Review and Implementation of Common Statistical Methods for Recommender Systems

Review and Implementation of Common Statistical Methods for Recommender Systems
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Total Pages : 55
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ISBN-10 : OCLC:1245255601
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Review and Implementation of Common Statistical Methods for Recommender Systems by : Candace Jennifer McKeag

Download or read book Review and Implementation of Common Statistical Methods for Recommender Systems written by Candace Jennifer McKeag and published by . This book was released on 2021 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a result of today's massive information overload, the exploration and development of recommender systems is burgeoning. This paper consists of a comprehensive literature review in which the current knowledge surrounding statistical methods for recommender systems is outlined and evaluated. For each method, the theoretical premise and application-related aspects such as optimal use cases and common research problems are described. To round out the literature review, an implementation of several collaborative filtering techniques is conducted in order to apply the discussed theory and identify some advantages and disadvantages of the methods.

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