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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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Related topics

Related topics

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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
2019
Review
2019
Scientific Paper Recommendation: A Survey
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
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
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
A Survey of Collaborative Filtering-Based Recommender Systems: From Traditional Methods to Hybrid Methods Based on Social Networks
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
Google news personalization: scalable online collaborative filtering
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
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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