I completed my Ph.D. within the field of Computer Science with specialization on Recommender System at Politecnico di Milano under the supervision of Prof. Paolo Cremonesi. During my Ph.D., I was an exchange student at Department of Computational Perception, JKU in Linz, Austria for six months, under the supervision of Prof. Markus Schedl. I was involved in organizing ACM RecSys Challenges 2017 with together with Xing (the European career-oriented social networking company) and RecSys Challenges 2018 with Spotify (the global music, podcast, and video streaming service provider) as part of the ACM Conference on Recommender Systems. I am also leading organizing a task at MediaEval Benchmarking Initiative for Multimedia Evaluation (MediaEval 2018) named: “The 2018 Recommending Movies Using Content: Which content is key?”.
- Organizer: MediaEval 2018, ACM RecSys Challenge 2017, 2018
- Reviewer: ACM MM, CIKM, SIGIR, RECSYS, ECML-PKDD, IDC, IPMU
|Sep 14, 2018||Our 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, 2018||Has now a PhD title With Honour!|
|July 10, 2018||My paper at RecSys 2018 accepted! See publication page.|
|June 16, 2018||A 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!|