On the public citation graph
Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform
0 signed · 77 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_1openalex-snapshot
Recommender Systems: Introduction and Challenges
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_10openalex-snapshot
Content-Based Recommendation Systems
inferredcites →https://doi.org/10.1007/s11036-018-1131-yopenalex-snapshot
MOOCRC: A Highly Accurate Resource Recommendation Model for Use in MOOC Environments
inferredcites →https://doi.org/10.1007/s11257-011-9115-7openalex-snapshot
Evaluating recommender systems from the user’s perspective: survey of the state of the art
inferredcites →https://doi.org/10.1016/j.compedu.2019.103777openalex-snapshot
Adaptive learning path recommender approach using auxiliary learning objects
inferredcites →https://doi.org/10.1016/j.eswa.2013.09.005openalex-snapshot
Facing the cold start problem in recommender systems
inferredcites →https://doi.org/10.1016/j.eswa.2020.113596openalex-snapshot
Learning path personalization and recommendation methods: A survey of the state-of-the-art
inferredcites →https://doi.org/10.1016/j.jcps.2014.08.002openalex-snapshot
Choice overload: A conceptual review and meta‐analysis
inferredcites →https://doi.org/10.1073/pnas.1418680112openalex-snapshot
Computer-based personality judgments are more accurate than those made by humans
inferredcites →https://doi.org/10.1080/0144929x.2015.1128977openalex-snapshot
Educational recommender systems and their application in lifelong learning
inferredcites →https://doi.org/10.1080/23270012.2015.1116414openalex-snapshot
Introduction to Big Data Analytics and the Special Issue on Big Data Methods and Applications
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2016.2522422openalex-snapshot
Cold-Start Recommendation with Provable Guarantees: A Decoupled Approach
inferredcites →https://doi.org/10.1109/tkde.2018.2829521openalex-snapshot
Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems
inferredcites →https://doi.org/10.1109/tlt.2017.2740172openalex-snapshot
Review of Research on Student-Facing Learning Analytics Dashboards and Educational Recommender Systems
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2020408openalex-snapshot
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
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/10.1145/3077136.3080777openalex-snapshot
Neural Factorization Machines for Sparse Predictive Analytics
inferredcites →https://doi.org/10.1145/3124749.3124754openalex-snapshot
Deep & Cross Network for Ad Click Predictions
inferredcites →https://doi.org/10.1145/3132847.3132926openalex-snapshot
Neural Attentive Session-based Recommendation
inferredcites →https://doi.org/10.1145/3159652.3159656openalex-snapshot
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
inferredcites →https://doi.org/10.1145/3298689.3347030openalex-snapshot
Time slice imputation for personalized goal-based recommendation in higher education
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3336191.3371786openalex-snapshot
Time Interval Aware Self-Attention for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3340531.3411919openalex-snapshot
Explainable Recommender Systems via Resolving Learning Representations
inferredcites →https://doi.org/10.1145/3357384openalex-snapshot
Proceedings of the 28th ACM International Conference on Information and Knowledge Management
inferredcites →https://doi.org/10.1145/3357384.3357942openalex-snapshot
Adaptive Feature Sampling for Recommendation with Missing Content Feature Values
inferredcites →https://doi.org/10.1145/3383313.3412249openalex-snapshot
What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation
inferredcites →https://doi.org/10.1145/3397271openalex-snapshot
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3397271.3401178openalex-snapshot
Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation
inferredcites →https://doi.org/10.1145/3404835.3462968openalex-snapshot
Sequential Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3437963.3441811openalex-snapshot
Sparse-Interest Network for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3474085.3475665openalex-snapshot
Contrastive Learning for Cold-Start Recommendation
inferredcites →https://doi.org/10.1145/3511808.3557111openalex-snapshot
A Case Study in Educational Recommenders: Recommending Music Partitures at Tomplay
inferredcites →https://doi.org/10.1145/3535101openalex-snapshot
Graph Neural Networks in Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/3565480openalex-snapshot
User Perception of Recommendation Explanation: Are Your Explanations What Users Need?
inferredcites →https://doi.org/10.1145/3568022openalex-snapshot
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
inferredcites →https://doi.org/10.1287/isre.2018.0800openalex-snapshot
How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment
inferredcites →https://doi.org/10.1287/isre.2021.1074openalex-snapshot
How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment
inferredcites →https://doi.org/10.1287/mnsc.1080.0974openalex-snapshot
Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity
inferredcites →https://doi.org/10.1609/aaai.v33i01.33014189openalex-snapshot
From Zero-Shot Learning to Cold-Start Recommendation
inferredcites →https://doi.org/10.17705/1jais.00423openalex-snapshot
Big Data Research in Information Systems: Toward an Inclusive Research Agenda
inferredcites →https://doi.org/10.18653/v1/d19-1openalex-snapshot
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
inferredcites →https://doi.org/10.18653/v1/d19-1410openalex-snapshot
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
inferredcites →https://doi.org/10.18653/v1/n16-1openalex-snapshot
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
inferredcites →https://doi.org/10.24963/ijcai.2019/325openalex-snapshot
RecoNet: An Interpretable Neural Architecture for Recommender Systems
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10479-026-07129-6openalex-snapshot
Enhancing deep learning with data envelopment analysis: market-oriented recommendation system for non-fungible tokens
inferred← citeshttps://doi.org/10.1007/s44163-025-00369-8openalex-snapshot
Improving classifier decision boundaries and interpretability using nearest neighbors
inferred← citeshttps://doi.org/10.1016/j.entcom.2026.101209openalex-snapshot
Design and implementation of a multimodal perception-enhanced music education interactive platform integrating virtual reality and augmented reality
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133508openalex-snapshot
A contrastive learning framework for Transformer-based collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.im.2025.104289openalex-snapshot
Customer redemption analytics in multi-vendor loyalty programs: a design science research approach
inferred← citeshttps://doi.org/10.1016/j.ins.2026.124236openalex-snapshot
STGCM: Sign-aware triple graph collaborative model for recommendation
inferred← citeshttps://doi.org/10.1016/j.is.2025.102576openalex-snapshot
Data-driven prescriptive analytics applications: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112698openalex-snapshot
A knowledge graph enabled recommendation system for implicitly associated items: Application to vertical e-commerce of parts
inferred← citeshttps://doi.org/10.1016/j.omega.2025.103278openalex-snapshot
A novel O2O service recommendation method based on dynamic preference similarity
inferred← citeshttps://doi.org/10.1038/s41598-025-01810-9openalex-snapshot
The analysis of artificial intelligence knowledge graphs for online music learning platform under deep learning
inferred← citeshttps://doi.org/10.1109/access.2025.3527512openalex-snapshot
Aggregating Contextual Information for Multi-Criteria Online Music Recommendations
inferred← citeshttps://doi.org/10.1109/icaice63571.2024.10864189openalex-snapshot
Multi-Scale HyperGraph Node Embedding via Random Walking for Music Recommendation
inferred← citeshttps://doi.org/10.1109/tlt.2025.3630276openalex-snapshot
Graph Neural Network Empowers Intelligent Education: A Systematic Review From an Application Perspective
inferred← citeshttps://doi.org/10.1145/3733233openalex-snapshot
Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network
inferred← citeshttps://doi.org/10.1145/3772726.3772871openalex-snapshot
Piano Performance Posture Recognition and Rhythm Structure Analysis Based on Convolutional Neural Network
inferred← citeshttps://doi.org/10.1145/3789264openalex-snapshot
CPGRec+: A Balance-Oriented Framework for Personalized Video Game Recommendations
inferred← citeshttps://doi.org/10.1145/3801438.3801457openalex-snapshot
Cognitive Knowledge Graph Modeling and Personalized Path Recommendation for University Chinese Education
inferred← citeshttps://doi.org/10.1145/3811911openalex-snapshot
MGCD: Multiple-Granularity Cognitive Diagnosis in Intelligent Education Systems
inferred← citeshttps://doi.org/10.1177/14727978251374326openalex-snapshot
Application of graph neural networks (GNNs) in learning situation prediction and educational resource recommendation algorithms
inferred← citeshttps://doi.org/10.31862/2309-1428-2024-12-1-26-47openalex-snapshot
DIGITAL TECHNOLOGIES IN MODERN MUSIC EDUCATION: A SYSTEMATIC REVIEW OF RESEARCH TRENDS IN A CROSS-COUNTRY PERSPECTIVE
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.