Current challenges and visions in music recommender systems research
Music recommender systems (MRSs) have experienced a boom in recent years, thanks to
the emergence and success of online streaming services, which nowadays make available …
the emergence and success of online streaming services, which nowadays make available …
Contextual music information retrieval and recommendation: State of the art and challenges
M Kaminskas, F Ricci - Computer Science Review, 2012 - Elsevier
Increasing amount of online music content has opened new opportunities for implementing
new effective information access services–commonly known as music recommender …
new effective information access services–commonly known as music recommender …
Music recommendation
O Celma - Music recommendation and discovery: The long tail …, 2010 - Springer
This chapter focuses on the recommendation problem in the music domain. Section 3.1
presents some common use cases in music recommendation. After that, Sect. 3.2, discusses …
presents some common use cases in music recommendation. After that, Sect. 3.2, discusses …
Music similarity measurement and recommendation system using convolutional neural networks
M Sheikh Fathollahi, F Razzazi - International Journal of Multimedia …, 2021 - Springer
Due to the massive and growing volume of music on the internet, and the lack of proper
management on this massive volume, similarity and music recommendation systems have …
management on this massive volume, similarity and music recommendation systems have …
[PDF][PDF] Hybrid Collaborative and Content-based Music Recommendation Using Probabilistic Model with Latent User Preferences.
This paper presents a hybrid music recommendation method that solves problems of two
prominent conventional methods: collaborative filtering and content-based recommendation …
prominent conventional methods: collaborative filtering and content-based recommendation …
An efficient hybrid music recommender system using an incrementally trainable probabilistic generative model
This paper presents a hybrid music recommender system that ranks musical pieces while
efficiently maintaining collaborative and content-based data, ie, rating scores given by users …
efficiently maintaining collaborative and content-based data, ie, rating scores given by users …
Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions
Social tagging systems have grown in popularity over the Web in the last years on account
of their simplicity to categorize and retrieve content using open-ended tags. The increasing …
of their simplicity to categorize and retrieve content using open-ended tags. The increasing …
Considering emotions and contextual factors in music recommendation: a systematic literature review
In recent years, several music recommendation systems have been developed with the aim
of incorporating valuable information into the user's modeling and recommendation process …
of incorporating valuable information into the user's modeling and recommendation process …
[PDF][PDF] The Role of Emotions in Context-aware Recommendation.
Context-aware recommender systems try to adapt to users' preferences across different
contexts and have been proven to provide better predictive performance in a number of …
contexts and have been proven to provide better predictive performance in a number of …
Music recommendation based on acoustic features and user access patterns
Music recommendation is receiving increasing attention as the music industry develops
venues to deliver music over the Internet. The goal of music recommendation is to present …
venues to deliver music over the Internet. The goal of music recommendation is to present …