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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… 
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Related topics

Related topics

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Apache MahoutApache SparkBusiness logicCalifornia Report Card

Broader (2)

Collaborative softwareCollective intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Neural Collaborative Filtering
In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language… 
Review
2009
Review
2009
A Survey of Collaborative Filtering Techniques
As one of the most successful approaches to building recommender systems, collaborative filtering (CF) uses the known preferences… 
Highly Cited
2008
Highly Cited
2008
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior… 
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… 
Review
2004
Review
2004
Evaluating collaborative filtering recommender systems
Recommender systems have been evaluated in many, often incomparable, ways. In this article, we review the key decisions in… 
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… 
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… 
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… 
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… 
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… 
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