Massimo Quadrana

36 papers A 9C 1Journal 13Unranked 11

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	MuRS: Music Recommender Systems Workshop. RecSys Andres Ferraro, Peter Knees, Massimo Quadrana, Tao Ye, Fabien Gouyon
2022	J	`jnl`	From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain. IEEE Access Cesare Bernardis, Maurizio Ferrari Dacrema, Fernando Benjamín Pérez Maurera, Massimo Quadrana, Mario Scriminaci, Paolo Cremonesi
2022	—	`conf`	Multi-objective Hyper-parameter Optimization of Behavioral Song Embeddings. ISMIR Massimo Quadrana, Antoine Larreche-Mouly, Matthias Mauch
2022	J	`jnl`	Multi-objective Hyper-parameter Optimization of Behavioral Song Embeddings. CoRR Massimo Quadrana, Antoine Larreche-Mouly, Matthias Mauch
2022	—	`ch.`	Session-Based Recommender Systems. Recommender Systems Handbook Dietmar Jannach, Massimo Quadrana, Paolo Cremonesi
2021	—	`conf`	Bootstrapping a Music Voice Assistant with Weak Supervision. NAACL-HLT (Industry Papers) Sergio Oramas, Massimo Quadrana, Fabien Gouyon
2020	—	`conf`	Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations. ComplexRec-ImpactRS@RecSys Andres Ferraro, Sergio Oramas, Massimo Quadrana, Xavier Serra
2019	J	`jnl`	Order, context and popularity bias in next-song recommendations. Int. J. Multim. Inf. Retr. Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer
2019	—	`conf`	Tutorial: Sequence-Aware Recommender Systems. WWW (Companion Volume) Massimo Quadrana, Dietmar Jannach, Paolo Cremonesi
2018	J	`jnl`	Modeling Musical Taste Evolution with Recurrent Neural Networks. CoRR Massimo Quadrana, Marta Reznáková, Tao Ye, Erik Schmidt, Hossein Vahabi
2018	J	`jnl`	Sequence-Aware Recommender Systems. CoRR Massimo Quadrana, Paolo Cremonesi, Dietmar Jannach
2018	J	`jnl`	Sequence-Aware Recommender Systems. ACM Comput. Surv. Massimo Quadrana, Paolo Cremonesi, Dietmar Jannach
2018	A	`conf`	Sequence-aware Recommender Systems. UMAP Massimo Quadrana, Paolo Cremonesi, Dietmar Jannach
2018	A	`conf`	Sequence-aware recommendation. RecSys Massimo Quadrana, Paolo Cremonesi
2018	J	`jnl`	The Importance of Song Context and Song Order in Automated Music Playlist Generation. CoRR Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer
2018	J	`jnl`	Using visual features based on MPEG-7 and deep learning for movie recommendation. Int. J. Multim. Inf. Retr. Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi
2017	—	`—`	Algorithms for Sequence-Aware Recommender Systems. Massimo Quadrana
2017	A	`conf`	Deriving Item Features Relevance from Past User Interactions. UMAP Leonardo Cella, Stefano Cereda, Massimo Quadrana, Paolo Cremonesi
2017	A	`conf`	Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. RecSys Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi
2017	J	`jnl`	Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. CoRR Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi
2017	—	`conf`	The Importance of Song Context in Music Playlists. RecSys Posters Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer, Paolo Cremonesi
2017	C	`conf`	The effect of different video summarization models on the quality of video recommendation based on low-level visual features. CBMI Yashar Deldjoo, Paolo Cremonesi, Markus Schedl, Massimo Quadrana
2017	J	`jnl`	Toward Active Learning in Cross-domain Recommender Systems. CoRR Roberto Pagano, Massimo Quadrana, Mehdi Elahi, Paolo Cremonesi
2017	J	`jnl`	Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation. CoRR Yashar Deldjoo, Massimo Quadrana, Mehdi Elahi, Paolo Cremonesi
2016	J	`jnl`	Content-Based Video Recommendation System Based on Stylistic Visual Features. J. Data Semant. Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Franca Garzotto, Pietro Piazzolla, Massimo Quadrana
2016	—	`conf`	Multi-stack ensemble for job recommendation. RecSys Challenge Tommaso Carpi, Marco Edemanti, Ervin Kamberoski, Elena Sacchi, Paolo Cremonesi, Roberto Pagano, Massimo Quadrana
2016	A	`conf`	Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. RecSys Balázs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk
2016	A	`conf`	The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. RecSys Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balázs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana
2015	—	`conf`	30Music Listening and Playlists Dataset. RecSys Posters Roberto Turrin, Massimo Quadrana, Andrea Condorelli, Roberto Pagano, Paolo Cremonesi
2015	J	`jnl`	An efficient closed frequent itemset miner for the MOA stream mining system. AI Commun. Massimo Quadrana, Albert Bifet, Ricard Gavaldà
2015	—	`conf`	Toward Building a Content-Based Video Recommendation System Based on Low-Level Features. EC-Web Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi
2015	—	`conf`	Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles. CHItaly Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi, Franca Garzotto
2014	A	`conf`	Cross-domain recommendations without overlapping data: myth or reality? RecSys Paolo Cremonesi, Massimo Quadrana
2014	—	`conf`	Recommending without short head. WWW (Companion Volume) Paolo Cremonesi, Franca Garzotto, Roberto Pagano, Massimo Quadrana
2013	—	`conf`	An Efficient Closed Frequent Itemset Miner for the Moa Stream Mining System. CCIA Massimo Quadrana, Albert Bifet, Ricard Gavaldà
2013	A	`conf`	Evaluating top-n recommendations "when the best are gone". RecSys Paolo Cremonesi, Franca Garzotto, Massimo Quadrana