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Recommender systems under European AI regulations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_10openalex-snapshot
Explaining Recommendations: Design and Evaluation
inferredcites →https://doi.org/10.1007/978-3-030-72113-8_3openalex-snapshot
FedeRank: User Controlled Feedback with Federated Recommender Systems
inferredcites →https://doi.org/10.1007/s11257-019-09247-2openalex-snapshot
Effects of personal characteristics in control-oriented user interfaces for music recommender systems
inferredcites →https://doi.org/10.1016/j.artint.2018.07.007openalex-snapshot
Explanation in artificial intelligence: Insights from the social sciences
inferredcites →https://doi.org/10.1016/j.ipm.2021.102666openalex-snapshot
Investigating gender fairness of recommendation algorithms in the music domain
inferredcites →https://doi.org/10.1145/3340531.3412152openalex-snapshot
Feedback Loop and Bias Amplification in Recommender Systems
inferredcites →https://doi.org/10.1145/3383313.3412223openalex-snapshot
Personality Bias of Music Recommendation Algorithms
inferredcites →https://doi.org/10.1145/3439729openalex-snapshot
A Survey on Adversarial Recommender Systems
inferredcites →https://doi.org/10.1287/mnsc.2018.3093openalex-snapshot
Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads
inferredcites →https://doi.org/10.1561/1500000090openalex-snapshot
Psychology-informed Recommender Systems
inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-snapshot
Communication-Efficient Learning of Deep Networks from Decentralized Data
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.4861831openalex-extracted
Impact of European AI Regulations on Healthcare Business Strategies and Compliance
inferred← citeshttps://doi.org/10.1002/9781394351572.ch4openalex-snapshot
Illuminating Knowledge Graph–Based Recommendation Solutions
inferred← citeshttps://doi.org/10.1002/pra2.1412openalex-snapshot
Security and Privacy Challenges in AI ‐Powered Library Recommender Systems: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1007/978-3-031-53770-7openalex-snapshot
AI, Data, and Digitalization
inferred← citeshttps://doi.org/10.1007/978-3-031-53770-7_11openalex-snapshot
Artificial Intelligence in the Public Sector in Norway:
inferred← citeshttps://doi.org/10.1007/978-3-031-56063-7_3openalex-snapshot
Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-61375-3_11openalex-snapshot
Human-Centered Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-63797-1_1openalex-snapshot
Model-Agnostic Knowledge Graph Embedding Explanations for Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-69978-8_3openalex-snapshot
Biases, Fairness, and Non-discrimination
inferred← citeshttps://doi.org/10.1007/978-3-031-69978-8_6openalex-snapshot
Conclusions and Open Challenges
inferred← citeshttps://doi.org/10.1007/978-3-031-99270-4_1openalex-snapshot
Introduction to Federated Learning and Its Application in Industry
inferred← citeshttps://doi.org/10.1007/978-3-032-15638-9_17openalex-snapshot
User Fairness in Recommender Systems Using Beyond-Accuracy Basket Quality Metrics
inferred← citeshttps://doi.org/10.1007/s00146-023-01675-4openalex-snapshot
Gender bias perpetuation and mitigation in AI technologies: challenges and opportunities
inferred← citeshttps://doi.org/10.1007/s11257-022-09345-8openalex-snapshot
Justification of recommender systems results: a service-based approach
inferred← citeshttps://doi.org/10.1007/s11257-023-09364-zopenalex-snapshot
Fairness in recommender systems: research landscape and future directions
inferred← citeshttps://doi.org/10.1016/j.jflm.2025.102895openalex-snapshot
Artificial intelligence in forensic mental health: A review of applications and implications
inferred← citeshttps://doi.org/10.1016/j.procs.2024.06.032openalex-snapshot
Research Agenda of Ethical Recommender Systems based on Explainable AI
inferred← citeshttps://doi.org/10.1016/j.sasc.2023.200050openalex-snapshot
Emerging challenges and perspectives in Deep Learning model security: A brief survey
inferred← citeshttps://doi.org/10.1016/j.simpa.2022.100382openalex-snapshot
PyCPFair: A framework for consumer and producer fairness in recommender systems
inferred← citeshttps://doi.org/10.1080/08874417.2023.2251443openalex-snapshot
Towards Defining a Trustworthy Artificial Intelligence System Development Maturity Model
inferred← citeshttps://doi.org/10.1108/dprg-10-2024-0272openalex-snapshot
Artificial intelligence in action: shaping the future of public sector
inferred← citeshttps://doi.org/10.1109/aaiac60008.2023.10465404openalex-snapshot
Regulatory Strategies for Fostering Responsible AI Innovation in African Economies
inferred← citeshttps://doi.org/10.1109/tifs.2024.3420246openalex-snapshot
Metricizing the Euclidean Space Toward Desired Distance Relations in Point Clouds
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/10.1145/3523227.3547414openalex-snapshot
Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022)
inferred← citeshttps://doi.org/10.1145/3539597.3572723openalex-snapshot
Trustworthy Algorithmic Ranking Systems
inferred← citeshttps://doi.org/10.1145/3565472.3592962openalex-snapshot
Service-based Presentation of Multimodal Information for the Justification of Recommender Systems Results
inferred← citeshttps://doi.org/10.1145/3576840.3578287openalex-snapshot
I Don’t Care How Popular You Are! Investigating Popularity Bias in Music Recommendations from a User’s Perspective
inferred← citeshttps://doi.org/10.1145/3604915.3609493openalex-snapshot
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives
inferred← citeshttps://doi.org/10.1145/3604915.3609497openalex-snapshot
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives
inferred← citeshttps://doi.org/10.1145/3631700.3658522openalex-snapshot
Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives
inferred← citeshttps://doi.org/10.1145/3674127.3674133openalex-snapshot
Query-driven Search Functionality
inferred← citeshttps://doi.org/10.1145/3674127.3674137openalex-snapshot
Temporal Extraction and Retrieval
inferred← citeshttps://doi.org/10.1145/3674127.3674139openalex-snapshot
Privacy in Information Retrieval
inferred← citeshttps://doi.org/10.1145/3674127.3674140openalex-snapshot
eCommerce Search and Discovery
inferred← citeshttps://doi.org/10.1145/3674127.3674142openalex-snapshot
Searching Personal Collections
inferred← citeshttps://doi.org/10.1145/3773078.3831782openalex-snapshot
From Side Information and Knowledge Graphs to Large Language Models: Two Decades of Knowledge Integration in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3785355openalex-snapshot
Overcoming Hazards of E-commerce Recommender Systems for Social Good
inferred← citeshttps://doi.org/10.1145/3797875openalex-snapshot
ELSA-Compliant Explainable Recommender Systems
inferred← citeshttps://doi.org/10.11606/t.55.2024.tde-06012025-175603openalex-snapshot
O Funcionamento Diferencial dos Itens na Indução de Classificadores Mais Justos
inferred← citeshttps://doi.org/10.1561/1500000081openalex-snapshot
Conversational Information Seeking
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3710935/v1openalex-snapshot
A Framework for Accurate Recommendations and Explanation Generation Using Multi-Task Learning
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9240627/v1openalex-snapshot
A systematic review and thematic analysis of gender bias in AI
inferred← citeshttps://doi.org/10.2139/ssrn.6439419openalex-snapshot
Comparative analysis of international and national regulatory frameworks in protecting children and adolescents ofAI-facilitatedcyberbullying: From traditional challenges to integral approach
inferred← citeshttps://doi.org/10.23919/acc63710.2025.11107857openalex-snapshot
The Feedback Loop Between Recommendation Systems and Reactive Users
inferred← citeshttps://doi.org/10.3138/cjc-2022-0054openalex-snapshot
Discoverability and Algorithmic Recommendations in Video Streaming Platforms: Exploring Algorithmic Gender and Race Bias as a Canadian Broadcast Policy Concern
inferred← citeshttps://doi.org/10.3233/faia230598openalex-snapshot
Reinforcement Learning by Guided Safe Exploration
inferred← citeshttps://doi.org/10.3390/ai5010019openalex-snapshot
A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring
inferred← citeshttps://doi.org/10.3390/app13106201openalex-snapshot
A Comprehensive Survey on Privacy-Preserving Techniques in Federated Recommendation Systems
inferred← citeshttps://doi.org/10.3390/bdcc7010015openalex-snapshot
Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods
inferred← citeshttps://doi.org/10.3390/electronics11203301openalex-snapshot
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems
inferred← citeshttps://doi.org/10.3390/electronics15061292openalex-snapshot
Explainable and Federated Recommender Systems: A Survey and Conceptual Framework for Trustworthy Personalization
inferred← citeshttps://doi.org/10.3390/info14020131openalex-snapshot
Bias Assessment Approaches for Addressing User-Centered Fairness in GNN-Based Recommender Systems
inferred← citeshttps://doi.org/10.3390/info15030138openalex-snapshot
Social Network Community Detection to Deal with Gray-Sheep and Cold-Start Problems in Music Recommender Systems
inferred← citeshttps://doi.org/10.54254/2753-7048/2024.20365openalex-snapshot
Artificial Intelligence in Legal Systems: Examining Gender Bias and the Role of UK Legal Frameworks in Addressing It
inferred← citeshttps://doi.org/10.62486/latia20237openalex-snapshot
Approach to global regulations around AI
inferred← citeshttps://doi.org/10.62486/latia202411openalex-snapshot
Artificial Intelligence as a tool for analysis in Social Sciences: methods and applications
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