There are case-based recommender systems that generate personalized recommendations for users exploiting the knowledge contained in past recommendation cases. These systems assume ...
The aim of this study is to present a contribution in the area of human decision modeling. A state of the art from this research area shows the lack of models combining perceptive...
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
Connectivity is central to pervasive computing environments. We seek to catalyze a world of rich and diverse connectivity through technologies that drastically simplify the task o...
George Lee, Peyman Faratin, Steven Bauer, John Wro...
In a categorized information space, predicting users' information needs at the category level can facilitate personalization, caching and other topic-oriented services. This ...