The amount of information available online is increasing exponentially. While this
information is a valuable resource, its sheer volume limits its value. Many research projects …

Abstract Recently, Artificial Intelligence techniques have proved useful inhelping users to
handle the large amount of information on the Internet. The idea of personalized search …

Recent studies have indicated that the application of Multi-Criteria Decision Making (MCDM)
methods in recommender systems has yet to be systematically explored. This observation …

This work describes the ifWeb system, a prototype of user model-based intelligent agent
capable of supporting the user in the navigation in the World Wide Web, the retrieval and …

Current digital libraries suffer from the information overload problem which prevents an
effective access to knowledge. This is particularly true for scientific digital libraries where a …

SiteIF is a personal agent for a bilingual news web site that learns user's interests from the
requested pages. In this paper we propose to use a content-based document representation …

The text recommendation task involves delivering sets of documents to users on the basis of
user models. These models are improved over time, given feedback on the delivered …

Personalized search is aimed at tailoring the search outcome to users; to this aim user
profiles play an important role: the more faithfully a user profile represents the user interests …

The growing size and complexity of WWW made evident the need to provide more flexible
mechanisms for delivering personalized information to the user. On the other side …

Fast networks enable the delivery of TV and newspaper content over an Internet connection.
This enables new types of integrated publications that include features from both media. The …