Fairness And Diversity In Social-Based Recommender Systems

Fairness and Diversity in Social-Based Recommender Systems

Fairness and Diversity in Social-Based Recommender Systems

Dimitris Sacharidis

Recommender Systems: Basics, Types, and Design Consideration

Data Science Dojo

Data privacy and fairness in recommender systems by Martin Tegner

GAIA

RecSys 2020 Tutorial: Counteracting Bias and Increasing Fairness in Search and Recommender Systems

Keynote - Fairness and Diversity in Online Social Systems - Elisa Celis

Fairness in Recommender Systems: Research Landscape and Future Directions

Andrew Le Duy Dung

Inclusive Search and Recommendations | Nadia Fawaz

Women in Data Science Worldwide

Building User Trust in Recommendations via Fairness and Explanations

User-oriented Fairness in Recommendation

VideoLecturesChannel

RecSys 2016: Tutorial on Group Recommender Systems

Fairness-Aware Ranking in Search & Recommendation Systems

LinkedIn Engineering

Close enough but not more of the same - personalized diversity in recommender systems

FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems

Post Processing Recommender Systems for Diversity

PS 7: User preferences in recommendation algorithms: the influence of user diversity, trust, and...

FAccTRec 2022: The 5th Workshop on Responsible Recommendation

Two-Sided Fairness Guarantees for Recommendation Systems (Arpita Biswas, IISC)

Utah DataScience

Recommender System in 6 Minutes