Sökning: "music recommender system"
Visar resultat 1 - 5 av 9 uppsatser innehållade orden music recommender system.
1. Assessing the Viability of Random Indexing in Song Recommender Systems
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
2. Online networking and real-time interaction for musicians
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Despite the many technological advancements made in the music industry in recent years, there is still not a single widely adopted platform for musicians to play music together online. In 2020, the Covid-19 pandemic and the subsequent quarantine pushed the need for such a platform into the spotlight. LÄS MER
3. Learning User Preferences for Recommending Radio Channels in a Music Service
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Playing music is considered essential for some businesses. When entering a clothing store, a café or a gym, there is most often some music playing in the background. The employees do not have the ability to select music optimally to maximize profit. LÄS MER
4. A Scalable Recommender System for Automatic Playlist Continuation
Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : 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. LÄS MER
5. Music Predictions Using Deep Learning. Could LSTM Networks be the New Standard for Collaborative Filtering?
Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)Sammanfattning : Predicting the product a customer would like to buy is an increasingly important field of study and there are several different recommender system models that are used to make recommendations for users. Deep learning has shown effective results in a variety of predictive tasks but there haven’t been much research concerning its usage in recommender systems. LÄS MER
