Supporting Exploratory Information Seeking by Epistemology-based Social Search

Yuqing Mao, Haifeng Shen, Chengzheng Sun

    Research output: Contribution to conferencePaperpeer-review

    2 Citations (Scopus)

    Abstract

    Formulating proper keywords and evaluating search results are common difficulties in exploratory information seeking. Reusing and refining others' successful searches are pragmatic directions to tackle these difficulties. In this paper, we present a novel epistemology-based social search solution, where search epistemologies are effectively shared, reused, and refined by others with the same or similar search interests through novel user interfaces. We have developed a prototype system Baijia and experimental results show that an epistemology-based social search system outperforms a conventional search engine in supporting exploratory information seeking.

    Original languageEnglish
    Pages353-356
    Number of pages4
    DOIs
    Publication statusPublished - 2010
    EventACM International Conference on Intelligent User Interfaces -
    Duration: 7 Feb 2010 → …

    Conference

    ConferenceACM International Conference on Intelligent User Interfaces
    Period7/02/10 → …

    Keywords

    • Epistemology-based social search
    • Exploratory information seeking
    • World wide web

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