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CSCW
1998
ACM
15 years 3 months ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
CONCURRENCY
2000
123views more  CONCURRENCY 2000»
14 years 11 months ago
A mobile agent based push methodology for global parallel computing
The 1990s are seeing the explosive growth of the Internet and Web-based information sharing and dissemination systems. The Internet is also showing a potential of forming of a sup...
Cheng-Zhong Xu, Brian Wims
PAMI
2007
186views more  PAMI 2007»
14 years 11 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
CIKM
2005
Springer
15 years 5 months ago
Implicit user modeling for personalized search
Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally...
Xuehua Shen, Bin Tan, ChengXiang Zhai
WOA
2010
14 years 9 months ago
Using Mobile Agents for Secure Biometric Authentication
This paper deals with the definition of a strong authentication model, coupling usual password/PIN based methods with a biometric matching, over a Multi Agent distributed infrastru...
Marco Tranquillin, Carlo Ferrari, Michele Moro