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Master's Dissertation
DOI
https://doi.org/10.11606/D.27.2023.tde-19032024-134027
Document
Author
Full name
Gabriel Justino de Souza
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2023
Supervisor
Committee
Lima, Vânia Mara Alves (President)
Albuquerque, Ana Cristina de
Arakaki, Ana Carolina Simionato
Title in Portuguese
A taxonomia navegacional e os sistemas de recomendação das plataformas de streaming
Keywords in Portuguese
Plataformas de streaming
Sistema de Recomendação
Sistemas de Organização do Conhecimento
Taxonomia
Taxonomia Navegacional
Video on demand
Abstract in Portuguese
Esta pesquisa tem como objetivo analisar como os métodos da taxonomia navegacional podem auxiliar os sistemas de recomendação das plataformas de streaming Netflix, Globoplay e Prime Video. Para isso, define o dispositivo audiovisual denominado plataforma de streaming e suas diversas tipologias, apresentando um breve histórico do surgimento do streaming e demonstrando como a evolução de consumo informacional pela sociedade, a partir do desenvolvimento das tecnologias de comunicação, fizeram dele um fenômeno de consumo. A partir da pesquisa bibliográfica sobre a plataforma de streaming, os sistemas de organização do conhecimento e os sistemas de recomendação, discute como os métodos de uma taxonomia navegacional podem auxiliar a organização e o sistema de recomendação de conteúdo dessas plataformas, auxiliando o usuário na navegação e na escolha do conteúdo. Propõe-se a constituição de parâmetros teóricos e metodológicos que auxiliem na percepção de como esses sistemas estão organizados, de modo que contribuam com projetos que envolvam a construção de sistemas de recomendação pelo auxílio da taxonomia navegacional em plataformas de streamings audiovisuais.
Title in English
-
Keywords in English
Knowledge Organization System
Navegational Taxonomy
Recommendation system
Streaming Platafform
Taxonomy
Vídeo on Demand
Abstract in English
This research aims to analyze how navigational taxonomy methods can help the recommendation systems of streaming platforms Netflix, Globoplay and Prime Video. For that defines what a media-streaming platform will be and its various typologies, presenting a brief history of the streaming, as well as showing a rapid evolution of information consumption by society and the transformation of communication technologies. We explain how algorithms can influence content recommendation systems and consequently what this implies in users lives. Through bibliographical research on these platforms, the knowledge organization systems and the recommendation systems, it discusses how the methods of a navigational taxonomy helps the organization and the content recommendation system of the streaming platforms, helping the user in navigation and in the choice of content. It is proposed the constitution of theoretical and methodological parameters that support in the perception of how these systems are organized and that contribute with projects that involve the construction of recommendation systems in audiovisual streaming platforms.
 
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Publishing Date
2024-03-19
 
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