Hits:

Indexed by:期刊论文

Date of Publication:2014-01-01

Journal:ICIC Express Letters

Included Journals:EI、Scopus

Volume:8

Issue:2

Page Number:341-347

ISSN No.:1881803X

Abstract:This paper puts forward a personalized recommendation method which based on Bayesian network and ontology for the restaurant dishes recommendation. The method incorporates various contexts to build a recommendation model, and the recommendation procedure was proposed which combines the Bayesian reasoning with ontology rules. The experiment results show that incorporating various contexts can perform better accuracy, and the proposed method can provide effective recommendation that could satisfy the users' needs under various user contexts. ? 2014 ISSN 1881-803X.