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Since January 2018, I am a research assistant at Information Retrieval Laboratory of University of Milano Bicocca, Italy. I obtained my PhD (with distinction) from Politecnico di Milano under the lead of Paolo Cremonesi. My research interests include recommender systems and multimedia computing. During my PhD, I was a vistiting student at Johannes Kepler University Linz, Austria for six month and had the pleasure to work with Markus Schedl. I have been involved in organizing ACM RecSys Challenges 2017 (hosted by Xing) and the upcoming 2019 challenge (to be hosted by Trivago) all being part of the ACM Conference on Recommender Systems. I am also one of the lead organizers of tasks at MediaEval Benchmarking Initiative for Multimedia Evaluation (MediaEval) in 2018 and 2019 with the focus on leveraging content for recommendation [Content4RecSys]. To know more about my research activties, see my publication page.

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Nov 21, 2018The information about ACM Recommender System Challenge 2019 is now live!
Oct 12, 2018Our US PATENT application titled "Enhanced content-based multimedia recommendation method" has been just accepted! See publication page.
Oct 06, 2018The ACM RecSys Challenge 2019 will be co-organized by trivago and presents a real-world task in the travel metasearch domain. See RecSys Challenge 2019 homepage. Stay tuned for new information!
Sep 14, 2018Our Mediaeval 2018 task overview paper is now available. See publication page (Extended Abstracts/Workshops).
Sep 14, 2018Our paper at TKDE was accepted! The research was done in collobration with the bioinformatic group of Politecnico di Milano and George Washington univeristy. See publication page.
July 17, 2018Has now a PhD with DISTINCTION! (Italian: con lode, highest possible PhD grade.)
July 10, 2018My paper at RecSys 2018 accepted! See publication page.
June 16, 2018A brand-new tutorial accepted for presentation at RecSys 2018 on Multimedia
Recommender Systems! Visit RecSys 2018 Tutorial page.
June 7, 2018 Me, Peter Kness and Farshad Bakhshandegan Moghaddam will be the academic organizers of ACM Recommender System Challenge 2019, new information to come soon, stay tuned!