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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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Cluster analysisCollaborative filtering

Papers overview

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2017
2017
Robust collaborative filtering based on non-negative matrix factorization and R1-norm
Collaborative filtering systems are vulnerable to shilling attacks or profile injection attacks in which malicious users can… Expand
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2013
2013
A Robust Collaborative Filtering Recommendation Algorithm Based on Multidimensional Trust Model
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
Robust PCA via Outlier Pursuit
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
Robust Matrix Completion and Corrupted Columns
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
Robust Matrix Completion with Corrupted Columns
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
Unsupervised strategies for shilling detection and robust collaborative filtering
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
Attack resistant collaborative filtering
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
Robust collaborative filtering
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
Utility-based neighbourhood formation for efficient and robust collaborative filtering
In this paper we propose novel neighbourhood formation and similarity weight transformation schemes for automated collaborative… Expand
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2002
2002
Towards Robust Collaborative Filtering
Collaborative filtering has now become a popular choice for reducing information overload. While many researchers have proposed… Expand
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