João Vinagre
João Vinagre
LIAAD - INESC TEC and FCUP
Verified email at inesctec.pt - Homepage
TitleCited byYear
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
572014
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 (1), 3-13, 2013
442013
Evaluation of recommender systems in streaming environments
J Vinagre, AM Jorge, J Gama
ACM RecSys Workshop on Recommender Systems Evaluation: Dimensions and Design …, 2014
312014
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
272015
Forgetting mechanisms for scalable collaborative filtering
J Vinagre, AM Jorge
Journal of the Brazilian Computer Society 18 (4), 271, 2012
242012
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
172015
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
92015
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
92012
Monitoring recommender systems: A business intelligence approach
C Félix, C Soares, A Jorge, J Vinagre
International Conference on Computational Science and Its Applications, 277-288, 2014
72014
Forgetting mechanisms for incremental collaborative filtering
J Vinagre, AM Jorge
III International Workshop on Web and Text Intelligence, 2010
72010
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 (2), 275-304, 2018
62018
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
52018
Online bagging for recommender systems
J Vinagre, AM Jorge, J Gama
Expert Systems 35 (4), e12303, 2018
42018
Scalable online top-N recommender systems
AM Jorge, J Vinagre, M Domingues, J Gama, C Soares, P Matuszyk, ...
International Conference on Electronic Commerce and Web Technologies, 3-20, 2016
22016
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, 2019
2019
Incremental multi-dimensional recommender systems: co-factorization vs tensors
MS Ramalho, J Vinagre, AM Jorge, R Bastos
2nd Workshop on Online Recommender Systems and User Modeling, 21-35, 2019
2019
ORSUM 2019 2nd workshop on online recommender systems and user modeling
J Vinagre, AM Jorge, A Bifet, M Al-Ghossein
Proceedings of the 13th ACM Conference on Recommender Systems, 562-563, 2019
2019
Online Gradient Boosting for Incremental Recommender Systems
J Vinagre, AM Jorge, J Gama
Proceedings of the 21st International Conference on Discovery Science (DS …, 2018
2018
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
2018
ORSUM Chairs' Welcome & Organization
A Jorge, J Vinagre, P Matuszyk, M Spiliopoulou
Companion Proceedings of the The Web Conference 2018, 1365-1366, 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–20