Development of a personalized content recommendation system for streaming platform based on user behavior analysis
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Дата
2024
Автори
Науковий керівник
Назва журналу
Номер ISSN
Назва тому
Видавець
Igor Sikorsky Kyiv Polytechnic Institute
Анотація
Thesis: 101 pages, 18 tables, 26 figures, 1 appendix, 27 sources.
The object of research is the process of creating a recommendation system for
selecting movies on a streaming platform.
The subject of research is the methods and algorithms used to create content
personalization systems.
The aim of the work is to investigate methods and algorithms for building
recommendations and increasing their efficiency, and to integrate the selected algorithm
into a movie recommendation application.
The relevance of this work is associated with the need to predict user preferences
based on data collected from their interactions and feedback.
The research involves analyzing the problem of developing a recommendation
system and predicting user preferences, justifying the use of specific methods, tools, and
development environments, preparing and analyzing the initial dataset, preprocessing raw
data, developing mathematical models for the recommendation problem, implementing the
solution, and analyzing the results obtained.
Experiments and comparisons with existing approaches are conducted to evaluate
the effectiveness of the developed recommendation system. The results of the experiments
demonstrate the advantages of the developed movie recommendation system for the
streaming platform.
Опис
Ключові слова
recommendation system, machine learning, collaborative filtering, streaming platforms, рекомендаційна система, машинне навчання, колабораційна фільтрація, стримінгові платформи
Бібліографічний опис
Aliiev, R. N. Development of a personalized content recommendation system streaming platform based on user behavior analysis : Diploma work
... bachelor's degree : 122 «Computer sciences» / Aliiev Ramin Nazirovich. - Kyiv, 2024. - 101 p.