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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
009
Publications

2021

A Hybrid Recommender System for Improving Automatic Playlist Continuation

Authors
Gatzioura, A; Vinagre, J; Jorge, AM; Marrè, MS;

Publication
IEEE Transactions on Knowledge and Data Engineering

Abstract

2021

Partially Monotonic Learning for Neural Networks

Authors
Trindade, J; Vinagre, J; Fernandes, K; Paiva, N; Jorge, A;

Publication
Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings

Abstract

2021

Hyperparameter self-tuning for data streams

Authors
Veloso, B; Gama, J; Malheiro, B; Vinagre, J;

Publication
Information Fusion

Abstract

2020

ORSUM - Workshop on Online Recommender Systems and User Modeling

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

Publication
RecSys 2020: Fourteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22-26, 2020

Abstract

2020

Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), Virtual Event, September 25, 2020

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

Publication
ORSUM@RecSys

Abstract

Supervised
thesis

2020

Interpretabilidade em Modelos de Sistemas de Recomendação

Author
Joana Filipa Vieira Trindade

Institution
INESCTEC

2020

Software library for stream-based recommender systems

Author
Fernando André Bezerra Moura Fernandes

Institution
UP-FEUP

2020

Hierarchical recommender systems

Author
Bruna Raquel Ribeiro Madeira

Institution
UP-FCUP

2019

Exploiting business knowledge in a recommender system for handset devices

Author
André Guimarães Rodrigues da Silva

Institution
INESCTEC

2019

Software library for stream-based recommender systems

Author
Fernando André Bezerra Moura Fernandes

Institution
INESCTEC