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Falk Scholer

Falk Scholer

D-Index & Metrics

Computer Science

D-Index
33
Citations
4717
World Ranking
12673
National Ranking
381

Overview

Falk Scholer is affiliated with RMIT University in Australia and has contributed extensively to the field of Computer Science, with a particular focus on Information Systems and Artificial Intelligence. Their body of work also touches on Sociology and Political Science, Computer Science Applications, and Cognitive Neuroscience.

Their research covers a range of specialized topics including:

  • Information Retrieval and Search Behavior
  • Expert finding and Q&A systems
  • Topic Modeling
  • Mobile Crowdsensing and Crowdsourcing
  • Misinformation and Its Impacts
  • Personal Information Management and User Behavior
  • Advanced Database Systems and Queries

Scholer has published numerous papers in several venues, with a notable presence in arXiv (Cornell University), hosting five publications. Other frequent venues include the Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM Transactions on Information Systems, PLoS ONE, and Information Processing & Management.

Recent publications illustrate the scope of Scholer's work:

  • "No one is immune to misinformation: An investigation of misinformation sharing by subscribers to a fact-checking newsletter" (2021) in PLoS ONE
  • "On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation" (2021) in Information Processing & Management
  • "A review of public datasets in question answering research" (2020) in ACM SIGIR Forum
  • "A Non-Factoid Question-Answering Taxonomy" (2022) in the Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "sMARE: a new paradigm to evaluate and understand query performance prediction methods" (2022) in Information Retrieval

Their collaborative work is evidenced by frequent co-authorships with several researchers, including:

  • Damiano Spina
  • Mark Sanderson
  • Johanne R. Trippas
  • Leila Tavakoli
  • Hamed Zamani

Best Publications

  • User performance versus precision measures for simple search tasks

    Andrew Turpin;Falk Scholer

  • Compression of inverted indexes For fast query evaluation

    Falk Scholer;Hugh E. Williams;John Yiannis;Justin Zobel

  • Research Frontiers in Information Retrieval: Report from the Third Strategic Workshop on Information Retrieval in Lorne (SWIRL 2018)

    J. Shane Culpepper;Fernando Diaz;Mark D. Smucker

  • Query expansion using associated queries

    Bodo Billerbeck;Falk Scholer;Hugh E. Williams;Justin Zobel

  • Effective pre-retrieval query performance prediction using similarity and variability evidence

    Ying Zhao;Falk Scholer;Yohannes Tsegay

  • Machine transliteration survey

    Sarvnaz Karimi;Falk Scholer;Andrew Turpin

  • On Crowdsourcing Relevance Magnitudes for Information Retrieval Evaluation

    Eddy Maddalena;Stefano Mizzaro;Falk Scholer;Andrew Turpin

  • Users versus models: what observation tells us about effectiveness metrics

    Alistair Moffat;Paul Thomas;Falk Scholer

  • Incorporating User Expectations and Behavior into the Measurement of Search Effectiveness

    Alistair Moffat;Peter Bailey;Falk Scholer;Paul Thomas

  • Quantifying test collection quality based on the consistency of relevance judgements

    Falk Scholer;Andrew Turpin;Mark Sanderson

  • The effect of threshold priming and need for cognition on relevance calibration and assessment

    Falk Scholer;Diane Kelly;Wan-Ching Wu;Hanseul S. Lee

  • Query association surrogates for Web search

    Falk Scholer;Hugh E. Williams;Andrew Turpin

  • UQV100: A Test Collection with Query Variability

    Peter Bailey;Alistair Moffat;Falk Scholer;Paul Thomas

  • Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval

    Liu Yang;Qingyao Ai;Damiano Spina;Ruey-Cheng Chen

  • Effective Pre-retrieval Query Performance Prediction Using Similarity and Variability Evidence

    Unknown

  • User Variability and IR System Evaluation

    Peter Bailey;Alistair Moffat;Falk Scholer;Paul Thomas

  • Capturing collection size for distributed non-cooperative retrieval

    Milad Shokouhi;Justin Zobel;Falk Scholer;S. M. M. Tahaghoghi

  • Invited paper: Visualizing search results and document collections using topic maps

    David Newman;Timothy Baldwin;Lawrence Cavedon;Eric Huang

  • Boolean versus ranked querying for biomedical systematic reviews

    Sarvnaz Karimi;Stefan Pohl;Falk Scholer;Lawrence Cavedon;Lawrence Cavedon

  • Including summaries in system evaluation

    Andrew Turpin;Falk Scholer;Kalvero Jarvelin;Mingfang Wu

  • The TREC 2005 Terabyte Track

    Charles L. A. Clarke;Falk Scholer;Ian Soboroff

  • No one is immune to misinformation: An investigation of misinformation sharing by subscribers to a fact-checking newsletter.

    Lauren L. Saling;Devi Mallal;Falk Scholer;Russell Skelton

Frequent Co-Authors

Mark Sanderson
Mark Sanderson RMIT University
Andrew Turpin
Andrew Turpin University of Melbourne
Alistair Moffat
Alistair Moffat University of Melbourne
Justin Zobel
Justin Zobel University of Melbourne
W. Bruce Croft
W. Bruce Croft University of Massachusetts Amherst
Timothy Baldwin
Timothy Baldwin University of Melbourne
Hugh E. Williams
Hugh E. Williams RMIT University
Jaap Kamps
Jaap Kamps University of Amsterdam
Ryen W. White
Ryen W. White Microsoft (United States)
Simon J. Puglisi
Simon J. Puglisi University of Helsinki

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