An effective recommendation method for cold start new users using trust and distrust networks-Reference-Cited by-同舟云学术

An effective recommendation method for cold start new users using trust and distrust networks

Published:2013-03 Issue: Volume:224 Page:19-36
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Chen Chien Chin,Wan Yu-Hao,Chung Meng-Chieh,Sun Yu-Chun

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference43 articles.

1. Incorporating contextual information in recommender systems using a multidimensional approach;Adomavicius;ACM Trans. Inf. Syst.,2005

3. Collaborative filtering based on significances;Bobadilla;Inf. Sci.,2012

4. A collaborative filtering approach to mitigate the new user cold start problem;Bobadilla;Know.-Based Syst.,2012

5. Empirical analysis of predictive algorithms for collaborative filtering;Breese,1998

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