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About

About

Sérgio Nunes is an Assistant Professor at the Department of Informatics Engineering at FEUP, University of Porto, and a Senior Researcher at INESC TEC. He holds a PhD in Information Retrieval (2010) focused on using temporal features for relevance estimation, and a MSc in Information Management (2004).

He is currently the Director of the U.Porto Media Innovation Labs (MIL), an Excellence Center of the University of Porto, with the mission of developing the university's capacity in the field of Media in teaching, research and innovation activities by promoting collaborations between existing university structures and articulation with external partners.

His main research interests are in information retrieval and web information systems. He teaches databases, web technologies and information retrieval in different programs, namely the Informatics Engineering Doctoral Program, the Computer Science Masters, and the Communication Science Bachelors.

Interest
Topics
Details

Details

  • Name

    Sérgio Nunes
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    20th December 2010
001
Publications

2011

Term Weighting based on Document Revision History

Authors
Sérgio Nunes; Cristina Ribeiro; Gabriel David

Publication
JASIST - Journal of the American Society for Information Science and Technology, vol.62, no.12, pp.2471-2478

Abstract
In real-world information retrieval systems, the underlying document collection is rarely stable or definitive. This work is focused on the study of signals extracted from the content of documents at different points in time for the purpose of weighting individual terms in a document. The basic idea behind our proposals is that terms that have existed for a longer time in a document should have a greater weight. We propose 4 term weighting functions that use each document's history to estimate a current term score. To evaluate this thesis, we conduct 3 independent experiments using a collection of documents sampled from Wikipedia. In the first experiment, we use data from Wikipedia to judge each set of terms. In a second experiment, we use an external collection of tags from a popular social bookmarking service as a gold standard. In the third experiment, we crowdsource user judgments to collect feedback on term preference. Across all experiments results consistently support our [...]

2010

Term frequency dynamics in collaborative articles

Authors
Sérgio Nunes; Cristina Ribeiro; Gabriel David

Publication
DocEng2010 - ACM Symposium on Document Engineering, pp.267-270, Manchester, Inglaterra

Abstract

Supervised
thesis

2017

Estudo e caraterização dos hábitos de utilização e navegação em jornais online

Author
João Miguel Falcão Morgado

Institution
UP-FEUP

2017

Statistical Language Models applied to News Generation

Author
João Ricardo Pintas Soares

Institution
UP-FEUP

2017

Automatic detection of hate speech in text: an overview of the topic and dataset annotation with hierarchical classes

Author
Paula Cristina Teixeira Fortuna

Institution
UP-FEUP

2017

Designing an Algorithmic News Application for User Control

Author
Tiago Nuno Mesquita Folgado Leitão Devezas

Institution
UP-FEUP

2017

Named entity extraction from Portuguese web text

Author
André Ricardo Oliveira Pires

Institution
UP-FEUP