The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
We present iTag, a personalized tag recommendation system for blogs. iTag improves on the state-of-the-art in tag recommendation systems in two ways. First, iTag has much higher p...
We propose a novel approach to find aliases of a given name from the web. We exploit a set of known names and their aliases as training data and extract lexical patterns that conv...
Conversational recommender systems support human-computer interaction strategies in order to assist online tourists in the important activity of dynamic packaging, i.e., in buildi...
This paper introduces a methodology to improve the accessibility of websites with the use of free so-called automatic tools. The methodology has three iterative phases, namely ass...