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About

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
  • Role

    External Research Collaborator
  • Since

    11th January 2010
014
Publications

2025

Generative AI and the Future of the Digital Commons: Five Open Questions and Knowledge Gaps

Authors
Noroozian, A; Aldana, L; Arisi, M; Asghari, H; Avila, R; Bizzaro, PG; Chandrasekhar, R; Consonni, C; Angelis, DD; Chiara, FD; Rio Chanona, Md; de Rosnay, MD; Eriksson, M; Font, F; Gómez, E; Guillier, V; Gutermuth, L; Hartmann, D; Kaffee, LA; Keller, P; Stalder, F; Vinagre, J; Vrandecic, D; Wasielewski, A;

Publication
CoRR

Abstract

2025

Measuring the stability and plasticity of recommender systems

Authors
Lavoura, MJ; Jungnickel, R; Vinagre, J;

Publication
CoRR

Abstract

2025

Data Access for Recommender Systems Research: leveraging the EU's Digital Services Act

Authors
Vinagre, J; Porcaro, L; Merisio, S; Purificato, E; Gomez, E;

Publication
PROCEEDINGS OF THE NINETEENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS2025

Abstract
The European Union (EU) Digital Services Act (DSA) has introduced a novel set of rules for online platforms and search engines, with significant implications for the Recommender Systems community. Through its data access mechanisms, the DSA invites researchers to request both publicly available and private data from Very Large Online Platforms (VLOPs) and Very Large Search Engines (VLOSEs) - those with more than 45 million active recipients in the EU - to investigate systemic risks associated with the dissemination of illegal content, risks to the exercise of fundamental rights, and negative effects on electoral processes, public health, and gender-based violence. This tutorial is aimed at researchers who are interested in submitting such data access requests and will provide them with the knowledge to do so by introducing the relevant definitions and provisions of the DSA, and addressing the most important procedural steps to obtain data access and will provide attendees with a comprehensive understanding of the DSA's data access implications for RecSys research. The tutorial targets researchers, practitioners, and students in understanding current developments in online platform regulation in Europe and their impact on RecSys research.

2025

Data Access under the EU Digital Services Act and its Impact on User Modelling Research

Authors
Purificato, E; Boratto, L; Vinagre, J;

Publication
ADJUNCT PROCEEDINGS OF THE 33RD ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, UMAP 2025

Abstract
The Digital Services Act (DSA) establishes a regulatory framework for online platforms and search engines in the European Union, focusing on mitigating systemic risks such as illegal content dissemination, fundamental rights violations, and impacts on electoral processes, public health, and gender-based violence. Very Large Online Platforms (VLOPs) and Very Large Search Engines (VLOSEs), defined as those with over 45 million active recipients, must provide data access for research to enable investigations into these risks and the development of solutions. This tutorial is tailored for the UMAP community, addressing the implications of the DSA for user modelling research. It will cover the DSA's key provisions and definitions, outline the procedural steps for accessing VLOP and VLOSE data, and discuss the technical aspects of data access requests. Participants will also explore the challenges and opportunities involved in working with this data. By the end of the tutorial, attendees will have a thorough understanding of the DSA's data access provisions, the technical and procedural requirements for accessing VLOP and VLOSE data, and the regulation's implications for user modelling research. They will be equipped to navigate the complexities of the DSA and contribute to the development of responsible and transparent online platforms.Further information and resources about the tutorial are available on the website: https://erasmopurif.com/tutorial-dsa-umap25/.

2025

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation

Authors
Eriksson, M; Purificato, E; Noroozian, A; Vinagre, J; Chaslot, G; Gómez, E; Llorca, DF;

Publication
CoRR

Abstract