The emerging of ubiquitous computing technologies in recent years has given rise to a new
field of research consisting in incorporating context-aware preference querying facilities in …

Recent years have witnessed the rapid adoption of mobile devices and significant growth in
the use of mobile apps. However, the large number of mobile apps makes it difficult for users …

The tremendous growth of services available on the Internet makes user profiling an
increasing important topic in web personalization. While profiling a user, one of the main …

Conditional Preference Networks (CP-nets) have emerged as a prominent and intuitive
model for representing condi-tional preferences within the AI community. However, the …

There has been an explosion of social approaches that leverage recommender systems,
mainly to deal with cold start problems. However, most of the approaches are designed to …

Social recommender systems assume a social network among users and make
recommendations based on ratings of users that hold a relationship with a given user …

A requirement for a great user experience is to meet the exact needs for the usage of a
recommender system. Such systems need user's historical preferences to reasonably …

The traditional preference mining setting, referred to here as the batch setting, has been
widely studied in the literature in recent years. However, the dynamic nature of mining …

Different preference mining techniques designed to predict a preference order on objects
have been proposed in the literature, with very good accuracy results. In this paper, we …

In automated negotiations, a number of intelligent agents negotiate on behalf of their owners
regarding some issues in order to reach an agreement. These agents are typically …