Document filtering method using non-relevant information profile

Keiichiro Hoashi, Kazunori Matsumoto, Naomi Inoue, Kazuo Hashimoto

Research output: Contribution to journalConference article

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)
DOIs
Publication statusPublished - 2000
EventProceedings of the 23rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2000) - Athens, Greece
Duration: 2000 Jul 242000 Jul 28

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture

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