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Fairness and Diversity in Recommender Systems: A Survey
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb00917.xopenalex-snapshot
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_7openalex-snapshot
Context-Aware Recommender Systems
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_8openalex-snapshot
Evaluating Recommendation Systems
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-1-4471-4555-4_12openalex-snapshot
Privacy in Recommender Systems
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_26openalex-snapshot
Novelty and Diversity in Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-031-09316-6_6openalex-snapshot
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation
inferredcites →https://doi.org/10.1007/978-3-319-29659-3openalex-snapshot
Recommender Systems: The Textbook
inferredcites →https://doi.org/10.1007/978-3-319-29659-3_1openalex-snapshot
An Introduction to Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-319-29659-3_2openalex-snapshot
Neighborhood-Based Collaborative Filtering
inferredcites →https://doi.org/10.1007/978-3-319-29659-3_4openalex-snapshot
Content-Based Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-540-73078-1_11openalex-snapshot
Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems
inferredcites →https://doi.org/10.1007/s10462-007-9023-8openalex-snapshot
Enhancing the diversity of conversational collaborative recommendations: a comparison
inferredcites →https://doi.org/10.1007/s10844-013-0252-9openalex-snapshot
Clustering-based diversity improvement in top-N recommendation
inferredcites →https://doi.org/10.1007/s10994-022-06206-8openalex-snapshot
Adversarial learning for counterfactual fairness
inferredcites →https://doi.org/10.1007/s11257-020-09285-1openalex-snapshot
A flexible framework for evaluating user and item fairness in recommender systems
inferredcites →https://doi.org/10.1007/s11257-023-09364-zopenalex-snapshot
Fairness in recommender systems: research landscape and future directions
inferredcites →https://doi.org/10.1016/j.eswa.2021.114917openalex-snapshot
An overlapping clustering approach for precision, diversity and novelty-aware recommendations
inferredcites →https://doi.org/10.1016/j.eswa.2021.115112openalex-snapshot
Exploiting personalized calibration and metrics for fairness recommendation
inferredcites →https://doi.org/10.1016/j.jnca.2020.102579openalex-snapshot
An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness
inferredcites →https://doi.org/10.1016/j.knosys.2017.02.009openalex-snapshot
Diversity in recommender systems – A survey
inferredcites →https://doi.org/10.1016/j.knosys.2019.07.028openalex-snapshot
WE-Rec: A fairness-aware reciprocal recommendation based on Walrasian equilibrium
inferredcites →https://doi.org/10.1016/j.neucom.2021.11.041openalex-snapshot
A survey of recommender systems with multi-objective optimization
inferredcites →https://doi.org/10.1016/j.patter.2021.100361openalex-snapshot
Predicting energy and stability of known and hypothetical crystals using graph neural network
inferredcites →https://doi.org/10.1080/01621459.1963.10500845openalex-snapshot
Hierarchical Grouping to Optimize an Objective Function
inferredcites →https://doi.org/10.1109/4235.797969openalex-snapshot
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
inferredcites →https://doi.org/10.1109/greencom-cpscom.2010.28openalex-snapshot
Potential Friend Recommendation in Online Social Network
inferredcites →https://doi.org/10.1109/iccse.2012.6295214openalex-snapshot
Multidimensional clustering based collaborative filtering approach for diversified recommendation
inferredcites →https://doi.org/10.1109/icde51399.2021.00140openalex-snapshot
Attacking Black-box Recommendations via Copying Cross-domain User Profiles
inferredcites →https://doi.org/10.1109/icde55515.2023.00260openalex-snapshot
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2011.15openalex-snapshot
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
inferredcites →https://doi.org/10.1109/wi-iat.2009.85openalex-snapshot
Novel Item Recommendation by User Profile Partitioning
inferredcites →https://doi.org/10.1126/science.159.3810.56openalex-snapshot
The Matthew Effect in Science
inferredcites →https://doi.org/10.1145/1060745.1060754openalex-snapshot
Improving recommendation lists through topic diversification
inferredcites →https://doi.org/10.1145/1250910.1250939openalex-snapshot
Recommender systems and their impact on sales diversity
inferredcites →https://doi.org/10.1145/1719970.1719976openalex-snapshot
Personalized news recommendation based on click behavior
inferredcites →https://doi.org/10.1145/1772690.1772780openalex-snapshot
Exploiting query reformulations for web search result diversification
inferredcites →https://doi.org/10.1145/2009916.2010124openalex-snapshot
Intent-oriented diversity in recommender systems
inferredcites →https://doi.org/10.1145/2043932.2043955openalex-snapshot
Rank and relevance in novelty and diversity metrics for recommender systems
inferredcites →https://doi.org/10.1145/2348283.2348310openalex-snapshot
Adaptive diversification of recommendation results via latent factor portfolio
inferredcites →https://doi.org/10.1145/2365952.2365962openalex-snapshot
Pareto-efficient hybridization for multi-objective recommender systems
inferredcites →https://doi.org/10.1145/2507157.2507226openalex-snapshot
Personalised ranking with diversity
inferredcites →https://doi.org/10.1145/2645710.2645743openalex-snapshot
Coverage, redundancy and size-awareness in genre diversity for recommender systems
inferredcites →https://doi.org/10.1145/290941.291025openalex-snapshot
The use of MMR, diversity-based reranking for reordering documents and producing summaries
inferredcites →https://doi.org/10.1145/2926720openalex-snapshot
Diversity, Serendipity, Novelty, and Coverage
inferredcites →https://doi.org/10.1145/3109859.3109887openalex-snapshot
Fairness-Aware Group Recommendation with Pareto-Efficiency
inferredcites →https://doi.org/10.1145/3109859.3109912openalex-snapshot
Controlling Popularity Bias in Learning-to-Rank Recommendation
inferredcites →https://doi.org/10.1145/3158369openalex-snapshot
Facial Expression Analysis under Partial Occlusion
inferredcites →https://doi.org/10.1145/3184558.3186949openalex-snapshot
User Fairness in Recommender Systems
inferredcites →https://doi.org/10.1145/3213586.3226206openalex-snapshot
Using Image Fairness Representations in Diversity-Based Re-ranking for Recommendations
inferredcites →https://doi.org/10.1145/3213586.3226207openalex-snapshot
Fairness In Reciprocal Recommendations
inferredcites →https://doi.org/10.1145/3219819.3220088openalex-snapshot
Fairness of Exposure in Rankings
inferredcites →https://doi.org/10.1145/3269206.3271795openalex-snapshot
Fairness-Aware Tensor-Based Recommendation
inferredcites →https://doi.org/10.1145/3292500.3330745openalex-snapshot
Fairness in Recommendation Ranking through Pairwise Comparisons
inferredcites →https://doi.org/10.1145/3298689.3347016openalex-snapshot
Personalized fairness-aware re-ranking for microlending
inferredcites →https://doi.org/10.1145/3308558.3313488openalex-snapshot
Graph Neural Networks for Social Recommendation
inferredcites →https://doi.org/10.1145/3336191openalex-snapshot
Proceedings of the 13th International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/3336191.3371855openalex-snapshot
Addressing Marketing Bias in Product Recommendations
inferredcites →https://doi.org/10.1145/3340631.3394846openalex-snapshot
Opportunistic Multi-aspect Fairness through Personalized Re-ranking
inferredcites →https://doi.org/10.1145/3341105openalex-snapshot
Proceedings of the 35th Annual ACM Symposium on Applied Computing
inferredcites →https://doi.org/10.1145/3343413openalex-snapshot
Proceedings of the 2020 Conference on Human Information Interaction and Retrieval
inferredcites →https://doi.org/10.1145/3357384.3357814openalex-snapshot
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
inferredcites →https://doi.org/10.1145/3383313.3412245openalex-snapshot
Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity
inferredcites →https://doi.org/10.1145/3394171openalex-snapshot
Proceedings of the 28th ACM International Conference on Multimedia
inferredcites →https://doi.org/10.1145/3394486.3403344openalex-snapshot
Controllable Multi-Interest Framework for Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401051openalex-snapshot
Fairness-Aware Explainable Recommendation over Knowledge Graphs
inferredcites →https://doi.org/10.1145/3397271.3401137openalex-snapshot
Disentangled Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3404835.3462850openalex-snapshot
When Fair Ranking Meets Uncertain Inference
inferredcites →https://doi.org/10.1145/3404835.3462966openalex-snapshot
Towards Personalized Fairness based on Causal Notion
inferredcites →https://doi.org/10.1145/3404835.3463235openalex-snapshot
The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems
inferredcites →https://doi.org/10.1145/3406522.3446033openalex-snapshot
Break the Loop: Gender Imbalance in Music Recommenders
inferredcites →https://doi.org/10.1145/3412841.3442123openalex-snapshot
On mitigating popularity bias in recommendations via variational autoencoders
inferredcites →https://doi.org/10.1145/3437963.3441752openalex-snapshot
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information
inferredcites →https://doi.org/10.1145/3437963.3441824openalex-snapshot
Towards Long-term Fairness in Recommendation
inferredcites →https://doi.org/10.1145/3439729openalex-snapshot
A Survey on Adversarial Recommender Systems
inferredcites →https://doi.org/10.1145/3442381.3449866openalex-snapshot
User-oriented Fairness in Recommendation
inferredcites →https://doi.org/10.1145/3442381.3449904openalex-snapshot
Debiasing Career Recommendations with Neural Fair Collaborative Filtering
inferredcites →https://doi.org/10.1145/3442381.3450015openalex-snapshot
Learning Fair Representations for Recommendation: A Graph-based Perspective
inferredcites →https://doi.org/10.1145/3442381.3450099openalex-snapshot
Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests
inferredcites →https://doi.org/10.1145/3450613.3456821openalex-snapshot
User-centered Evaluation of Popularity Bias in Recommender Systems
inferredcites →https://doi.org/10.1145/3474085.3475706openalex-snapshot
Pareto Optimality for Fairness-constrained Collaborative Filtering
inferredcites →https://doi.org/10.1145/3477495.3531718openalex-snapshot
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems
inferredcites →https://doi.org/10.1145/3477495.3531913openalex-snapshot
Selective Fairness in Recommendation via Prompts
inferredcites →https://doi.org/10.1145/3477495.3531973openalex-snapshot
Explainable Fairness in Recommendation
inferredcites →https://doi.org/10.1145/3477495.3532075openalex-snapshot
User-controllable Recommendation Against Filter Bubbles
inferredcites →https://doi.org/10.1145/3485447.3512094openalex-snapshot
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation
inferredcites →https://doi.org/10.1145/3487553openalex-snapshot
Companion Proceedings of the Web Conference 2022
inferredcites →https://doi.org/10.1145/3506803openalex-snapshot
When Fair Ranking Meets Uncertain Inference
inferredcites →https://doi.org/10.1145/3531146.3533136openalex-snapshot
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱
inferredcites →https://doi.org/10.1145/3531146.3533236openalex-snapshot
Marrying Fairness and Explainability in Supervised Learning
inferredcites →https://doi.org/10.1145/3534678.3539404openalex-snapshot
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage
inferredcites →https://doi.org/10.1145/3539618.3592070openalex-snapshot
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples
inferredcites →https://doi.org/10.1145/3543507.3583204openalex-snapshot
Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners’ Perspective
inferredcites →https://doi.org/10.1145/3543507.3583229openalex-snapshot
Collaboration-Aware Graph Convolutional Network for Recommender Systems
inferredcites →https://doi.org/10.1145/3543507.3583237openalex-snapshot
Dynamically Expandable Graph Convolution for Streaming Recommendation
inferredcites →https://doi.org/10.1145/3543507.3583296openalex-snapshot
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System
inferredcites →https://doi.org/10.1145/3543507.3583307openalex-snapshot
Controllable Universal Fair Representation Learning
inferredcites →https://doi.org/10.1145/3543507.3583538openalex-snapshot
CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation
inferredcites →https://doi.org/10.1145/3547333openalex-snapshot
A Survey on the Fairness of Recommender Systems
inferredcites →https://doi.org/10.1145/3564284openalex-snapshot
Bias and Debias in Recommender System: A Survey and Future Directions
inferredcites →https://doi.org/10.1145/3583780.3614848openalex-snapshot
Diversity-aware Deep Ranking Network for Recommendation
inferredcites →https://doi.org/10.1145/3593013openalex-snapshot
2023 ACM Conference on Fairness Accountability and Transparency
inferredcites →https://doi.org/10.1145/3604915.3608770openalex-snapshot
When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation
inferredcites →https://doi.org/10.1145/3604915.3608784openalex-snapshot
Towards Robust Fairness-aware Recommendation
inferredcites →https://doi.org/10.1145/3624918.3625318openalex-snapshot
Automatic Feature Fairness in Recommendation via Adversaries
inferredcites →https://doi.org/10.1145/3638352openalex-snapshot
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph
inferredcites →https://doi.org/10.1145/3655631openalex-snapshot
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning
inferredcites →https://doi.org/10.1609/aaai.v35i5.16573openalex-snapshot
Fairness-aware News Recommendation with Decomposed Adversarial Learning
inferredcites →https://doi.org/10.1609/aaai.v37i9.26344openalex-snapshot
Fairness and Explainability: Bridging the Gap towards Fair Model Explanations
inferredcites →https://doi.org/10.2753/jec1086-4415170202openalex-snapshot
Using Recommendation Agents to Cope with Information Overload
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Enhancing Rating-Based Recommender Systems: A Comprehensive Analysis of User Textual Reviews
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RGPRec: A RAG‐Enhanced GNN for Personalized Task Recommendations in Open‐Source Communities
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User Fairness in Recommender Systems Using Beyond-Accuracy Basket Quality Metrics
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Measuring Individual User Fairness with User Similarity and Effectiveness Disparity
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From Engagement to Empowerment: A Capability-Theoretic Rethinking of Recommender Systems
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A Framework for Fairness Evaluation in Academic Recommender Systems: Evidence from Scholarly Data
inferred← citeshttps://doi.org/10.1109/gcon69192.2026.11648386openalex-snapshot
DeepBalance: A Multi-Objective Framework for Mitigating Personalization Challenges in News Recommendation Systems
inferred← citeshttps://doi.org/10.1109/icaice68195.2025.11382449openalex-snapshot
Recommendation System with Negative Correlation Learning and Re-ranking Mechanism
inferred← citeshttps://doi.org/10.1109/icbctis66509.2025.11387401openalex-snapshot
A Federated GNN-based Intent-aware Fair Recommendation Method
inferred← citeshttps://doi.org/10.1109/icdsinc66221.2025.11448164openalex-snapshot
Towards Equitable Multi-Stakeholder Recommendation Systems through Fairness Utility Optimization
inferred← citeshttps://doi.org/10.1109/iciis69028.2026.11450909openalex-snapshot
Enhancing Fashion Recommendations Through Multimodal Graph Neural Networks with Cold-Start User Handling
inferred← citeshttps://doi.org/10.1109/iciss67859.2026.11453883openalex-snapshot
A Hybrid Content-Based Recommendation System for Netflix Using TF-IDF and SBERT Embeddings with MMR Diversity Optimization
inferred← citeshttps://doi.org/10.1109/iiai-aai63651.2024.00097openalex-snapshot
Association Rule Breaking Based Diversity for Recommender Systems
inferred← citeshttps://doi.org/10.1109/imitec60221.2024.10851124openalex-snapshot
A Review of Evaluation Metrics Algorithmic Used in Scholarly Research Recommender System
inferred← citeshttps://doi.org/10.1109/iscait64916.2025.11010716openalex-snapshot
Multi-Regularized Nonnegative Tensor Factorization for Context-Aware Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2025.3581706openalex-snapshot
Collaborative Knowledge Fusion: A Novel Method for Multi-Task Recommender Systems via LLMs
inferred← citeshttps://doi.org/10.1109/tkde.2026.3706635openalex-snapshot
On the Interplay of Explainability and Fairness in AI: A Survey
inferred← citeshttps://doi.org/10.1109/tsc.2025.3595214openalex-snapshot
Towards Fairness Exploration and Optimization for Digital Service Networks
inferred← citeshttps://doi.org/10.1142/s0219649226500255openalex-snapshot
Causal Analysis of AI–based Recommendation System Factors Using Decision–Making Trial and Evaluation Laboratory (DEMATEL) Method
inferred← citeshttps://doi.org/10.1145/3627673.3679629openalex-snapshot
On Evaluation Metrics for Diversity-enhanced Recommendations
inferred← citeshttps://doi.org/10.1145/3653016openalex-snapshot
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers
inferred← citeshttps://doi.org/10.1145/3689367openalex-snapshot
Special Issue on Responsible Recommender Systems Part 2
inferred← citeshttps://doi.org/10.1145/3705328.3748079openalex-snapshot
Mapping Stakeholder Needs to Multi-Sided Fairness in Candidate Recommendation for Algorithmic Hiring
inferred← citeshttps://doi.org/10.1145/3705328.3748761openalex-snapshot
Recommender Systems for Digital Humanities and Archives: Multistakeholder Evaluation, Scholarly Information Needs, and Multimodal Similarity
inferred← citeshttps://doi.org/10.1145/3708982openalex-snapshot
Privacy-preserved and Responsible Recommenders: From Conventional Defense to Federated Learning and Blockchain
inferred← citeshttps://doi.org/10.1145/3764687.3769943openalex-snapshot
LLM-Guided Image Recommendation for Supporting Intent Understanding in Non-Verbal Communication
inferred← citeshttps://doi.org/10.1145/3767337openalex-snapshot
ITCoHD-MRec: An Independent Topological Preference-Aware and Cooperative Hypergraph Diffusion-Based Multimodal Recommender Model
inferred← citeshttps://doi.org/10.1145/3769471openalex-snapshot
Beyond Trade-offs: Leveraging Spatiotemporal Heterogeneity of User Preference for Long-term Fairness and Accuracy in Interactive Recommendation
inferred← citeshttps://doi.org/10.1145/3770854.3780323openalex-snapshot
Certified Defense on the Fairness of Graph Neural Networks
inferred← citeshttps://doi.org/10.1145/3770855.3817931openalex-snapshot
DivCDSR: A Model-Agnostic Framework for Diverse Cross-Domain Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3773078.3831934openalex-snapshot
REEF: Real-time end-to-end Explore-Exploit framework for e-commerce Feeds
inferred← citeshttps://doi.org/10.1145/3774320openalex-snapshot
Diversification and Fairness in Search: Two Sides of the Same Coin?
inferred← citeshttps://doi.org/10.1145/3774935.3802529openalex-snapshot
The 14th International Workshop on News Recommendation and Analytics (INRA 2026)
inferred← citeshttps://doi.org/10.1145/3774935.3806153openalex-snapshot
Enhancing Diversity in News Recommendations Increases Click-Through Rates: Insights from an Online Experiment and User Study
inferred← citeshttps://doi.org/10.1145/3774935.3806165openalex-snapshot
Behind the Re-Rank: Explaining Fairness in Top-N Recommendations
inferred← citeshttps://doi.org/10.1145/3776745openalex-snapshot
DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks: A Survey
inferred← citeshttps://doi.org/10.1145/3777548openalex-snapshot
Understanding Sensitive Attribute Association Bias in Recommendation Embedding Algorithms
inferred← citeshttps://doi.org/10.1145/3785503openalex-snapshot
Towards Fair Graph Representation Learning by Overcoming Social Homophily
inferred← citeshttps://doi.org/10.1145/3789510openalex-snapshot
Multi-Interest Recommendation: A Survey
inferred← citeshttps://doi.org/10.1145/3799241openalex-snapshot
Popularity Bias Mitigation Based on Time Interval-Aware Data Augmentation for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3805689.3806483openalex-snapshot
Aligning Recommendations with User Popularity Preferences
inferred← citeshttps://doi.org/10.1145/3805712.3809597openalex-snapshot
Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment
inferred← citeshttps://doi.org/10.1145/3812652openalex-snapshot
Embedding in Recommender Systems: A Survey
inferred← citeshttps://doi.org/10.1145/3831688openalex-snapshot
ScoreRec: Reallocating Probability Mass in Sequential Recommendation via Score-based Diffusion Modeling
inferred← citeshttps://doi.org/10.1145/3839237openalex-snapshot
DIRECT: Deep Reinforcement Learning for Tourist Route Generation
inferred← citeshttps://doi.org/10.1145/3841477openalex-snapshot
The Unfairness of Multifactorial Bias in Recommendation
inferred← citeshttps://doi.org/10.12677/ecl.2025.14124433openalex-snapshot
Study on Multi-Dimensional Considerations and Optimization Paths of Algorithm Balance in E-Commerce Platforms
inferred← citeshttps://doi.org/10.12720/jait.16.9.1277-1294openalex-snapshot
Evolving Information Retrieval: From Traditional Models to Emerging Paradigms
inferred← citeshttps://doi.org/10.1371/journal.pone.0344537openalex-snapshot
Personalized novelty-aware recommendation in social recommender systems: A Framework
inferred← citeshttps://doi.org/10.1609/aaai.v38i20.30263openalex-snapshot
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10375648/v1openalex-snapshot
Multi-Stage Alignment of Large Language Models for Popularity Bias Mitigation in Generative Movie Recommendation
inferred← citeshttps://doi.org/10.2139/ssrn.7206473openalex-snapshot
Fair-NCL: Fairness-Aware Non-Contrastive Learning with Controlled Augmentation for Sequential Recommendation
inferred← citeshttps://doi.org/10.3389/fdata.2023.1251072openalex-snapshot
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks
inferred← citeshttps://doi.org/10.3390/info16020151openalex-snapshot
Popularity Bias in Recommender Systems: The Search for Fairness in the Long Tail
inferred← citeshttps://doi.org/10.3390/technologies14030162openalex-snapshot
AlphaLearn: A Multi-Objective Evolutionary Framework for Fair and Adaptive Optimization of E-Learning Pathways
inferred← citeshttps://doi.org/10.4018/979-8-2600-1343-4.ch001openalex-snapshot
Models of Cross-Cultural Consumer Behavior in Global Marketing Strategies and Business Expansion
inferred← citeshttps://doi.org/10.54392/irjmt2654openalex-snapshot
Dual Cloud - Sturnus Optimized Intent-BERT with Randomized Secure Anonymization based Bibliographic Network Recommender for Citation Recommendation System
inferred← citeshttps://doi.org/10.5753/reic.2026.8474openalex-snapshot
Uma Abordagem Híbrida para Sistemas de Recomendação com Base em Avaliações Textuais e Filtragem Colaborativa
inferred← citeshttps://doi.org/10.5753/reic.2026.8494openalex-snapshot
Calibração de Sistemas de Recomendação com LLMs: Efeitos da Otimização de Prompts sobre Precisão, Diversidade e Justiça
inferred← citeshttps://doi.org/10.5753/sbbd.2026.249259openalex-snapshot
Designing and Evaluating Calibration-Driven Recommender Systems for Fairness and Explainability
inferred← citeshttps://doi.org/10.5753/webmedia.2025.14831openalex-snapshot
Uma Abordagem Híbrida para Sistemas de Recomendação com Base em Avaliações Textuais e Filtragem Colaborativa
inferred← citeshttps://doi.org/10.5753/webmedia.2025.15613openalex-snapshot
Calibração de Sistemas de Recomendação com LLMs: Otimização de Prompts para Balancear Precisão, Diversidade e Justiça
inferred← citeshttps://doi.org/10.5772/intechopen.1012999openalex-snapshot
Fairness Evaluation in LLM-Based Educational Recommender Systems: A Framework for Equitable Learning
inferred← citeshttps://doi.org/10.64229/cas25k91openalex-snapshot
A Hybrid Matrix Factorization Framework for Balancing Personalization, Diversity, and Coverage in Ad Recommendation Systems
inferred← citeshttps://doi.org/10.64534/commer.2025.662openalex-snapshot
The Impact of Netflix’s AI Powered Recommendation System on Consumers’ Behavioral Intentions
inferred← citeshttps://doi.org/10.70239/arsu.2026.t84.n2.09openalex-snapshot
APPLICATION OF MACHINE LEARNING TO IMPROVE RECOMMENDATIONS IN PERSONALIZATION SYSTEMS: A HYBRID MODEL WITH ACTIVITY-ADAPTIVE WEIGHTING AND MMR DIVERSIFICATION
inferred← citeshttps://doi.org/10.7717/peerj-cs.4012openalex-snapshot
Fair assessment of fair recommender systems: an experimental framework on model and data characteristics
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