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Issue No. 03 - March (2013 vol. 46)
ISSN: 0018-9162
pp: 14-17
Neal Leavitt , Leavitt Communications
ABSTRACT
Today's recommendation systems use new approaches that let companies more effectively suggest products and services to potential customers.
INDEX TERMS
personalized collaborative filtering, software, recommendation engines, recommender systems, e-commerce, algorithms, big data, artificial intelligence, AI, rules-based systems, expert-adaptive, data mining, Bayesian technology, personalization
CITATION
Neal Leavitt, "A Technology that Comes Highly Recommended", Computer, vol. 46, no. , pp. 14-17, March 2013, doi:10.1109/MC.2013.80
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