Commercial Content Distribution System Based on Neural Network and Machine Learning

In this paper, we consider the problem of designing an information system for methods and means of commercial distribution of information products, using a personalized approach to visitors based on categories and tags for interesting visitors of information products. The designed system is the methods and means of reorganization in the online store, with the core of the automatic recommendation of tags (categories) in the form of a neural network with controlled learning that provides the intelligence of the system as a whole. Providing a convenient site is key because online stores can help customers find the things they are looking for in a more versatile way. This allows visitors to manage their own buying experience, which helps to increase customer loyalty and makes them more inclined to return to the site for more purchases, which in turn greatly facilitates trade. The technologies of artificial intelligence will provide customers with better services and individual impressions. They also maximize the marketing efforts of the company, minimizing the need to spend money on ineffective advertising campaigns. The purpose of the intellectual system of Internet commerce is to provide unique content based on the approach of personalization and the use of tags.