A Method of Acquiring Accurate Information from Fuzzy Demand

Abstract

With the popularization and application of big data technology and artificial intelligence technology, great breakthroughs have been made in the field of e-commerce. While, there are imperfections of user demand for major e-commerce platforms, for instance, incomplete expression of demand, difficult to deal with the voice input, difficult to deal with the fuzzy demand, unsustainable acquisition of demand. In this paper, a method of acquiring accurate information from fuzzy demand is proposed. This method is suitable for scenarios with fuzzy voice input, which makes up for the shortcomings of the existing e-commerce platform. It can help to reduce the expression burden on demand of transaction subject, also it meets his/her personalized needs with accurate recognition results. Furthermore, it enhances the experience of the transaction subject with flexible and controllable interaction methods.