Maria Stratigi

According to our database, Maria Stratigi authored at least 20 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Explaining Group Recommendations via Counterfactuals.

Maria Stratigi, Nikos Bikakis, Kostas Stefanidis

CoRR, January, 2026

Multisided fairness under limited item availability in recommender systems.

Reza Shafiloo, Maria Stratigi, Jaakko Peltonen, Kostas Stefanidis

Inf. Sci., 2026

The many facets of fairness in recommender systems: Consumers, providers and items.

Reza Shafiloo, Maria Stratigi, Jaakko Peltonen, Thomas Olsson, Kostas Stefanidis

Inf. Syst., 2026

Selective Post-hoc Bias Mitigation via Counterfactual Sensitivity.

Roti Islam Shithy, Maria Stratigi, Kostas Stefanidis

Proceedings of the Workshops of the EDBT/ICDT 2026 Joint Conference co-located with the EDBT/ICDT 2025 Joint Conference, 2026

Adaptive Noise Injection in Variational Autoencoders for Enhancing Fairness in Group Recommendations.

Emaz Uddin Ahmad, Maria Stratigi, Kostas Stefanidis

Proceedings of the 28th International Workshop on Design, 2026

2025

STracker: A framework for identifying sentiment changes in customer feedbacks.

Petri Puustinen, Maria Stratigi, Kostas Stefanidis

Inf. Syst., 2025

Counterfactual Explanations for Group Recommendations.

Maria Stratigi, Nikos Bikakis, Kostas Stefanidis

Proceedings of the 27th International Workshop on Design, 2025

2024

Sequential Group Recommendations with Responsibility Constraints.

Maria Stratigi

Proceedings of the Web Engineering - 24th International Conference, 2024

SQUIRREL 2.0: Fairness & Explanations for Sequential Group Recommendations.

Md Mahade Hasan, Soha Pervez, Maria Stratigi, Kostas Stefanidis

Proceedings of the 26th International Workshop on Design, 2024

2023

Group Recommendations with Responsibility Constraints.

Maria Stratigi

PhD thesis, 2023

SQUIRREL: A framework for sequential group recommendations through reinforcement learning.

Maria Stratigi, Evaggelia Pitoura, Kostas Stefanidis

Inf. Syst., 2023

Fair Sequential Group Recommendations in SQUIRREL Movies.

Eva Chrysostomaki, Maria Stratigi, Vasilis Efthymiou, Kostas Stefanidis, Dimitris Plexousakis

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

2022

Sequential group recommendations based on satisfaction and disagreement scores.

Maria Stratigi, Evaggelia Pitoura, Jyrki Nummenmaa, Kostas Stefanidis

J. Intell. Inf. Syst., 2022

2020

Multidimensional Group Recommendations in the Health Domain.

Maria Stratigi, Haridimos Kondylakis, Kostas Stefanidis

Algorithms, 2020

Why-Not Questions & Explanations for Collaborative Filtering.

Maria Stratigi, Katerina Tzompanaki, Kostas Stefanidis

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Fair sequential group recommendations.

Maria Stratigi, Jyrki Nummenmaa, Evaggelia Pitoura, Kostas Stefanidis

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019

Ratings vs. Reviews in Recommender Systems: A Case Study on the Amazon Movies Dataset.

Maria Stratigi, Xiaozhou Li, Kostas Stefanidis, Zheying Zhang

Proceedings of the New Trends in Databases and Information Systems, 2019

2018

The FairGRecs Dataset: A Dataset for Producing Health-related Recommendations.

Maria Stratigi, Haridimos Kondylakis, Kostas Stefanidis

Proceedings of the First International Workshop on Semantic Web Technologies for Health Data Management, 2018

FairGRecs: Fair Group Recommendations by Exploiting Personal Health Information.

Maria Stratigi, Haridimos Kondylakis, Kostas Stefanidis

Proceedings of the Database and Expert Systems Applications, 2018

2017

Fairness in Group Recommendations in the Health Domain.

Maria Stratigi, Haridimos Kondylakis, Kostas Stefanidis

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017