The evaluations of FTF-IDF scoring for fresh information retrieval

Nobuyoshi Sato, Minoru Uehara, Yoshifumi Sakai

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

    1 Citation (Scopus)

    Abstract

    Fresh information is important for real business. However, conventional search engines are not suited for fresh information retrieval because they are based on centralized architecture. So, we have developed a distributed search engine, Cooperative Search Engine (CSE), which based on distributed architecture. CSE can search fresh information in a short time. The cost of fresh information retrieval is O(1) in the average case, but O(n) in the worst case. So, CSE is scalable, because it is not depended on the system scale. However, even if the performance is good, it is not enough for fresh information retrieval. The value of information is determined by both freshness and relevance. Traditional ranking methods consider either freshness or relevance. So, we propose FTF-IDF scoring which considers both freshness and relevance. In this paper, we evaluate its effects.

    Original languageEnglish
    Title of host publicationProceedings - 19th International Conference on Advanced Information Networking and Applications, AINA 2005
    Pages635-640
    Number of pages6
    DOIs
    Publication statusPublished - 2005 Dec 1
    Event19th International Conference on Advanced Information Networking and Applications, AINA 2005 - Taipei, Taiwan, Province of China
    Duration: 2005 Mar 282005 Mar 30

    Publication series

    NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
    Volume1
    ISSN (Print)1550-445X

    Other

    Other19th International Conference on Advanced Information Networking and Applications, AINA 2005
    Country/TerritoryTaiwan, Province of China
    CityTaipei
    Period05/3/2805/3/30

    Keywords

    • Distributed search engine
    • Web information retrieval

    ASJC Scopus subject areas

    • Engineering(all)

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