Improving Social Recommender Systems

Posted: 23 May 2013 Last revised: 27 Jun 2013

See all articles by Ofer Arazy

Ofer Arazy

Independent

Nanda Kumar

CUNY Baruch College - CIS, Zicklin School of Business

Bracha Shapira

Ben-Gurion University of the Negev

Date Written: July 24, 2008

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.

Suggested Citation

Arazy, Ofer and Kumar, Nanda and Shapira, Bracha, Improving Social Recommender Systems (July 24, 2008). IEEE IT Professional, July/August, 2009 , University of Alberta School of Business Research Paper No. 2013-106, Available at SSRN: https://ssrn.com/abstract=2268723

Nanda Kumar

CUNY Baruch College - CIS, Zicklin School of Business ( email )

17 Lexington Avenue
New York, NY 10010
United States

HOME PAGE: http://cisnet.baruch.cuny.edu/kumar

Bracha Shapira

Ben-Gurion University of the Negev ( email )

Beer-Sheva
Israel

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