Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJoão Vinagre
Person information
- affiliation: INESC TEC, Portugal
- affiliation (Ph.D.): University of Porto, Porto, Portugal
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 2016
[b1]João Vinagre:
Scalable adaptive collaborative filtering. University of Porto, Portugal, 2016
Journal Articles
- 2023
- [j10]Paula Raissa Silva
, João Vinagre, João Gama:
Towards federated learning: An overview of methods and applications. WIREs Data. Mining. Knowl. Discov. 13(2) (2023) - 2022
- [j9]João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet, Paolo Cremonesi:
Preface to the special issue on dynamic recommender systems and user models. User Model. User Adapt. Interact. 32(4): 503-507 (2022) - 2021
- [j8]Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre:
Hyperparameter self-tuning for data streams. Inf. Fusion 76: 75-86 (2021) - [j7]Anna Gatzioura, João Vinagre, Alípio Mário Jorge, Miquel Sànchez-Marrè:
A Hybrid Recommender System for Improving Automatic Playlist Continuation. IEEE Trans. Knowl. Data Eng. 33(5): 1819-1830 (2021) - [j6]João Vinagre, Alípio Mário Jorge, Conceição Rocha, João Gama:
Statistically Robust Evaluation of Stream-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. 33(7): 2971-2982 (2021) - 2018
- [j5]João Vinagre, Alípio Mário Jorge, João Gama:
Online bagging for recommender systems. Expert Syst. J. Knowl. Eng. 35(4) (2018) - [j4]Pawel Matuszyk, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge, João Gama:
Forgetting techniques for stream-based matrix factorization in recommender systems. Knowl. Inf. Syst. 55(2): 275-304 (2018) - 2015
- [j3]João Vinagre, Alípio Mário Jorge, João Gama:
An overview on the exploitation of time in collaborative filtering. WIREs Data Mining Knowl. Discov. 5(5): 195-215 (2015) - 2013
- [j2]Marcos Aurélio Domingues, Fabien Gouyon, Alípio Mário Jorge, José Paulo Leal, João Vinagre, Luís Lemos, Mohamed Sordo:
Combining usage and content in an online recommendation system for music in the Long Tail. Int. J. Multim. Inf. Retr. 2(1): 3-13 (2013) - 2012
- [j1]João Vinagre, Alípio Mário Jorge:
Forgetting mechanisms for scalable collaborative filtering. J. Braz. Comput. Soc. 18(4): 271-282 (2012)
Conference and Workshop Papers
- 2023
- [c27]Duarte Melo, Jessica C. Delmoral, João Vinagre:
Mining Causal Links Between TV Sports Content and Real-World Data. EPIA (1) 2023: 263-274 - [c26]Rui Ramos, Lino Oliveira, João Vinagre:
Hybrid SkipAwareRec: A Streaming Music Recommendation System. EPIA (1) 2023: 275-287 - [c25]André Tse, Lino Oliveira, João Vinagre:
Measuring Latency-Accuracy Trade-Offs in Convolutional Neural Networks. EPIA (1) 2023: 323-334 - [c24]Lorenzo Porcaro, Carlos Castillo, Emilia Gómez, João Vinagre:
Fairness and Diversity in Information Access Systems. EWAF 2023 - [c23]João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet:
ORSUM 2023 - 6th Workshop on Online Recommender Systems and User Modeling. RecSys 2023: 1272-1273 - [c22]Paula Raissa Silva, João Vinagre, João Gama:
A DTW Approach for Complex Data A Case Study with Network Data Streams. SAC 2023: 402-409 - 2022
- [c21]João Parente, Ana Nunes Alonso, Fábio Coelho, João Vinagre, Paulo Bastos:
Flexible Fine-grained Data Access Management for Hyperledger Fabric. BCCA 2022: 76-84 - [c20]Daniela Lopes, Pedro Medeiros, Jin-Dong Dong, Diogo Barradas, Bernardo Portela, João Vinagre, Bernardo Ferreira, Nicolas Christin, Nuno Santos:
Poster: User Sessions on Tor Onion Services: Can Colluding ISPs Deanonymize Them at Scale? CCS 2022: 3399-3401 - [c19]Klismam Pereira, João Vinagre, Ana Nunes Alonso, Fábio Coelho, Melânia Carvalho:
Privacy-Preserving Machine Learning in Life Insurance Risk Prediction. PKDD/ECML Workshops (2) 2022: 44-52 - [c18]João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska:
ORSUM 2022 - 5th Workshop on Online Recommender Systems and User Modeling. RecSys 2022: 661-662 - 2021
- [c17]Joana Trindade, João Vinagre, Kelwin Fernandes, Nuno Paiva, Alípio Jorge:
Partially Monotonic Learning for Neural Networks. IDA 2021: 12-23 - [c16]João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet:
ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling. RecSys 2021: 792-793 - 2020
- [c15]João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet:
ORSUM - Workshop on Online Recommender Systems and User Modeling. RecSys 2020: 619-620 - 2019
- [c14]Miguel Sozinho Ramalho, João Vinagre, Alípio Mário Jorge, Rafaela Bastos:
Incremental Multi-Dimensional Recommender Systems: Co-Factorization vs Tensors. ORSUM@RecSys 2019: 21-35 - [c13]João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein:
ORSUM 2019 2nd workshop on online recommender systems and user modeling. RecSys 2019: 562-563 - 2018
- [c12]João Vinagre, Alípio Mário Jorge, João Gama:
Online Gradient Boosting for Incremental Recommender Systems. DS 2018: 209-223 - [c11]Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre:
Self Hyper-parameter Tuning for Stream Recommendation Algorithms. DMLE/IOTSTREAMING@PKDD/ECML 2018: 91-102 - [c10]Alípio Jorge, João Vinagre, Pawel Matuszyk, Myra Spiliopoulou:
ORSUM Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 1365-1366 - [c9]Susan C. Anyosa, João Vinagre, Alípio M. Jorge:
Incremental Matrix Co-factorization for Recommender Systems with Implicit Feedback. WWW (Companion Volume) 2018: 1413-1418 - 2017
- [c8]João Vinagre, Alípio Mário Jorge, João Gama:
Improving Incremental Recommenders with Online Bagging. EPIA 2017: 597-607 - 2016
- [c7]Alípio M. Jorge, João Vinagre, Marcos Aurélio Domingues, João Gama, Carlos Soares, Pawel Matuszyk, Myra Spiliopoulou:
Scalable Online Top-N Recommender Systems. EC-Web 2016: 3-20 - [c6]João Vinagre, Alípio Mário Jorge, João Gama:
Online Bagging for Recommendation with Incremental Matrix Factorization. STREAMEVOLV@ECML-PKDD 2016 - 2015
- [c5]Pawel Matuszyk, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge, João Gama:
Forgetting methods for incremental matrix factorization in recommender systems. SAC 2015: 947-953 - [c4]João Vinagre, Alípio Mário Jorge, João Gama:
Collaborative filtering with recency-based negative feedback. SAC 2015: 963-965 - 2014
- [c3]Catarina Félix, Carlos Soares, Alípio Jorge, João Vinagre:
Monitoring Recommender Systems: A Business Intelligence Approach. ICCSA (6) 2014: 277-288 - [c2]João Vinagre, Alípio Mário Jorge, João Gama:
Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback. UMAP 2014: 459-470 - 2012
- [c1]Marcos Aurélio Domingues, Fabien Gouyon, Alípio Mário Jorge, José Paulo Leal, João Vinagre, Luís Lemos, Mohamed Sordo:
Combining usage and content in an online music recommendation system for music in the long-tail. WWW (Companion Volume) 2012: 925-930
Editorship
- 2023
- [e4]João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet:
Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. CEUR Workshop Proceedings 3549, CEUR-WS.org 2023 [contents] - 2022
- [e3]João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska:
Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, ORSUM@RecSys 2022, Seattle, WA, USA, September 23rd, 2022. CEUR Workshop Proceedings 3303, CEUR-WS.org 2022 [contents] - 2020
- [e2]João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet:
Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), Virtual Event, September 25, 2020. CEUR Workshop Proceedings 2715, CEUR-WS.org 2020 [contents] - 2019
- [e1]João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein:
2nd Workshop on Online Recommender Systems and User Modeling, ORSUM@RecSys 2019, 19 September 2019, Copenhagen, Denmark. Proceedings of Machine Learning Research 109, PMLR 2019 [contents]
Informal and Other Publications
- 2023
- [i8]Lorenzo Porcaro, Carlos Castillo, Emilia Gómez, João Vinagre:
Fairness and Diversity in Information Access Systems. CoRR abs/2305.09319 (2023) - [i7]Lorenzo Porcaro, João Vinagre, Pedro Frau, Isabelle Hupont, Emilia Gómez:
Behind Recommender Systems: the Geography of the ACM RecSys Community. CoRR abs/2309.03512 (2023) - 2022
- [i6]João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet:
Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling - ORSUM 2021. CoRR abs/2201.05156 (2022) - [i5]Paula Raissa Silva, João Vinagre, João Gama:
Federated Anomaly Detection over Distributed Data Streams. CoRR abs/2205.07829 (2022) - 2021
- [i4]Pedro Costa, Vítor Cerqueira, João Vinagre:
AutoFITS: Automatic Feature Engineering for Irregular Time Series. CoRR abs/2112.14806 (2021) - 2016
- [i3]João Vinagre, Alípio Mário Jorge, João Gama:
Online bagging for recommendation with incremental matrix factorization. CoRR abs/1611.00558 (2016) - [i2]Nuno Moniz, Luís Torgo, João Vinagre:
Data-Driven Relevance Judgments for Ranking Evaluation. CoRR abs/1612.06136 (2016) - 2015
- [i1]João Vinagre, Alípio Mário Jorge, João Gama:
Evaluation of recommender systems in streaming environments. CoRR abs/1504.08175 (2015)
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 2024-04-24 23:00 CEST 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:
