Creating an Intelligent Recommendation Framework
By Jocelyn Hoppa
September 5, 2019 3 mins read
Read this blog to learn more about the benefits of using a native graph database to build a real-time recommendation engine with personalization.
Explore: centrality algorithms • community detection • cypher • data model • graph algorithms • graph database • graph model • GraphQL API • index free adjacency • Intelligent Recommendations Framework
This Week in Neo4j – NetSCAN community detection, Trending Activity Feeds Using GraphQL and Neo4j, Neo4j to Contentful in Elixir
By Mark Needham
September 1, 2018 4 mins read
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 have the NetSCAN community detection algorithm, Neo4j to Contentful in Elixir, messaging features… Read more →
Explore: community detection • cypher • dating • discourse • GRANDstack • GraphQL • twin4j
Graph Algorithms in Neo4j: Streamline Data Discoveries with Graph Analytics
By Bryce Merkl Sasaki
April 16, 2018 3 mins read
To analyze the billions of relationships in your connected data, you need efficiency and high performance, as well as powerful analytical tools that address a wide variety of graph problems. Fortunately, graph algorithms are up to the challenge. In this… Read more →
Explore: apache spark • APOC • breadth-first search • community detection • Connected Data • depth-first search • graph algorithms • Graph Analytics • GraphX • PageRank
