This Week in Neo4j – Hands on with Neo4j Bloom, Building a Personalised Recommender, Popoto Release, Parsing the query log
By Mark Needham
May 12, 2018|
Reading time: 4 minutes
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we go hands on with Neo4j Bloom, there’s a new release of Popoto –… Read more →
Keywords: Game of Thrones • graph algorithms • graph data modeling • graph visualization • Neo4j Bloom • popoto.js • recommender system • sigma.js • twin4j
Amazon Eating Your Lunch? What Data-Driven Retailers Can Do About It [Community Post]
By Bryce Merkl Sasaki
August 31, 2017|
Reading time: 5 minutes
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Nearly every analyst of the retail industry would consider Amazon as the source of the declining… Read more →
Keywords: Amazon • Analytics • Connected Data • data silo • data-driven decision making • ecommerce • graph technology • multi-channel marketplace • recommender system • Retail
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