Seminario – “Personalised Recommendations for Context-Aware Suggestions” – Prof. Fabio Crestani (Universita’ della Svizzera Italiana – USI) – 29.06.2016

“Personalised Recommendations for Context-Aware Suggestions”

Wednesday 29 june 11:30-13:30,   Meeting Room of DIMES

Fabio Crestani
Universita’ della Svizzera Italiana (USI)
Switzerland


 

Abstract

The TREC Contextual Suggestion track addresses the problem of suggesting contextually relevant attractions to a user visiting a new city based on his/her preferences. In this talk I will reframe the problem of representing and using context and will introduce our two past approaches to capturing the user profile to enable a system to provide more accurate and relevant recommendations. The results of our participation in the 2013 and 2015 TREC tracks show that our system not only significantly outperforms the baselines method, but also performs better than any other runs submitted to that track, managing to achieve the best results in nearly all test contexts.

 

Biography

Fabio Crestani is a Full Professor at the Faculty of Informatics of the Universita’ della Svizzera Italiana (USI) in Lugano, Switzerland, since 2007. Previously he was a professor at the University of Strathclyde in Glasgow, UK.

Prof Crestani is an internationally recognised researcher in Information Retrieval, Text Mining and Digital Libraries. In these areas he has published over two hundred refereed papers on both theoretical and experimental investigations. He has also served in the program committee of several conferences and in the editorial board of several journals. Currently, he is one of the Program Committee Chairs of ECIR 2016 and CIKM 2016.