Essays about: "music recommendation"

Showing result 1 - 5 of 24 essays containing the words music recommendation.

1. 1. The TikTok effect: How TikTok is shaping the way we consume music

   University essay from Lunds universitet/Företagsekonomiska institutionen

   Author : Greta Ranff; Loui Degener; [2023]
   Keywords : consumer behavior; music consumption; social media; TikTok; recommendation algorithms; marketing platforms; Business and Economics;

   Abstract : Digitalization has in recent years transformed the music industry and how people consume music. Simultaneously, the social media app TikTok has emerged as a major player in marketing, using its unique algorithmic structure and user-generated content to become a powerful marketing tool for musicians and record labels alike. READ MORE

3. 2. Generating personalized music playlists based on desired mood and individual listening data

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Jennifer Svensson; [2023]
   Keywords : music recommendation; context-based music listening; mood regulation; affect regulation; Spotify Audio Features; music-mood classification; context-aware music recommendation;

   Abstract : Music listening is considered one of the most ubiquitous activities in everyday life, and one of the main reasons why people listen is to affect and regulate their mood. The vast availability and unlimited access of music has made it difficult to find relevant music that fits both the context and the preferences of the music listener. READ MORE

4. 3. Individual genre: how recommendations narrow the scene for music discovery practices

   University essay from Göteborgs universitet/Graduate School

   Author : Ewelina Dereman; Ebba Varnauskas Mårtensson; [2021-07-01]
   Keywords : User studies; Practice theory; Recommendations; Music streaming; Consumption;

   Abstract : There are a growing number of platform business models that offer digital infrastructures that connect various stakeholders, where data, and therefore user engagement, plays a pivotal role in sustaining and evolving the platform network. Recommendations sort out any information deemed irrelevant to the individual platform user, and thereby guide users through any information overflow. READ MORE

5. 4. Unboxing The Algorithm : Understandability And Algorithmic Experience In Intelligent Music Recommendation Systems

   University essay from Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

   Author : Anna Marie Schröder; [2021]
   Keywords : algorithmic experience; music recommendation systems; transparency; interaction design; machine learning; music streaming;

   Abstract : After decades of black-boxing the existence of algorithms in technologies of daily need, users lack confidence in handling them. This thesis study investigates the use situation of intelligent music recommendation systems and explores how understandability as a principle drawn from sociology, design, and computing can enhance the algorithmic experience. READ MORE

6. 5. Classification of Affective Emotion in Musical Themes : How to understand the emotional content of the soundtracks of the movies?

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Paula Diaz Banet; [2021]
   Keywords : Music emotion recognition; Deep learning; Feature extraction; VGGish; Mel-frequency Cepstral Coefficients.; Music emotion recognition; Deep learning; Särdragsextraktion; VGGish; Mel-frequency Cepstral Coefficients;

   Abstract : Music is created by composers to arouse different emotions and feelings in the listener, and in the case of soundtracks, to support the storytelling of scenes. The goal of this project is to seek the best method to evaluate the emotional content of soundtracks. READ MORE