Video Game Selection Recommendation System

This study aims to enhance the efficiency of the video game selection process for users through the implementation of advanced recommendation algorithms. The review the newest and most famous methods, means, algorithms and approaches to solving problems generation recommendations was done. Recommend...

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Bibliographic Details
Published inInternational Scientific and Technical Conference "Computer Sciences and Information Technologies" (Online) pp. 1 - 4
Main Authors Veres, Oleh, Ilchuk, Pavlo, Kots, Olha, Veres, Yuriy
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.10.2024
Subjects
Collaboration
Collaborative filtering
content filtering
Filtering
Games
Information systems
Information technology
matrix factorization
recommendation system
Recommender systems
Reviews
Steam
Unified modeling language
video game
Video games
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ISSN2766-3639
DOI10.1109/CSIT65290.2024.10982670

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Summary:This study aims to enhance the efficiency of the video game selection process for users through the implementation of advanced recommendation algorithms. The review the newest and most famous methods, means, algorithms and approaches to solving problems generation recommendations was done. Recommendation system was modeled with usage the UML diagram. Three algorithms have been implemented and analyzed the results of their work: collaborative ALS-based advisor, collaborative recommender systems utilizing EM and SVD, and content-driven recommenders. Collaborative ALS consultant showed itself the best. Developed information system can significantly improve users playing experience and make process of games selection more personalized and effective.
ISSN:2766-3639
DOI:10.1109/CSIT65290.2024.10982670