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Assortment Optimization

Assortment optimization is all about presenting the right mix of products in the right channels at the right time.

Papers

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Showing 1–25 of 32 papers

TitleStatusHype
Optimizing Revenue while showing Relevant Assortments at ScaleCode1
Adversarial Combinatorial Bandits with General Non-linear Reward Functions—0
A Generalized Markov Chain Model to Capture Dynamic Preferences and Choice Overload—0
A Model of Competitive Assortment Planning Algorithm—0
A Neural Network Based Choice Model for Assortment Optimization—0
Consider or Choose? The Role and Power of Consideration Sets—0
A Re-solving Heuristic for Dynamic Assortment Optimization with Knapsack Constraints—0
Assortment Optimization Under the Mallows model—0
Assortment Optimization under Unknown MultiNomial Logit Choice Models—0
Assortment Optimization with Customer Choice Modeling in a Crowdfunding Setting—0
Assortment Optimization with Repeated Exposures and Product-dependent Patience Cost—0
Consumer Transactions Simulation through Generative Adversarial Networks—0
Continuous Assortment Optimization with Logit Choice Probabilities under Incomplete Information—0
Dynamic Assortment Optimization with Changing Contextual Information—0
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings—0
Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models—0
Learning an Optimal Assortment Policy under Observational Data—0
The Limits of Personalization in Assortment Optimization—0
Non-monotone Sequential Submodular Maximization—0
On Pareto Optimality for the Multinomial Logistic Bandit—0
Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing—0
A Nonparametric Approach with Marginals for Modeling Consumer Choice—0
The Refined Assortment Optimization Problem—0
Outer Approximation and Super-modular Cuts for Constrained Assortment Optimization under Mixed-Logit Model—0
PASTA: Pessimistic Assortment Optimization—0
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