Approximation algorithms for product framing and pricing
Citations
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Cited by:
- Ali Aouad & Danny Segev, 2023. "Technical Note—An Approximate Dynamic Programming Approach to the Incremental Knapsack Problem," Operations Research, INFORMS, vol. 71(4), pages 1414-1433, July.
- Gerardo Berbeglia & Alvaro Flores & Guillermo Gallego, 2021. "The Refined Assortment Optimization Problem," Papers 2102.03043, arXiv.org.
- Mahsa Derakhshan & Negin Golrezaei & Vahideh Manshadi & Vahab Mirrokni, 2022. "Product Ranking on Online Platforms," Management Science, INFORMS, vol. 68(6), pages 4024-4041, June.
- Ali Aouad & Daniela Saban, 2023. "Online Assortment Optimization for Two-Sided Matching Platforms," Management Science, INFORMS, vol. 69(4), pages 2069-2087, April.
- Shouchang Chen & Zhenzhen Yan & Yun Fong Lim, 2024. "Managing the Personalized Order-Holding Problem in Online Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 26(1), pages 47-65, January.
- Ruxian Wang, 2022. "The Threshold Effects on Consumer Choice and Pricing Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 24(1), pages 448-466, January.
- Ali Aouad & Jacob Feldman & Danny Segev & Dennis J. Zhang, 2025. "The Click-Based MNL Model: A Framework for Modeling Click Data in Assortment Optimization," Management Science, INFORMS, vol. 71(8), pages 6943-6960, August.
- Yiyun Luo & Will Wei Sun & Yufeng Liu, 2026. "Rate-Optimal Online Learning for Dynamic Assortment Selection with Positioning," Operations Research, INFORMS, vol. 74(1), pages 224-242, January.
- Alison Borenstein & Ankit Mangal & Georgia Perakis & Stefan Poninghaus & Divya Singhvi & Omar Skali Lami & Jiong Wei Lua, 2023. "Ancillary Services in Targeted Advertising: From Prediction to Prescription," Manufacturing & Service Operations Management, INFORMS, vol. 25(4), pages 1285-1303, July.
- Yicheng Liu & Xiao Alison Chen & Yan Liu & Zizhuo Wang, 2025. "Simultaneous vs. Sequential: Optimal Assortment Recommendation in Multistore Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 27(3), pages 825-842, May.
- Kris J. Ferreira & Sunanda Parthasarathy & Shreyas Sekar, 2022. "Learning to Rank an Assortment of Products," Management Science, INFORMS, vol. 68(3), pages 1828-1848, March.
- Yuyang Tan & Hao Gong & Chunxiang Guo, 2025. "Bi-Objective Optimization of Product Selection and Ranking Considering Sequential Search," SAGE Open, , vol. 15(3), pages 21582440251, August.
- Xingyu Fu & Ningyuan Chen & Pin Gao & Yang Li, 2026. "Privacy-Preserving Personalized Recommender Systems," Manufacturing & Service Operations Management, INFORMS, vol. 28(1), pages 271-289, January.
- Ying-Ju Chen & Guillermo Gallego & Pin Gao & Yang Li, 2025. "Position Auctions with Endogenous Product Information: Why Live-Streaming Advertising Is Thriving," Management Science, INFORMS, vol. 71(11), pages 9290-9307, November.
- Ruxian Wang, 2022. "What Is the Impact of Nonrandomness on Random Choice Models?," Manufacturing & Service Operations Management, INFORMS, vol. 24(1), pages 485-503, January.
- Negin Golrezaei & Vahideh Manshadi & Jon Schneider & Shreyas Sekar, 2023. "Learning Product Rankings Robust to Fake Users," Operations Research, INFORMS, vol. 71(4), pages 1171-1196, July.
- Ningyuan Chen & Adam N. Elmachtoub & Michael L. Hamilton & Xiao Lei, 2021. "Loot Box Pricing and Design," Management Science, INFORMS, vol. 67(8), pages 4809-4825, August.
- KabirMamdouh, Alireza & Kök, A. Gürhan, 2025. "A personalized content-based method to predict customers’ preferences in an online apparel retailer," International Journal of Production Economics, Elsevier, vol. 280(C).
- Jacob Feldman & Dennis J. Zhang & Xiaofei Liu & Nannan Zhang, 2022. "Customer Choice Models vs. Machine Learning: Finding Optimal Product Displays on Alibaba," Operations Research, INFORMS, vol. 70(1), pages 309-328, January.
- Ali Aouad & Danny Segev, 2021. "Display Optimization for Vertically Differentiated Locations Under Multinomial Logit Preferences," Management Science, INFORMS, vol. 67(6), pages 3519-3550, June.
- Danny Segev, 2025. "Near-Optimal Adaptive Policies for Serving Stochastically Departing Customers," Operations Research, INFORMS, vol. 73(5), pages 2744-2760, September.
- Guillermo Gallego & Gerardo Berbeglia, 2021. "The Limits of Personalization in Assortment Optimization," Papers 2109.14861, arXiv.org, revised Jun 2024.
- Guillermo Gallego & Anran Li, 2024. "A Random Consideration Set Model for Demand Estimation, Assortment Optimization, and Pricing," Operations Research, INFORMS, vol. 72(6), pages 2358-2374, November.
- Yanzhe (Murray) Lei & Stefanus Jasin & Joline Uichanco & Andrew Vakhutinsky, 2022. "Joint Product Framing (Display, Ranking, Pricing) and Order Fulfillment Under the Multinomial Logit Model for E-Commerce Retailers," Manufacturing & Service Operations Management, INFORMS, vol. 24(3), pages 1529-1546, May.
- Santiago R. Balseiro & Antoine Désir, 2023. "Incentive-Compatible Assortment Optimization for Sponsored Products," Management Science, INFORMS, vol. 69(8), pages 4668-4684, August.
- Jacob Feldman & Danny Segev, 2022. "Technical Note—The Multinomial Logit Model with Sequential Offerings: Algorithmic Frameworks for Product Recommendation Displays," Operations Research, INFORMS, vol. 70(4), pages 2162-2184, July.
- Berbeglia, Franco & Berbeglia, Gerardo & Van Hentenryck, Pascal, 2021. "Market segmentation in online platforms," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1025-1041.
- Xiaoyang Long & Jiankun Sun & Hengchen Dai & Dennis Zhang & Jianfeng Zhang & Yujie Chen & Haoyuan Hu & Binqiang Zhao, 2025. "The Choice Overload Effect in Online Recommender Systems," Manufacturing & Service Operations Management, INFORMS, vol. 27(1), pages 249-268, January.
- Arash Asadpour & Rad Niazadeh & Amin Saberi & Ali Shameli, 2023. "Sequential Submodular Maximization and Applications to Ranking an Assortment of Products," Operations Research, INFORMS, vol. 71(4), pages 1154-1170, July.
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