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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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Papers overview

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2015
2015
Big data is a big business, and effective modeling of this data is key. This paper provides a comprehensive multidimensional… 
Highly Cited
2011
Highly Cited
2011
Mobile devices often utilize touchscreen keyboards for text input. However, due to the lack of tactile feedback and generally… 
Highly Cited
2011
Highly Cited
2011
Based on a hybrid algorithm incorporating the heat conduction and probability spreading processes (Proc. Natl. Acad. Sci. U.S.A… 
Highly Cited
2010
Highly Cited
2010
Predicting people other people may like has recently become an important task in many online social networks. Traditional… 
2010
2010
Trust-aware recommender systems are intelligent technology applications that make use of trust information and user personal data… 
Highly Cited
2009
Highly Cited
2009
The paper addresses a new unbiased p-step toward predictive finite impulse response (FIR) filter for a class of discrete-time… 
2006
2006
Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more… 
2005
2005
Most existing recommender systems employ collaborative fil- tering (CF) techniques in making projections about which items an e… 
2003
2003
A collaborative filtering system analyzes data on the past behavior of its users so as to make recommendations --- a canonical…