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 …
Context-aware recommender systems in the music domain: A systematic literature review
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 …
of great interest in the scientific community, especially in the music domain where contextual …
Collaborative filtering and kNN based recommendation to overcome cold start and sparsity issues: A comparative analysis
Collaborative Filtering (CF) has intrigued several researchers whose goal is to enhance
Recommender System's performance by mitigating their drawbacks. CF's common idea is to …
Recommender System's performance by mitigating their drawbacks. CF's common idea is to …
Video emotion analysis enhanced by recognizing emotion in video comments
Video emotion analysis is one of the hottest topics in the video understanding community to
cognize the emotion in videos for affective computing, video recommendation, and so on …
cognize the emotion in videos for affective computing, video recommendation, and so on …
A novel emotion-aware hybrid music recommendation method using deep neural network
S Wang, C Xu, AS Ding, Z Tang - Electronics, 2021 - mdpi.com
Emotion-aware music recommendations has gained increasing attention in recent years, as
music comes with the ability to regulate human emotions. Exploiting emotional information …
music comes with the ability to regulate human emotions. Exploiting emotional information …
The impact of COVID-19 on online music listening behaviors in light of listeners' social interactions
This study investigated the global changes in online music listening behaviors in response
to COVID-19 and its restrictions (such as quarantine, school and workplace closures, and …
to COVID-19 and its restrictions (such as quarantine, school and workplace closures, and …
A deep neural network-based hybrid recommender system with user-user networks
In today's digital age, choosing the right product, web page, news article, or even a research
paper like this one from an extensive number of options is one of the most tedious tasks. The …
paper like this one from an extensive number of options is one of the most tedious tasks. The …
COSMIC: Music emotion recognition combining structure analysis and modal interaction
As a common multi-modal information carrier, music is frequently used to deliver emotions
with lyrics and melodies. Besides lyrics (text) and melodies (audio), the structure of a song is …
with lyrics and melodies. Besides lyrics (text) and melodies (audio), the structure of a song is …
Music recommendation algorithms based on knowledge graph and multi-task feature learning
X Liu, Z Yang, J Cheng - Scientific Reports, 2024 - nature.com
During music recommendation scenarios, sparsity and cold start problems are inevitable.
Auxiliary information has been utilized in music recommendation algorithms to provide users …
Auxiliary information has been utilized in music recommendation algorithms to provide users …
MMusic: a hierarchical multi-information fusion method for deep music recommendation
J Xu, M Gan, X Zhang - Journal of Intelligent Information Systems, 2023 - Springer
With the explosive growth of music volume, music recommendation systems have become
an important tool for online music platforms to alleviate the information overload problem …
an important tool for online music platforms to alleviate the information overload problem …