real-time recommendations Archives - Neo4j Graph Database Platform

Retail & Neo4j: Personalized Promotion & Product Recommendations

By Bryce Merkl Sasaki | November 6, 2017

Today’s retailers face a number of complex and emerging challenges. Thanks to lower overhead and higher volume, online behemoths like Amazon can deliver products faster and at a lower price, driving smaller retailers out of business. In order to compete,… Read more →

Keywords: Connected Data • Cyber Monday • ecommerce • graph technology • personalized promotion • product recommendations • real-time recommendations • Recommendation Engine • Retail • Walmart

This Week in Neo4j – 2 April 2017

By Mark Needham | April 2, 2017

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. It’s a varied episode this week – we’ve got a worm’s neuronal wiring graph, bitcoin explorers,… Read more →

Keywords: Bitcoin • datakind • emil eifrem • graph visualization • Jim Webber • ontology • real-time recommendations • twin4j • user-defined procedures

Who Cares What Beyoncé Ate for Lunch?

By Rachel Howard | November 16, 2016

Editor’s Note: This presentation was given by Alicia Powers at GraphConnect Europe in April 2016. Here’s a quick review of what she covered: The global obesity epidemic How to verify your data model The key components of a recommendation engine… Read more →

Keywords: Beyoncé • CDC • center for disease control • data model • graph data model • graphconnect • r • real-time recommendations • recommendation algorithm • Recommendation Engine

From the Neo4j Community: February 2016

By Bryce Merkl Sasaki | March 8, 2016

In the Neo4j community last month, love was in the air. That love expressed itself as more nodes than ever in our community content. From articles and podcasts to GraphGists and other projects, our global graph of community members keeps… Read more →

Keywords: cypher • data pipeline • elasticsearch • fraud detection • graph database • graph visualization • Master Data Management • metadata management • Neo4j Community • real-time recommendations

Your Perfect Mix Tape for Original Art: Artfinder + Neo4j [Community Post]

By Bryce Merkl Sasaki | February 25, 2016

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] They say that that good artists copy, but great artists steal, right? At Artfinder, the global… Read more →

Keywords: art • art recommendations • artfinder • collaborative filtering • cypher • graph database • machine learning • neo4j • real-time recommendations • Recommendation Engine

The 5-Minute Interview: Scott David, World Economic Forum

By Bryce Merkl Sasaki | January 22, 2016

This week’s 5-minute interview is with Scott David, the Director of Information Interaction at the World Economic Forum. I caught up with Scott David for a video interview at GraphConnect San Francisco. Q: Please tell us a little bit about… Read more →

Keywords: 5-minute interview • cypher • data model • global issues • GraphAware • graphconnect • neo4j • real-time recommendations • transformation map • world economic forum

Neo4j Doc Manager: Polyglot Persistence for MongoDB & Neo4j

By Bryce Merkl Sasaki | October 29, 2015

When building scalable applications, developers have a myriad of technologies to choose from, especially when choosing a database technology. We want to choose the right piece of technology that offers optimal enhancement of functionality or performance boost. However, when adding… Read more →

Keywords: data model • document database • mongo connector • MongoDB • neo4j • polyglot persistence • product catalog • property graph • property graph model • real-time recommendations

The Future of Recommendation Engines: Graph-Aided Search

By Bryce Merkl Sasaki | October 6, 2015

Editor’s Note: GraphAware is a Silver sponsor of GraphConnect San Francisco. Register for GraphConnect to meet Michal and other sponsors in person. For the last couple of years, Neo4j has been increasingly popular as the technology of choice for people… Read more →

Keywords: Connected Data • elasticsearch • graph database • neo4j • open source software • real-time recommendations • Recommendation Engine • Search Engine • social network • Solr

Graph Databases in the Enterprise: Real-Time Recommendation Engines

By Bryce Merkl Sasaki | September 28, 2015

Whether your enterprise operates in the retail, social, services or media sector, offering your users highly targeted, real-time recommendations is essential to maximizing customer value and staying competitive. Unlike other business data, recommendations must be inductive and contextual in order… Read more →

Keywords: browsing history • eBay • Graph Databases • logistics • product recommendations • purchase history • real-time recommendations • Recommendation Engine • use case • Walmart

Congratulations to Aurelius, Välkommen to DataStax!

By Emil Eifrem, Chief Executive Officer | February 5, 2015

Congratulations to Aurelius on the news of your recent acquisition! The Aurelius team has always been our companions in promoting the value of relationships in data, and I wish you all the best as you embark upon the journey of… Read more →

Keywords: Aurelius • Data Relationships • Datastax • fraud detection • graph data analysis • graph database • industry growth • real-time recommendations • supply chain management • Titan

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Tag Archives: real-time recommendations