Recommender systems (RSs) have become an inseparable part of our everyday lives. They
help us find our favorite items to purchase, our friends on social networks, and our favorite …

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 …

Music genre classification is one part of the music recommendation process, which is a
challenging job. This research proposes the classification of music genres using …

This report identifies two main bodies of academic research that pay sustained attention to
algorithmic recommendation in the realm of culture: a) academic computer science and b) …

Personalization of playlists is a common feature in music streaming services, but
conventional techniques, such as collaborative filtering, rely on explicit assumptions …

Music recommendation systems have been widely used to suggest songs to users based on
their listening history or interests. Traditionally, most recommender systems have focused on …

A music recommendation system aims to proactively suggest items of interest to users based
on their behavior, purpose, or previous listening. Traditionally, recommendations are …

In recent years, the development of digital music operations has gained worldwide attention
and contributed to the progress of related research. However, no review article provides a …

Slate recommendation is a technique commonly used on streaming platforms and e-
commerce sites to present multiple items together. A significant challenge with slate …

Efficient and accurate personalized recommendation algorithms can effectively improve user
experience satisfaction, in order to improve the performance of user personalized …