Essays about: "music recommendation systems"

Showing result 6 - 10 of 13 essays containing the words music recommendation systems.

1. 6. Collaborative Recommendations for Music Session Instrumentation : Contrasting Graph to ML Based Approaches

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

   Author : Victor Axelsson; [2018]
   Keywords : ;

   Abstract : Digital music composers are required to become proficient with relevant tools necessary for music in their particular domain. The learning curve for acquiring the skills for creative music composing, relative to the respective tooling, can be steep. READ MORE

3. 7. Designing a User-Centered Music Experience for the Smartwatch

   University essay from KTH/Medieteknik och interaktionsdesign, MID

   Author : Oscar Linger; [2018]
   Keywords : User-Centered Design; Smartwatches; Music Experiences; Music Recommendation Systems; Gestures;

   Abstract : With a rapid growth in smartwatch and smartwatch audio technologies, there is a lack of knowledge regarding user needs for smartwatch audio experiences and how those needs can be satisfied through user-centered design. Previous smartwatch user behavior studies suggest that audio app usage is not a primary use case for the smartwatch. READ MORE

4. 8. A Scalable Recommender System for Automatic Playlist Continuation

   University essay from Högskolan i Skövde/Institutionen för informationsteknologi

   Author : Jack Bennett; [2018]
   Keywords : ;

   Abstract : As major companies like Spotify, Deezer and Tidal look to improve their music streamingproducts, they repeatedly opt for features that engage with users and lead to a morepersonalised user experience. Automatic playlist continuation enables these platforms tosupport their users with a seamless and smooth interface to enjoy music, own their experience,and discover new songs and artists. READ MORE

5. 9. Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Oktay Bahceci; [2017]
   Keywords : Information Filtering; Information Retrieval; Search Engine; Search Engines; Recommendation; Music Recommendation; Personalized Recommendation; Personalised Recommendation; Context Aware Recommendation; Recommender Systems; Statistical Learning; Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Artificial Neural Networks; Feed Forward Neural Networks; Convolutional Neural Networks; Recurrent Neural Networks; Deep Neural Networks; Embedding;

   Abstract : Information Filtering and Recommender Systems have been used and has been implemented in various ways from various entities since the dawn of the Internet, and state-of-the-art approaches rely on Machine Learning and Deep Learning in order to create accurate and personalized recommendations for users in a given context. These models require big amounts of data with a variety of features such as time, location and user data in order to find correlations and patterns that other classical models such as matrix factorization and collaborative filtering cannot. READ MORE

6. 10. Exploring drawbacks in music recommender systems : the Spotify case

   University essay from Högskolan i Borås/Akademin för bibliotek, information, pedagogik och IT

   Author : Yiwen Ding; Chang Liu; [2015]
   Keywords : music recommender system; music streaming website; user experience; feedback system; Spotify;

   Abstract : Currently, more and more people use music streaming websites to listen to music, and a music recommendation service is commonly provided on the music streaming websites. A good music recommender system improves people’s user experience of music streaming websites. READ MORE