A Method of Acquiring Accurate Information from Fuzzy Demand

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.