Recommender systems: from algorithms to user experience

@article{Konstan2011RecommenderSF,
  title={Recommender systems: from algorithms to user experience},
  author={Joseph A. Konstan and John Riedl},
  journal={User Modeling and User-Adapted Interaction},
  year={2011},
  volume={22},
  pages={101-123}
}
  • J. KonstanJ. Riedl
  • Published 1 April 2012
  • Computer Science
  • User Modeling and User-Adapted Interaction
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 advances in collaborative filtering recommender systems, focusing on the evolution from research concentrated purely on algorithms to research concentrated on the rich set of questions around the user… 

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