On the public citation graph

Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network

https://doi.org/10.1145/3733233
0 signed · 80 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/jrpe.1999.2275openalex-snapshot
The Distribution of Basic Emotions in Everyday Life: A State and Trait Perspective from Experience Sampling Data
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_13openalex-snapshot
Music Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-031-62362-2_5openalex-snapshot
Tag-Aware Recommendation Based on Attention Mechanism and Disentangled Graph Neural Network
inferredcites →https://doi.org/10.1007/978-3-319-29659-3openalex-snapshot
Recommender Systems: The Textbook
inferredcites →https://doi.org/10.1007/978-981-99-6906-7_1openalex-snapshot
Emotion-Aware Music Recommendations: A Transfer Learning Approach Using Facial Expressions
inferredcites →https://doi.org/10.1007/s10339-018-0872-7openalex-snapshot
The influence of induced mood on music preference
inferredcites →https://doi.org/10.1007/s10618-022-00859-8openalex-snapshot
Neural content-aware collaborative filtering for cold-start music recommendation
inferredcites →https://doi.org/10.1007/s11042-018-6733-7openalex-snapshot
Personalized smart home audio system with automatic music selection based on emotion
inferredcites →https://doi.org/10.1016/j.artint.2021.103589openalex-snapshot
Bayesian feature interaction selection for factorization machines
inferredcites →https://doi.org/10.1016/j.asoc.2024.112034openalex-snapshot
A GAI-based multi-scale convolution and attention mechanism model for music emotion recognition and recommendation from physiological data
inferredcites →https://doi.org/10.1016/j.cosrev.2024.100618openalex-snapshot
Content-driven music recommendation: Evolution, state of the art, and challenges
inferredcites →https://doi.org/10.1016/j.eswa.2015.08.029openalex-snapshot
Exploring user emotion in microblogs for music recommendation
inferredcites →https://doi.org/10.1016/j.eswa.2020.114382openalex-snapshot
Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors
inferredcites →https://doi.org/10.1016/j.eswa.2022.119420openalex-snapshot
SARWAS: Deep ensemble learning techniques for sentiment based recommendation system
inferredcites →https://doi.org/10.1016/j.ijhcs.2018.04.004openalex-snapshot
Moodplay: Interactive music recommendation based on Artists’ mood similarity
inferredcites →https://doi.org/10.1016/j.ipm.2015.03.004openalex-snapshot
Studying emotion induced by music through a crowdsourcing game
inferredcites →https://doi.org/10.1016/j.ipm.2022.103256openalex-snapshot
An emotion-based personalized music recommendation framework for emotion improvement
inferredcites →https://doi.org/10.1016/j.physa.2013.11.024openalex-snapshot
Information filtering via collaborative user clustering modeling
inferredcites →https://doi.org/10.1016/j.procs.2023.01.021openalex-snapshot
Music recommendation based on affective image content analysis
inferredcites →https://doi.org/10.1016/j.procs.2023.01.098openalex-snapshot
LyEmoBERT: Classification of lyrics’ emotion and recommendation using a pre-trained model
inferredcites →https://doi.org/10.1037/a0013505openalex-snapshot
An experience sampling study of emotional reactions to music: Listener, music, and situation.
inferredcites →https://doi.org/10.1037/amp0001054openalex-snapshot
Context reconsidered: Complex signal ensembles, relational meaning, and population thinking in psychological science.
inferredcites →https://doi.org/10.1037/emo0000644openalex-snapshot
Personality traits and emotion regulation: A targeted review and recommendations.
inferredcites →https://doi.org/10.1038/s41562-018-0508-zopenalex-snapshot
Global music streaming data reveal diurnal and seasonal patterns of affective preference
inferredcites →https://doi.org/10.1080/02699930902985894openalex-snapshot
Variety is the spice of life: A psychological construction approach to understanding variability in emotion
inferredcites →https://doi.org/10.1080/15213269.2012.693812openalex-snapshot
Re-Exploring the Influence of Sad Mood on Music Preference
inferredcites →https://doi.org/10.1080/15213269.2013.826589openalex-snapshot
Sad Mood and Music Choice: Does the Self-Relevance of the Mood-Eliciting Stimulus Moderate Song Preference?
inferredcites →https://doi.org/10.1109/access.2021.3119464openalex-snapshot
Emotion Wheel Attention-Based Emotion Distribution Learning
inferredcites →https://doi.org/10.1109/icassp.2017.7953133openalex-snapshot
Mood detection from daily conversational speech using denoising autoencoder and LSTM
inferredcites →https://doi.org/10.1109/iciccs56967.2023.10142330openalex-snapshot
A Novel Emotion based Music Recommendation System using CNN
inferredcites →https://doi.org/10.1109/icme.2014.6890172openalex-snapshot
LJ2M dataset: Toward better understanding of music listening behavior and user mood
inferredcites →https://doi.org/10.1109/mis.2020.3026000openalex-snapshot
An Emotional Recommender System for Music
inferredcites →https://doi.org/10.1109/rteict.2017.8256863openalex-snapshot
Emotion based mood enhancing music recommendation
inferredcites →https://doi.org/10.1109/tfuzz.2020.2966182openalex-snapshot
Determine the Number of Unknown Targets in Open World Based on Elbow Method
inferredcites →https://doi.org/10.1109/tkde.2019.2947040openalex-snapshot
Label Enhancement for Label Distribution Learning
inferredcites →https://doi.org/10.1109/tkde.2022.3145690openalex-snapshot
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
inferredcites →https://doi.org/10.1109/tmm.2021.3114545openalex-snapshot
Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation
inferredcites →https://doi.org/10.1109/tnnls.2020.2984665openalex-snapshot
CAME: Content- and Context-Aware Music Embedding for Recommendation
inferredcites →https://doi.org/10.1109/tnnls.2023.3258976openalex-snapshot
Adaptive Weighted Ranking-Oriented Label Distribution Learning
inferredcites →https://doi.org/10.1111/j.1745-6916.2006.00003.xopenalex-snapshot
Are Emotions Natural Kinds?
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1145/1102351openalex-snapshot
Proceedings of the 22nd international conference on Machine learning - ICML '05
inferredcites →https://doi.org/10.1145/2348283.2348373openalex-snapshot
Exploring social influence for recommendation
inferredcites →https://doi.org/10.1145/2542205.2542206openalex-snapshot
A survey of music similarity and recommendation from music context data
inferredcites →https://doi.org/10.1145/2846092openalex-snapshot
On Effective Location-Aware Music Recommendation
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3331184.3331196openalex-snapshot
Bayesian Personalized Feature Interaction Selection for Factorization Machines
inferredcites →https://doi.org/10.1145/3340631.3394874openalex-snapshot
Personality Correlates of Music Audio Preferences for Modelling Music Listeners
inferredcites →https://doi.org/10.1145/336992.337035openalex-snapshot
Recommender systems in e-commerce
inferredcites →https://doi.org/10.1145/3397271.3401330openalex-snapshot
Sentiment-guided Sequential Recommendation
inferredcites →https://doi.org/10.1145/3397481.3450700openalex-snapshot
Interactive Music Genre Exploration with Visualization and Mood Control
inferredcites →https://doi.org/10.1145/3522672openalex-snapshot
Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation
inferredcites →https://doi.org/10.1145/3523227.3547378openalex-snapshot
Flow Moods: Recommending Music by Moods on Deezer
inferredcites →https://doi.org/10.1145/3550333openalex-snapshot
Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets
inferredcites →https://doi.org/10.1145/3592853openalex-snapshot
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation
inferredcites →https://doi.org/10.1145/3626243openalex-snapshot
MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games
inferredcites →https://doi.org/10.1145/3637873openalex-snapshot
Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform
inferredcites →https://doi.org/10.1177/0305735614540360openalex-snapshot
When you’re down and troubled: Views on the regulatory power of music
inferredcites →https://doi.org/10.1177/0305735617724883openalex-snapshot
Personal and situational influences on the functions of music listening
inferredcites →https://doi.org/10.1207/s15327957pspr1001_2openalex-snapshot
Solving the Emotion Paradox: Categorization and the Experience of Emotion
inferredcites →https://doi.org/10.1287/isre.2020.0277openalex-snapshot
Dynamic Bayesian Network–Based Product Recommendation Considering Consumers’ Multistage Shopping Journeys: A Marketing Funnel Perspective
inferredcites →https://doi.org/10.1515/9783110552485-009openalex-snapshot
9. User awareness in music recommender systems
inferredcites →https://doi.org/10.1609/aaai.v34i01.5352openalex-snapshot
PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms
inferredcites →https://doi.org/10.1609/aaai.v37i13.26911openalex-snapshot
Emotion-Aware Music Recommendation
inferredcites →https://doi.org/10.18690/978-961-286-043-1.3openalex-snapshot
Music Recommender Systems Challenges and Opportunities for Non-Superstar Artists
inferredcites →https://doi.org/10.24963/ijcai.2017/239openalex-snapshot
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
inferredcites →https://doi.org/10.48786/edbt.2022.42openalex-snapshot
Evaluation of Algorithms for Interaction-Sparse Recommendations: Neural Networks don't Always Win [Experiments & Analysis]
inferredcites →https://doi.org/10.5860/choice.48-0770openalex-snapshot
Handbook of music and emotion: theory, research, applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-29548-4_8openalex-snapshot
What If Your Emotion Could Curate Your Playlist? Emofy: An EEG-Based Emotion-Driven Personalized Music Recommendation System
inferred← citeshttps://doi.org/10.1007/s00371-026-04615-7openalex-snapshot
Low-resource video-conditioned music generation via reliability-aware visual–text–audio fusion
inferred← citeshttps://doi.org/10.1007/s42486-026-00240-4openalex-snapshot
IMJP-Net: inertial–music joint prediction for emotion-aware recommendation via smart-glasses sensing
inferred← citeshttps://doi.org/10.1007/s44163-026-01270-8openalex-snapshot
Music emotion classification based on deep neural network and its application in context aware recommendation system
inferred← citeshttps://doi.org/10.1016/j.aej.2026.04.018openalex-snapshot
Emotion-modulated non-stationary latent transition for multimodal sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.entcom.2026.101181openalex-snapshot
Multimodal emotion–experience-driven adaptive music interaction in VR/AR for immersive entertainment
inferred← citeshttps://doi.org/10.1109/etaact69135.2026.11541512openalex-snapshot
A Multimodal Mood-Aware Music Recommendation Framework Using EfficientNet-Based Facial Emotion Recognition and Dense Prediction Transformers
inferred← citeshttps://doi.org/10.1109/icsece65727.2025.11257040openalex-snapshot
Research on Aesthetic Preference Algorithms and Models for Short Video Creation Based on Deep Learning
inferred← citeshttps://doi.org/10.1145/3731715.3733284openalex-snapshot
CABRec: A Category-Aware Bundle Recommendation Model
inferred← citeshttps://doi.org/10.1145/3768801.3768917openalex-snapshot
An Intelligent Management System for Music Education Based on Big Data and Deep Learning
inferred← citeshttps://doi.org/10.4018/ijcini.416292openalex-snapshot
Research on the Communication Effects of Chinese Traditional Ethnic Music Culture Based on Online Community Interaction Data
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.