Adaptive scoring method based on freshness for fresh information retrieval

Minoru Uehara, Nobuyoshi Sato, Yoshifumi Sakai

研究成果: Conference contribution

抄録

Fresh information is important for real business. 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). FTF differs from TF because FTF decreases as time goes. The speed of decreasing FTF 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 - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05
ページ226-231
ページ数6
DOI
出版ステータスPublished - 2005 12 1
イベントInternational Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05 - Tokyo, Japan
継続期間: 2005 4 82005 4 9

出版物シリーズ

名前Proceedings - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05
2005

Other

OtherInternational Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05
国/地域Japan
CityTokyo
Period05/4/805/4/9

ASJC Scopus subject areas

  • 工学(全般)

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