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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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Cluster analysis
Collaborative filtering
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
A Robust Collaborative Filtering Recommendation Algorithm Based on Multidimensional Trust Model
Dongyan Jia
,
Fuzhi Zhang
,
Sai Liu
J. Softw.
2013
Corpus ID: 1230741
Collaborative filtering is one of the widely used technologies in the e-commerce recommender systems. It can predict the…
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Highly Cited
2012
Highly Cited
2012
Robust PCA via Outlier Pursuit
Huan Xu
,
C. Caramanis
,
S. Sanghavi
IEEE Transactions on Information Theory
2012
Corpus ID: 777310
Singular-value decomposition (SVD) [and principal component analysis (PCA)] is one of the most widely used techniques for…
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Highly Cited
2011
Highly Cited
2011
Robust Matrix Completion and Corrupted Columns
Yudong Chen
,
Huan Xu
,
C. Caramanis
,
S. Sanghavi
ICML
2011
Corpus ID: 12822524
This paper considers the problem of matrix completion, when some number of the columns are arbitrarily corrupted. It is well…
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2011
2011
A Robust Collaborative Filtering Algorithm Using Ordered Logistic Regression
Shanshan Zheng
,
T. Jiang
,
J. Baras
IEEE International Conference on Communications…
2011
Corpus ID: 7094811
The Internet offers tremendous opportunities for information sharing and content distribution. However, without proper filtering…
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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…
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Highly Cited
2008
Highly Cited
2008
Attack resistant collaborative filtering
B. Mehta
,
W. Nejdl
SIGIR '08
2008
Corpus ID: 6397422
The widespread deployment of recommender systems has lead to user feedback of varying quality. While some users faithfully…
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Review
2008
Review
2008
A Survey of Attack-Resistant Collaborative Filtering Algorithms
B. Mehta
,
Thomas Hofmann
IEEE Data Eng. Bull.
2008
Corpus ID: 14648004
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly…
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Highly Cited
2007
Highly Cited
2007
Robust collaborative filtering
B. Mehta
,
Thomas Hofmann
,
W. Nejdl
RecSys '07
2007
Corpus ID: 5640125
The widespread deployment of recommender systems has lead to user feedback of varying quality. While some users faithfully…
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2004
2004
Utility-based neighbourhood formation for efficient and robust collaborative filtering
Michael P. O’Mahony
,
N. Hurley
,
G. Silvestre
EC '04
2004
Corpus ID: 1610168
In this paper we propose novel neighbourhood formation and similarity weight transformation schemes for automated collaborative…
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2002
2002
Towards Robust Collaborative Filtering
Michael P. O’Mahony
,
N. Hurley
,
G. Silvestre
AICS
2002
Corpus ID: 41814298
Collaborative filtering has now become a popular choice for reducing information overload. While many researchers have proposed…
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