The Mechanism of Algorithmic Recommended Advertisements on the Feifeng Shuangchun Tea E-commerce Platform in Influencing Consumers’ Purchasing Decisions

Abstract

This article mainly talks about how the recommendation advertisement of the algorithm affects our decision to buy things on the Fenghuang Shuntong Tea e-commerce platform. By studying the technical principle of algorithm recommendation advertisement and the theory of how consumers make decisions, it discusses how this kind of advertisement works in the environment of Fenghuang Shuntong Tea e-commerce, such as how it conveys information to us, arouses our interest, matches our needs and builds trust. The article also analyzes some influencing factors, such as the quality of data, the model of algorithm, and the characteristics of our consumers. The purpose of this is to provide a theoretical basis for optimizing the algorithm recommendation advertisement of Fenghuang Shuntong Tea e-commerce platform, so as to help everyone make a purchase decision more efficiently and make the marketing effect of the platform better.