Paper Title :Sales Forecasting based on SVR with Keywords Filtering of Web Search Queries

Author :Li Qiqi, Murata Tomohiro

Article Citation :Li Qiqi ,Murata Tomohiro , (2018 ) " Sales Forecasting based on SVR with Keywords Filtering of Web Search Queries " , International Journal of Management and Applied Science (IJMAS) , pp. 31-36, Volume-4,Issue-12

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

Type : Research paper

Published : Volume-4,Issue-12

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