default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMassimo Quadrana
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[c21]Andres Ferraro
, Peter Knees, Massimo Quadrana, Tao Ye, Fabien Gouyon:
MuRS: Music Recommender Systems Workshop. RecSys 2023: 1227-1230- 2022
- [j6]Cesare Bernardis, Maurizio Ferrari Dacrema, Fernando Benjamín Pérez Maurera, Massimo Quadrana, Mario Scriminaci, Paolo Cremonesi:
From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain. IEEE Access 10: 14779-14796 (2022) - [c20]Massimo Quadrana, Antoine Larreche-Mouly, Matthias Mauch:
Multi-objective Hyper-parameter Optimization of Behavioral Song Embeddings. ISMIR 2022: 437-445 - [r1]Dietmar Jannach, Massimo Quadrana, Paolo Cremonesi:
Session-Based Recommender Systems. Recommender Systems Handbook 2022: 301-334 - [i7]Massimo Quadrana, Antoine Larreche-Mouly, Matthias Mauch:
Multi-objective Hyper-parameter Optimization of Behavioral Song Embeddings. CoRR abs/2208.12724 (2022) - 2021
- [c19]Sergio Oramas, Massimo Quadrana, Fabien Gouyon:
Bootstrapping a Music Voice Assistant with Weak Supervision. NAACL-HLT (Industry Papers) 2021: 49-55 - 2020
- [c18]Andres Ferraro, Sergio Oramas, Massimo Quadrana, Xavier Serra:
Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations. ComplexRec-ImpactRS@RecSys 2020
2010 – 2019
- 2019
- [j5]Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer:
Order, context and popularity bias in next-song recommendations. Int. J. Multim. Inf. Retr. 8(2): 101-113 (2019) - [c17]Massimo Quadrana, Dietmar Jannach, Paolo Cremonesi:
Tutorial: Sequence-Aware Recommender Systems. WWW (Companion Volume) 2019: 1316 - 2018
- [j4]Massimo Quadrana, Paolo Cremonesi, Dietmar Jannach:
Sequence-Aware Recommender Systems. ACM Comput. Surv. 51(4): 66:1-66:36 (2018) - [j3]Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi:
Using visual features based on MPEG-7 and deep learning for movie recommendation. Int. J. Multim. Inf. Retr. 7(4): 207-219 (2018) - [c16]Massimo Quadrana, Paolo Cremonesi:
Sequence-aware recommendation. RecSys 2018: 539-540 - [c15]Massimo Quadrana, Paolo Cremonesi, Dietmar Jannach:
Sequence-aware Recommender Systems. UMAP 2018: 373-374 - [i6]Massimo Quadrana, Paolo Cremonesi, Dietmar Jannach:
Sequence-Aware Recommender Systems. CoRR abs/1802.08452 (2018) - [i5]Massimo Quadrana, Marta Reznáková, Tao Ye, Erik Schmidt, Hossein Vahabi:
Modeling Musical Taste Evolution with Recurrent Neural Networks. CoRR abs/1806.06535 (2018) - [i4]Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer:
The Importance of Song Context and Song Order in Automated Music Playlist Generation. CoRR abs/1807.04690 (2018) - 2017
- [b1]Massimo Quadrana:
Algorithms for Sequence-Aware Recommender Systems. Polytechnic University of Milan, Italy, 2017 - [c14]Yashar Deldjoo, Paolo Cremonesi, Markus Schedl, Massimo Quadrana:
The effect of different video summarization models on the quality of video recommendation based on low-level visual features. CBMI 2017: 20:1-20:6 - [c13]Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi:
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. RecSys 2017: 130-137 - [c12]Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer, Paolo Cremonesi:
The Importance of Song Context in Music Playlists. RecSys Posters 2017 - [c11]Leonardo Cella, Stefano Cereda, Massimo Quadrana, Paolo Cremonesi:
Deriving Item Features Relevance from Past User Interactions. UMAP 2017: 275-279 - [i3]Roberto Pagano, Massimo Quadrana, Mehdi Elahi, Paolo Cremonesi:
Toward Active Learning in Cross-domain Recommender Systems. CoRR abs/1701.02021 (2017) - [i2]Yashar Deldjoo, Massimo Quadrana, Mehdi Elahi, Paolo Cremonesi:
Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation. CoRR abs/1704.06109 (2017) - [i1]Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi:
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. CoRR abs/1706.04148 (2017) - 2016
- [j2]Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Franca Garzotto, Pietro Piazzolla, Massimo Quadrana:
Content-Based Video Recommendation System Based on Stylistic Visual Features. J. Data Semant. 5(2): 99-113 (2016) - [c10]Tommaso Carpi, Marco Edemanti, Ervin Kamberoski, Elena Sacchi, Paolo Cremonesi, Roberto Pagano, Massimo Quadrana:
Multi-stack ensemble for job recommendation. RecSys Challenge 2016: 8:1-8:4 - [c9]Balázs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk:
Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. RecSys 2016: 241-248 - [c8]Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balázs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana:
The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. RecSys 2016: 249-252 - 2015
- [j1]Massimo Quadrana, Albert Bifet, Ricard Gavaldà:
An efficient closed frequent itemset miner for the MOA stream mining system. AI Commun. 28(1): 143-158 (2015) - [c7]Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi, Franca Garzotto:
Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles. CHItaly 2015: 162-165 - [c6]Yashar Deldjoo, Mehdi Elahi, Massimo Quadrana, Paolo Cremonesi:
Toward Building a Content-Based Video Recommendation System Based on Low-Level Features. EC-Web 2015: 45-56 - [c5]Roberto Turrin, Massimo Quadrana, Andrea Condorelli, Roberto Pagano, Paolo Cremonesi:
30Music Listening and Playlists Dataset. RecSys Posters 2015 - 2014
- [c4]Paolo Cremonesi, Massimo Quadrana:
Cross-domain recommendations without overlapping data: myth or reality? RecSys 2014: 297-300 - [c3]Paolo Cremonesi, Franca Garzotto, Roberto Pagano, Massimo Quadrana:
Recommending without short head. WWW (Companion Volume) 2014: 245-246 - 2013
- [c2]Massimo Quadrana, Albert Bifet, Ricard Gavaldà:
An Efficient Closed Frequent Itemset Miner for the Moa Stream Mining System. CCIA 2013: 203-212 - [c1]Paolo Cremonesi, Franca Garzotto, Massimo Quadrana:
Evaluating top-n recommendations "when the best are gone". RecSys 2013: 339-342
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-21 00:16 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
