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SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements

9 November 2017

Papers citing "SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements"

22 / 22 papers shown

Title
Demand Estimation with Text and Image DataSocial Science Research Network (SSRN), 2025 Giovanni Compiani Ilya Morozov Stephan Seiler DiffM 730 6 0 26 Mar 2025
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data Yu Xia Chi-Hua Wang Joshua Mabry Guang Cheng ELM 217 8 0 19 Jun 2024
A Survey of Reasoning for Substitution Relationships: Definitions, Methods, and Directions Anxin Yang Zhijuan Du Tao Sun 187 0 0 09 Apr 2024
RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation Yu Xia Ali Arian S. Narayanamoorthy Joshua Mabry 134 3 0 21 Dec 2023
Transformer Choice Net: A Transformer Neural Network for Choice Prediction Hanzhao Wang Xiaocheng Li Kalyan Talluri 130 4 0 12 Oct 2023
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python Tianyu Du Ayush Kanodia Susan Athey 217 1 0 04 Apr 2023
Sequence-to-Set Generative ModelsNeural Information Processing Systems (NeurIPS), 2022 Longtao Tang Ying Zhou Yu Yang 108 1 0 19 Sep 2022
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora EmbeddingsIEEE International Joint Conference on Neural Network (IJCNN), 2022 Sergiy Tkachuk Anna Wróblewska Jacek Dąbrowski S. Lukasik CML 96 3 0 10 Aug 2022
A Causal Approach for Business Optimization: Application on an Online Marketplace Naama Parush Ohad Levinkron-Fisch H. Shteingart Amir Bar Sela Amir Zilberman Jake Klein 110 0 0 04 Jul 2022
Graph-Based Methods for Discrete ChoiceNetwork Science (NS), 2022 K. Tomlinson Austin R. Benson 134 8 0 23 May 2022
CAREER: A Foundation Model for Labor Sequence Data Keyon Vafa Emil Palikot Tianyu Du Ayush Kanodia Susan Athey David M. Blei 280 11 0 16 Feb 2022
Pseudo-Euclidean Attract-Repel Embeddings for Undirected Graphs A. Peysakhovich Anna Klimovskaia Susmel Léon Bottou GNN 203 0 0 17 Jun 2021
Studying Product Competition Using Representation Learning Fanglin Chen Xiao Liu Davide Proserpio Isamar Troncoso Feiyu Xiong 121 10 0 21 May 2020
Scalable bundling via dense product embeddings Madhav Kumar Dean Eckles Sinan Aral 137 14 0 31 Jan 2020
Optimal Experimental Design for Staggered RolloutsManagement Sciences (MS), 2019 Ruoxuan Xiong Susan Athey Mohsen Bayati Guido Imbens 283 40 0 09 Nov 2019
Counterfactual Inference for Consumer Choice Across Many Product CategoriesQuantitative Marketing and Economics (QME), 2019 Rob Donnelly Francisco J. R. Ruiz David M. Blei Susan Athey CML 213 36 0 06 Jun 2019
Machine Learning Methods Economists Should Know About Susan Athey Guido Imbens 223 743 0 24 Mar 2019
Discovering Context Effects from Raw Choice DataInternational Conference on Machine Learning (ICML), 2019 Arjun Seshadri A. Peysakhovich J. Ugander 135 27 0 08 Feb 2019
Computing large market equilibria using abstractions Christian Kroer A. Peysakhovich Eric Sodomka Nicolas Stier-Moses 165 31 0 18 Jan 2019
Ensemble Method for Censored Demand Prediction E. Ozhegov Daria Teterina 65 5 0 22 Oct 2018
The Geometry of Culture: Analyzing Meaning through Word Embeddings Austin C. Kozlowski Matt Taddy James A. Evans 151 428 0 25 Mar 2018
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data Susan Athey David M. Blei Rob Donnelly Francisco J. R. Ruiz Tobias Schmidt 134 68 0 22 Jan 2018