World's Best Scientists 2026 revealed!
Mark Sanderson

Mark Sanderson

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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
59
Citations
15334
World Ranking
3401
National Ranking
93

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Mark Sanderson is affiliated with RMIT University in Australia and specializes in the field of Computer Science, with a focus on Artificial Intelligence, Information Systems, Management Science and Operations Research, Transportation, and Information Systems and Management.

Their research covers a range of topics including Topic Modeling, Recommender Systems and Techniques, Advanced Bandit Algorithms Research, Expert Finding and Question & Answer systems, Information Retrieval and Search Behavior, Explainable Artificial Intelligence (XAI), and Data Quality and Management.

Mark Sanderson has contributed to publications in various venues, with the most frequent being arXiv (Cornell University), ACM Transactions on Information Systems, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM SIGIR Forum, and the Journal of the Association for Information Science and Technology.

Recent research papers by Mark Sanderson include:

  • Conversational Search (Dagstuhl Seminar 19461), 2020, published in Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Popularity Bias in False-positive Metrics for Recommender Systems Evaluation, 2021, ACM Transactions on Information Systems
  • A review of public datasets in question answering research, 2020, ACM SIGIR Forum
  • How Do You Test a Test?, 2022, Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • A Non-Factoid Question-Answering Taxonomy, 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Frequent collaborators include Yongli Ren, Jeffrey Chan, Falk Scholer, Flora D. Salim, and Danula Hettiachchi.

Best Publications

  • Deriving concept hierarchies from text

    Mark Sanderson;Bruce Croft

  • Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval

    William Hersh;Jamie Callan;Yoelle Maarek;Mark Sanderson

  • Advantages of query biased summaries in information retrieval

    Anastasios Tombros;Mark Sanderson

  • Word sense disambiguation and information retrieval

    Mark Sanderson

  • Test Collection Based Evaluation of Information Retrieval Systems

    Mark Sanderson

  • Information retrieval system evaluation: effort, sensitivity, and reliability

    Mark Sanderson;Justin Zobel

  • Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

    Ee-Peng Lim;Marianne Winslett;Mark Sanderson;Ada Fu

  • Analyzing geographic queries

    M. Sanderson;J. Kohler

  • The History of Information Retrieval Research

    M. Sanderson;W. B. Croft

  • Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002

    James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley

  • INQUERY and TREC-7

    James Allan;James P. Callan;Mark Sanderson;Jinxi Xu

  • Spatio-textual indexing for geographical search on the web

    Subodh Vaid;Christopher B. Jones;Hideo Joho;Mark Sanderson

  • Book review: manningchristopher d., raghavanprabhakar, schützehinrich, introduction to information retrieval, cambridge university press. 2008. isbn-13 978-0-521-86571-5, xxi + 482 pages.

    Mark Sanderson

  • Spatial information retrieval and geographical ontologies an overview of the SPIRIT project

    Christopher B. Jones;R. Purves;A. Ruas;M. Sanderson

  • Frontiers, challenges, and opportunities for information retrieval: Report from SWIRL 2012 the second strategic workshop on information retrieval in Lorne

    James Allan;Bruce Croft;Alistair Moffat;Mark Sanderson

  • Do user preferences and evaluation measures line up

    Mark Sanderson;Monica Lestari Paramita;Paul Clough;Evangelos Kanoulas

  • The relationship between IR effectiveness measures and user satisfaction

    Azzah Al-Maskari;Mark Sanderson;Paul Clough

  • Ambiguous queries: test collections need more sense

    Mark Sanderson

  • Retrieving with Good Sense

    Mark Sanderson

  • A review of factors influencing user satisfaction in information retrieval

    Azzah Al-Maskari;Mark Sanderson

  • The CLEF 2004 cross-language image retrieval track

    Paul Clough;Henning Müller;Mark Sanderson

  • Review of Advances in automatic text summarization by Inderjeet Mani and Mark T. Maybury. The MIT Press 1999.

    Mark Sanderson

Frequent Co-Authors

Paul Clough
Paul Clough University of Sheffield
Falk Scholer
Falk Scholer RMIT University
Fabio Crestani
Fabio Crestani Universita della Svizzera Italiana
Evangelos Kanoulas
Evangelos Kanoulas University of Amsterdam
James Allan
James Allan University of Massachusetts Amherst
W. Bruce Croft
W. Bruce Croft University of Massachusetts Amherst
Justin Zobel
Justin Zobel University of Melbourne
Ben Carterette
Ben Carterette Spotify, US
Paolo Ferragina
Paolo Ferragina University of Pisa
Kalervo Järvelin
Kalervo Järvelin Tampere University

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