Research On Customer Satisfaction Evaluation Of Mobile E-commerce Recommendation System

With the continuous development of the Internet,there are more and more customers using shopping mobile terminals on the Internet.In the process of shopping,mobile clients will also recommend products to customers through technical means according to their usage habits,providing good shopping choices for customers to buy.At present,Chinese scholars are committed to the improvement of the recommendation system,and there are few researches on the satisfaction degree of the recommendation system from the perspective of customers.However,it is necessary to understand the satisfaction of the recommendation system from the perspective of customers,and then to put forward targeted opinions and Suggestions on the mobile e-commerce recommendation system.Based on the D&M model and the TAM model,this study explores the specific factors influencing consumers' satisfaction with the mobile e-commerce recommendation system.After the relevant literature is sorted out and concluded,the original model is modified based on the specific problems of this study,and a new theoretical model is established.Then,the data is obtained through questionnaire survey.The analytic hierarchy process is used to assign weights to the indicators in the model.Finally,the Toscan method is used to evaluate and compare the mobile e-commerce,and the rationalization suggestions for the development direction of the e-commerce recommendation system are put forward.