FAQ

Collaborative filtering

Known as: 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… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1988-2017
020040060019882017

Related topics

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Apache SparkBusiness logicCalifornia Report CardCold start
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Broader (1)

Social information processing

Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Collaborative filtering
Machine learning
Data mining
Data structure
Personalization
Recommender system

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
Collaborative filtering with temporal dynamics
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new… (More)
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Highly Cited
2007
Highly Cited
2007
Collaborative Filtering Recommender Systems
One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF… (More)
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Highly Cited
2007
Highly Cited
2007
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
We propose a novel image denoising strategy based on an enhanced sparse representation in transform domain. The enhancement of… (More)
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Highly Cited
2003
Highly Cited
2003
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
R ecommendation algorithms are best known for their use on e-commerce Web sites,1 where they use input about a customer’s… (More)
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Highly Cited
2002
Highly Cited
2002
Content-Boosted Collaborative Filtering for Improved Recommendations
Most recommender systems use Collaborative Filtering or Content-based methods to predict new items of interest for a user. While… (More)
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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… (More)
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Highly Cited
1998
Highly Cited
1998
Empirical Analysis of Predictive Algorithms for Collaborative Filtering
Collaborative filtering or recommender sys­ tems use a database about user preferences to predict additional topics or products a… (More)
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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… (More)
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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… (More)
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Highly Cited
1992
Highly Cited
1992
Using Collaborative Filtering to Weave an Information Tapestry
Tapestry is an experimental mail system developed at the Xerox Palo Alto Research Center. The motivation for Tapestry comes from… (More)
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