Predicting event-relatedness of popular queries

• Main Authors: Ghoreishi, Seyyedeh Newsha, Sun, Aixin
• 其他作者: School of Computer Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
• 在線閱讀: https://hdl.handle.net/10356/98135; http://hdl.handle.net/10220/18360

Many but not all popular queries are related to ongoing or recent events. In this paper, we identify 20 features including both contextual and temporal features from a small set of search results of a query and predict its event-relatedness. Search results from news and blog search engines are evalu...