Detecting innovative topics based on user-interest ontology

Makoto Nakatsuji, Makoto Yoshida, Toru Ishida

研究成果: Article査読

27 被引用数 (Scopus)

抄録

In this paper, we detect "innovative topics", those that are new and hopefully interesting to the user. We try to expand user interests significantly by letting the user browse those topics. We first generate user-interest ontologies that allow user profiles to be constructed as a hierarchy of classes where a user interest weight is assigned to each class and instance. Next, we measure the similarity between user interests by using interest weights on their user-interest ontologies and generate user group GU that has high similarity to user u. The innovative topics for u are then detected by determining a suitable size of GU and analyzing the ontologies in GU.

本文言語English
ページ(範囲)107-120
ページ数14
ジャーナルWeb Semantics
7
2
DOI
出版ステータスPublished - 2009 4
外部発表はい

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ネットワークおよび通信

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