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  • August 2018 (Revised April 2019)
  • Supplement
  • HBS Case Collection

Chateau Winery (B): Supervised Learning

By: Srikant M. Datar and Caitlin N. Bowler
  • Format:Print
  • | Language:English
  • | Pages:12
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Abstract

This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those customers closest to them.

Topics include supervised learning; collaborative filtering; K-nearest neighbor as a modeling technique, collaborative filtering with cosine similarity of customers, collaborative filtering with cosine similarity of products, and comparison of different prediction models.

Keywords

Data Science; Clustering; Analytics and Data Science; Customers; Marketing; Analysis

Citation

Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
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About The Author

Srikant M. Datar

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Related Work

    • August 2018 (Revised April 2019)
    • Faculty Research

    Chateau Winery (B): Supervised Learning

    By: Srikant M. Datar and Caitlin N. Bowler
Related Work
  • Chateau Winery (B): Supervised Learning By: Srikant M. Datar and Caitlin N. Bowler
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