Web search engine based trend analysis of electronic commerce market

Zihui Yang

School of Traffic & Transportation Engineering, Central South University, Changsha Normal University, China

Google Trends offer weekly free information about internet searches. Users can see and download search volume patterns for the search term and the information is available by the category and by the location of those making the search. Also, Google provides “Hot searches” and “Top charts” including top and rising searches that include the search term. All these information is up to date as it provides weekly figures for a period up to and including the current week. In here, the proposed methods present a predictive model for Electronic Commerce market using the searched data in Google search engine (Google Trend data). Through the predictive model for the market and analysis of the Google Trend data, the proposed methods can get an efficient and meaningful result for the Electronic Commerce market, also we can enforce the marketing on highly ranked countries and cities. Those are very useful information for the Electronic Commerce manufacturers.