Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector

Florian König, Lex van Velsen, Alexandros Paramythis

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

    Abstract

    This paper provides an overview of Prospector, a personalized Internet meta-search engine, which utilizes a combination of ontological information, ratings-based models of user interests, and complementary theme-oriented group models to recommend (through re-ranking) search results obtained from an underlying search engine. Re-ranking brings “closer to the top” those items that are of particular interest to a user or have high relevance to a given theme. A user-based, real-world evaluation has shown that the system is effective in promoting results of interest, but lags behind Google in user acceptance, possibly due to the absence of features popularized by said search engine. Overall, users would consider employing a personalized search engine to perform searches with terms that require disambiguation and/or contextualization.
    Original languageEnglish
    Title of host publicationE-Commerce and Web Technologies
    Subtitle of host publication10th International Conference, EC-Web 2009, Linz, Austria, September 1-4, 2009: Proceedings
    EditorsTommaso Di Noia, Francesco Buccafurri
    Place of PublicationBerlin, Heidelberg
    PublisherSpringer
    Pages312-323
    ISBN (Electronic)978-3-642-03964-5
    ISBN (Print)978-3-642-03963-8
    DOIs
    Publication statusPublished - 2009
    Event10th International Conference on Electronic Commerce and Web Technologies, EC-Web 2009 - Linz, Austria
    Duration: 1 Sep 20094 Sep 2009
    Conference number: 10

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume5692
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference10th International Conference on Electronic Commerce and Web Technologies, EC-Web 2009
    Abbreviated titleEC-Web
    CountryAustria
    CityLinz
    Period1/09/094/09/09

    Keywords

    • Personalized web search
    • Open Directory Project (ODP)
    • Collaborative search
    • User evaluation
    • Scrutability
    • Adaptive search result re-ranking

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  • Cite this

    König, F., van Velsen, L., & Paramythis, A. (2009). Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector. In T. Di Noia, & F. Buccafurri (Eds.), E-Commerce and Web Technologies: 10th International Conference, EC-Web 2009, Linz, Austria, September 1-4, 2009: Proceedings (pp. 312-323). (Lecture Notes in Computer Science; Vol. 5692). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-03964-5_29