Sökning: "playlists"

Visar resultat 1 - 5 av 30 uppsatser innehållade ordet playlists.

  1. 1. 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

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

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

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

    Sammanfattning : 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. LÄS MER

  4. 3. Streamingtjänster och plattformsbevakning : En studie om musiklivets nya portvakt i en tid av streamad musik

    Kandidat-uppsats, Uppsala universitet/Institutionen för musikvetenskap

    Författare :Philip Grunditz; [2023]
    Nyckelord :gatekeeping; streaming; music curation; algorithms; playlists; digital platforms;

    Sammanfattning : This paper examines how streaming services, with a particular focus on Spotify, have influenced music consumption through the implementation of algorithmically and humanly curated playlists and recommendation features. By placing the role of streaming services in a historical context, this paper explores streaming services as an extension of previous gatekeeping functions in the music industry. LÄS MER

  5. 4. Assessing the Viability of Random Indexing in Song Recommender Systems

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

    Författare :Erik Rosén; Sead Kozic; [2023]
    Nyckelord :;

    Sammanfattning : This thesis assesses how Random Indexing performs as a recommender system for music recommendations. Recommender systems have gotten more and more important as the amount of content provided gets larger and larger. They are usually focused on either product traits, and how they relate, or users and their past consumption. 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