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Arjen P. de Vries

Arjen P. de Vries

D-Index & Metrics

Computer Science

D-Index
46
Citations
8993
World Ranking
6831
National Ranking
109

Overview

Arjen P. de Vries is affiliated with Radboud University in the Netherlands, focusing primarily on computer science research. Their work spans several subfields, including artificial intelligence, information systems, computer vision and pattern recognition, management science and operations research, and signal processing.

The scientist's research topics cover a range of areas relevant to current technological and data-driven challenges. Key topics include:

  • Topic Modeling
  • Information Retrieval and Search Behavior
  • Web Data Mining and Analysis
  • Natural Language Processing Techniques
  • Expert Finding and Q&A Systems
  • Advanced Graph Neural Networks
  • Recommender Systems and Techniques

Arjen P. de Vries has authored multiple publications showcased in a variety of venues. Selected recent papers include:

  • "Entity-aware Transformers for Entity Search," 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "ORCAS-I," 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "Impact and development of an Open Web Index for open web search," 2023, Journal of the Association for Information Science and Technology
  • "Artist Popularity: Do Web and Social Music Services Agree?", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Improving the Effectiveness and Efficiency of Web-Based Search Tasks for Policy Workers," 2023, Information

Frequent collaboration plays a role in their research, with notable coauthors including:

  • Djoerd Hiemstra
  • Faegheh Hasibi
  • Gijs Hendriksen
  • Chris Kamphuis
  • Jimmy Lin

The dissemination of their research appears prominently in several publication venues, with the most frequent being:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Journal of the Association for Information Science and Technology
  • Information

Best Publications

  • Unifying user-based and item-based collaborative filtering approaches by similarity fusion

    Jun Wang;Arjen P. de Vries;Marcel J. T. Reinders

  • Technique for indexing data in a network

    Arjen P. deVries;Leonidas Kontothanassis;Michael Sokolov;David E. Kovalcin

  • Overview of the TREC-2005 Enterprise Track

    Nick Craswell;Arjen P. de Vries;Ian Soboroff

  • Overview of the TREC 2010 Entity Track

    Krisztian Balog;Pavel Serdyukov;Arjen P. de Vries

  • Quality through flow and immersion: gamifying crowdsourced relevance assessments

    Carsten Eickhoff;Christopher G. Harris;Arjen P. de Vries;Padmini Srinivasan

  • Increasing cheat robustness of crowdsourcing tasks

    Carsten Eickhoff;Arjen P. Vries

  • Relevance assessment: are judges exchangeable and does it matter

    Peter Bailey;Nick Craswell;Ian Soboroff;Paul Thomas

  • Overview of the TREC 2006 Enterprise Track.

    Ian Soboroff;Arjen P. de Vries;Nick Craswell

  • Overview of the INEX 2009 entity ranking track

    Gianluca Demartini;Tereza Iofciu;Arjen P. De Vries

  • Overview of the TREC 2009 Entity Track

    Krisztian Balog;Arjen P. de Vries;Pavel Serdyukov;Paul Thomas

  • The overlap problem in content-oriented XML retrieval evaluation

    Gabriella Kazai;Mounia Lalmas;Arjen P. de Vries

  • Overview of the TREC 2007 Enterprise Track.

    Peter Bailey;Arjen P. de Vries;Nick Craswell;Ian Soboroff

  • REL: An Entity Linker Standing on the Shoulders of Giants

    Johannes M. van Hulst;Faegheh Hasibi;Koen Dercksen;Krisztian Balog

  • Overview of the INEX 2007 Entity Ranking Track

    Arjen P. Vries;Anne-Marie Vercoustre;James A. Thom;Nick Craswell

  • Efficient k-NN search on vertically decomposed data

    Arjen P. de Vries;Nikos Mamoulis;Niels Nes;Martin Kersten

  • Using flickr geotags to predict user travel behaviour

    Maarten Clements;Pavel Serdyukov;Arjen P. de Vries;Marcel J.T. Reinders

  • A user-item relevance model for log-based collaborative filtering

    Jun Wang;Arjen P. de Vries;Marcel J. T. Reinders

  • Unified relevance models for rating prediction in collaborative filtering

    Jun Wang;Arjen P. de Vries;Marcel J. T. Reinders

  • The where in the tweet

    Wen Li;Pavel Serdyukov;Arjen P. de Vries;Carsten Eickhoff

  • Overview of the TREC 2011 Entity Track.

    Krisztian Balog;Pavel Serdyukov;Arjen P. de Vries

  • Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval

    Noriko Kando;Tetsuya Sakai;Hideo Joho;Hang Li

Frequent Co-Authors

Marcel J. T. Reinders
Marcel J. T. Reinders Delft University of Technology
Djoerd Hiemstra
Djoerd Hiemstra Radboud University
Pavel Serdyukov
Pavel Serdyukov Yandex (Russia)
Krisztian Balog
Krisztian Balog University of Stavanger
Jun Wang
Jun Wang University College London
Nick Craswell
Nick Craswell Microsoft (United States)
Martha Larson
Martha Larson Radboud University
Peter Boncz
Peter Boncz Centrum Wiskunde & Informatica
Ian Soboroff
Ian Soboroff National Institute of Standards and Technology
Martin L. Kersten
Martin L. Kersten Centrum Wiskunde & Informatica

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