DOIONLINE 
DOIONLINE Publish In |
International Journal of Management and Applied Science (IJMAS)-IJMAS |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-12 ( Dec, 2018 ) | |||||||||
Paper Title |
Sales Forecasting based on SVR with Keywords Filtering of Web Search Queries | |||||||||
Author Name |
Li Qiqi, Murata Tomohiro | |||||||||
Affilition |
Graduate School of Information, Production and Systems, Waseda University | |||||||||
Pages |
31-36 | |||||||||
Abstract |
Recently, development cycle of high tech new products becomes shorter and sales forecasting of such new products is important but difficult. According to a survey from CNNIC, 77% of Internet users search on the Internet for information of products before purchasing them and historical big data of search record is useful for new product sales forecasting. To improve accuracy of forecasting new products, forecasting method by using historical sales data and multi variables time series data of Web search queries data might be promising approach. Keywords - Sales forecasting, New product, Web search trend, Google trend, SVR | |||||||||
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