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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… Expand
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Papers overview

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2017
2017
Collaborative filtering systems are vulnerable to shilling attacks or profile injection attacks in which malicious users can… Expand
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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… Expand
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Highly Cited
2012
Highly Cited
2012
Singular-value decomposition (SVD) [and principal component analysis (PCA)] is one of the most widely used techniques for… Expand
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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… Expand
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Highly Cited
2011
Highly Cited
2011
This paper considers the problem of matrix completion, when some number of the columns are arbitrarily corrupted, potentially by… Expand
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Highly Cited
2008
Highly Cited
2008
Collaborative filtering systems are essentially social systems which base their recommendation on the judgment of a large number… Expand
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Highly Cited
2008
Highly Cited
2008
The widespread deployment of recommender systems has lead to user feedback of varying quality. While some users faithfully… Expand
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Highly Cited
2007
Highly Cited
2007
The widespread deployment of recommender systems has lead to user feedback of varying quality. While some users faithfully… Expand
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2004
2004
In this paper we propose novel neighbourhood formation and similarity weight transformation schemes for automated collaborative… Expand
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2002
2002
Collaborative filtering has now become a popular choice for reducing information overload. While many researchers have proposed… Expand
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