Collaborative Filtering Recommender Systems

@article{Ekstrand2011CollaborativeFR,
  title={Collaborative Filtering Recommender Systems},
  author={Michael D. Ekstrand and John Riedl and Joseph A. Konstan},
  journal={Foundations and Trends in Human-Computer Interaction},
  year={2011},
  volume={4},
  pages={175-243}
}
Recommender systems are an important part of the information and e-commerce ecosystem. They represent a powerful method for enabling users to filter through large information and product spaces. Nearly two decades of research on collaborative filtering have led to a varied set of algorithms and a rich collection of tools for evaluating their performance. Research in the field is moving in the direction of a richer understanding of how recommender technology may be embedded in specific domains… CONTINUE READING

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