Addressing the New User Cold-Start Problem in Recommender Systems Using Ordered Weighted Averaging Operator

Addressing the New User Cold-Start Problem in Recommender Systems Using Ordered Weighted Averaging Operator

Recommender systems have become significant tools in electronic commerce, proposing effectively those items that best meet the preferences of users. A variety of techniques have been proposed for the recommender systems such as, collaborative filtering and content-based filtering. This study propose...

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Bibliographic Details
Main Authors: Javad Basiri, Azadeh Shakery, Behzad Moshiri, Morteza Zihayat
Format: Article
Language:English
Published: Iran Telecom Research Center 2010-12-01
Series:International Journal of Information and Communication Technology Research
Subjects:
owa
hybrid approach
demographic- information
content-based filtering
collaborative filtering
recommender system
Online Access:http://ijict.itrc.ac.ir/article-1-251-en.html

Internet

http://ijict.itrc.ac.ir/article-1-251-en.html

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