Understanding complex casual leisure information needs: an analysis of search requests for books, games, movies and music

Purpose In this paper, we introduce the C RISPS (CRoss-domaIn relevance aSPects Scheme) coding scheme for complex information needs in the four leisure domains of books, games, movies and music. It categorizes the relevance aspects people consider when searching for these resources. The coding scheme and findings help search engines to better support complex information needs, both by prioritizing which aspects are easier to classify automatically and by determining which information sources should be considered. Design/methodology/approach A cross-domain classification scheme for relevance aspects and information needs in casual leisure domains (C RISPS ) is developed and applied. The paper provides the documentation of the scheme development and annotation process as well as a detailed, large-scale analysis of 2000 requests (500 per domain) and relevance aspects for four domains as expressed in complex search requests in everyday life information seeking posted to online forums. Findings We identify and discuss relevance aspect frequencies, information need types and the described search process of the requests. Furthermore, the coding scheme development and the annotation process are documented and reflected on. Originality/value This is the first categorization and analysis of complex information needs in these four leisure domains combined. The coding scheme and findings can be used to develop new types of search interfaces that incorporate the kinds of relevance aspects identified in the scheme, allowing to express complex needs in the form of structured queries.

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Publication Details

Journal
Journal of Documentation
Published
2024-10-18
DOI
https://doi.org/10.1108/jd-03-2024-0070
Citations
2
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
1.56
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article

Understanding complex casual leisure information needs: an analysis of search requests for books, games, movies and music

Toine Bogers, Mette Skov, Vivien Petras, Marijn Koolen et al.
2 citations
Journal of Documentation
Recommender Systems and Techniques
1.56
article

Understanding complex casual leisure information needs: an analysis of search requests for books, games, movies and music

Toine Bogers, Mette Skov, Vivien Petras, Marijn Koolen, Maria Gäde
article en
2 citations

Abstract

Purpose In this paper, we introduce the C RISPS (CRoss-domaIn relevance aSPects Scheme) coding scheme for complex information needs in the four leisure domains of books, games, movies and music. It categorizes the relevance aspects people consider when searching for these resources. The coding scheme and findings help search engines to better support complex information needs, both by prioritizing which aspects are easier to classify automatically and by determining which information sources should be considered. Design/methodology/approach A cross-domain classification scheme for relevance aspects and information needs in casual leisure domains (C RISPS ) is developed and applied. The paper provides the documentation of the scheme development and annotation process as well as a detailed, large-scale analysis of 2000 requests (500 per domain) and relevance aspects for four domains as expressed in complex search requests in everyday life information seeking posted to online forums. Findings We identify and discuss relevance aspect frequencies, information need types and the described search process of the requests. Furthermore, the coding scheme development and the annotation process are documented and reflected on. Originality/value This is the first categorization and analysis of complex information needs in these four leisure domains combined. The coding scheme and findings can be used to develop new types of search interfaces that incorporate the kinds of relevance aspects identified in the scheme, allowing to express complex needs in the form of structured queries.

Journal of DocumentationVol. 81(1)
Huygens Institute for History and Culture of the Netherlands (NL), Humboldt-Universität zu Berlin (DE), IT University of Copenhagen (DK), Aalborg University (DK)
Openalex Percentile: Top 12%
Recommender Systems and Techniques
1.56
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