Evaluating the effort involved in relevance assessments for images

Martin Halvey, Robert Villa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)


    How assessors and end users judge the relevance of images has been studied in information science and information retrieval for a considerable time. The criteria by which assessors' judge relevance has been intensively studied, and there has been a large amount of work which has investigated how relevance judgments for test collections can be more cheaply generated, such as through crowd sourcing. Relatively little work has investigated the process individual assessors go through to judge the relevance of an image. In this paper, we focus on the process by which relevance is judged for images, and in particular, the degree of effort a user must expend to judge relevance for different topics. Results suggest that topic difficulty and how semantic/visual a topic is impact user performance and perceived effort.
    Original languageEnglish
    Title of host publicationSIGIR '14: Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages4
    ISBN (Print)9781450322577
    Publication statusPublished - 3 Jul 2014


    • information systems
    • information retrieval
    • information retrieval query processing


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