FTF·IDF scoring for fresh information retrieval

Nobuyoshi Sato, Minoru Uehara, Yoshifumi Sakai

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

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004 Volume 1 (Regional Papers)
EditorsL. Barolli
Pages165-170
Number of pages6
DOIs
Publication statusPublished - 2004 Jul 6
EventProceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004 - Fukuoka, Japan
Duration: 2004 Mar 292004 Mar 31

Publication series

NameProceedings - International Conference on Advanced Information Networking and Application (AINA)
Volume1

Other

OtherProceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004
CountryJapan
CityFukuoka
Period04/3/2904/3/31

Keywords

  • Distributed search engine
  • Web information retrieval

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Sato, N., Uehara, M., & Sakai, Y. (2004). FTF·IDF scoring for fresh information retrieval. In L. Barolli (Ed.), Proceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004 Volume 1 (Regional Papers) (pp. 165-170). (Proceedings - International Conference on Advanced Information Networking and Application (AINA); Vol. 1). https://doi.org/10.1109/AINA.2004.1283905