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98
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AH
2008
Springer
15 years 7 months ago
Accuracy in Rating and Recommending Item Features
This paper discusses accuracy in processing ratings of and recommendations for item features. Such processing facilitates featurebased user navigation in recommender system interfa...
Lloyd Rutledge, Natalia Stash, Yiwen Wang, Lora Ar...
135
Voted
CIKM
2010
Springer
14 years 10 months ago
Mining topic-level influence in heterogeneous networks
Influence is a complex and subtle force that governs the dynamics of social networks as well as the behaviors of involved users. Understanding influence can benefit various applic...
Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang...
DATESO
2009
109views Database» more  DATESO 2009»
14 years 10 months ago
Various aspects of user preference learning and recommender systems
In this paper, we describe area of recommender systems, with focus on user preference learning problem. We describe such system and identify some interesting problems. We will comp...
Alan Eckhardt
83
Voted
ATAL
2007
Springer
15 years 6 months ago
An agent-based approach for privacy-preserving recommender systems
Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an ess...
Richard Cissée, Sahin Albayrak
109
Voted
IUI
2003
ACM
15 years 5 months ago
MovieLens unplugged: experiences with an occasionally connected recommender system
Recommender systems have changed the way people shop online. Recommender systems on wireless mobile devices may have the same impact on the way people shop in stores. We present o...
Bradley N. Miller, Istvan Albert, Shyong K. Lam, J...