Adaptive calculation of scores for fresh information retrieval

Minoru Uehara, Nobuyoshi Sato, Yoshifumi Sakai

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In business, we need fresh information. In order to realize fresh information retrieval, we need not only to collect documents in a short time, but also to rank the results in the suitable order. However, conventional ranking methods are not suited for fresh information retrieval because they ignore temporal value of information. So, we have proposed the novel ranking method FTFIDF for fresh information retrieval. FTF·IDF extends TF·IDF by means of using FTF(fresh term frequency) instead of TF(term frequency). FTP differs from TF because FTP decreases as time goes. The speed of decreasing FTP is determined by the dumping factor. The dumping factor is sensitive against small changes of documents. So, we use a threshold to ignore such small changes. In some papers we published, we detect the optimal threshold manually. In this paper, we proposed an adaptive calculating method in order to detect threshold automatically. In this method, the optimal value is determined by iterating to test generated thresholds. In this paper, we describe our method and its evaluation.

本文言語English
ホスト出版物のタイトルProceedings - 11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005
編集者L. Barolli
ページ750-755
ページ数6
DOI
出版ステータスPublished - 2005 9 1
イベント11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005 - Fukuoka, Japan
継続期間: 2005 7 202005 7 22

出版物シリーズ

名前Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
1
ISSN(印刷版)1521-9097

Other

Other11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005
CountryJapan
CityFukuoka
Period05/7/2005/7/22

ASJC Scopus subject areas

  • Hardware and Architecture

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