World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5089
World Ranking
10862
National Ranking
4520

Overview

Gabriella Kazai is affiliated with Microsoft in the United States. Their work primarily spans the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Science Applications, Information Systems, Sociology and Political Science, and Information Systems and Management.

Their research covers a range of topics, notably Mobile Crowdsensing and Crowdsourcing, Topic Modeling, Misinformation and Its Impacts, Information Retrieval and Search Behavior, Advanced Text Analysis Techniques, Spam and Phishing Detection, and Hate Speech and Cyberbullying Detection.

Kazai has contributed to peer-reviewed publications in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Human-Computer Interaction
  • First Monday

Selected recent papers authored or coauthored by Kazai include:

  • When Are Search Completion Suggestions Problematic?, 2020, Proceedings of the ACM on Human-Computer Interaction
  • On the social and technical challenges of Web search autosuggestion moderation, 2022, First Monday
  • Rethinking Semi-supervised Learning with Language Models, 2023, arXiv (Cornell University)
  • Proceedings of the CSCW 2021 Workshop -- Investigating and Mitigating Biases in Crowdsourced Data, 2021, arXiv (Cornell University)

Gabriella Kazai has collaborated frequently with several researchers, including:

  • Emine Yılmaz
  • Alexandra Olteanu
  • Fernando Díaz
  • Bhaskar Mitra
  • Anlei Dong

Best Publications

  • Initiative for the Evaluation of XML Retrieval

    Gabriella Kazai

  • Community-based bayesian aggregation models for crowdsourcing

    Matteo Venanzi;John Guiver;Gabriella Kazai;Pushmeet Kohli

  • In search of quality in crowdsourcing for search engine evaluation

    Gabriella Kazai

  • Worker types and personality traits in crowdsourcing relevance labels

    Gabriella Kazai;Jaap Kamps;Natasa Milic-Frayling

  • Crowdsourcing for book search evaluation: impact of hit design on comparative system ranking

    Gabriella Kazai;Jaap Kamps;Marijn Koolen;Natasa Milic-Frayling

  • Advances in XML Information Retrieval and Evaluation

    Norbert Fuhr;Mounia Lalmas;Saadia Malik;Gabriella Kazai

  • An analysis of human factors and label accuracy in crowdsourcing relevance judgments

    Gabriella Kazai;Jaap Kamps;Natasa Milic-Frayling

  • The face of quality in crowdsourcing relevance labels: demographics, personality and labeling accuracy

    Gabriella Kazai;Jaap Kamps;Natasa Milic-Frayling

  • The overlap problem in content-oriented XML retrieval evaluation

    Gabriella Kazai;Mounia Lalmas;Arjen P. de Vries

  • Overview of the Initiative for the Evaluation of XML retrieval (INEX) 2002.

    Norbert Gövert;Gabriella Kazai

  • INEX 2005 evaluation measures

    Gabriella Kazai;Mounia Lalmas

  • INEX 2007 Evaluation Measures

    Jaap Kamps;Jovan Pehcevski;Gabriella Kazai;Mounia Lalmas

  • INEX 2005 evaluation measures

    Gabriella Kazai;Mounia Lalmas

  • Advances in Information Retrieval Theory

    Leif Azzopardi;Gabriella Kazai;Stephen Robertson;Stefan Rüger

  • Overview of INEX 2005

    Saadia Malik;Gabriella Kazai;Mounia Lalmas;Norbert Fuhr

  • Towards a science of user engagement.

    Simon Attfield;Gabriella Kazai;Mounia Lalmas;Benjamin Piwowarski

  • Overview of the INEX 2011 Books and Social Search Track

    Marijn Koolen;Gabriella Kazai;Jaap Kamps;Antoine Doucet

  • On aggregating labels from multiple crowd workers to infer relevance of documents

    Mehdi Hosseini;Ingemar J. Cox;Nataša Milić-Frayling;Gabriella Kazai

  • Overview of the INEX 2013 Social Book Search Track

    Marijn Koolen;Gabriella Kazai;Michael Preminger;Antoine Doucet

  • Towards methods for the collective gathering and quality control of relevance assessments

    Gabriella Kazai;Natasa Milic-Frayling;Jamie Costello

Frequent Co-Authors

Jaap Kamps
Jaap Kamps University of Amsterdam
Norbert Fuhr
Norbert Fuhr University of Duisburg-Essen
Ralf Schenkel
Ralf Schenkel University of Trier
Stephen Robertson
Stephen Robertson University College London
Peter Brusilovsky
Peter Brusilovsky University of Pittsburgh
Dawei Song
Dawei Song The Open University
Leif Azzopardi
Leif Azzopardi University of Strathclyde
Nick Craswell
Nick Craswell Microsoft (United States)

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