Publications

To find a comprehensive list of my publications please refer to Google Scholar or DBLP. Below a selection of significant articles I co-authored.

Costantino Carugno, Maurizio Ferrari Dacrema, Paolo Cremonesi. “Evaluating the job shop scheduling problem on a D-wave quantum annealer” (PDF open). Nature Scientific Reports 2022, 1, 12. [BibTex]
Maurizio Ferrari Dacrema, Nicolò Felicioni, and Paolo Cremonesi. “Offline evaluation of recommender systems in a user interface with multiple carousels” (PDF open). Frontiers Big Data, 5, 21 pages, 2022.
Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi. “Feature Selection for Recommender Systems with Quantum Computing” (PDF open). Entropy 2021, 23, 970. [BibTex]
Maurizio Ferrari Dacrema, Simone Boglio, Paolo Cremonesi, Dietmar Jannach. “A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research”, ACM TOIS 2021. (PDF open) [BibTex]
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** . (PDF open) [BibTex]
Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach. “Methodological Issues in Recommender Systems Research (Extended Abstract)”, IJCAI 2020. Invited Conference Paper . (PDF open) [BibTex]
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]