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Vol-3411
urn:nbn:de:0074-3411-6
Copyright © 2022 for
the individual papers by the papers' authors.
Copyright © 2022 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
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INRA + IWILDS 2022
News Recommendation and Analytics + Investigating Learning During Web Search 2022
Joint Proceedings of the 10th International Workshop on News Recommendation and Analytics (INRA 2022) and the 3rd International Workshop on Investigating Learning During Web Search (IWILDS 2022)
co-located with 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)
Madrid, Spain, July 15, 2022.
Edited by
Özlem Özgöbek *
Andreas Lommatzsch **
Benjamin Kille *
Peng Liu *
Edward C. Malthouse ***
Jon Atle Gulla *
Anett Hoppe ****
Ran Yu *****
Jiqun Liu ******
*
Norwegian University of Science and Technology, Trondheim, Norway
**
Berlin Institute of Technology, Berlin, Germany
***
Northwestern University, Evanston, Illinois, USA
****
Leibniz University Hannover, Hanover, Germany
*****
University of Bonn, Bonn, Germany
******
The University of Oklahoma, Norman, Oklahoma, USA
Table of Contents
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Front Matter
Summary: There were 4 papers submitted to the INRA'22 workshop. After peer review, 3 were accepted as regular papers for this volume. There were 6 papers submitted to the IWILDS'22 workshop. After peer review, 5 were accepted for this volume, 4 as regular papers and 1 as short paper.
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Preface to IWILDS 2022
38-44
Anett Hoppe,
Ran Yu,
Jiqun Liu
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Capturing Self-Regulated Learning During Search
45-59
Kelsey Urgo,
Jaime Arguello
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Learning to Rank for Knowledge Gain
60-68
Markus Rokicki,
Ran Yu,
Daniel Hienert
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Grade Level Filtering for Learning Object Search using Entity Linking
69-83
Ratan J. Sebastian,
Ralph Ewerth,
Anett Hoppe
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Let's Learn from Children: Scaffolding to Enable Search as Learning in the Educational Environment
84-93
Monica Landoni,
Maria Soledad Pera,
Emiliana Murgia,
Theo Huibers
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Goal-Driven Lifelong Learning through Personalized Search and Recommendation Services
94-100
Abdolali Faraji,
Mohammadreza Tavakoli,
Gábor Kismihók
2023-05-18: submitted by Peng Liu,
metadata incl. bibliographic data published under Creative Commons CC0
2023-06-05: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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