binary Information Press.

引用

页码：6579 / 6586

页数：7

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