Recommendation systems are useful for retail and other user-facing applications. A graph database provides key insights that can greatly improve results. In this session, we will show how to build a recommendation system based on historical purchase data.
We will show how to extract a graph from transactional tables, how to run graph algorithms and graph queries to generate recommendations, and how to visualize the graph to understand the logic.
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Build Recommendation Systems Using a Graph Database | NatokHD