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Issue No. 03 - March (2013 vol. 46)
ISSN: 0018-9162
pp: 14-17
Neal Leavitt , Leavitt Communications
Today's recommendation systems use new approaches that let companies more effectively suggest products and services to potential customers.
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
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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