Recommender Systems course at Politecnico di Milano
This repository contains the materials provided to our students of the Recommender Systems course at Politecnico di Milano, 2018. The materials are accessible HERE.
Visit our lab page on ResearchGate, here.
- Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach. “Are we really making much progress? A worrying analysis of recent neural recommendation approaches”, RecSys 2019. **Best Long Paper Award** [BibTex] The full text is accessible on ACM Digital Library, ArXiv or ResearchGate, for the source code see the Github repository.
- Yashar Deldjoo, Maurizio Ferrari Dacrema, Mihai Gabriel Constantin, Hamid Eghbal-Zadeh, Stefano Cereda, Markus Schedl, Bogdan Ionescu, Paolo Cremonesi. “Movie Genome: Alleviating New Item Cold Start in Movie Recommendation”, UMUAI 2019. [BibTex] For the source code see the Github repository.