| 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|