In order to personalize Web-based tasks, personal agents rely on representations of user interests and preferences contained in user profiles. In consequence, a critical component for these agents is their capacity to ...

In a worldwide context, space heating is the largest energy consumer in commercial buildings, it accounts for 35% of the total energy consumed in the US. Energy efficient thermostats, that learn occupancy patterns and user ...

User profiling is an important aspect of recommender systems. It models users' preferences and is used to assess an item's relevance to a particular user. In this paper we propose a profiling approach which describes and ...

To provide personalized assistance to users, interface agents have to learn not only a user's preferences and interests with respect to a software application, but also when and how the user prefers to be assisted. Interface ...

Augmented Reality (AR) applications running on mobile devices have become more popular in recent years. As with digital games, many developers have begun to direct their applications to mobile platforms, although the ...

In this paper, we present a novel approach to perform similarity queries over medical images, maintaining the semantics of a given query posted by the user. Content-based image retrieval systems relying on relevance feedback ...

Making queries to a database system through a computer application can become a repetitive and time-consuming task for those users who generally make similar queries to get the information they need to work with. We believe ...