Evaluating top-n recommendations "when the best are gone". - Paolo Cremonesi; Franca Garzotto; Massimo Quadrana (RecSys, 2013)

Cross-domain recommendations without overlapping data: myth or reality? - Paolo Cremonesi; Massimo Quadrana (RecSys, 2014)

Recommending without short head. - Paolo Cremonesi; Franca Garzotto; Roberto Pagano; Massimo Quadrana (WWW (Companion Volume), 2014)

Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles. - Yashar Deldjoo; Mehdi Elahi; Massimo Quadrana; Paolo Cremonesi; Franca Garzotto (CHItaly, 2015)

Toward Building a Content-Based Video Recommendation System Based on Low-Level Features. - Yashar Deldjoo; Mehdi Elahi; Massimo Quadrana; Paolo Cremonesi (EC-Web, 2015)

30Music Listening and Playlists Dataset. - Roberto Turrin; Massimo Quadrana; Andrea Condorelli; Roberto Pagano; Paolo Cremonesi (RecSys Posters, 2015)

An efficient closed frequent itemset miner for the MOA stream mining system. - Massimo Quadrana; Albert Bifet; Ricard Gavaldà (AI Commun., 2015)

Multi-stack ensemble for job recommendation. - Tommaso Carpi; Marco Edemanti; Ervin Kamberoski; Elena Sacchi; Paolo Cremonesi; Roberto Pagano; Massimo Quadrana (RecSys Challenge, 2016)

Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. - Balázs Hidasi; Massimo Quadrana; Alexandros Karatzoglou; Domonkos Tikk (RecSys, 2016)

The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. - Roberto Pagano; Paolo Cremonesi; Martha A. Larson; Balázs Hidasi; Domonkos Tikk; Alexandros Karatzoglou; Massimo Quadrana (RecSys, 2016)

Content-Based Video Recommendation System Based on Stylistic Visual Features. - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi; Franca Garzotto; Pietro Piazzolla; Massimo Quadrana (J. Data Semant., 2016)

The effect of different video summarization models on the quality of video recommendation based on low-level visual features. - Yashar Deldjoo; Paolo Cremonesi; Markus Schedl; Massimo Quadrana (CBMI, 2017)

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. - Massimo Quadrana; Alexandros Karatzoglou; Balázs Hidasi; Paolo Cremonesi (RecSys, 2017)

The Importance of Song Context in Music Playlists. - Andreu Vall; Massimo Quadrana; Markus Schedl; Gerhard Widmer; Paolo Cremonesi (RecSys Posters, 2017)

Deriving Item Features Relevance from Past User Interactions. - Leonardo Cella; Stefano Cereda; Massimo Quadrana; Paolo Cremonesi (UMAP, 2017)

Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation. - Yashar Deldjoo; Massimo Quadrana; Mehdi Elahi; Paolo Cremonesi (CoRR, 2017)

Toward Active Learning in Cross-domain Recommender Systems. - Roberto Pagano; Massimo Quadrana; Mehdi Elahi; Paolo Cremonesi (CoRR, 2017)

Algorithms for Sequence-Aware Recommender Systems. - Massimo Quadrana (2017)

Sequence-aware recommendation. - Massimo Quadrana; Paolo Cremonesi (RecSys, 2018)

Modeling Musical Taste Evolution with Recurrent Neural Networks. - Massimo Quadrana; Marta Reznáková; Tao Ye 001; Erik Schmidt; Hossein Vahabi (CoRR, 2018)

The Importance of Song Context and Song Order in Automated Music Playlist Generation. - Andreu Vall; Massimo Quadrana; Markus Schedl; Gerhard Widmer (CoRR, 2018)

Sequence-Aware Recommender Systems. - Massimo Quadrana; Paolo Cremonesi; Dietmar Jannach (ACM Comput. Surv., 2018)

Using visual features based on MPEG-7 and deep learning for movie recommendation. - Yashar Deldjoo; Mehdi Elahi; Massimo Quadrana; Paolo Cremonesi (Int. J. Multim. Inf. Retr., 2018)

Tutorial: Sequence-Aware Recommender Systems. - Massimo Quadrana; Dietmar Jannach; Paolo Cremonesi (WWW (Companion Volume), 2019)

Order, context and popularity bias in next-song recommendations. - Andreu Vall; Massimo Quadrana; Markus Schedl; Gerhard Widmer (Int. J. Multim. Inf. Retr., 2019)

Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations. - Andres Ferraro; Sergio Oramas; Massimo Quadrana; Xavier Serra (ComplexRec-ImpactRS@RecSys, 2020)

Bootstrapping a Music Voice Assistant with Weak Supervision. - Sergio Oramas; Massimo Quadrana; Fabien Gouyon (NAACL-HLT (Industry Papers), 2021)

Multi-objective Hyper-parameter Optimization of Behavioral Song Embeddings. - Massimo Quadrana; Antoine Larreche-Mouly; Matthias Mauch (ISMIR, 2022)

From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain. - Cesare Bernardis; Maurizio Ferrari Dacrema; Fernando Benjamín Pérez Maurera; Massimo Quadrana; Mario Scriminaci; Paolo Cremonesi (IEEE Access, 2022)

Session-Based Recommender Systems. - Dietmar Jannach; Massimo Quadrana; Paolo Cremonesi (Recommender Systems Handbook, 2022)

MuRS: Music Recommender Systems Workshop. - Andres Ferraro; Peter Knees; Massimo Quadrana; Tao Ye 001; Fabien Gouyon (RecSys, 2023)