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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 analysisCollaborative filtering

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Privacy-preserving and yet Robust Collaborative Filtering Recommender as a Service
Collaborative filtering recommenders provide effective personalization services at the cost of sacrificing the privacy of their… 
2016
2016
Project : Streaming PCA with Many Missing Entries
This paper considers the problem of matrix completion when some number of the columns are completely and arbitrarily corrupted… 
2015
2015
Robust collaborative filtering recommendation algorithm incorporated with the difference of individual features
The existing recommendation algorithms have poor robustness against shilling attacks. In this consideration,in this paper we… 
Review
2011
Review
2011
Predictability Issues in Recommender Systems Based on Web Usage Behavior towards Robust Collaborative Filtering
s This paper examines the effect of Recommender Systems in security oriented issues. Currently research has begun to evaluate the… 
2003
2003
Generalized Low-Rank Approximations Nathan Srebro and Tommi Jaakkola
We study the frequent problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM… 
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