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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
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Globally, the recommendation services have become important due to the fact that they support e-commerce applications and… Expand
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Review
2018
Review
2018
Providing model-generated explanations in recommender systems is important to user experience. State-of-the-art recommendation… Expand
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Review
2018
Review
2018
In the era of big data, recommender system (RS) has become an effective information filtering tool that alleviates information… Expand
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Highly Cited
2007
Highly Cited
2007
Several approaches to collaborative filtering have been studied but seldom have studies been reported for large (several… 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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