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About

Ricardo Campos is an assistant professor at the ICT Departmental Unit of the Polytechnic Institute of Tomar  [http://www.ipt.pt] and invited professor of the Porto Business School [http://www.pbs.up.pt]. He is an integrated researcher of LIAAD-INESC TEC [https://www.inesctec.pt/en/centres/liaad], the Artificial Intelligence and Decision Support Lab of U. Porto, and a collaborator of Ci2.ipt [http://www.ci2.ipt.pt/], the Smart Cities Research Center of the Polytechnic of Tomar.

He is PhD in Computer Science by the University of Porto (U. Porto). His PhD on temporal information retrieval led him to win the Fraunhofer Portugal Challenge 2013 and to be distinguished as an “outstanding” researcher by the INESC TEC research lab.

He has over 10 years of research experience in Information Retrieval and Natural Language Processing. In 2018, he has been awarded the best short paper award at ECIR'18 for the paper entitled "A Text Feature Based Automatic Keyword Extraction Method for Single Documents" [http://yake.inesctec.pt] and the 1st prize of the Arquivo.pt Award for the project Conta-me Histórias [http://contamehistorias.pt]. In 2019 he has been awarded the Best Demo Presentation at ECIR'19 for the paper entitled “Interactive System for Automatically Generating Temporal Narratives” [http://tellmestories.pt], and the Recognized Reviewer Award for his reviews as a PC member of ECIR'19. In the same year, he has also been nominated outstanding reviewer of the NAACL-HTL'19 conference.

He is an editorial board member of the Information Processing & Management Journal (Elsevier), co-chaired international conferences and workshops, being also a program committee member of several international conferences. He is also one of the Guest Editors of the special issue on “Time and Information Retrieval” and on "Narrative Extraction from Texts" hosted by IPM Journal, being also a co-author of the "Survey of Temporal Information Retrieval and Related Applications" published by the ACM Computing Surveys (CSUR).

More in http://www.ccc.ipt.pt/~ricardo

Interest
Topics
Details

Details

  • Name

    Ricardo Campos
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st July 2012
Publications

2019

The 2nd International Workshop on Narrative Extraction from Text: Text2Story 2019

Authors
Jorge, AM; Campos, R; Jatowt, A; Bhatia, S;

Publication
Lecture Notes in Computer Science - Advances in Information Retrieval

Abstract

2019

Interactive system for automatically generating temporal narratives

Authors
Pasquali, A; Mangaravite, V; Campos, R; Jorge, AM; Jatowt, A;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
In this demo, we present a tool that allows to automatically generate temporal summarization of news collections. Conta-me Histórias (Tell me stories) is a friendly user interface that enables users to explore and revisit events in the past. To select relevant stories and temporal periods, we rely on a key-phrase extraction algorithm developed by our research team, and event detection methods made available by the research community. Additionally, we offer the engine as an open source package that can be extended to support different datasets or languages. The work described here stems from our participation at the Arquivo.pt 2018 competition, where we have been awarded the first prize. © Springer Nature Switzerland AG 2019.

2019

Information Processing & Management Journal Special Issue on Narrative Extraction from Texts (Text2Story): Preface

Authors
Jorge, AM; Campos, R; Jatowt, A; Nunes, S;

Publication
Information Processing and Management

Abstract

2019

Preface

Authors
Jorge, AM; Campos, R; Jatowt, A; Bhatia, S;

Publication
CEUR Workshop Proceedings

Abstract

2019

Exploring Video Game Searches on the Web

Authors
Mansouri, B; Zahedi, MS; Campos, R; Farhoodi, M;

Publication
COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 )

Abstract
As video games arc developing fast, many users issue queries related to video games in a daily fashion. While there Were a few attempts to understand their behavior, little is known on how the video game-related searches are done. Digesting and analyzing this search behavior may thus be faced as an important contribution for search engines to provide better results and search services for their users. To overcome this lack of knowledge and to gain more insight into how video game searches are done, we analyze in this paper, a number of game search queries submitted to a general search engine named Parsijoo. The analysis conducted was performed on top of 372,508 game search records extracted from the query logs within 253,516 different search sessions. Different aspects of video game searches are studied, including, their temporal distribution, game version specification. popular game categories, popular game platforms, game search sessions and clicked pages. Overall, the experimental analysis on video game searches shows that the current retrieval methods used by traditional search engines cannot be applied for game searches, thus, different retrieval and search services should be considered for these searches in the future.