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
CountryTaiwan, 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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  • Cite this

    Sato, N., Uehara, M., & Sakai, Y. (2005). The evaluations of FTF-IDF scoring for fresh information retrieval. In Proceedings - 19th International Conference on Advanced Information Networking and Applications, AINA 2005 (pp. 635-640). [1423561] (Proceedings - International Conference on Advanced Information Networking and Applications, AINA; Vol. 1). https://doi.org/10.1109/AINA.2005.326