Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
About
Download Photo HD

About

I'm a researcher at LIAAD, the Laboratory of Artificial Intelligence and Decision Support at INESC TEC. I received my PhD from the Faculty of Sciences of the University of Porto in 2016. My research interests are recommender systems, user modeling, personalization, web intelligence and information retrieval. I'm also interested in more fundamental areas of artificial intelligence, such as data stream mining, neural networks and representation learning. 

Interest
Topics
Details

Details

  • Name

    João Vinagre
  • Cluster

    Computer Science
  • Role

    Assistant Researcher
  • Since

    11th January 2010
004
Publications

2019

ORSUM 2019 2nd workshop on online recommender systems and user modeling

Authors
Vinagre, J; Jorge, AM; Bifet, A; Ghossein, MA;

Publication
Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019.

Abstract

2019

Statistically robust evaluation of stream-based recommender systems

Authors
Vinagre, J; Jorge, AM; Rocha, C; Gama, J;

Publication
IEEE Transactions on Knowledge and Data Engineering

Abstract

2019

A Hybrid Recommender System for Improving Automatic Playlist Continuation

Authors
Gatzioura, A; Vinagre, J; Jorge, AM; Sanchez-Marre, M;

Publication
IEEE Transactions on Knowledge and Data Engineering

Abstract

2019

Incremental Multi-Dimensional Recommender Systems: Co-Factorization vs Tensors

Authors
Ramalho, MS; Vinagre, J; Jorge, AM; Bastos, R;

Publication
2nd Workshop on Online Recommender Systems and User Modeling, ORSUM@RecSys 2019, 19 September 2019, Copenhagen, Denmark

Abstract

2019

2nd Workshop on Online Recommender Systems and User Modeling, ORSUM@RecSys 2019, 19 September 2019, Copenhagen, Denmark

Authors
Vinagre, J; Jorge, AM; Bifet, A; Ghossein, MA;

Publication
ORSUM@RecSys

Abstract

Supervised
thesis

2019

Exploiting business knowledge in a recommender system for handset devices

Author
André Guimarães Rodrigues da Silva

Institution
UP-FCUP