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...
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
This paper deals with preference representation and elicitation in the context of multiattribute utility theory under risk. Assuming the decision maker behaves according to the EU...
The Platform for Privacy Preferences (P3P) provides a standard computer-readable format for privacy policies and a protocol that enables web browsers to read and process these pol...
Simon Byers, Lorrie Faith Cranor, David P. Kormann
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...