On the issue of profiling users of social networks

Abstract

The article discusses the issues of profiling users of social networks. Currently, according to statistics, more than half of the population of our country uses information technologies. Entertainment and interactive services such as social networks, blogs, forums, etc. have become particularly widespread among ordinary users. Such services are characterized by providing a lot of freedom to the user in entering various data about himself: the user can name himself as he likes, specify any place of residence, create a group with any description. The user creates the necessary content himself, searches for the necessary information himself, therefore, the search should be available to anyone, even someone unfamiliar with the skills of searching for data on a computer. Naturally, with the increase in the number of users, the availability of data decreases, it is necessary to implement more and more sophisticated search algorithms that allow people to find the information they need.As a rule, the search represents to the user a string in which he enters a query to which the program outputs the results found. The user is free to enter any data as a request, intentionally or accidentally distorting them, for example, by making typos. Users who create new content also often make inaccuracies in the names, distortions in words, add icons for decoration, write words in Latin. Thus, there may be errors in the data and in the queries, which must be taken into account when implementing the search.The article provides an overview of existing methods of fuzzy data retrieval. A review of existing studies has been conducted in which this problem has been analyzed.