A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem-Reference-Cited by-同舟云学术

A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem

Published:2008-01 Issue:1 Volume:178 Page:37-51
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Ahn Hyung Jun

Publisher

Elsevier BV

Subject

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

Reference35 articles.

1. Incorporating contextual information in recommender systems using a multidimensional approach;Adomavicius;ACM Transactions on Information Systems,2005

2. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions;Adomavicius;IEEE Transactions on Knowledge & Data Engineering,2005

3. A personalised recommendation procedure based on dimensionality reduction and web mining;Ahn;International Journal of Internet & Enterprise Management,2004

4. Utilizing popularity characteristics for product recommendation;Ahn;International Journal of Electronic Commerce,2006

5. Hybrid recommender systems: survey and experiments;Burke;User Modeling and User-Adapted Interaction,2002

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