Essays about: "streaming music services"

Showing result 1 - 5 of 44 essays containing the words streaming music services.

1. 1. Song Popularity Prediction with Deep Learning : Investigating predictive power of low level audio features

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Gustaf Holst; Jan Niia; [2023]
   Keywords : machine learning; deep learning; audio;

   Abstract : Today streaming services are the most popular way to consume music, and with this the field of Music Information Retrieval (MIR) has exploded. Tangy market is a music investment platform and they want to use MIR techniques to estimate the value of not yet released songs. READ MORE

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

   University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

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

   Abstract : 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. READ MORE

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

   University essay from Lunds universitet/Institutionen för strategisk kommunikation

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

   Abstract : 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. READ MORE

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

   University essay from Blekinge Tekniska Högskola

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

   Abstract : 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. READ MORE

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

   University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

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

   Abstract : 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. READ MORE