Scalable hierarchical topic detection: exploring a sample based approach (extended abstract)

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

    3 Citations (Scopus)
    Original languageUndefined
    Title of host publicationSIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
    Place of PublicationNew York
    PublisherACM Press
    Pages655-656
    Number of pages2
    ISBN (Print)1-59593-034-5
    DOIs
    Publication statusPublished - 2005
    Event28th Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005 - Salvador, Brazil
    Duration: 15 Aug 200519 Aug 2005
    Conference number: 28

    Conference

    Conference28th Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2005
    Abbreviated titleSIGIR
    CountryBrazil
    CitySalvador
    Period15/08/0519/08/05

    Keywords

    • METIS-227346
    • EWI-1858

    Cite this

    Trieschnigg, R. B., & Kraaij, W. (2005). Scalable hierarchical topic detection: exploring a sample based approach (extended abstract). In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval (pp. 655-656). New York: ACM Press. https://doi.org/10.1145/1076034.1076175