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Ambiata Blog Entry - Unsupervised Customer Segmentation with Knowledge Graph Embeddings

This is the code for mimicking the paper Unsupervised Customer Segmentation with Knowledge Graph Embeddings by Sumit Pai et al. The paper experiments with using graphs of customers purchasing and reviewing consumable products. This blog focuses on two data sources. Rate Beer and My Anime List

Rate Beer has the reviews on beer consumed by a reviewers and is available by registering for the api and downloading the Stanford created file that is zipped and immediately available for use. My Anime List contains the reviews of Anime customers, as well as what episode they have watched which this blog attempts to show this can be treated as a consumable product.

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