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Author Radinsky, Kira ♦ Davidovich, Sagie ♦ Markovitch, Shaul
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Today Query ♦ Empirical Support ♦ Google Trend ♦ Tomorrow News ♦ Top Term ♦ Novel Task ♦ Difficult Task ♦ Web Resource ♦ Prediction Power ♦ News Archive ♦ User Query ♦ Query History ♦ Novel Methodology ♦ Web Search ♦ Future Event ♦ Future News
Description 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. 1
Proceedings of 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Agent Technology
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2008-01-01