Research on the Influence of Personalized Recommendation on Consumers’ Anticipated Regret under the Effect of “Information Cocoon”

Abstract

In the face of huge attention bonus, the major e-commerce platforms use personalized recommendation system to stimulate consumer enthusiasm. In the long run, consumers unconsciously fall into the “information cocoon”, which hinders the opportunity for consumers to understand different information. The narrowing of information causes consumers to worry about possible losses in the future and produce regret. This paper analyzes the objective passive and subjective perception by T test. It is found that the trapped degree and perception of “information cocoon” have different effects on consumers’ anticipated regret, and different degrees of “information cocoon” have different effects on consumers. Therefore, users and related platforms should avoid high-level “information cocoon”, and use low-level “information cocoon”. Research on the Influence of Personalized Recommendation on Consumers’ Anticipated Regret under the Effect of “Information Cocoon”Download