User Purchase Intention Analysis Based on Machine Learning and Community Interaction Information
This paper points out that with the in-depth integration and development of short video platforms and social platforms and e-commerce,more and more people are participating in community interactions with merchants and further purchasing behaviors.In order to analyze and model the relationship between community interaction information and user purchase intention,this paper uses machine learning algorithm to analyze and process the community interaction information data,and builds a user purchase intention prediction model.In order to make the model more generalized and reduce the influence of human experience,the model adopts the end-to-end training of the Transformer model to fit the influence mechanism of community interaction information on users'purchase intention.The experimental results show that the Transformer model uses the community interaction information to predict the user's purchase intention the best,and its accuracy is significantly higher than other models.
community interaction informationuser purchase intentionmachine learningTransformer modelend-to-end
万方数据
维普
