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Issue No. 04 - July/August (2009 vol. 11)
ISSN: 1520-9202
pp: 38-44
Ofer Arazy , University of Alberta
Nanda Kumar , City University of New York
Bracha Shapira , Deutsche Telekom Laboratories at Ben-Gurion University
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.
INDEX TERMS
Recommendation systems, Design Science, advice taking, social computing, IT Professional.
CITATION

B. Shapira, O. Arazy and N. Kumar, "Improving Social Recommender Systems," in IT Professional, vol. 11, no. , pp. 38-44, 2009.
doi:10.1109/MITP.2009.76
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