We present four new feature selection methods for ordinal regression and test them against four different baselines on two large datasets of product reviews.
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
Defining ontologies within the multimedia domain still remains a challenging task, due to the complexity of multimedia data and the related associated knowledge. In this paper, we...
Vincenzo Moscato, Antonio Penta, Fabio Persia, Ant...
Results diversification is an approach used in literature to cover the possible interpretations of the results produced by query evaluation. For diversifying search results we pr...
In this paper we present a general purpose solution to Web content perusal by means of mobile devices, named Social Context-Aware Browser. This is a novel approach for the informa...
In this paper we exploit Semantic Vectors to develop an IR system. The idea is to use semantic spaces built on terms and documents to overcome the problem of word ambiguity. Word ...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
Andrea Esuli, Diego Marcheggiani, Fabrizio Sebasti...
In this paper a user evaluation is proposed to assess the effectiveness of systems based on multidimensional relevance assessment. First of all, we introduce our approach to multi...
We discuss which are the main research themes in the field of search results clustering and report some recent results achieved by the Information Mining group at Fondazione Ugo B...
Claudio Carpineto, Andrea Bernardini, Massimiliano...
Thanks to the continuous growth of collaborative platforms like YouTube, Flickr and Delicious, we are recently witnessing to a rapid evolution of web dynamics towards a more `soci...
Cataldo Musto, Fedelucio Narducci, Marco de Gemmis...