Title: Predicting Movie Incomes Using Search Engine Query Data

Year of Publication: Nov - 2014
Page Numbers: 45-49
Authors: Chanseung Lee , Mina Jung
Conference Name: The International Conference on Artificial Intelligence and Pattern Recognition (AIPR2014)
- Malaysia

Abstract:


Massive data sources resulting from human interactions with the Internet may offer a new perspective on the behavior of market. By analyzing Google query database for search terms related to movies, we present a method of analyzing large numbers of Google search queries to predict revenue of movie incomes. Our results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior.