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Personality Bias of Music Recommendation Algorithms
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_21openalex-snapshot
Personality and Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-030-45442-5_5openalex-snapshot
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
inferredcites →https://doi.org/10.1007/978-3-031-62495-7openalex-snapshot
Engineering Applications of Neural Networks
inferredcites →https://doi.org/10.1007/978-3-319-16354-3_37openalex-snapshot
On the Influence of User Characteristics on Music Recommendation Algorithms
inferredcites →https://doi.org/10.1007/978-3-319-65172-9_42openalex-snapshot
The 50/50 Recommender: A Method Incorporating Personality into Movie Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-319-91485-5_12openalex-snapshot
Personality Based Recipe Recommendation Using Recipe Network Graphs
inferredcites →https://doi.org/10.1007/s11257-016-9172-zopenalex-snapshot
Alleviating the new user problem in collaborative filtering by exploiting personality information
inferredcites →https://doi.org/10.1007/s13735-017-0118-yopenalex-snapshot
Investigating country-specific music preferences and music recommendation algorithms with the LFM-1b dataset
inferredcites →https://doi.org/10.1016/j.econlet.2011.11.015openalex-snapshot
The stability of big-five personality traits
inferredcites →https://doi.org/10.1016/j.knosys.2018.11.025openalex-snapshot
Mining personality traits from social messages for game recommender systems
inferredcites →https://doi.org/10.1037/0022-3514.84.6.1236openalex-snapshot
The do re mi's of everyday life: The structure and personality correlates of music preferences.
inferredcites →https://doi.org/10.1109/5254.988466openalex-snapshot
MusicBrainz: a semantic Web service
inferredcites →https://doi.org/10.1109/icdm.2011.134openalex-snapshot
SLIM: Sparse Linear Methods for Top-N Recommender Systems
inferredcites →https://doi.org/10.1111/j.1467-6494.1992.tb00970.xopenalex-snapshot
An Introduction to the Five‐Factor Model and Its Applications
inferredcites →https://doi.org/10.1145/1401890.1401959openalex-snapshot
Discrimination-aware data mining
inferredcites →https://doi.org/10.1145/2926720openalex-snapshot
Diversity, Serendipity, Novelty, and Coverage
inferredcites →https://doi.org/10.1145/3079628.3079693openalex-snapshot
Personality Traits and Music Genres
inferredcites →https://doi.org/10.1145/3178876.3186150openalex-snapshot
Variational Autoencoders for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3308558.3313710openalex-snapshot
Embarrassingly Shallow Autoencoders for Sparse Data
inferredcites →https://doi.org/10.1348/000712606x111177openalex-snapshot
Personality and music: Can traits explain how people use music in everyday life?
inferredcites →https://doi.org/10.48550/arxiv.1907.13286openalex-snapshot
The Unfairness of Popularity Bias in Recommendation
inferredcites →https://doi.org/10.5281/zenodo.1417648openalex-snapshot
The Million Musical Tweet Dataset - What We Can Learn From Microblogs.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4469569openalex-extracted
A Survey on Fairness-Aware Recommender Systems
inferred← citeshttps://doi.org/10.1002/cpe.7647openalex-snapshot
Popularity bias in personality perspective: An analysis of how personality traits expose individuals to the unfair recommendation
inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_24openalex-snapshot
Music Recommendation Systems: Techniques, Use Cases, and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-031-06417-3_3openalex-snapshot
Ideas for Spotify Customization: Enhancing the User’s Experience
inferred← citeshttps://doi.org/10.1007/978-3-031-18444-4_4openalex-snapshot
Music Recommender Systems: A Review Centered on Biases
inferred← citeshttps://doi.org/10.1007/978-3-031-66336-9_15openalex-snapshot
Responsible AI in Personalised Movie Recommender Systems for the Hearing Impaired Community
inferred← citeshttps://doi.org/10.1007/978-3-031-87584-7_180openalex-snapshot
An Efficient Method for Biometric Based Music Experiences Using Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-02215-8_10openalex-snapshot
Alternatives to Shallow Autoencoders for Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-3-032-21324-2_33openalex-snapshot
Extending Logic Tensor Networks to Implicit Feedback for Representation-Aware Music Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-99-8126-7_29openalex-snapshot
Contrastive Learning-Based Music Recommendation Model
inferred← citeshttps://doi.org/10.1007/s11042-022-12110-zopenalex-snapshot
Considering emotions and contextual factors in music recommendation: a systematic literature review
inferred← citeshttps://doi.org/10.1007/s11042-024-19505-0openalex-snapshot
Social music discovery: an ethical recommendation system based on friend’s preferred songs
inferred← citeshttps://doi.org/10.1007/s11609-023-00502-3openalex-snapshot
Endlose Theorie: Zu ihrer Relevanz im Kontext von Big Data
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125667openalex-snapshot
Enhancing cross-domain recommendations: Leveraging personality-based transfer learning with probabilistic matrix factorization
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101906openalex-snapshot
A survey on fairness-aware recommender systems
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102666openalex-snapshot
Investigating gender fairness of recommendation algorithms in the music domain
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.103100openalex-snapshot
Evaluating unfairness of popularity bias in recommender systems: A comprehensive user-centric analysis
inferred← citeshttps://doi.org/10.1109/csicc52343.2021.9420581openalex-snapshot
Telegram group recommendation based on users' migration
inferred← citeshttps://doi.org/10.1109/gcce56475.2022.10014386openalex-snapshot
GCN-based Collaborative Filtering Considering Personality Bias
inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10725242openalex-snapshot
Music Genre Classification Using CNN and MobileNetV2
inferred← citeshttps://doi.org/10.1109/tbdata.2024.3453758openalex-snapshot
Higher-Order Smoothness Enhanced Graph Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/tcyb.2026.3651813openalex-snapshot
Improving Music Recommendation With Fine-Grained Content-Based Behavior Retrieval
inferred← citeshttps://doi.org/10.1145/3460231.3474244openalex-snapshot
User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms
inferred← citeshttps://doi.org/10.1145/3477495.3531718openalex-snapshot
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3477495.3532683openalex-snapshot
Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation
inferred← citeshttps://doi.org/10.1145/3511047.3536400openalex-snapshot
Multiperspective and Multidisciplinary Treatment of Fairness in Recommender Systems Research
inferred← citeshttps://doi.org/10.1145/3512728openalex-snapshot
Recommender systems under European AI regulations
inferred← citeshttps://doi.org/10.1145/3523227.3546756openalex-snapshot
ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations
inferred← citeshttps://doi.org/10.1145/3523227.3551481openalex-snapshot
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation
inferred← citeshttps://doi.org/10.1145/3539597.3572723openalex-snapshot
Trustworthy Algorithmic Ranking Systems
inferred← citeshttps://doi.org/10.1145/3565472.3592958openalex-snapshot
Investigating the effectiveness of persuasive justification messages in fair music recommender systems for users with different personality traits
inferred← citeshttps://doi.org/10.1145/3604915.3609497openalex-snapshot
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives
inferred← citeshttps://doi.org/10.1145/3604915.3610659openalex-snapshot
Towards Health-Aware Fairness in Food Recipe Recommendation
inferred← citeshttps://doi.org/10.1145/3616855.3635722openalex-snapshot
Psychology-informed Information Access Systems Workshop
inferred← citeshttps://doi.org/10.1145/3631700.3658522openalex-snapshot
Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives
inferred← citeshttps://doi.org/10.1145/3631700.3664897openalex-snapshot
Evaluating Group Fairness in News Recommendations: A Comparative Study of Algorithms and Metrics
inferred← citeshttps://doi.org/10.1145/3640457.3688187openalex-snapshot
Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems
inferred← citeshttps://doi.org/10.1145/3708319.3727563openalex-snapshot
Hybrid AI for Human-Centric Personalization (HyPer)
inferred← citeshttps://doi.org/10.1145/3726302.3731691openalex-snapshot
Psychological Aspects in Retrieval and Recommendation
inferred← citeshttps://doi.org/10.1145/3731568openalex-snapshot
Investigating User-Side Fairness in Outcome and Process for Multi-Type Sensitive Attributes in Recommendations
inferred← citeshttps://doi.org/10.1145/3742800.3742826openalex-snapshot
Exploring Future Media Ecologies with Community Organizations: Designing for Uses, Needs and Aspirations
inferred← citeshttps://doi.org/10.1145/3773078.3831860openalex-snapshot
Cognitive Biases in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3809486openalex-snapshot
Poisson Flow Based Conditional Generative Automatic Music Transcription
inferred← citeshttps://doi.org/10.1155/2023/2724418openalex-snapshot
[Retracted] PCA and Binary K‐Means Clustering Based Collaborative Filtering Recommendation
inferred← citeshttps://doi.org/10.1587/transinf.2024edp7136openalex-snapshot
Toward an Understanding of Musical Factors in Judging a Song on First Listen
inferred← citeshttps://doi.org/10.3389/fdata.2022.913608openalex-snapshot
Fairness in Music Recommender Systems: A Stakeholder-Centered Mini Review
inferred← citeshttps://doi.org/10.35537/10915/164064openalex-snapshot
Desarrollo de un modelo de elicitación de emociones a partir de las características de la música
inferred← citeshttps://doi.org/10.5772/intechopen.1012999openalex-snapshot
Fairness Evaluation in LLM-Based Educational Recommender Systems: A Framework for Equitable Learning
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