Searching for old news: User interests and behavior within a national collection

Tessel Bogaard, Laura Hollink, Jan Wielemaker, Lynda Hardman, Jacco Van Ossenbruggen

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Modeling user interests helps to improve system support or reine recommendations in Interactive Information Retrieval. The aim of this study is to identify user interests in diferent parts of an online collection and investigate the related search behavior. To do this, we propose to use the metadata of selected facets and clicked documents as features for clustering sessions identiied in user logs. We evaluate the session clusters by measuring their stability over a six-month period. We apply our approach to data from the National Library of the Netherlands, a typical digital library with a richly annotated historical newspaper collection and a faceted search interface. Our results show that users interested in speciic parts of the collection use diferent search techniques. We demonstrate that a metadata-based clustering helps to reveal and understand user interests in terms of the collection, and how search behavior is related to speciic parts within the collection.

Original languageEnglish
Title of host publicationCHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval
PublisherAssociation for Computing Machinery, Inc
Pages113-121
Number of pages9
ISBN (Electronic)9781450360258
DOIs
Publication statusPublished - 8 Mar 2019
Event4th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2019 - Glasgow, United Kingdom
Duration: 10 Mar 201914 Mar 2019

Conference

Conference4th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2019
CountryUnited Kingdom
CityGlasgow
Period10/03/1914/03/19

Keywords

  • Clustering
  • Digital libraries
  • Log analysis
  • Metadata
  • Search behavior
  • User interest

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  • Cite this

    Bogaard, T., Hollink, L., Wielemaker, J., Hardman, L., & Van Ossenbruggen, J. (2019). Searching for old news: User interests and behavior within a national collection. In CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval (pp. 113-121). Association for Computing Machinery, Inc. https://doi.org/10.1145/3295750.3298925