Document filtering method using non-relevant information profile

Keiichiro Hoashi, Kazunori Matsumoto, Naomi Inoue, Kazuo Hashimoto

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Document filtering is a task to retrieve documents relevant to a user's profile from a flow of documents. Generally, filtering systems calculate the similarity between the profile and each incoming document, and retrieve documents with similarity higher than a threshold. However, many systems set a relatively high threshold to reduce retrieval of non-relevant documents, which results in the ignorance of many relevant documents. In this paper, we propose the use of a non-relevant information profile to reduce the mistaken retrieval of non-relevant documents. Results from experiments show that this filter has successfully rejected a sufficient number of non-relevant documents, resulting in an improvement of filtering performance.

Original languageEnglish
Pages (from-to)176-183
Number of pages8
JournalSIGIR Forum (ACM Special Interest Group on Information Retrieval)
Publication statusPublished - 2000
Externally publishedYes

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ASJC Scopus subject areas

  • Hardware and Architecture
  • Management Information Systems

Cite this

Document filtering method using non-relevant information profile. / Hoashi, Keiichiro; Matsumoto, Kazunori; Inoue, Naomi; Hashimoto, Kazuo.

In: SIGIR Forum (ACM Special Interest Group on Information Retrieval), 2000, p. 176-183.

Research output: Contribution to journalArticle

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