Introducing GraphAware Databridge: Graph Data Import Made Simple
10 Oct 2016 by Vince Bickers Neo4j ETL Databridge
Find out what's new in the Neo4j world
10 Oct 2016 by Vince Bickers Neo4j ETL Databridge
04 Oct 2016 by Alessandro Negro Neo4j NLP
In recent years, the rapid growth of social media communities has created a vast amount of digital documents on the web. Recommending relevant documents to users is a strategic goal for the effectiveness of customer engagement but at the same time is not a trivial problem.
30 Sep 2016 by Mark Angrish Neo4j Spring SDN OGM Beginner
Previous articles have shown you how easy using Spring with Neo4j can be. Now the next release of Spring Data Neo4j (SDN), we are going to make this even easier!
29 Sep 2016 by Eric Spiegelberg, Guest Author Neo4j SDN Internationalization Localization
Whether you realize it or not, the software you create has a global market. Perhaps more so than any other product in any other industry, code that may start as a small, individual effort has the potential to rapidly blossom into a product used around the world. While it is not always obvious that your application can or will have such wide usage, it is in your best interest to maximize the number of organizations and people you can reach. This means it is important to ensure your software is internationalized and localized.
06 Sep 2016 by Christophe Willemsen Neo4j NLP Advanced
Without question, Github is the biggest code sharing platform on the planet. With more than 14 millions users and 35 million repositories, the insights you can discover by analyzing the data available through its API are surprising and revealing.
27 Jul 2016 by Christophe Willemsen Neo4j Elasticsearch Framework
During GraphConnect San Francisco 2015, we introduced the concept of Graph-Aided Search and released the first module providing Neo4j data replication to Elasticsearch.
19 Jul 2016 by Luanne Misquitta Neo4j HCM PeopleAnalytics HR HRTech
In the Bersin Predictions for 2016 report, Josh Bersin states that “it feels as though everything in the world of talent is changing – from the way we recruit and attract people, as well as how we reward them, to the way we learn, and how we curate and manage our entire work-life experience”[1].
07 Jul 2016 by Alessandro Negro Neo4j GraphAware Enterprise NLP Search Advanced
A great part of the world’s knowledge is stored using text in natural language, but using it in an effective way is still a major challenge. Natural Language Processing (NLP) techniques provide the basis for harnessing this huge amount of data and converting it into a useful source of knowledge for further processing.
20 Apr 2016 by Alessandro Negro and Christophe Willemsen Neo4j Cypher Recommendations Elasticsearch
In our previous blog post we introduced the concept of Graph Aided Search. It refers to a personalised user experience during search where the results 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.
18 Apr 2016 by Michal Bachman Neo4j Beginner Modelling
At GraphAware, we live and breathe Neo4j. For three years, we have been helping customers around the world embrace this amazing technology as a solution to many interesting problems. Mainstream applications of graphs, such as real-time recommendations, fraud detection, impact analysis, and graph-aided search, have been getting a lot of media attention.