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ECAI
2008
Springer
14 years 11 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
ICMCS
2005
IEEE
109views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Communication in Crisis Situations Using Icon Language
To reduce the ambiguity and the different semantic interpretation of human observers’ reports, we propose a new paradigm in collaborating information using icons to represent co...
Siska Fitrianie, Léon J. M. Rothkrantz
SOFTVIS
2005
ACM
15 years 3 months ago
Towards understanding programs through wear-based filtering
Large software projects often require a programmer to make changes to unfamiliar source code. This paper presents the results of a formative observational study of seven professio...
Robert DeLine, Amir Khella, Mary Czerwinski, Georg...
SIGIR
2004
ACM
15 years 3 months ago
A nonparametric hierarchical bayesian framework for information filtering
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...
Kai Yu, Volker Tresp, Shipeng Yu
ICCCN
2007
IEEE
15 years 4 months ago
Performance of a Robust Filter-based Approach for Contour Detection in Wireless Sensor Networks
—A robust filter-based approach is proposed for wireless sensor networks for detecting contours of a signal distribution over a 2-dimensional region. The motivation for contour d...
Hadi Alasti, William A. Armstrong, Asis Nasipuri