Sökning: "music-streaming services"

Visar resultat 1 - 5 av 51 uppsatser innehållade orden music-streaming services.

  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. Framing theory on music streaming platforms : How vocabulary influences the user experience

    Magister-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Lotte van Bree; [2023]
    Nyckelord :Framing Theory; Wording Effect; User Experience; Personalization; Satisfaction; Expectations;

    Sammanfattning : Music streaming services aim to provide users with personalized content to avoid information overload and increase the user experience. Besides the recommender systems that are involved to ensure users are provided with their musical preferences, vocabulary can play a significant role in achieving personalization. LÄS MER

  4. 3. Viral Vibes: Mastering Music Marketing on TikTok - A quantitative analysis of consumer journeys from TikTok to music streaming services

    Kandidat-uppsats, Lunds universitet/Institutionen för strategisk kommunikation

    Författare :Hannah Höijer; Julia Nordin Kehlmeier; [2023]
    Nyckelord :awareness; consideration; conversion; viral marketing; co-creation; UGC; TikTok; social media; strategic communication; Social Sciences;

    Sammanfattning : This bachelor’s thesis aimed to investigate what drives the conversion of music from TikTok to streaming services amongst TikTok users. The study is based on marketing funnel models, such as AIDA and the simplified funnel including the three steps: awareness, consideration, and conversion. LÄS MER

  5. 4. Comparison of Machine learningalgorithms on Predicting Churn withinMusic streaming service

    Kandidat-uppsats, Blekinge Tekniska Högskola

    Författare :Lahari Gaddam; Sree Lakshmi Hiranmayee Kadali; [2022]
    Nyckelord :Churn Prediction; Classification Algorithms; Machine Learning; Music Stream; Supervised Learning.;

    Sammanfattning : Background: Customer churn prediction is one of the most popular part of bigbusinesses and often help the companies in customer retention and revenue generation.Customer churn may lead to huge loss of revenue and is important to analyzeand determine the cause for churn. LÄS MER

  7. 5. What's in a name? How the vocabulary of personalised playlists affects user's expectation and satisfactions in music streaming services

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Nina Boksjö; Naomi Petricioiu; [2022]
    Nyckelord :Personalisation; Recommender Systems; Vocabulary; Spotify; Personalised Messages; Streaming Services; User Interface; Expectation; Satisfaction; User Experience;

    Sammanfattning : Background: The following study focuses on the area of personalisation within streaming services and how vocabulary of playlist names and categories affect expectations and satisfactions. The wording of personalised items is important to convey that content is directly made for a user, yet there are limited studies that explore what users anticipate and if the message conveys correct information to then lead to satisfaction. LÄS MER