Sökning: "Music Recommendation Systems"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Music Recommendation Systems.

  1. 1. Andra lyssnar även på... : En kvalitativ studie om användarupplevelsen av Spotifys rekommendationssystem.

    Kandidat-uppsats, Umeå universitet/Institutionen för informatik

    Författare :Camilla Fabricio de Barros; Julia Kinnvall; Willmer Pousette Lilja; [2023]
    Nyckelord :Rekommendationssystem; Spotify; användarupplevelse;

    Sammanfattning : The overload of content in digital services demands a way to filter the content for each individual user. The solution to this problem has come to be recommendation systems, which creates recommendations after the behavior patterns and preferences of each user. LÄS MER

  3. 2. Unboxing The Algorithm : Understandability And Algorithmic Experience In Intelligent Music Recommendation Systems

    Magister-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

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

    Sammanfattning : 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. LÄS MER

  4. 3. Finding time-based listening habits in users music listening history to lower entropy in data

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :John Magnusson; [2021]
    Nyckelord :Data mining; Clustering; Listening habits; Entropy.; Datautvinning; Klusteranalys; Lyssningsvanor; Entropi.;

    Sammanfattning : In a world where information, entertainment and e-commerce are growing rapidly in terms of volume and options, it can be challenging for individuals to find what they want. Search engines and recommendation systems have emerged as solutions, guiding the users. LÄS MER

  5. 4. Automatic Music Recommendation for Businesses : Using a two-stage Membership model for track recommendation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Svante Haapanen Rollenhagen; [2021]
    Nyckelord :Deep Learning; Music Recommendation; Recommendation Systems; Music Informatics.; Djupinlärning; Musikrekommendation; Rekommendationssystem; Musikinformatik.;

    Sammanfattning : This thesis proposes a two-stage recommendation system for providing music recommendations based on seed playlists as inputs. The goal is to help businesses find relevant and brand-fit music to play in their venues. LÄS MER

  7. 5. Content-based music recommendation system : A comparison of supervised Machine Learning models and music features

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Marine Chemeque Rabel; [2020]
    Nyckelord :;

    Sammanfattning : As streaming platforms have become more and more popular in recent years and music consumption has increased, music recommendation has become an increasingly relevant issue. Music applications are attempting to improve their recommendation systems in order to offer their users the best possible listening experience and keep them on their platform. LÄS MER