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A Novel Emotion-Aware Hybrid Music Recommendation Method Using Deep Neural Network
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Are there theory of mind regions in the brain? A review of the neuroimaging literature
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Music Recommender Systems
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A Semantically Enhanced Tag-Based Music Recommendation Using Emotion Ontology
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Music Emotion Recognition: From Content- to Context-Based Models
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Emousic: Emotion and Activity-Based Music Player Using Machine Learning
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A Survey of Music Recommendation Systems with a Proposed Music Recommendation System
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How rock music videos can change what is seen when boy meets girl: Priming stereotypic appraisal of social interactions
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Affective content analysis of music emotion through EEG
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Sequence-based context-aware music recommendation
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Computational Model of Emotion Generation for Human–Robot Interaction Based on the Cognitive Appraisal Theory
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Music emotion classification and context-based music recommendation
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An emotion-aware music recommender system: bridging the user’s interaction and music recommendation
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Effects of age on the circadian system
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Metrics, similarity, and sets
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A novel POI recommendation method based on trust relationship and spatial–temporal factors
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A novel method for personalized music recommendation
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Unsupervised speaker segmentation with residual phase and MFCC features
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Exploring user emotion in microblogs for music recommendation
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Tag-aware dynamic music recommendation
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Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors
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EARS: Emotion-aware recommender system based on hybrid information fusion
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Emotion recognition using deep learning approach from audio–visual emotional big data
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A novel recommendation method based on social network using matrix factorization technique
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A big-data oriented recommendation method based on multi-objective optimization
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The structural neuroanatomy of music emotion recognition: Evidence from frontotemporal lobar degeneration
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How to assess circadian rhythm in humans: A review of literature
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Circadian and infradian rhythms in mood
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Musical emotions: Predicting second-by-second subjective feelings of emotion from low-level psychoacoustic features and physiological measurements.
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The eyes have it: The role of attention in cognitive reappraisal of social stimuli.
inferredcites →https://doi.org/10.1037/h0094171openalex-snapshot
A cognitive theory of emotion and aesthetics in music.
inferredcites →https://doi.org/10.1049/cp:20051486openalex-snapshot
XPod - a human activity and emotion aware mobile music player
inferredcites →https://doi.org/10.1073/pnas.1702247114openalex-snapshot
Self-report captures 27 distinct categories of emotion bridged by continuous gradients
inferredcites →https://doi.org/10.1080/02699930801976770openalex-snapshot
Dysphoria and memory for emotional material: A diffusion-model analysis
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One versus many: Capturing the use of multiple emotion regulation strategies in response to an emotion-eliciting stimulus
inferredcites →https://doi.org/10.1080/09291010600903692openalex-snapshot
Procedures for numerical analysis of circadian rhythms
inferredcites →https://doi.org/10.1109/asonam.2012.184openalex-snapshot
Studying User Footprints in Different Online Social Networks
inferredcites →https://doi.org/10.1109/cisp.2008.623openalex-snapshot
Emotion Classification of Infant Voice Based on Features Derived from Teager Energy Operator
inferredcites →https://doi.org/10.1109/fg.2011.5771357openalex-snapshot
Emotion representation, analysis and synthesis in continuous space: A survey
inferredcites →https://doi.org/10.1109/iacs.2019.8809156openalex-snapshot
RecDNNing: a recommender system using deep neural network with user and item embeddings
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T-RECSYS: A Novel Music Recommendation System Using Deep Learning
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Detection of stress and emotion in speech using traditional and FFT based log energy features
inferredcites →https://doi.org/10.1109/iciip.2015.7414739openalex-snapshot
Emotion recognition based on physiological signals using valence-arousal model
inferredcites →https://doi.org/10.1109/icis.2017.7960070openalex-snapshot
Naive Bayes classifiers for music emotion classification based on lyrics
inferredcites →https://doi.org/10.1109/icitbs.2019.00112openalex-snapshot
Music Personalized Recommendation System Based on Hybrid Filtration
inferredcites →https://doi.org/10.1109/icme.2015.7177504openalex-snapshot
Content-based music recommendation using underlying music preference structure
inferredcites →https://doi.org/10.1109/msp.2018.2874383openalex-snapshot
Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach
inferredcites →https://doi.org/10.1109/tbme.2010.2048568openalex-snapshot
EEG-Based Emotion Recognition in Music Listening
inferredcites →https://doi.org/10.1109/tce.2012.6227467openalex-snapshot
Music recommendation system using emotion triggering low-level features
inferredcites →https://doi.org/10.1109/tce.2015.7298296openalex-snapshot
Music recommendation system based on user's sentiments extracted from social networks
inferredcites →https://doi.org/10.1109/tce.2018.2844736openalex-snapshot
Emotion Based Music Recommendation System Using Wearable Physiological Sensors
inferredcites →https://doi.org/10.1111/1467-8721.00165openalex-snapshot
Music: A Link Between Cognition and Emotion
inferredcites →https://doi.org/10.1126/science.aah4967openalex-snapshot
Circadian physiology of metabolism
inferredcites →https://doi.org/10.1145/2168752.2168754openalex-snapshot
Machine Recognition of Music Emotion
inferredcites →https://doi.org/10.1145/2393347.2396494openalex-snapshot
The acousticvisual emotion guassians model for automatic generation of music video
inferredcites →https://doi.org/10.1145/2647868.2654940openalex-snapshot
Improving Content-based and Hybrid Music Recommendation using Deep Learning
inferredcites →https://doi.org/10.1145/2846092openalex-snapshot
On Effective Location-Aware Music Recommendation
inferredcites →https://doi.org/10.1145/3123266.3123408openalex-snapshot
Multi-scale Context Based Attention for Dynamic Music Emotion Prediction
inferredcites →https://doi.org/10.1145/3240323.3240412openalex-snapshot
User preference learning in multi-criteria recommendations using stacked auto encoders
inferredcites →https://doi.org/10.1145/3269206.3269278openalex-snapshot
Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network
inferredcites →https://doi.org/10.11591/ijece.v8i3.pp1720-1730openalex-snapshot
Music Emotion Classification based on Lyrics-Audio using Corpus based Emotion
inferredcites →https://doi.org/10.1177/0146167220980882openalex-snapshot
The Influence of Daily Events on Emotion Regulation and Well-Being in Daily Life
inferredcites →https://doi.org/10.1523/jneurosci.19-01-00040.1999openalex-snapshot
A Mathematical Model for the Intracellular Circadian Rhythm Generator
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/10.2147/prbm.s303239openalex-snapshot
Understanding the Relationship Between Tourists’ Consumption Behavior and Their Consumption Substitution Willingness Under Unusual Environment
inferredcites →https://doi.org/10.2299/jsp.16.231openalex-snapshot
Windowless-Autocorrelation-Based Cepstrum Method for Pitch Extraction of Noisy Speech
inferredcites →https://doi.org/10.2501/ijmr-2017-050openalex-snapshot
The EU General Data Protection Regulation (GDPR): European Regulation that has a Global Impact
inferredcites →https://doi.org/10.26623/themessenger.v11i1.817openalex-snapshot
Music and Its Familiarity Affection on Audience Decision Making
inferredcites →https://doi.org/10.2991/ncce-18.2018.141openalex-snapshot
A Survey of Music Personalized Recommendation System
inferredcites →https://doi.org/10.3233/ida-170878openalex-snapshot
Effective social content-based collaborative filtering for music recommendation
inferredcites →https://doi.org/10.3389/fams.2019.00044openalex-snapshot
Deep Learning in Music Recommendation Systems
inferredcites →https://doi.org/10.3390/app8071103openalex-snapshot
An Emotion-Aware Personalized Music Recommendation System Using a Convolutional Neural Networks Approach
inferredcites →https://doi.org/10.3390/electronics10101215openalex-snapshot
A Recommendation Engine for Predicting Movie Ratings Using a Big Data Approach
inferredcites →https://doi.org/10.3390/electronics10111263openalex-snapshot
My-Trac: System for Recommendation of Points of Interest on the Basis of Twitter Profiles
inferredcites →https://doi.org/10.3390/electronics9101583openalex-snapshot
A Survey of Context-Aware Recommendation Schemes in Event-Based Social Networks
inferredcites →https://doi.org/10.4324/9780203002971-10openalex-snapshot
Connecting social identity theory and cognitive appraisal theory of emotions
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Connecting The Dots: Music Metadata Generation, Schemas And Applications.
inferredcites →https://doi.org/10.5281/zenodo.1417498openalex-snapshot
The Music Listening Histories Dataset.
inferredcites →https://doi.org/10.5281/zenodo.1492430openalex-snapshot
Musical Texture and Expressivity Features for Music Emotion Recognition
inferredcites →https://doi.org/10.7472/jksii.2015.16.6.133openalex-snapshot
Social Network Based Music Recommendation System
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Binary Emotion Classification of Music Using Deep Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-60935-0_60openalex-snapshot
Music Recommendation System Using Psychological Scale
inferred← citeshttps://doi.org/10.1007/978-3-031-86290-8_1openalex-snapshot
Enhancing Music Recommendation Systems: A Hybrid CNN-LSTM Approach for Personalized and Precise Recommendations
inferred← citeshttps://doi.org/10.1007/978-981-96-7253-0_22openalex-snapshot
Music Recommendation Based on User’s Emotion Detected from Facial Expressions
inferred← citeshttps://doi.org/10.1007/s10044-025-01521-xopenalex-snapshot
Sentiment aware kernel mapping recommender system for Amazon product recommendations
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The impact of COVID-19 on online music listening behaviors in light of listeners’ social interactions
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PUB-VEN: a personalized recommendation system for suggesting publication venues
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SSAR-GNN: Self-Supervised Artist Recommendation from spatio-temporal perspectives in art history with Graph Neural Networks
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Deep learning and content-based filtering techniques for improving plant disease identification and treatment recommendations: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104211openalex-snapshot
Lightweight music recommendation via multi-physiological feature fusion
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An emotion-based personalized music recommendation framework for emotion improvement
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Polyphonic Instrument Emotion Recognition using Stacked Auto Encoders: A Dimensionality Reduction Approach
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Deep neural network-based music emotion recognition and generation system
inferred← citeshttps://doi.org/10.1109/csitss60515.2023.10334239openalex-snapshot
Emotion Based Carnatic Music Recommendation System
inferred← citeshttps://doi.org/10.1109/iccmc65190.2025.11140793openalex-snapshot
Speech Emotion based Music Recommendation
inferred← citeshttps://doi.org/10.1109/icicacs65178.2025.10968710openalex-snapshot
Emotion-Aware Personalized Music Recommendation System Based on Improved Deep Convolutional Neural Networks
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An Intelligent Personalized Music Recommendation System Using Content-Based Filtering with Convolutional Recurrent Neural Network
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Transforming Music Recommendations with AI: Machine Learning & Deep Learning Solutions
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ARMEN: Adversarially Resilient Network for Emotion Recognition from Music
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Personalized Music Recommendation System with Transformer based Convolutional Recurrent Neural Networks using User Emotion Detection
inferred← citeshttps://doi.org/10.1145/3563359.3597415openalex-snapshot
Eudaimonic and Hedonic Qualities as Predictors of Music Videos’ Relevance to Users: A Human-Centric Study
inferred← citeshttps://doi.org/10.1145/3711896.3737212openalex-snapshot
Enhanced Emotion-aware Music Recommendation via Large Language Models
inferred← citeshttps://doi.org/10.2478/amns-2024-1128openalex-snapshot
Music personalization imputation method based on deep transfer transfer learning
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Applications of Artificial Intelligence in Music: A Review
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Sentiment-Based Music Recommendation System using Natural Language Processing for Emotion-aware Song Suggestions
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Harmonizing minds and machines: survey on transformative power of machine learning in music
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Stacked Noise Reduction Auto Encoder–OCEAN: A Novel Personalized Recommendation Model Enhanced
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Review on Artificial Intelligence and its Implementations in Digital Era
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Re-actualization of Traditional Themes in Contemporary Craft Art through the Concept of Hybrid Aesthetics
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Design aesthetics recommender system based on customer profile and wanted affect
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