Design and Research of Advertisement Recommendation System Based on FFM_ResNet Model

Offline advertising recommendation system is an important part of e-commerce. The advertising recommendation system based on FFM_ResNet model can make recommendations according to the user behavior in a long time and predict user preferences through the model, so as to realize the sale of goods. The offline advertising recommendation system is carried out according to the business process of the system. This study is introduced by the business flow chart of the offline advertising recommendation system. The beneficial design is carried out in the system architecture, log collection, database design, model training and advertising recommendation, and good results have been achieved in practice.