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» Preference elicitation with subjective features
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WWW
2011
ACM
13 years 2 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
13 years 9 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
IJISEC
2007
119views more  IJISEC 2007»
13 years 7 months ago
An incentive compatible reputation mechanism for ubiquitous computing environments
The vision of ubiquitous computing is becoming a reality thanks to the advent of portable devices and the advances in wireless networking technologies. It aims to facilitate user ...
Jinshan Liu, Valérie Issarny
ICMCS
2000
IEEE
170views Multimedia» more  ICMCS 2000»
13 years 12 months ago
Update Relevant Image Weights for Content-Based Image Retrieval using Support Vector Machines
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
Qi Tian, Pengyu Hong, Thomas S. Huang
ICSE
2005
IEEE-ACM
14 years 7 months ago
An architects guide to enterprise application integration with J2EE and .NET
Architects are faced with the problem of building enterprise scale information systems, with streamlined, automated internal business processes and web-enabled business functions,...
Ian Gorton, Anna Liu