Personalized Recommendation Evaluation of Credit Degree Based on New Hybrid Crow Search Algorithm for E-Commerce Live Industry Data Analysis

Abstract

With the advent of the era of national live broadcast, the “live broadcast + e-commerce” model reconstructs “people, goods, and fields”, and merchants, platforms, and anchors create a new marketing system around consumers’ perceptions, attitudes, and emotions to enhance consumer willingness. E-commerce live broadcast ultimately brings back the core of marketing, according to retailers. The psychological contract in the live broadcast is a variable, and its commitment or breach will have an effect on the consumer attitude and consumer emotions. From the perspective of the consumer, stronger consumption motivation, content quality, Netflix charm, trust, and highly interactive consumer expectations must exist. Based on the above background, the understanding of business infrastructure in the digital economy era should also be dynamically adjusted in conjunction with the concept of new infrastructure and business innovation practices. This paper investigates personalized recommendation assessment of credit degree based on data analysis of the live e-commerce industry based on new hybrid crow search algorithm in this context, delves into the state of e-commerce in China today, offers a profound discussion on e-commerce as well as credit degree, and concludes the paper with a general summary.