Intelligent system for user groups socialization with similar interests
The article develops a general architectural system of socialization of groups of users with similar interests and functional requirements for it. To process a large part of the information, the system is implemented using the methods of fuzzy text information search and machine learning. thus, N-gram, selection expansion and structured Noisy Channel models are applied. A feature of the implementation is the processing of the text, the analysis of words in the text and the formation of evaluations.