Theo dõi
João Vinagre
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Fast incremental matrix factorization for recommendation with positive-only feedback
J Vinagre, AM Jorge, J Gama
User Modeling, Adaptation, and Personalization (UMAP 2014), 459-470, 2014
1202014
Combining usage and content in an online recommendation system for music in the long tail
MA Domingues, F Gouyon, AM Jorge, JP Leal, J Vinagre, L Lemos, ...
International Journal of Multimedia Information Retrieval 2, 3-13, 2013
792013
Evaluation of recommender systems in streaming environments
J Vinagre, AM Jorge, J Gama
ACM RecSys Workshop on Recommender Systems Evaluation: Dimensions and Design …, 2014
662014
Forgetting methods for incremental matrix factorization in recommender systems
P Matuszyk, J Vinagre, M Spiliopoulou, AM Jorge, J Gama
Proceedings of the 30th annual ACM symposium on applied computing, 947-953, 2015
582015
A Hybrid Recommender System for Improving Automatic Playlist Continuation
A Gatzioura, J Vinagre, AM Jorge, M Sànchez-Marrè
IEEE Transactions on Knowledge and Data Engineering 33 (5), 1819-1830, 2021
572021
An overview on the exploitation of time in collaborative filtering
J Vinagre, AM Jorge, J Gama
WIREs Data Mining Knowl Discov 5, 195-215, 2015
572015
Forgetting mechanisms for scalable collaborative filtering
J Vinagre, AM Jorge
Journal of the Brazilian Computer Society 18, 271-282, 2012
522012
Hyperparameter self-tuning for data streams
B Veloso, J Gama, B Malheiro, J Vinagre
Information Fusion 76, 75-86, 2021
432021
Forgetting techniques for stream-based matrix factorization in recommender systems
P Matuszyk, J Vinagre, M Spiliopoulou, AM Jorge, J Gama
Knowledge and Information Systems 55, 275-304, 2018
412018
Collaborative filtering with recency-based negative feedback
J Vinagre, AM Jorge, J Gama
Proceedings of the 30th annual ACM symposium on applied computing, 963-965, 2015
262015
Towards federated learning: An overview of methods and applications
PR Silva, J Vinagre, J Gama
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1486, 2023
252023
Incremental matrix co-factorization for recommender systems with implicit feedback
SC Anyosa, J Vinagre, AM Jorge
Companion Proceedings of the The Web Conference 2018, 1413-1418, 2018
252018
Online bagging for recommender systems
J Vinagre, AM Jorge, J Gama
Expert systems 35 (4), e12303, 2018
232018
Statistically robust evaluation of stream-based recommender systems
J Vinagre, AM Jorge, C Rocha, J Gama
IEEE Transactions on Knowledge and Data Engineering 33 (7), 2971 - 2982, 2021
202021
Combining usage and content in an online music recommendation system for music in the long-tail
MA Domingues, F Gouyon, AM Jorge, JP Leal, J Vinagre, L Lemos, ...
Proceedings of the 21st International Conference on World Wide Web, 925-930, 2012
152012
Scalable online top-n recommender systems
AM Jorge, J Vinagre, M Domingues, J Gama, C Soares, P Matuszyk, ...
E-Commerce and Web Technologies: 17th International Conference, EC-Web 2016 …, 2017
142017
ORSUM - Workshop on Online Recommender Systems and User Modeling
J Vinagre, AM Jorge, M Al-Ghossein, A Bifet
Fourteenth ACM Conference on Recommender Systems, 619-620, 2020
112020
Self hyper-parameter tuning for stream recommendation algorithms
B Veloso, J Gama, B Malheiro, J Vinagre
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
102018
Forgetting mechanisms for incremental collaborative filtering
J Vinagre, AM Jorge
III International Workshop on Web and Text Intelligence, 2010
82010
ORSUM Chairs' Welcome & Organization
A Jorge, J Vinagre, P Matuszyk, M Spiliopoulou
Companion Proceedings of the The Web Conference 2018, 1365-1366, 2018
72018
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