Recommender systems leveraging multimedia content
Recommender systems have become a popular and effective means to manage the ever-
increasing amount of multimedia content available today and to help users discover …
increasing amount of multimedia content available today and to help users discover …
Music information retrieval: Recent developments and applications
We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
Music recommender systems
This chapter gives an introduction to music recommender systems research. We highlight
the distinctive characteristics of music, as compared to other kinds of media. We then …
the distinctive characteristics of music, as compared to other kinds of media. We then …
Recommender systems: an overview, research trends, and future directions
Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …
users to find items online by providing suggestions that closely match their interest. This …
Sound and music recommendation with knowledge graphs
The Web has moved, slowly but steadily, from a collection of documents towards a collection
of structured data. Knowledge graphs have then emerged as a way of representing the …
of structured data. Knowledge graphs have then emerged as a way of representing the …
Exploration in interactive personalized music recommendation: a reinforcement learning approach
Current music recommender systems typically act in a greedy manner by recommending
songs with the highest user ratings. Greedy recommendation, however, is suboptimal over …
songs with the highest user ratings. Greedy recommendation, however, is suboptimal over …
Content-driven music recommendation: Evolution, state of the art, and challenges
The music domain is among the most important ones for adopting recommender systems
technology. In contrast to most other recommendation domains, which predominantly rely on …
technology. In contrast to most other recommendation domains, which predominantly rely on …
Music recommendation systems: Techniques, use cases, and challenges
This chapter gives an introduction to music recommender systems, considering the unique
characteristics of the music domain. We take a user-centric perspective, by organizing our …
characteristics of the music domain. We take a user-centric perspective, by organizing our …
A deep multimodal approach for cold-start music recommendation
An increasing amount of digital music is being published daily. Music streaming services
often ingest all available music, but this poses a challenge: how to recommend new artists …
often ingest all available music, but this poses a challenge: how to recommend new artists …
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 …