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» Predicting user interests from contextual information
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ICMB
2006
IEEE
138views Business» more  ICMB 2006»
15 years 3 months ago
me-Commerce: An Infrastructure for Personal Predictive Mobile Commerce
Given mobile phone penetration statistics and current mobile phone technical specifications, it is apparent that in developed countries, the majority of citizens carry not just mo...
Andreas Komninos, Peter Barrie, Julian Newman, Stu...
85
Voted
COOPIS
2004
IEEE
15 years 1 months ago
Learning Classifiers from Semantically Heterogeneous Data
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
Doina Caragea, Jyotishman Pathak, Vasant Honavar
57
Voted
AAAI
1996
14 years 11 months ago
Machine Learning of User Profiles: Representational Issues
As more information becomes available electronically, tools for finding information of interest to users becomes increasingly important. The goal of the research described here is...
Eric Bloedorn, Inderjeet Mani, T. Richard MacMilla...
IUI
2005
ACM
15 years 3 months ago
Improving proactive information systems
Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such ...
Daniel Billsus, David M. Hilbert, Dan Maynes-Aminz...
ICMI
2009
Springer
188views Biometrics» more  ICMI 2009»
14 years 7 months ago
Detecting user engagement with a robot companion using task and social interaction-based features
Affect sensitivity is of the utmost importance for a robot companion to be able to display socially intelligent behaviour, a key requirement for sustaining long-term interactions ...
Ginevra Castellano, André Pereira, Iolanda ...