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 …

The design of recommendation algorithms aware of the user's context has been the subject
of great interest in the scientific community, especially in the music domain where contextual …

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 this article, we present an extensive survey of music information retrieval (MIR) research
into music playlists. Our survey spans more than 20 years, and includes around 300 papers …

Smart cities are one of the emerging domains for computational applications. Many of these
applications may benefit from the ubiquitous computing paradigm to provide better services …

Systems for recommending music have become a popular tool for delivering track
suggestions to users that align with their unique listening habits or preferences. Despite their …

In the current days of information overload, it is nearly impossible to obtain a form of relevant
knowledge from massive information repositories without using information retrieval and …

Recently, the recommendation system has attracted the attention of users as customized
recommendation services have been provided focusing on fashion, video and music. But …

Esta tese de doutorado aborda diretamente o problema de pesquisa:" Como os sistemas de
recomendação musical podem ser aprimorados para integrar o contexto da interação e a …