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Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems

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A survey on personalized itinerary recommendation: From optimisation to deep learning

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Revisiting Bundle Recommendation

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Fair sequential group recommendations

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Fair and Representative Subset Selection from Data Streams

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User Perception of Fairness-Calibrated Recommendations

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Enumerating Fair Packages for Group Recommendations

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Fairness-aware Maximal Clique Enumeration

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Fairness and Sustainability in Multistakeholder Tourism Recommender Systems

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Product Bundle Identification using Semi-Supervised Learning

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Contextualized Fairness for Recommender Systems in Premium Scenarios

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Multidimensional Group Recommendations in the Health Domain

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Facets of Fairness in Search and Recommendation

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Perception of Fairness in Group Music Recommender Systems

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Multi-Stakeholder Recommendation: Applications and ChallengesPreprint

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Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs

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Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy

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Illuminating Recommendation by Understanding the Explicit Item Relations

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Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness

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Constrained Subset Selection from Data Streams for Profit Maximization

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Optimizing item and subgroup configurations for social-aware VR shopping

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Recommending packages with validity constraints to groups of users

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Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations

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AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders

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UniRecSys: A unified framework for personalized, group, package, and package-to-group recommendations

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Distributional Fairness-aware Recommendation

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Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?

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ADAPT: Fairness & diversity for sequential group recommendations

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Who to Connect to? Joint Recommendations in Cross-layer Social Networks

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Fairness and Explainability for Enabling Trust in AI Systems

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Effects of Quantitative Explanations on Fairness Perception in Group Recommender Systems

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A Re-ranking Approach for Two-sided Fairness on Recommendation Systems

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Bridging the Rift: A Critical Perspective on the Divergence in Group Recommender Systems Research

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FAGR: Fairness-aware Group Recommendation in Event-based Social Networks

Liang, Y. (2022) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata55660.2022.10020553 · Cited by 4 · see citing works

The Theory of Fair Allocation Under Structured Set Constraints

Biswas, A., Payan, J., Sengupta, R., & Viswanathan, V. (2023) · Studies in computational intelligence · doi:10.1007/978-981-99-7184-8_7 · Cited by 4 · see citing works

Recommending Packages of Multi-Criteria Items to Groups

Ceh-Varela, E., & Cao, H. (2019) · IEEE International Conference on Web Services (ICWS) · doi:10.1109/icws.2019.00054 · Cited by 4 · see citing works

Rank-sensitive proportional aggregations in dynamic recommendation scenarios

Balcar, Š., Škrhák, V., & Peška, L. (2022) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-021-09311-w · Cited by 4 · see citing works

A Research Proposal for Promoting Fairness in E-Commerce Recommendation Systems

Zhang, T. (2024) · International Conference on Behavioral, Economic, and Socio-Cultural Computing · doi:10.1109/besc64747.2024.10780676 · Cited by 3 · see citing works

On Epidemic-aware Socio Spatial POI Recommendation

Fotsing, C. P. K., Teng, Y.-W., Lee, G.-S., Shen, C.-Y., Chen, Y.-S., & Yang, D.-N. (2022) · IEEE International Conference on Mobile Data Management (MDM) · doi:10.1109/mdm55031.2022.00044 · Cited by 3 · see citing works

Probabilistic Majority Rule-Based Group Recommendation

Benouaret, K., & Tan, K. (2023) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde55515.2023.00118 · Cited by 3 · see citing works

FAER: Fairness-Aware Event-Participant Recommendation in Event-Based Social Networks

Liang, Y. (2024) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2024.3372409 · Cited by 3 · see citing works

Potential factors-embedding group recommendation for online education

Yang, Q., Wang, Y., Wu, Z., Zhang, J., Liu, L., & Zhang, J. (2024) · Discover Computing · doi:10.1007/s10791-024-09439-4 · Cited by 3 · see citing works

Recommending More Suitable Music Based on Users’ Real Context

Yang, Q., Zhan, L., Han, L., Zhang, J., & Bi, Z. (2019) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-12981-1_8 · Cited by 2 · see citing works

Modeling Uncertainty in Group Recommendations

Sacharidis, D. (2019) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3314183.3324987 · Cited by 2 · see citing works

A New Approach for Fairness Increment of Consensus-Driven Group Recommender Systems Based on Choquet Integral

Giap, C. N., Nguyen, S. N., Giang, N. L., Chau, H. T. M., Tuấn, T. M., & Sơn, L. H. (2021) · International Journal of Data Warehousing and Mining · doi:10.4018/ijdwm.290891 · Cited by 2 · see citing works

Fair Regret Minimization Queries

Ma, Y., & Zheng, J. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-91608-4_51 · Cited by 2 · see citing works

Towards Principled User-side Recommender Systems

Sato, R. (2022) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3511808.3557476 · Cited by 2 · see citing works

Unified Group Recommendation Towards Multiple Criteria

Wu, Y., Yang, N., & Luo, H. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-26075-0_11 · Cited by 2 · see citing works

Multi-Round Recommendations for Stable Groups

Heiska, I., & Stefanidis, K. (2021) · IEEE International Conference on Progress in Informatics and Computing · doi:10.1109/pic53636.2021.9687062 · Cited by 1 · see citing works

On Spatial Crowdsourcing Query under Pandemics

Fotsing, C. P. K., Lee, G.-S., Teng, Y.-W., Shen, C.-Y., Chen, Y.-S., & Yang, D.-N. (2023) · IEEE International Conference on Mobile Data Management (MDM) · doi:10.1109/mdm58254.2023.00027 · Cited by 1 · see citing works

Long-term fairness in sequential group recommendations

Dokoupil, P., & Peška, L. (2026) · Knowledge and Information Systems · doi:10.1007/s10115-025-02642-9 · Cited by 1 · see citing works

FAER: Fairness-aware Event-participant Recommendation in Event-based Social Networks

Liang, Y. (2022) · doi:10.1145/3577530.3577555 · Cited by 1 · see citing works

Algorithmic Governance via Recommender Systems: The Case of Short Video PlatformPreprint

Zhang, J., Yang, M., Bi, X., & Wei, Q. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4572513 · Cited by 1 · see citing works

A Tag-Based Group Recommendation Algorithm

Ma, W., Gui, L., Li, Z., Han, Z., & Cao, K. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-30952-7_68

Coupled or Decoupled Evaluation for Group Recommendation Methods

Peška, L., & Maleček, L. (2021) · ACM Conference on Recommender Systems (RecSys)

FARGO: A Fair, Context-AwaRe, Group RecOmmender System

Azzalini, D., Quintarelli, E., Rabosio, E., & Tanca, L. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-09316-6_13

Kiite Cafe: A Web Service Enabling Users to Listen to the Same Song at the Same Moment While Reacting to the Song

Tsukuda, K., ISHIDA, K., Hamasaki, M., & Goto, M. (2023) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2023edp7001

Sequential Group Recommendations with Responsibility Constraints

Stratigi, M. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-62362-2_42

Enumerating Fair Packages for Group Recommendations

Sato, R. (2022) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/3488560.3498432 · Cited by 20 · see citing works

Recommending Packages to Groups

Qi, S., Mamoulis, N., Pitoura, E., & Tsaparas, P. (2016) · Proceedings · doi:10.1109/icdm.2016.0056 · Cited by 39 · see citing works

Recommending packages with validity constraints to groups of users

Qi, S., Mamoulis, N., Pitoura, E., & Tsaparas, P. (2017) · Knowledge and Information Systems · doi:10.1007/s10115-017-1082-9 · Cited by 9 · see citing works

A Package-to-Group Recommendation Framework

Benouaret, I., & Lenné, D. (2018) · Lecture notes in computer science · doi:10.1007/978-3-662-58415-6_2 · Cited by 1 · see citing works

How Does Fairness Matter in Group Recommendation

Xiao, L., & Gu, Z. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-68786-5_36 · Cited by 2 · see citing works