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Collaborative filtering

Known as: Cf, Collaborative Filter, Shilling attacks 
Collaborative filtering (CF) is a technique used by recommender systems. Collaborative filtering has two senses, a narrow one and a more general one… 
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Broader (2)

Collaborative softwareCollective intelligence

Papers overview

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Highly Cited
2017
Highly Cited
2017
A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems
Collaborative filtering (CF) is a widely used approach in recommender systems to solve many real-world problems. Traditional… 
Highly Cited
2016
Highly Cited
2016
Discrete Collaborative Filtering
We address the efficiency problem of Collaborative Filtering (CF) by hashing users and items as latent vectors in the form of… 
Highly Cited
2015
Highly Cited
2015
Collaborative Filtering with Graph Information: Consistency and Scalable Methods
Low rank matrix completion plays a fundamental role in collaborative filtering applications, the key idea being that the… 
Highly Cited
2012
Highly Cited
2012
CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering
In this paper we tackle the problem of recommendation in the scenarios with binary relevance data, when only a few (k) items are… 
Highly Cited
2012
Highly Cited
2012
A Comparative Study of Collaborative Filtering Algorithms
Collaborative ltering is a rapidly advancing research area. Every year several new techniques are proposed and yet it is not… 
Highly Cited
2010
Highly Cited
2010
Collaborative filtering with temporal dynamics
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new… 
Highly Cited
2010
Highly Cited
2010
Optimizing multiple objectives in collaborative filtering
This paper is about the utility of making personalized recommendations. While it is important to accurately predict the target… 
Highly Cited
2008
Highly Cited
2008
The bandwagon effect of collaborative filtering technology
Advancements in collaborative filtering and related technologies have resulted in the ubiquitous presence of other users… 
Highly Cited
2007
Highly Cited
2007
Improved Neighborhood-based Collaborative Filtering
Recommender systems based on collaborative filtering predi ct user preferences for products or services by learning past user… 
Highly Cited
1999
Highly Cited
1999
An Algorithmic Framework for Performing Collaborative Filtering
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