Title :
Predicting the News of Tomorrow Using Patterns in Web Search Queries
Author :
Radinsky, Kira ; Davidovich, Sagie ; Markovitch, Shaul
Author_Institution :
Comput. Sci. Dept., Technion - Israel Inst. of Technol., Haifa
Abstract :
The novel task we aim at in this work is to predict top terms that will prominently appear in the future news. This is a difficult task that nobody attempted before, as far as we know. We present a novel methodology for using patterns of user queries to predict future events. Query history is obtained from Web resources such as Google trends. In order to predict whether a term will appear in tomorrow´s news, we examine if the terms in today´s queries indicated this term in the past. We provide empirical support for the effectiveness of our method by showing its prediction power on news archives.
Keywords :
query processing; Google trends; Web resources; Web search queries; news archives; query history; Computer science; Economic forecasting; History; Humans; Intelligent agent; Power generation economics; Prediction algorithms; Resource management; Testing; Web search; Prediction; Query Log Mining; Web Mining;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
DOI :
10.1109/WIIAT.2008.215
