IEEE - Institute of Electrical and Electronics Engineers, Inc. - Maximizing recommender's influence in a social network: An information theoretic perspective

2015 IEEE Information Theory Workshop - Fall (ITW)

Author(s): Basak Guler ; Kaya Tutuncuoglu ; Aylin Yener
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2015
Conference Location: Jeju, South Korea
Conference Date: 11 October 2015
Page(s): 262 - 266
ISBN (Electronic): 978-1-4673-7852-9
ISBN (USB): 978-1-4673-7851-2
DOI: 10.1109/ITWF.2015.7360776
Regular:

We study a social network in which individuals make decisions influenced by a recommender as well as the previous actions taken by themselves or other users. The recommender aims to tailor its... View More

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