Improving identification of latent user goals through search-result snippet classification

Kuan Yu He, Yao Sheng Chang, Wen Hsiang Lu

研究成果: Conference contribution

12 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose an enhanced approach to improving our previous method which employs syntactic structures (verb-object pairs) to identify latent user goals. Our new approach employs a supervised-learning method to learn hint verbs and considers URL information and title information to classify snippets into three coarse categories, which are resource-seeking, informational, and navigational. Also, we propose three different models to identify three different categories of specific latent user goals from the classified snippets.

原文English
主出版物標題Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
頁面683-686
頁數4
DOIs
出版狀態Published - 2007
事件IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 - Silicon Valley, CA, United States
持續時間: 2007 11月 22007 11月 5

出版系列

名字Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007

Other

OtherIEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
國家/地區United States
城市Silicon Valley, CA
期間07-11-0207-11-05

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦網路與通信

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