Recommender systems: from algorithms to user experience

Since their introduction in the early 1990’s, automated recommender systems have revolutionized the marketing and delivery of commerce and content by providing personalized recommendations and predictions over a variety of large and complex product offerings. In this article, we review the key advan...

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Bibliographic Details
Published in:	User modeling and user-adapted interaction Vol. 22; no. 1-2; pp. 101 - 123
Main Authors:	Konstan, Joseph A., Riedl, John
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.04.2012 Springer Nature B.V
Subjects:	Algorithms Collaboration Computer Science Constraining Data mining Electronic commerce End users Evolution Filtering Filtration Focusing Information systems Management of Computing and Information Systems Multimedia Information Systems Neighborhoods Original Paper Ratings & rankings Recommender systems Retarding Similarity measures State of the art Studies User experience User Interfaces and Human Computer Interaction United States > US Evaluation Metrics User experience Collaborative filtering Recommender systems
ISSN:	0924-1868, 1573-1391
Online Access:	Get full text
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