A case study on freshness based scoring for fresh information retrieval

Nobuyoshi Sato, Minoru Uehara, Yoshifumi Sakai

    研究成果: Conference contribution

    4 被引用数 (Scopus)

    抄録

    For most businesses, fresh information retrieval is very important However, it is difficult for conventional search engines based on centralized architecture to retrieve really fresh information, because they take a long time to collect documents via Web robots. In contrast to a centralized architecture, a search engine based on a distributed architecture does not need to collect documents, because each site independently makes an index. As this result, distributed search engines can retrieve really fresh information. However, fast indexing is not enough to easily retrieve fresh information. The value of information is determined by both freshness and relevance. Traditional ranking methods consider either freshness or relevance; so, we proposed FTF-IDF (Fresh Term Frequency multiplied by Inverse Document Frequency) as a scoring method that considers both freshness and relevance. In this paper, we will describe a verification of FTF-IDF on an actual web diary.

    本文言語English
    ホスト出版物のタイトルProceedings - IEEE International Symposium on Communications and Information Technologies, ISCIT 2004
    ページ210-215
    ページ数6
    出版ステータスPublished - 2004 12月 1
    イベントIEEE International Symposium on Communications and Information Technologies: Smart Info-Media Systems, ISCIT 2004 - Sapporo, Japan
    継続期間: 2004 10月 262004 10月 29

    出版物シリーズ

    名前IEEE International Symposium on Communications and Information Technologies: ISCIT 2004
    1

    Other

    OtherIEEE International Symposium on Communications and Information Technologies: Smart Info-Media Systems, ISCIT 2004
    国/地域Japan
    CitySapporo
    Period04/10/2604/10/29

    ASJC Scopus subject areas

    • 工学(全般)

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