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Repository to accompany Adaptive Preference Measurement with Unstructured Data, forthcoming at Management Science.

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Code to accompany: Adaptive Preference Measurement with Unstructured Data

By Ryan Dew

This directory is broken into two subdirectories:

  1. app - This contains all the code to deploy our testing framework.

    • For readers interested in just how the models work, please reference: app/backend/model.
    • For the data used in the model, please reference: app/backend/data. Note: the embeddings and images provided by the company have been omitted for confidentiality. The VGG-19 embeddings are provided.
    • Under app, the subdirectory "offline" contains all of the scripts to process results and run any offline analyses
  2. results_and_analysis - This contains all of the results from using the app live, plus the analysis scripts to generate all plots and tables in the paper.

    • To generate all the tables and figures from the paper, see the scripts under /analysis.
    • All raw respondent data can be found in: results/raw
    • Minimally processed (and much more user-friendly) versions of the results can be found in the other subdirectories of /results.

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Repository to accompany Adaptive Preference Measurement with Unstructured Data, forthcoming at Management Science.

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