Extraction of feature words with the same generality level as query using restricted bootstrapping

Jun Zeng, Toshihiko Sakai, Brendan Flanagan, Sachio Hirokawa

研究成果: 著書/レポートタイプへの貢献会議での発言

抜粋

It is not so simple to get an appropriated level of search result among a large number of targets which might be too general or too specific. Hints for the query are valuable for a user to expand or shrink his next search step, if the hints would be shown with their levels compared with the user's original query. This paper proposes a method to extract feature words of the same level as user's query using restricted bootstrap. Examples are shown to demonstrate the effectiveness of the method on tourism blogs. The paper proposes an evaluation measure for the similarity of levels for words based on WordNet.

元の言語英語
ホスト出版物のタイトルProceedings of the 2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012
ページ171-176
ページ数6
DOI
出版物ステータス出版済み - 12 1 2012
イベント2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012 - Hangzhou, 中国
継続期間: 9 9 20129 11 2012

出版物シリーズ

名前Proceedings of the 2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012

その他

その他2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012
中国
Hangzhou
期間9/9/129/11/12

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Economics, Econometrics and Finance (miscellaneous)

これを引用

Zeng, J., Sakai, T., Flanagan, B., & Hirokawa, S. (2012). Extraction of feature words with the same generality level as query using restricted bootstrapping. : Proceedings of the 2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012 (pp. 171-176). [6470797] (Proceedings of the 2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012). https://doi.org/10.1109/CEC.2012.40