Transcription of Recommendation Systems - Stanford University
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Chapter 9 Recommendation SystemsThere is an extensive class of Web applications that involve predictinguserresponses to options. Such a facility is called arecommendation system. Weshall begin this chapter with a survey of the most important examples of thesesystems. However, to bring the problem into focus, two good examples ofrecommendation Systems are:1. Offering news articles to on-line newspaper readers, based on a predictionof reader Offering customers of an on-line retailer suggestions about whattheymight like to buy, based on their past history of purchases and/or Systems use a number of different technologies. We canclassify these Systems into two broad groups. Content-based systemsexamine properties of the items recommended. Forinstance, if a Netflix user has watched many cowboy movies, then recom-mend a movie classified in the database as having the cowboy genre.
lished, another book on the same topic, called Into Thin Air was pub-lished. Amazon’s recommendation system noticed a few people who bought both books, and started recommending Touching the Void to peo-ple who bought, …
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