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Robust collaborative filtering

Robust collaborative filtering, or attack-resistant collaborative filtering, refers to algorithms or techniques that aim to make collaborative… 
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Papers overview

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2013
2013
Collaborative filtering is one of the widely used technologies in the e-commerce recommender systems. It can predict the… 
Highly Cited
2012
Highly Cited
2012
Singular-value decomposition (SVD) [and principal component analysis (PCA)] is one of the most widely used techniques for… 
Highly Cited
2011
Highly Cited
2011
This paper considers the problem of matrix completion, when some number of the columns are arbitrarily corrupted. It is well… 
2011
2011
The Internet offers tremendous opportunities for information sharing and content distribution. However, without proper filtering… 
Highly Cited
2008
Highly Cited
2008
  • B. Mehta, W. Nejdl
  • User Modeling and User-Adapted Interaction
  • 2008
  • Corpus ID: 10115586
Collaborative filtering systems are essentially social systems which base their recommendation on the judgment of a large number… 
Highly Cited
2008
Highly Cited
2008
The widespread deployment of recommender systems has lead to user feedback of varying quality. While some users faithfully… 
Review
2008
Review
2008
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly… 
Highly Cited
2007
Highly Cited
2007
The widespread deployment of recommender systems has lead to user feedback of varying quality. While some users faithfully… 
2004
2004
In this paper we propose novel neighbourhood formation and similarity weight transformation schemes for automated collaborative… 
2002
2002
Collaborative filtering has now become a popular choice for reducing information overload. While many researchers have proposed…