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

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

9 November 2017
Francisco J. R. Ruiz
Susan Athey
David M. Blei
ArXivPDFHTML

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

8 / 8 papers shown
Title
Demand Estimation with Text and Image Data
Demand Estimation with Text and Image Data
Giovanni Compiani
Ilya Morozov
Stephan Seiler
DiffM
108
4
0
26 Mar 2025
Transformer Choice Net: A Transformer Neural Network for Choice
  Prediction
Transformer Choice Net: A Transformer Neural Network for Choice Prediction
Hanzhao Wang
Xiaocheng Li
K. Talluri
31
2
0
12 Oct 2023
Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with
  Python
Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python
Tianyu Du
Ayush Kanodia
Susan Athey
14
1
0
04 Apr 2023
Sequence-to-Set Generative Models
Sequence-to-Set Generative Models
Longtao Tang
Ying Zhou
Yu Yang
9
0
0
19 Sep 2022
Graph-Based Methods for Discrete Choice
Graph-Based Methods for Discrete Choice
K. Tomlinson
Austin R. Benson
13
3
0
23 May 2022
The Geometry of Culture: Analyzing Meaning through Word Embeddings
The Geometry of Culture: Analyzing Meaning through Word Embeddings
Austin C. Kozlowski
Matt Taddy
James A. Evans
35
377
0
25 Mar 2018
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel
  Time Using Mobile Location Data
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
14
66
0
22 Jan 2018
Bayesian Neural Word Embedding
Bayesian Neural Word Embedding
Oren Barkan
BDL
133
87
0
21 Mar 2016
1