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)
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Topic mentions per year

Topic mentions per year

1988-2017
020040060019882017

Papers overview

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Highly Cited
2009
Highly Cited
2009
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
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
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
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
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
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
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
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
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
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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