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» Recommendation Systems: A Probabilistic Analysis
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WETICE
2006
IEEE
14 years 2 months ago
A Trust-enabled P2P Recommender System
In this paper we present a trust-oriented method that can be used when building P2P recommender systems. We discuss its benefits in comparison to centralized solutions, its requir...
Georgios Pitsilis, Lindsay Marshall
AUTOMATICA
2002
80views more  AUTOMATICA 2002»
13 years 8 months ago
Robust control of nonlinear systems with parametric uncertainty
Probabilistic robustness analysis and synthesis for nonlinear systems with uncertain parameters are presented. Monte Carlo simulation is used to estimate the likelihood of system ...
Qian Wang, Robert F. Stengel
RECSYS
2009
ACM
14 years 1 months ago
Effective diverse and obfuscated attacks on model-based recommender systems
Robustness analysis research has shown that conventional memory-based recommender systems are very susceptible to malicious profile-injection attacks. A number of attack models h...
Zunping Cheng, Neil Hurley
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
RECSYS
2010
ACM
13 years 8 months ago
Recommending based on rating frequencies
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach