GraphAware Blog - Elasticsearch

Find out what's new in the world of mission-critical graph analytics.

Graph-Aided Search - The Rise of Personalised Content

20 Apr 2016 by Alessandro Negro, Christophe Willemsen · 26 min read Neo4j Cypher Recommendations Elasticsearch

In our previous blog postwe introduced the concept of Graph Aided Search. It refers to a personalised user experience during search where theresults are customised for each user based on information gathered about them (likes, friends, clicks, buying history, etc.).This information is stored in a graph database and processed using machine learning and/or graph analysis algorithms.

Recommendations with Neo4j and Graph-Aided Search

30 Sep 2015 by Michal Bachman · 4 min read Neo4j Recommendations Search Elasticsearch

For the last couple of years, Neo4j has been increasingly popular as the technology of choice for people building real-time recommendation engines. Having been at the forefront of the graph movement through clientengagements and open-source software development, we have identified the next step in the natural evolution of graph-based recommendationengines. We call it Graph-Aided Search.