41
TITLE: Scalable Online Top-N Recommender Systems
AUTHORS: Alipio M Jorge ; Joao Vinagre ; Marcos Domingues; Joao Gama ; Carlos Soares ; Pawel Matuszyk; Myra Spiliopoulou;
PUBLISHED: 2017, SOURCE: 17th International Conference on E-Commerce and Web Technologies (EC-Web) in E-COMMERCE AND WEB TECHNOLOGIES, EC-WEB 2016, VOLUME: 278
INDEXED IN: Scopus WOS DBLP CrossRef: 6
42
TITLE: Data-Driven Relevance Judgments for Ranking Evaluation PDF
AUTHORS: Nuno Moniz ; Luís Torgo ; João Vinagre ;
PUBLISHED: 2016, SOURCE: CoRR, VOLUME: abs/1612.06136
INDEXED IN: DBLP arXiv
IN MY: ORCID | DBLP
43
TITLE: Online Bagging for Recommendation with Incremental Matrix Factorization PDF
AUTHORS: João Vinagre ; Alípio Mário Jorge ; João Gama ;
PUBLISHED: 2016, SOURCE: 2016 Workshop on Large-Scale Learning from Data Streams in Evolving Environments, STREAMEVOLV 2016 in Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), Riva del Garda, Italy, September 23, 2016., VOLUME: 2069
INDEXED IN: Scopus DBLP
44
TITLE: Scalable adaptive collaborative filtering
AUTHORS: João Vinagre ;
PUBLISHED: 2016
INDEXED IN: DBLP
45
TITLE: An overview on the exploitation of time in collaborative filtering. Exploiting time in collaborative filtering  Full Text
AUTHORS: Joao Vinagre ; Alipio Mario Jorge ; Joao Gama ;
PUBLISHED: 2015, SOURCE: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, VOLUME: 5, ISSUE: 5
INDEXED IN: Scopus WOS DBLP CrossRef: 25
46
TITLE: Collaborative filtering with recency-based negative feedback
AUTHORS: Joao Vinagre ; Alipio Mario Jorge ; Joao Gama ;
PUBLISHED: 2015, SOURCE: 30th ACM Symposium on Applied Computing (SAC) in 30TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, VOLS I AND II, VOLUME: 13-17-April-2015
INDEXED IN: Scopus WOS DBLP CrossRef: 9
47
TITLE: Evaluation of recommender systems in streaming environments PDF
AUTHORS: João Vinagre ; Alípio Mário Jorge ; João Gama ;
PUBLISHED: 2015, SOURCE: CoRR, VOLUME: abs/1504.08175
INDEXED IN: DBLP arXiv
48
TITLE: Forgetting Methods for Incremental Matrix Factorization in Recommender Systems
AUTHORS: Pawel Matuszyk; Joao Vinagre ; Myra Spiliopoulou; Alipio Mario Jorge ; Joao Gama ;
PUBLISHED: 2015, SOURCE: 30th ACM Symposium on Applied Computing (SAC) in 30TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, VOLS I AND II, VOLUME: 13-17-April-2015
INDEXED IN: Scopus WOS DBLP CrossRef: 26
49
TITLE: Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback
AUTHORS: Joao Vinagre ; Alipio Mario Jorge ; Joao Gama ;
PUBLISHED: 2014, SOURCE: 22nd International Conference on User Modeling, Adaptation, and Personalization (UMAP) in USER MODELING, ADAPTATION, AND PERSONALIZATION, UMAP 2014, VOLUME: 8538
INDEXED IN: Scopus WOS DBLP CrossRef: 56
50
TITLE: Monitoring Recommender Systems: A Business Intelligence Approach
AUTHORS: Catarina Felix ; Carlos Soares ; Alipio Jorge ; Joao Vinagre ;
PUBLISHED: 2014, SOURCE: 14th International Conference on Computational Science and Its Applications (ICCSA) in COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, PART VI - ICCSA 2014, VOLUME: 8584, ISSUE: PART 6
INDEXED IN: Scopus WOS DBLP CrossRef: 1
Page 5 of 6. Total results: 53.