Personalizing Benefits Allocation Without Spending Money

Author:

Goldenberg Dmitri1,Albert Javier1

Affiliation:

1. Booking.com, Israel

Publisher

ACM

Reference8 articles.

1. Javier Albert and Dmitri Goldenberg. 2021. E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling. Javier Albert and Dmitri Goldenberg. 2021. E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling.

2. Susan Athey and Guido  W Imbens . 2015. Machine learning methods for estimating heterogeneous causal effects. stat 1050, 5 ( 2015 ), 1–26. Susan Athey and Guido W Imbens. 2015. Machine learning methods for estimating heterogeneous causal effects. stat 1050, 5 (2015), 1–26.

3. Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints

4. Dmitri Goldenberg , Javier Albert , and Guy Tsype . 2021 . Optimization Levers for Promotions Personalization Under Limited Budget. In Workshop of Multi-Objective Recommender Systems (MORS’21) , in conjunction with the 15th ACM Conference on Recommender Systems, RecSys, Vol. 21. 2021. Dmitri Goldenberg, Javier Albert, and Guy Tsype. 2021. Optimization Levers for Promotions Personalization Under Limited Budget. In Workshop of Multi-Objective Recommender Systems (MORS’21), in conjunction with the 15th ACM Conference on Recommender Systems, RecSys, Vol. 21. 2021.

5. Personalization in Practice: Methods and Applications

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1. DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation;Lecture Notes in Computer Science;2024

2. Two-Sided Instant Incentive Optimization under a Shared Budget in Ride-Hailing Services;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

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