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Biblioteca Digital - Universidad Icesi
Master thesis . 2026
License: CC BY NC ND
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Sistema recomendador de canciones de artistas emergentes basado en playlist de canciones populares

Authors: Ágredo Mosquera, Beycker Alexis;

Sistema recomendador de canciones de artistas emergentes basado en playlist de canciones populares

Abstract

La música ha sido reconocida a lo largo de la historia como un medio poderoso para influir en las emociones humanas. Desde tiempos antiguos, las culturas han utilizado la música como una herramienta para expresar sentimientos, promover el bienestar emocional y ejorar la calidad de vida. Actualmente, con el elevado crecimiento de las plataformas de streaming de audio como Spotify, Deezer y Amazon Prime Music, la relación entre la música y las emociones ha tomado mayor relevancia debido a la capacidad que tienen estas plataformas para llegar a millones de usuarios. Uno de los avances más estacados en el campo de la música es el desarrollo de sistemas de ecomendación, que permiten personalizar la experiencia de escucha de cada usuario, ajustándose a sus preferencias musicales y estados emocionales.

Music has been recognized throughout history as a powerful medium for influencing human emotions. Since ancient times, cultures have used music as a tool to express feelings, promote emotional well-being, and improve quality of life. Currently, with the rapid growth of audio streaming platforms like Spotify, Deezer, and Amazon Prime Music, the relationship between music and emotions has become even more relevant due to these platforms' ability to reach millions of users. One of the most significant advances in the field of music is the development of recommendation systems, which allow for a personalized listening experience for each user, tailored to their musical preferences and emotional states.

Introducción -- ¿Cuál es la situación de interés? -- ¿Cuál es el problema? -- ¿Para quién es un problema? -- ¿Por qué es un problema? -- ¿Cuáles son las consecuencias del problema? -- Antecedentes -- Contexto -- Descripción del problema -- Objetivos -- Objetivo general -- Objetivos específicos -- Marco Teórico -- Estado del Arte -- Metodología -- Conclusiones y trabajo futuro -- Referencias bibliográficas -- Lista de acrónimos

Trabajo de grado para optar al título de Magister en Ciencia de Datos

Magíster

Country
Colombia
Related Organizations
Keywords

Tesis de Maestría en Ciencia de Datos, Algoritmos, Psicología de la música, Big data analysis, Análisis de datos masivos, Streaming services, Servicios de streaming, Music Information Retrieval (MIR), Sistemas de recomendación, Aprendizaje automático, Music psychology, Music Emotion Recognition (MER), Machine learning, Recommender systems, Reconocimiento de emociones en la música, Recuperación de información musical, Algorithms

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green