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Articles (2016), Journal of the Academy of Marketing Science, 44 (1), pp. 66-87

Adaptive Personalization Using Social Networks

Chung Tuck S. , Wedel Michel, Rust Roland

The authors develop and implement an adaptive personalization system for personalizing mobile news based on recording and analyzing customers’ behavior, plus information from their social network. The system learns from an individual’s reading history, automatically discovers new material as a result of shared interests in the user’s social network, and adapts the news feeds shown to the user. Lien vers l'article

CHUNG, T.S., WEDEL, M. and RUST, R. (2016). Adaptive Personalization Using Social Networks. Journal of the Academy of Marketing Science, 44(1), pp. 66-87.

Mots clés : #Personalization, #Social-networks, #News, #Bayes-classifier, #Recommendation-systems, #Mobile-commerce, #Smart-phones, #Service-marketing