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Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Recommender Systems Handbook
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Out of the Lab and into the Fray: Towards Modeling Emotion in Everyday Life
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Ubiquitous recommender systems
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Context-aware recommendations through context and activity recognition in a mobile environment
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Develop a personalized intelligent music selection system based on heart rate variability and machine learning
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Improving music recommendation by incorporating social influence
inferredcites →https://doi.org/10.1007/s11042-022-12110-zopenalex-snapshot
Considering emotions and contextual factors in music recommendation: a systematic literature review
inferredcites →https://doi.org/10.1007/s12652-015-0335-2openalex-snapshot
Fuzzy and nonlinear programming approach for optimizing the performance of ubiquitous hotel recommendation
inferredcites →https://doi.org/10.1016/j.inffus.2018.09.001openalex-snapshot
Deep learning analysis of mobile physiological, environmental and location sensor data for emotion detection
inferredcites →https://doi.org/10.1016/j.inffus.2019.08.004openalex-snapshot
A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare
inferredcites →https://doi.org/10.1016/j.ins.2019.11.028openalex-snapshot
Multi-objective optimization for location-based and preferences-aware recommendation
inferredcites →https://doi.org/10.1016/j.pmcj.2020.101242openalex-snapshot
Mobile music recommendations for runners based on location and emotions: The DJ-Running system
inferredcites →https://doi.org/10.1037/aca0000104openalex-snapshot
‘Tis the season: Music-playlist preferences for the seasons.
inferredcites →https://doi.org/10.1037/emo0000573openalex-snapshot
Why do depressed people prefer sad music?
inferredcites →https://doi.org/10.1080/15213269.2012.693812openalex-snapshot
Re-Exploring the Influence of Sad Mood on Music Preference
inferredcites →https://doi.org/10.1109/access.2018.2877137openalex-snapshot
Location-Aware Service Recommendation With Enhanced Probabilistic Matrix Factorization
inferredcites →https://doi.org/10.1109/embc44109.2020.9175221openalex-snapshot
Emotion assessment using Machine Learning and low-cost wearable devices
inferredcites →https://doi.org/10.1109/icctd.2009.246openalex-snapshot
Music Playlist Recommendation Based on User Heartbeat and Music Preference
inferredcites →https://doi.org/10.1109/mc.2003.1236478openalex-snapshot
Ubiquitous recommendation systems
inferredcites →https://doi.org/10.1109/mic.2020.3017867openalex-snapshot
WellBeat: A Framework for Tracking Daily Well-Being Using Smartwatches
inferredcites →https://doi.org/10.1109/mis.2020.3026000openalex-snapshot
An Emotional Recommender System for Music
inferredcites →https://doi.org/10.1109/percom.2009.4912751openalex-snapshot
A mobile product recommendation system interacting with tagged products
inferredcites →https://doi.org/10.1109/taffc.2015.2491927openalex-snapshot
Naturalistic Recognition of Activities and Mood Using Wearable Electronics
inferredcites →https://doi.org/10.1109/tce.2019.2924177openalex-snapshot
Music Recommendation System Using Human Activity Recognition From Accelerometer Data
inferredcites →https://doi.org/10.1109/tsmc.2019.2931723openalex-snapshot
Location-Aware Deep Collaborative Filtering for Service Recommendation
inferredcites →https://doi.org/10.1111/j.1749-6632.2001.tb05723.xopenalex-snapshot
Music, Cognition, Culture, and Evolution
inferredcites →https://doi.org/10.1145/1352793.1352837openalex-snapshot
Addressing cold-start problem in recommendation systems
inferredcites →https://doi.org/10.1145/2393347.2393368openalex-snapshot
Context-aware mobile music recommendation for daily activities
inferredcites →https://doi.org/10.1145/2634317.2634327openalex-snapshot
Your activity tracker knows when you quit smoking
inferredcites →https://doi.org/10.1145/2837126.2837128openalex-snapshot
Push-Based Recommendations in Mobile Computing Using a Multi-Layer Contextual Approach
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/10.1145/3090076openalex-snapshot
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
inferredcites →https://doi.org/10.1145/3177849openalex-snapshot
Content-Based Music Information Retrieval (CB-MIR) and Its Applications toward the Music Industry
inferredcites →https://doi.org/10.1145/3191764openalex-snapshot
Employing Consumer Wearables to Detect Office Workers' Cognitive Load for Interruption Management
inferredcites →https://doi.org/10.1145/3209219.3209258openalex-snapshot
Culture-Aware Music Recommendation
inferredcites →https://doi.org/10.1145/3219819.3219823openalex-snapshot
Deep Interest Network for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1145/3240323.3240361openalex-snapshot
Recurrent knowledge graph embedding for effective recommendation
inferredcites →https://doi.org/10.1145/3240323.3240397openalex-snapshot
Attentive neural architecture incorporating song features for music recommendation
inferredcites →https://doi.org/10.1145/3308558.3313488openalex-snapshot
Graph Neural Networks for Social Recommendation
inferredcites →https://doi.org/10.1145/3340531.3412119openalex-snapshot
Multiplex Graph Neural Networks for Multi-behavior Recommendation
inferredcites →https://doi.org/10.1145/3351233openalex-snapshot
Prediction of Mood Instability with Passive Sensing
inferredcites →https://doi.org/10.1145/3383313.3412248openalex-snapshot
Contextual and Sequential User Embeddings for Large-Scale Music Recommendation
inferredcites →https://doi.org/10.1145/3394486.3403278openalex-snapshot
Temporal-Contextual Recommendation in Real-Time
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/10.3389/fpsyg.2013.00292openalex-snapshot
On the Acoustics of Emotion in Audio: What Speech, Music, and Sound have in Common
inferredcites →https://doi.org/10.4108/icst.pervasivehealth.2011.246030openalex-snapshot
Motivate: towards Context-Aware Recommendation Mobile System for Healthy Living
inferredcites →https://doi.org/10.5281/zenodo.1416825openalex-snapshot
Hybrid Collaborative And Content-Based Music Recommendation Using Probabilistic Model With Latent User Preferences.
inferredcites →https://doi.org/10.5860/choice.28-1830openalex-snapshot
The biopsychology of mood and arousal
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-96-5884-8_3openalex-snapshot
Music Assistant – A Method for Music Recommendation Using Sensor Data from Wear OS System
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/10.1016/j.cose.2025.104453openalex-snapshot
A survey on security and privacy issues in wearable health monitoring devices
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111903openalex-snapshot
Deep learning-based modeling of stakeholders preferences and balancing through multi-objective optimization in a multi-stakeholder recommendation system
inferred← citeshttps://doi.org/10.1038/s44287-024-00053-6openalex-snapshot
Empowering generative AI through mobile edge computing
inferred← citeshttps://doi.org/10.1109/cic58953.2023.00027openalex-snapshot
Scalable Multimodal Learning and Multimedia Recommendation
inferred← citeshttps://doi.org/10.1109/icmnwc66779.2025.11354227openalex-snapshot
TinyML Motion Classification System for Low-Power Smart Bracelets: Deployment and Energy Optimization of Ultra-Lightweight DNNs on MCUs
inferred← citeshttps://doi.org/10.1145/3613904.3642193openalex-snapshot
Better to Ask Than Assume: Proactive Voice Assistants’ Communication Strategies That Respect User Agency in a Smart Home Environment
inferred← citeshttps://doi.org/10.1145/3627508.3638343openalex-snapshot
SiTunes: A Situational Music Recommendation Dataset with Physiological and Psychological Signals
inferred← citeshttps://doi.org/10.1145/3645091openalex-snapshot
Wearable Activity Trackers: A Survey on Utility, Privacy, and Security
inferred← citeshttps://doi.org/10.1145/3659596openalex-snapshot
SmallMap: Low-cost Community Road Map Sensing with Uncertain Delivery Behavior
inferred← citeshttps://doi.org/10.1145/3663547.3746328openalex-snapshot
Characterizing Smart Home Technology Usage Among Users with Disabilities through Reddit
inferred← citeshttps://doi.org/10.1145/3675094.3680519openalex-snapshot
EarTune: Exploring the Physiology of Music Listening
inferred← citeshttps://doi.org/10.1145/3715336.3735709openalex-snapshot
Towards Societally Beneficial Personalized Realities: A Conceptual Foundation for Responsible Ubiquitous Personalization Systems
inferred← citeshttps://doi.org/10.1145/3733233openalex-snapshot
Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network
inferred← citeshttps://doi.org/10.1145/3749513openalex-snapshot
Vinci: A Real-time Smart Assistant Based on Egocentric Vision-language Model for Portable Devices
inferred← citeshttps://doi.org/10.47756/aihc.y8i1.133openalex-snapshot
Towards the design of personal data protection-aware artificial intelligence applications in ubiquitous smart environments
inferred← citeshttps://doi.org/10.48550/arxiv.2306.08929openalex-snapshot
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