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STOC
2004
ACM
145views Algorithms» more  STOC 2004»
14 years 7 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
UM
2009
Springer
14 years 1 months ago
User Modeling of Disabled Persons for Generating Instructions to Medical First Responders
To provide personalized health recommendations concerning disabled persons, an adaptive system needs a detailed user model that can account for the peculiar aspects of the many exi...
Luca Chittaro, Roberto Ranon, Luca De Marco, Augus...
ICIAR
2009
Springer
13 years 12 months ago
Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
Jun Yin, Yan Meng
CORR
2011
Springer
175views Education» more  CORR 2011»
13 years 2 months ago
Adaptive Channel Recommendation for Dynamic Spectrum Access
—We propose a dynamic spectrum access scheme where secondary users recommend “good” channels to each other and access accordingly. We formulate the problem as an average rewa...
Xu Chen, Jianwei Huang, Husheng Li
ECIR
2007
Springer
13 years 8 months ago
Personalized Communities in a Distributed Recommender System
The amount of data exponentially increases in information systems and it becomes more and more difficult to extract the most relevant information within a very short time. Among ot...
Sylvain Castagnos, Anne Boyer