Model for evaluating product-recommendation algorithms suggests that trial and error get it right

14 noviembre 2014

A model for evaluating product-recommendation algorithms suggests that trial and error get it right. Researchers will present a paper that applies their model to the recommendation engines that are familiar from websites like Amazon and Netflix — with surprising results.
http://feeds.sciencedaily.com/~r/sciencedaily/~3/pYsH4JJah1Y/141114131100.htm

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