The influence of e-commerce algorithms on Consumers’ behaviour

Abstract

With the development of the Internet and data analysis technology, the e-commerce plat-form continues to optimise the e-commerce algorithm system, improve consumers' online shopping experience and willingness, reduce the time cost of consumers' retrieval of commodity information, achieve accurate marketing, and increase sales. Therefore, it is of great significance to understand the functions and characteristics of the algorithm and how does it affects consumers' shopping decisions. Based on collating relevant literature on consumer decision-making, online shopping behaviour, and algorithm recommendation system, a process model of an algorithm system affecting shopping decisions is constructed. Conduct a questionnaire survey to analyse the impact of the algorithm system on shopping decisions through a series of data. The following conclusions are drawn: The influence of the algorithm system is inevitable and strong, but it still needs to be improved, such as improving the accuracy of product recommendations. In addition, the development of an algorithm recommendation system is optimistic.