08 Mar 2017
by Miro Marchi
Recommendation engines are a crucial element in the global trend towards a push-based web experience and away from a pull-based one. They provide the ability to personalize content offered to each user by predicting the interest the user will have in the recommended items. This is not only a powerful business tool for content providers, but also a vital improvement to the user experience. In today’s world where the volume, interdependence, variety and speed of information is overwhelming, recommendation engines can significantly reduce the gap between us and what we search for. Indeed, these engines are used even to enhance common text based search (read more about graph-aided search in our blog).
25 Nov 2016
by Miro Marchi
Last month, the 5th edition of GraphConnect San Francisco took place at the Hyatt Regency SF. It was the biggest graph technology event ever and GraphAware proudly contributed as a sponsor, with one main talk, two lightning talks and our GraphHero stand ｡^‿^｡ This edition’s big announcement was the upcoming new landmark release of Neo4j 3.1, “The database for the connected enterprise”, which introduces a new state-of-the-art clustering architecture and new security architecture to meet enterprise requirements for scale and security. There will be a lot to say about this release, but you can already try the beta release as we have done!
30 Sep 2016
by Mark Angrish
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
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
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
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
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”.
07 Jul 2016
by Alessandro Negro
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
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
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.