Connecting Users Via Knowledge Graph
summary
Hewlett Packard Enterprise builds a knowledge graph that links partners, certificates, products, orders and customers, runs an ensemble of GDS algorithms (K-means, weighted node similarity, PageRank) plus Market Basket on a relational DB, and returns up to five recommendations in three categories (HP resources, partners, co‑workers). Recommendations generate in under a minute per user and caching for millions of records populates in ~40 minutes on Neo4j versus days on a relational system, and users must consent to use.
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