Research on an intelligent system for optimizing the ranking of e-commerce product search results using deep learning algorithm

This paper proposes a new DEP model based on dynamic network. The method adopts the distribution search based on the natural classification level of products and divides them into tree structures. This index field is extensible and is the most basic and important link in the DEP architecture. Some key functions such as security management and reliability evaluation are also completed. The core functions of the system such as security control and trust evaluation are also realized by this layer. At the same time, with the assistance of third parties, complete the entire transaction process. This method adopts the text comparison method based on fuzzy inference, when the user searches the product, it can not only find the exact product, but also give the product close to the demand. This will greatly improve the transaction opportunities of enterprises, tap potential customers, and enhance personalized services. Experiments show that DEP itself has good expandability, can effectively reduce the query route and communication overhead, and can achieve high optimization efficiency.