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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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Papers overview

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Review
2018
Review
2018
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
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
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
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
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
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
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
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
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
The Tapestry experimental mail system developed at the Xerox Palo Alto Research Center is predicated on the belief that… Expand
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