Issue No. 03 - March (2013 vol. 46)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2013.80
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
N. Leavitt, "A Technology that Comes Highly Recommended," in Computer, vol. 46, no. , pp. 14-17, 2013.