Methods and Means of Web Content Personalization for Commercial Information Products Distribution

Abstract

In this paper we address 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 visitors that have interest to these 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. The developed system has classes and subclasses to which real information products with logical links between them and intellectual analysis of the content. The system of commercial distribution of information products in the future will be able to bring real income to its owner, which will be in demand among users of the World Wide Web.