Retrieving Information about Real World Activities from the Web

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概要

• 論文の詳細を見る

• The web is thriving with websites containing How-To articles and DIY guides. In websites like that information about activities and guides how to accomplish them are located. An activity is defined as any action that a person can accomplish. Our research focuses on Retrieving activities from the Web related to a user's search query. To accomplish that we have created a system that performs meta-search in multiple How-To websites using semantic query expansion. An overview of the activities retrieval system is presented along with the explanation of the query expansion algorithm which utilizes ConceptNet. Finally experimental results gathered from a user study are given in order to evaluate the performance of our system.

• 2011-08-29

著者

• Jun Ota

  The University Of Tokyo

• Yusuke Fukazawa

  The University Of Tokyo|ntt Docomo Inc.

• Karapetsas Eleftherios

  The University of Tokyo

関連論文

• Retrieving Information about Real World Activities from the Web
• Activity Prediction based on both Long Term and Current Activity on Twitter
• Activity Prediction based on both Long Term and Current Activity on Twitter

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