Recommender systems have the effect of guiding users in a personalized way to interesting
objects in a large space of possible options. Content-based recommendation systems try to …

Abstract Web Data Extraction is an important problem that has been studied by means of
different scientific tools and in a broad range of applications. Many approaches to extracting …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

In this age of information overload, people use a variety of strategies to make choices about
what to buy, how to spend their leisure time, and even whom to date. Recommender …

The World Wide Web is moving from a Web of hyper-linked Documents to a Web of linked
Data. Thanks to the Semantic Web spread and to the more recent Linked Open Data (LOD) …

Movie recommendation in mobile environment is critically important for mobile users. It
carries out comprehensive aggregation of user's preferences, reviews, and emotions to help …

Recommender systems are firmly established as a standard technology for assisting users
with their choices; however, little attention has been paid to the application of the user model …

In the past decade, Social Tagging Systems have attracted increasing attention from both
physical and computer science communities. Besides the underlying structure and dynamics …

We explore a novel ontological approach to user profiling within recommender systems,
working on the problem of recommending on-line academic research papers. Our two …

Social tagging systems have grown in popularity over the Web in the last years on account
of their simplicity to categorize and retrieve content using open-ended tags. The increasing …