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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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Related topics

Related topics

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Cluster analysisCollaborative filtering

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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 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
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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2011
2011
A Robust Collaborative Filtering Algorithm Using Ordered Logistic Regression
The Internet offers tremendous opportunities for information sharing and content distribution. However, without proper filtering… Expand
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2009
2009
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
Highly Cited
2008
Highly Cited
2008
Unsupervised strategies for shilling detection and robust collaborative filtering
  • 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… 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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