The Analysis of user's audio and video collections of the social network for description of the user's information image
Abstract
The article considers the questions related to the analysis of audio and video objects of open profiles in the social network with for further description of the information images of users. It is proposed to develop an appropriate system, allowing to analyze the user's preferred audio and video genres, compiling a description of the user's social portrait form a list of recommendations to supplement his audio and video collections, and display the results of statistical data for various queries. In addition, the results of the design are presented, using a unified modeling language UML, describing the whole system, its static and dynamic aspects, as well as features of the functioning.
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