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» Delay-tolerant collaborative filtering
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KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 6 days ago
Classification features for attack detection in collaborative recommender systems
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
16 years 11 days ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester
WMC
2001
95views ECommerce» more  WMC 2001»
15 years 1 months ago
Peer-to-peer based recommendations for mobile commerce
With the increasing number of mobile commerce facilities, there are challenges in providing customers useful recommendations about interesting products and services. In this paper...
Amund Tveit
CORR
2008
Springer
63views Education» more  CORR 2008»
14 years 11 months ago
A toolkit for a generative lexicon
In this paper we describe the conception of a software toolkit designed for the construction, maintenance and collaborative use of a Generative Lexicon. In order to ease its porta...
Patrick Henry, Christian Bassac
ICDM
2010
IEEE
146views Data Mining» more  ICDM 2010»
14 years 9 months ago
One-Class Matrix Completion with Low-Density Factorizations
Consider a typical recommendation problem. A company has historical records of products sold to a large customer base. These records may be compactly represented as a sparse custom...
Vikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu,...