Navigating complex information spaces: A portfolio theory approach

Payel Bandyopadhyay*, Tuukka Ruotsalo, Antti Ukkonen, Giulio Jacucci

*Corresponding author for this work

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

    3 Citations (Scopus)

    Abstract

    Users often find difficult to navigate through a large information space to find the required information. One of the reasons is the difficulty in designing systems that would present the user with an optimal set of navigation options to support varying information needs. As a solution, this paper proposes a method referred as interaction portfolio theory. This theory is inspired by the economic theory called the “Modern Portfolio theory”, which offers users with optimal interaction options by taking into account user’s goal expressed via interaction during the task, but also the risk related to a potentially suboptimal choice made by the user. The proposed method learns the relevant interaction options from user behavior interactively and optimizes relevance and diversity to allow the user to accomplish the task in a shorter interaction sequence. This theory can be applied to any IR system to help users to retrieve the required information easily.

    Original languageEnglish
    Title of host publicationSymbiotic Interaction
    Subtitle of host publicationThird International Workshop, Symbiotic 2014, Helsinki, Finland, October 30-31, 2014, proceedings
    EditorsGiulio Jacucci, Luciano Gamberini, Jonathan Freeman, Anna Spagnolli
    Pages138-144
    Number of pages7
    ISBN (Electronic)978-3-319-13500-7
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication

    Publication series

    NameLecture notes in computer science
    PublisherSpringer
    Volume8820
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Keywords

    • Evaluation
    • Information retrieval
    • Information retrieval systems
    • Modern portfolio theory
    • Search behaviour

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