This Week in Neo4j: Random Walk and Personalized PageRank Graph Algorithms, POLE and graph, Graphing UK company ownership
By Mark Needham
July 28, 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 a new release of the Graph Algorithms library and an eBook explaining… Read more →
Explore: global witness • graph algorithms • graph-based machine learning • personalized recommendations • random walk • Software Analytics • twin4j
This Week in Neo4j – 11 November 2017
By Mark Needham
November 11, 2017 3 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. Paradise Papers The big news this week was the ICIJ‘s release of the Paradise Papers –… Read more →
Explore: Amazon Rekognition • Data To Value • icij • instacart • paradise papers • personalized recommendations • Structr • twin4j
How Graphs Deliver our Strategic Vision at Packt Publishing
By Bryce Merkl Sasaki
June 9, 2016 11 mins read
Editor’s Note: This presentation was given by Greg Roberts at GraphConnect Europe in April 2016. Here’s the TL;DR of what he covered: Automated metadata generation using Stack Overflow tags and topic keywords Adding an ontology for context Parsing ebooks for… Read more →
Explore: automated metadata generation • graph • graph visualization • graphconnect • ontology • Packt Publishing • personalized recommendations • Spreading Activation • stack overflow • tf-idf algorithm
Shaping Up a Fitness Program Recommendation Engine & More [Community Post]
By Bryce Merkl Sasaki
March 17, 2016 4 mins read
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] The new year has come and gone, along with the first quarter, and likely all our… Read more →
Explore: asthma • beachbody • fitness program • graph database • neo4j • nutritional supplements • p90x • personalized recommendations • Recommendation Engine • weight loss
