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Massimo Quadrana
Massimo Quadrana
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Title
Cited by
Cited by
Year
Personalizing session-based recommendations with hierarchical recurrent neural networks
M Quadrana, A Karatzoglou, B Hidasi, P Cremonesi
proceedings of the Eleventh ACM Conference on Recommender Systems, 130-137, 2017
7452017
Sequence-aware recommender systems
M Quadrana, P Cremonesi, D Jannach
ACM computing surveys (CSUR) 51 (4), 1-36, 2018
5482018
Parallel recurrent neural network architectures for feature-rich session-based recommendations
B Hidasi, M Quadrana, A Karatzoglou, D Tikk
Proceedings of the 10th ACM conference on recommender systems, 241-248, 2016
5482016
Content-based video recommendation system based on stylistic visual features
Y Deldjoo, M Elahi, P Cremonesi, F Garzotto, P Piazzolla, M Quadrana
Journal on Data Semantics 5, 99-113, 2016
2622016
Using visual features based on MPEG-7 and deep learning for movie recommendation
Y Deldjoo, M Elahi, M Quadrana, P Cremonesi
International journal of multimedia information retrieval 7, 207-219, 2018
852018
30Music Listening and Playlists Dataset.
R Turrin, M Quadrana, A Condorelli, R Pagano, P Cremonesi
RecSys Posters 75, 2015
682015
The contextual turn: From context-aware to context-driven recommender systems
R Pagano, P Cremonesi, M Larson, B Hidasi, D Tikk, A Karatzoglou, ...
Proceedings of the 10th ACM conference on recommender systems, 249-252, 2016
632016
Cross-domain recommendations without overlapping data: Myth or reality?
P Cremonesi, M Quadrana
Proceedings of the 8th ACM Conference on Recommender systems, 297-300, 2014
582014
Session-based recommender systems
D Jannach, M Quadrana, P Cremonesi
Recommender Systems Handbook, 301-334, 2022
252022
Order, context and popularity bias in next-song recommendations
A Vall, M Quadrana, M Schedl, G Widmer
International Journal of Multimedia Information Retrieval 8, 101-113, 2019
242019
The Importance of Song Context in Music Playlists.
A Vall, M Quadrana, M Schedl, G Widmer, P Cremonesi
RecSys Posters, 2017
202017
An efficient closed frequent itemset miner for the MOA stream mining system
M Quadrana, A Bifet, R Gavalda
AI Communications 28 (1), 143-158, 2015
182015
Recommending without short head
P Cremonesi, F Garzotto, R Pagano, M Quadrana
Proceedings of the 23rd International Conference on World Wide Web, 245-246, 2014
182014
Toward effective movie recommendations based on mise-en-scčne film styles
Y Deldjoo, M Elahi, M Quadrana, P Cremonesi, F Garzotto
Proceedings of the 11th Biannual Conference of the Italian SIGCHI Chapter …, 2015
172015
The effect of different video summarization models on the quality of video recommendation based on low-level visual features
Y Deldjoo, P Cremonesi, M Schedl, M Quadrana
Proceedings of the 15th International Workshop on Content-Based Multimedia …, 2017
152017
Deriving item features relevance from past user interactions
L Cella, S Cereda, M Quadrana, P Cremonesi
Proceedings of the 25th conference on user modeling, adaptation and …, 2017
142017
Multi-stack ensemble for job recommendation
T Carpi, M Edemanti, E Kamberoski, E Sacchi, P Cremonesi, R Pagano, ...
Proceedings of the Recommender Systems Challenge, 1-4, 2016
132016
Large scale music recommendation
R Turrin, A Condorelli, P Cremonesi, R Pagano, M Quadrana
Workshop on Large-Scale Recommender Systems (LSRS 2015) at ACM RecSys, 2015
122015
Evaluating top-n recommendations" when the best are gone"
P Cremonesi, F Garzotto, M Quadrana
Proceedings of the 7th ACM conference on Recommender systems, 339-342, 2013
122013
The importance of song context and song order in automated music playlist generation
A Vall, M Quadrana, M Schedl, G Widmer
arXiv preprint arXiv:1807.04690, 2018
102018
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