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Automatic Modeling of User's Real World Activities from the Web for Semantic IR

Automatic Modeling of User's Real World Activities from the Web for Semantic IR

This video was recorded at World Wide Web (WWW) Conference, Raleigh 2010. We have been developing a task-based service navigation system that offers to the user services relevant to the task the user wants to perform. The system allows the user to concretize his/her request in the task-model developed by human-experts. In this study, to reduce the cost of collecting a wide variety of activities, we investigate the automatic modeling of users' real world activities from the web. To extract the widest possible variety of activities with high precision and recall, we investigate the appropriate number of contents and resources to extract. Our results show that we do not need to examine the entire web, which is too time consuming; a limited number of search results (e.g. 900 from among... Show More

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