A Bayesian Approach to Identify Photos Likely to Be More Popular in Social Media

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ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org

"A Bayesian Approach to Identify Photos Likely to Be More Popular in Social Media"
written by Arunabha Choudhury, Sriram Nagaswamy,
published by Journal of Computer and Communications, Vol.3 No.11, 2015

has been cited by the following article(s):

[1]	On the Measurement and Prediction of Web Content Utility: A Review
	ACM SIGKDD Explorations Newsletter, 2017

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[1]	On the Measurement and Prediction of Web Content Utility ACM SIGKDD Explorations Newsletter, 2017 DOI:10.1145/3166054.3166056

[2]	On the Measurement and Prediction of Web Content Utility ACM SIGKDD Explorations Newsletter, 2017 DOI:10.1145/3166054.3166056