A Multi-Objective Learning to re-Rank Approach to Optimize Online
Marketplaces for Multiple Stakeholders

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A Multi-Objective Learning to re-Rank Approach to Optimize Online Marketplaces for Multiple Stakeholders

2 August 2017

Phong H. Nguyen

Jan Krasnodebski

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Papers citing "A Multi-Objective Learning to re-Rank Approach to Optimize Online Marketplaces for Multiple Stakeholders"

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Title
A Hybrid Meta-Learning and Multi-Armed Bandit Approach for Context-Specific Multi-Objective Recommendation Optimization Tiago Cunha Andrea Marchini 26 0 0 13 Sep 2024
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems Ashmi Banerjee Paromita Banik Wolfgang Wörndl 61 14 0 05 Sep 2023
Fair Effect Attribution in Parallel Online Experiments Alexander K. Buchholz Vito Bellini Giuseppe Di Benedetto Yannik Stein M. Ruffini Fabian Moerchen 143 1 0 15 Oct 2022
Sample-Rank: Weak Multi-Objective Recommendations Using Rejection Sampling A. Shukla Jairaj Sathyanarayana Dipyaman Banerjee OffRL 15 0 0 24 Aug 2020
Beyond Personalization: Research Directions in Multistakeholder Recommendation Himan Abdollahpouri G. Adomavicius Robin Burke Ido Guy Dietmar Jannach Toshihiro Kamishima Jan Krasnodebski L. Pizzato 72 41 0 01 May 2019