Computer System Selection of Literature on a Given Topic

The main goal of the final qualifying work is to develop a recommender computer system for the selection of literature using the design and implementation of a neural network in a computer system as an intellectual assistant. To obtain the result was developed: 1. A computer system selection of literature for the Android operating system for convenient user interaction with a recommender system; 2. An artificial neural network that has been trained and tested based on available feedback. During the development of a computer system, the following results were obtained: an artificial neural network with an LSTM architecture can make recommendations based on user preferences with acceptable accuracy. The results obtained can be used both in research works and as a separate module for various services that need to predict the choice of an object. The work consists of 72 pages and contains 16 figures, 2 tables and 26 sources.