Improving Social Recommender Systems

Authors:
Ofer Arazy;Nanda Kumar;Bracha Shapira
Affiliations:
University of Alberta;City University of New York;Deutsche Telekom Laboratories at Ben-Gurion University
Venue:
IT Professional
Year:
2009

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Abstract

Recommender systems play a significant role in reducing information overload for people visiting online sites, but their accuracy could be improved by using data from online social networks and electronic communication tools.