Say we have a dataset of multi-tagged items: books with multiple genres, articles with multiple topics, products with multiple categories. We want to organise logically these tags - the genres, the topics, the categories - in a descriptive but also actionable way. A typical organisation will be hierarchical, like a taxonomy. But rather than building it manually, we are going to learn it from the data in an automated way using Neo4j. Jesus will show how this taxonomy can be used and will present an example on content recommendation / enhanced search.
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