Algorithmic Personalization in Consumption of On Demand Content: an analysis of Spotify® patents
Spotify® uses data mining and profiling to provide a personalized experience for its users. This study analyzes Spotify® patent applications related to algorithmic user experience personalization. Using Questel Orbit Intelligence®, 18 patent applications were identified, grouped into three categorie...
| Autores: | , , |
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| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2024 |
| País: | Brasil |
| Recursos: | Universidade Federal da Bahia (UFBA) |
| Repositório: | Cadernos de Prospecção (Online) |
| Idioma: | português |
| OAI Identifier: | oai:ojs.periodicos.ufba.br:article/56107 |
| Acesso em linha: | https://periodicos.ufba.br/index.php/nit/article/view/56107 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Streaming Personalização algorítmica Recomendação de conteúdo. Algorithmic customization Content recommendation. |
| Resumo: | Spotify® uses data mining and profiling to provide a personalized experience for its users. This study analyzes Spotify® patent applications related to algorithmic user experience personalization. Using Questel Orbit Intelligence®, 18 patent applications were identified, grouped into three categories. The first addresses technical criteria for recommendations, the second focuses on users' subjective preferences, while the third presents distinct characteristics. These requests reflect Spotify®'s efforts to provide a personalized experience, including suggesting content through algorithmic means. Some requests suggest personalizing ads based on predictions of users' mood and location. This analysis confirms the presence of algorithmic personalization on the platform and highlights concerns about the serving of advertisements, in addition to the ethical limits of the use of artificial intelligence, indicating the need for regulation to mitigate possible risks to consumers or the creative industry. |
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