Document filtering method using non-relevant information profile

Keiichiro Hoashi*, Kazunori Matsumoto, Naomi Inoue, Kazuo Hashimoto


研究成果: Conference article査読

23 被引用数 (Scopus)


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.

ジャーナルSIGIR Forum (ACM Special Interest Group on Information Retrieval)
出版ステータスPublished - 2000
イベントProceedings of the 23rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2000) - Athens, Greece
継続期間: 2000 7月 242000 7月 28

ASJC Scopus subject areas

  • 管理情報システム
  • ハードウェアとアーキテクチャ


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