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Paper Abstract and Keywords
Presentation 2017-01-21 12:30
[Poster Presentation] Car Sales Prediction using State Space Model with Search Volume on the Web
Taichi Yamaguchi (Univ. of Tsukuba), Takaaki Tsunoda (CyberAgent), Mitsuo Yoshida (Toyohashi Tech), Sho Tsugawa, Mikio Yamamoto (Univ. of Tsukuba)
Abstract (in Japanese) (See Japanese page) 
(in English) Regarding monthly car sales as time series data, we can predict the future car sales using state space models. However, the prediction accuracy using only past car sales data may be poor because of many unexpected trend changes. In this study, we focus on the search behavior which consumers do, and incorporate the trend changes into our prediction models. We define how much consumers search on the Web as "the search behavior volume". Since the search behavior volume of cars tends to show the same fluctuation prior to the fluctuation of the real car sales data, this data is useful for improving the prediction accuracy. We use Google Trends data provided by Google Inc. and page views data of Wikipedia released by Wikimedia Foundation. We develop the models incorporated with the search behavior volume, and show that the prediction accuracy is improved in 15 cars.
Keyword (in Japanese) (See Japanese page) 
(in English) Search Behavior Volume / Google Trends / Wikipedia / State Space Model / Market Prediction / / /  
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Conference Information
Committee CQ  
Conference Date 2017-01-21 - 2017-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka University Nakanoshima Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Communication Quality Workshop 
Paper Information
Registration To CQ 
Conference Code 2017-01-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Car Sales Prediction using State Space Model with Search Volume on the Web 
Sub Title (in English)  
Keyword(1) Search Behavior Volume  
Keyword(2) Google Trends  
Keyword(3) Wikipedia  
Keyword(4) State Space Model  
Keyword(5) Market Prediction  
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1st Author's Name Taichi Yamaguchi  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Takaaki Tsunoda  
2nd Author's Affiliation CyberAgent, Inc. (CyberAgent)
3rd Author's Name Mitsuo Yoshida  
3rd Author's Affiliation Toyohashi University of Technology (Toyohashi Tech)
4th Author's Name Sho Tsugawa  
4th Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
5th Author's Name Mikio Yamamoto  
5th Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2017-01-21 12:30:00 
Presentation Time 80 minutes 
Registration for CQ 
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