The problem of generating automatic recommendations is a very common problem whose solution can have many practical applications. Some of the examples would be generating a list of books that are likely to be read by readers on the basis of a book they have previously read, generating a list of movies or series that they would like to watch based on movies and series that they previously watched, and the like. Instead of a list, it is possible for a user to, for read books or watched movies, give a measure of quality or for algorithm to consider the opinions of other users, which can then be used when automatically generating new suggestions. Within the thesis it is necessary to study the existing approaches for creating a recommender system. It is necessary to investigate which types of such systems exist and what are the applications. Then it is necessary to develop the prototype program implementation of a concrete approach in one concrete example. Examine the work of the system. Attach the source code of developed procedures with the necessary explanations and documentation to the thesis. Suggest directions for future development. Cite the literature used and quote the received help.