Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration

Shoichi Nakamura, Takuya Matsumoto, Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera

研究成果: Conference contribution

抄録

Complicated Web exploration involving trial and error is quite important in intellectual creative activities. To successfully conduct such exploration, each user needs to satisfactorily understand the results and circumstances (i.e., contexts) of his/her own exploration. However, the contexts are difficult for a user to understand since queries and the pages obtained with them increase rapidly as exploration progresses. In this research, we were aiming at developing methods for visualizing the contexts so that a user can easily understand them. This paper mainly describes methods for clustering queries and extracting the transitions of search queries by analyzing the relationships between the clusters of queries. Moreover, this paper also describes a prototype of context map with some screenshots.

本文言語English
ホスト出版物のタイトルProceedings of 2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017
出版社Association for Computing Machinery
ページ227-231
ページ数5
ISBN(電子版)9781450353922
DOI
出版ステータスPublished - 2017 12 5
イベント2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017 - Jakarta, Indonesia
継続期間: 2017 12 52017 12 7

Other

Other2017 International Conference on Computer Science and Artificial Intelligence, CSAI 2017
国/地域Indonesia
CityJakarta
Period17/12/517/12/7

ASJC Scopus subject areas

  • 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
  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア

引用スタイル