The Future of Recommendation Engines: Graph-Aided Search

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… Learn More →


Graph Databases in the Enterprise: Real-Time Recommendation Engines

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… Learn More →


From the Neo4j Community: August 2015

As summer wraps up, it’s time to look back at all of the wonderful projects, articles, videos and slideshows published by the Neo4j community. Below are our top summer picks from graphistas all across the world. If you would like… Learn More →


Slow SQL Queries Are Killing Your Recommendation Engine

In today’s fast-paced world, users won’t wait minutes for your recommendation engine to query the database. In fact, you’re lucky if they’re willing to wait more than a few seconds. The question is then: Is your relational database performing at… Learn More →


The Database Model Showdown: An RDBMS vs. Graph Comparison

The recent proliferation of database technologies is a testament to the fact that relational databases are not the right tool for every job. Of course, they have their uses: Tabular data with a consistent structure and fixed schema is a… Learn More →


Bootstrapping a Recommendation Engine with Neo4j [OSCON Preview]

Timely, relevant recommendations are the bedrock of business success. No matter whether your startup needs to generate social, retail, logistics or content recommendations, you need a recommendation engine that delivers those perfectly appropriate suggestions in real time. Since you’re trying… Learn More →


GraphConnect SF 2015

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