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DESIGN AND DEVELOPMENT OF A MOVIE RECOMMENDATION SERVICE
Author(s) -
A. A. Salenko,
E.V. Morar
Publication year - 2021
Publication title -
prikladnaâ matematika i fundamentalʹnaâ informatika
Language(s) - English
Resource type - Journals
ISSN - 2311-4908
DOI - 10.25206/2311-4908-2021-8-1-46-53
Subject(s) - computer science , service (business) , collaborative filtering , process (computing) , selection (genetic algorithm) , artificial neural network , work (physics) , service design , multimedia , recommender system , world wide web , service delivery framework , artificial intelligence , engineering , operating system , mechanical engineering , economy , economics
The article discusses two components of the service: the server part of the application for user interaction and the recommendation algorithm embedded in this service. In the process of work, training data was collected and processed, a neural network was designed and trained, recommendations were generated based on various filtering algorithms. The result of the work is a service for the selection of films

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