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190
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ECAI
2008
Springer
15 years 9 months ago
Probabilistic Reinforcement Rules for Item-Based Recommender Systems
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
Sylvain Castagnos, Armelle Brun, Anne Boyer
199
Voted
JCISE
2002
128views more  JCISE 2002»
15 years 7 months ago
A Collaborative Framework for Integrated Part and Assembly Modeling
An ideal product modeling system should support both part modeling and assembly modeling, instead of just either of them as is the case in most current CAD systems. A good basis f...
Rafael Bidarra, Niels Kranendonk, Alex Noort, Will...
200
Voted
ICDIM
2008
IEEE
16 years 1 months ago
A holographic associative memory recommender system
We describe a recommender system based on Dynamically Structured Holographic Memory (DSHM), a cognitive model of associative memory that uses holographic reduced representations a...
Matthew Rutledge-Taylor, Andre Vellino, Robert L. ...
186
Voted
HICSS
2007
IEEE
107views Biometrics» more  HICSS 2007»
16 years 1 months ago
A Runtime and Analysis Framework Support for Unit Component Testing in Distributed Systems
This paper presents a test framework to support unit component testing in distributed component-based systems that are built upon component technologies like CORBA, COM/.NET, J2EE...
Jun Li, Keith Moore
UM
2009
Springer
15 years 12 months ago
History Dependent Recommender Systems Based on Partial Matching
Abstract. This paper focuses on the utilization of the history of navigation within recommender systems. It aims at designing a collaborative recommender based on Markov models rel...
Armelle Brun, Geoffray Bonnin, Anne Boyer