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Improving Social Recommender Systems

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3 Author(s)
Arazy, O. ; Univ. of Alberta, Edmonton, AB, Canada ; Kumar, N. ; Shapira, B.

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.

Published in:

IT Professional  (Volume:11 ,  Issue: 4 )

Date of Publication:

July-Aug. 2009

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