João Vinagre

According to our database1, João Vinagre authored at least 20 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
ORSUM 2019 2nd workshop on online recommender systems and user modeling.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018
Forgetting techniques for stream-based matrix factorization in recommender systems.
Knowl. Inf. Syst., 2018

Online bagging for recommender systems.
Expert Systems, 2018

ORSUM Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Incremental Matrix Co-factorization for Recommender Systems with Implicit Feedback.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Self Hyper-parameter Tuning for Stream Recommendation Algorithms.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Online Gradient Boosting for Incremental Recommender Systems.
Proceedings of the Discovery Science - 21st International Conference, 2018

2017
Improving Incremental Recommenders with Online Bagging.
Proceedings of the Progress in Artificial Intelligence, 2017

2016
Data-Driven Relevance Judgments for Ranking Evaluation.
CoRR, 2016

Online Bagging for Recommendation with Incremental Matrix Factorization.
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), 2016

Scalable Online Top-N Recommender Systems.
Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016

2015
An overview on the exploitation of time in collaborative filtering.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2015

Evaluation of recommender systems in streaming environments.
CoRR, 2015

Collaborative filtering with recency-based negative feedback.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Forgetting methods for incremental matrix factorization in recommender systems.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2014
Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Monitoring Recommender Systems: A Business Intelligence Approach.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

2013
Combining usage and content in an online recommendation system for music in the Long Tail.
IJMIR, 2013

2012
Forgetting mechanisms for scalable collaborative filtering.
J. Braz. Comp. Soc., 2012

Combining usage and content in an online music recommendation system for music in the long-tail.
Proceedings of the 21st World Wide Web Conference, 2012


  Loading...