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).

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

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.

News Recommendation and Analytics (INRA 2022)

Preface to INRA 2022 1-5
Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Edward C. Malthouse, Jon Atle Gulla
Relevancy and Diversity in News Recommendations 6-15
Shaina Raza, Chen Ding
Understanding the Relation of User and News Representations in Content-Based Neural News Recommendation 16-27
Lucas Möller, Sebastian Padó
A Benchmark for Text Classification in News Recommendations 28-37
Xinyi Li, Edward C. Malthouse

Investigating Learning During Web Search (IWILDS 2022)

Preface to IWILDS 2022 38-44
Anett Hoppe, Ran Yu, Jiqun Liu
Capturing Self-Regulated Learning During Search 45-59
Kelsey Urgo, Jaime Arguello
Learning to Rank for Knowledge Gain 60-68
Markus Rokicki, Ran Yu, Daniel Hienert
Grade Level Filtering for Learning Object Search using Entity Linking 69-83
Ratan J. Sebastian, Ralph Ewerth, Anett Hoppe
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
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) |valid HTML5|