Fabio Gasparetti

Currently Post Doctoral student at the AI Lab of ROMA TRE University. He got his PhD in 2005 doing research on Adaptive Web Search. He joined the IST lab at Xerox PARC in 2004 for a 6-month research activity on projects related to personalization and web crawling.

He has collaborated and is still collaborating in National and International research projects regarding Internet technologies.

He was one of the authors of the book: The Adaptive Web Methods and Strategies of Web Personalization.

He has been reviewer of well established International Journals and stably involved in technical program committees of relevant conferences.

His research interests include:

  • User Modeling and User Adapted Interaction
  • Recommender Systems and Context-awareness
  • Social Web
  • Adaptive Focused Crawling

Curriculum Vitae PDF, HTML

 

Courses currently taught

  • See Academics website of Engineering Department

 

Selected Publications (most recents on dblpresearchgate, google scholar)

  • DAVIDE FELTONI GURINI, FABIO GASPARETTI, ALESSANDRO MICARELLI AND GIUSEPPE SANSONETTI. A Sentiment-based Approach to Twitter  User Recommendation. Proc. of the 5th ACM RecSys workshop on Recommender systems and the social web (RSWEB 2013) (PDFBibtex, ©ACM, 2013. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version will be published in ACM DL)
  • GIULIANO ARRU, DAVIDE FELTONI GURINI, FABIO GASPARETTI, ALESSANDRO MICARELLI AND GIUSEPPE SANSONETTI. Signal-Based User Recommendation on Twitter. Proc. 4th International Workshop on Social Recommender Systems (SRS 2013) (PDFBibtex)
  • FELTONI GURINI D., GASPARETTI F.. TREC Microblog 2012 Track: Real-Time Algorithm for Microblog Ranking Systems. Proc. of The 21st Text REtrieval Conference, TREC 2012, Gaithersburg, Maryland, November 6-9, 2012 (PDF, Bibtex)
  • BIANCALANA C., GASPARETTI F., MICARELLI A., SANSONETTI G.. Social Semantic Query Expansion. ACM Transactions on Intelligent Systems and Technology (TIST), 2013, Vol. 4, No. 4 (PDF,Bibtex, ©ACM, 2013. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version will be published in ACM DL)
  • BIANCALANA C., GASPARETTI F., MICARELLI A., SANSONETTI G.. An Approach to Social Recommendation for Context-Aware Mobile Services. ACM Transactions on Intelligent Systems and Technology (TIST), 2013, Vol. 4, No. 1 (PDF, DOI,Bibtex, ©ACM, 2012. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version will be published in ACM DL)
  • BIANCALANA C., GASPARETTI F., MICARELLI A., MIOLA A., SANSONETTI G.. Enhancing Query Expansion through Folksonomies and Semantic Classes. Proceedings of the 2012 International Conference on and 2012 International Confernece on Social Computing (SocialCom), Amsterdam, The Netherlands, September 3-5, 2012, pp.611-616. (PDF,DOI,Bibtex)
  • BIANCALANA C., GASPARETTI F., MICARELLI A., MIOLA A., SANSONETTI G.. Context-aware Movie Recommendation based on Signal Processing and Machine Learning, Proceedings of the Workshop on Context-Aware Movie Recommendation (CAMRa 2011), at the 5th ACM Conference on Recommender Systems (RecSys 2011), pp.5-10, October 23-27, 2011. (ACM, 2011. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CAMRa ’11 Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation 2011 DOIPDFBibtex
  • BIANCALANA C., FLAMINI A., GASPARETTI F., MICARELLI A., MILLEVOLTE S., SANSONETTI G.. Enhancing Traditional Local Search Recommendations with Context-Awareness. User Modeling, Adaption and Personalization. Lecture Notes in Computer Science, 2011, Volume 6787/2011, pp335-340 (Preprint PDF, The original publication is available at www.springerlink.com).Bibtex.
  • MICARELLI A., GASPARETTI F.. Adaptive Focused Crawling. In Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.): The Adaptive Web: Methods and Strategies of Web Personalization. Volume 4321 of Lecture Notes in Computer Science, pp.231-262, Springer-Verlag, Berlin Heidelberg New York, ISBN: 978-3-540-72078-2, 2007 (Preprint PDF, The original publication is available at www.springerlink.com) Bibtex.
  • MICARELLI A., GASPARETTI F., SCIARRONE F., GAUCH S.. Personalized Search on the World Wide Web. In Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.): The Adaptive Web: Methods and Strategies of Web Personalization. Volume 4321 of Lecture Notes in Computer Sciente, pp.195-230, Springer-Verlag, Berlin Heidelberg New York, ISBN: 978-3-540-72078-2, 2007 (Preprint PDF, The original publication is available at www.springerlink.com) Bibtex

(see all)

 

Contacts

Office Address:

Department of Engineering
Artificial Intelligence Laboratory
Roma Tre University
Via della Vasca Navale 79, I – 00146 Rome, Italy

Voice:+39 06 5733 3212
Fax:+39 06 5733 3612
Mobile Ext.: 81066
Room: DIA 207
Office Hours (students): on appointment

e-Mail: gaspare@ing.uniroma3.it

Twitter: FabGasparetti
Google Hangouts f.gasparetti@gmail.com
Skype (upon request)
LinkedIn: profile

Created