Frontiers of Information Access Experimentation for Research and Education (Dagstuhl Seminar 23031)

Authors Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Guglielmo Faggioli and all authors of the abstracts in this report



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Author Details

Christine Bauer
  • Utrecht University, NL
Ben Carterette
  • University of Delaware and Spotify, US
Nicola Ferro
  • University of Padua, IT
Norbert Fuhr
  • University of Duisburg-Essen, DE
Guglielmo Faggioli
  • University of Padua, IT
and all authors of the abstracts in this report

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Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, and Guglielmo Faggioli. Frontiers of Information Access Experimentation for Research and Education (Dagstuhl Seminar 23031). In Dagstuhl Reports, Volume 13, Issue 1, pp. 68-154, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023) https://doi.org/10.4230/DagRep.13.1.68

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 23031 "Frontiers of Information Access Experimentation for Research and Education", which brought together 37 participants from 12 countries.
The seminar addressed technology-enhanced information access (information retrieval, recommender systems, natural language processing) and specifically focused on developing more responsible experimental practices leading to more valid results, both for research as well as for scientific education.
The seminar brought together experts from various sub-fields of information access, namely Information Retrieval (IR), Recommender Systems (RS), Natural Language Processing (NLP), information science, and human-computer interaction to create a joint understanding of the problems and challenges presented by next generation information access systems, from both the research and the experimentation point of views, to discuss existing solutions and impediments, and to propose next steps to be pursued in the area in order to improve not also our research methods and findings but also the education of the new generation of researchers and developers.
The seminar featured a series of long and short talks delivered by participants, who helped in setting a common ground and in letting emerge topics of interest to be explored as the main output of the seminar. This led to the definition of five groups which investigated challenges, opportunities, and next steps in the following areas: reality check, i.e. conducting real-world studies, human–machine-collaborative relevance judgment frameworks, overcoming methodological challenges in information retrieval and recommender systems through awareness and education, results-blind reviewing, and guidance for authors.

Subject Classification

ACM Subject Classification
  • Information systems → Information retrieval
  • Information systems → Recommender systems
  • Computing methodologies → Natural language processing
  • Information systems → Users and interactive retrieval
  • Information systems → Evaluation of retrieval results
Keywords
  • evaluation
  • experimentation
  • information access systems
  • simulation
  • user interaction

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