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Collaborative filtering

Known as: Cf, Collaborative Filter, Shilling attacks 
Collaborative filtering (CF) is a technique used by recommender systems. Collaborative filtering has two senses, a narrow one and a more general one… Expand
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Apache MahoutApache SparkBusiness logicCalifornia Report Card
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Broader (2)

Collaborative softwareCollective intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation: Recent Theory and Fast Algorithms via Convex and Nonconvex Optimization
Low-rank modeling plays a pivotal role in signal processing and machine learning, with applications ranging from collaborative… Expand
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Highly Cited
2008
Highly Cited
2008
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on… Expand
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Highly Cited
2007
Highly Cited
2007
Restricted Boltzmann machines for collaborative filtering
Most of the existing approaches to collaborative filtering cannot handle very large data sets. In this paper we show how a class… Expand
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Highly Cited
2003
Highly Cited
2003
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
Recommendation algorithms are best known for their use on e-commerce Web sites, where they use input about a customer's interests… Expand
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Highly Cited
2001
Highly Cited
2001
Item-based collaborative filtering recommendation algorithms
Recommender systems apply knowledge discovery techniques to the problem of making personalized recommendations for information… Expand
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Highly Cited
2000
Highly Cited
2000
Explaining collaborative filtering recommendations
Automated collaborative filtering (ACF) systems predict a person's affinity for items or information by connecting that person's… Expand
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Highly Cited
1998
Highly Cited
1998
Empirical Analysis of Predictive Algorithms for Collaborative Filtering
Collaborative filtering or recommender systems use a database about user preferences to predict additional topics or products a… Expand
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Highly Cited
1997
Highly Cited
1997
GroupLens: applying collaborative filtering to Usenet news
newsgroups carry a wide enough spread of messages to make most individuals consider Usenet news to be a high noise information… Expand
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Highly Cited
1994
Highly Cited
1994
GroupLens: an open architecture for collaborative filtering of netnews
Collaborative filters help people make choices based on the opinions of other people. GroupLens is a system for collaborative… Expand
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Highly Cited
1992
Highly Cited
1992
Using collaborative filtering to weave an information tapestry
The Tapestry experimental mail system developed at the Xerox Palo Alto Research Center is predicated on the belief that… Expand
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