Prediction of online trade growth using search-ANFIS: Transactions on Taobao as examples

摘要

The growth of E-commerce which can be seen in recent years, has contributed a lot to global economy. Prediction of trade, especially in C2C market, can help decision-makers obtain the information from the online transactions and find the knowledge underlying the data. This paper facilities the traditional search index prediction system with ANFIS model. By using purchasing transactions from Taobao, a C2C company in China, this paper trains and tests the model. Results show that, compared with traditional regression analysis method, Search-ANFIS system has higher prediction accuracy in online trade prediction.