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Tag Archives: Neo4j

Neo4j: Generating real time recommendations with Cypher

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One of the most common uses of Neo4j is for building real time recommendation engines and a common theme is that they make use of lots of different bits of data to come up with an interesting recommendation. For example in this video Amanda shows how dating websites build real time recommendation engines by starting with social connections and then ...

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Neo4j: TF/IDF (and variants) with cypher

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A few weeks ago I wrote a blog post on running TF/IDF over HIMYM transcripts using scikit-learn to find the most important phrases by episode and afterwards I was curious how difficult it’d be to do in Neo4j. I started by translating one of wikipedia’s TF/IDF examples to cypher to see what the algorithm would look like:       ...

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Using the Neo4j browser with Embedded Neo4j

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There are times when you have an application using Neo4j in embedded mode but also need to play around with the graph using the Neo4j web browser. Since the database can be accessed from at most one process at a time, trying to start up the Neo4j server when your embedded Neo4j  application is running won’t work. The WrappingNeoServerBootstrapper, although deprecated, comes ...

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Neo4j: Cypher – Avoiding the Eager

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  Although I love how easy Cypher’s LOAD CSV command makes it to get data into Neo4j, it currently breaks the rule of least surprise in the way it eagerly loads in all rows for some queries even those using periodic commit. This is something that my colleague Michael noted in the second of his blog posts explaining how to ...

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Neo4j: Generic/Vague relationship names

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An approach to modelling that I often see while working with Neo4j users is creating very generic relationships (e.g. HAS, CONTAINS, IS) and filtering on a relationship property or on a property/label at the end node. Intuitively this doesn’t seem to make best use of the graph model as it means that you have to evaluate many relationships and nodes ...

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Neo4j: COLLECTing multiple values

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One of my favourite functions in Neo4j’s cypher query language is COLLECT which allows us to group items into an array for later consumption. However, I’ve noticed that people sometimes have trouble working out how to collect multiple items with COLLECT and struggle to find a way to do so. Consider the following data set:         create ...

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Integrate apps with Neo4j using Zapier

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Recently, I was directed to Zapier to get some lightweight integration done between systems for a quick proof of concept. Initially skeptical, I found that it really could save time and tie together all those pieces of your system you never got around to integrating. Moreover, it is a way for people to integrate the applications they use without having ...

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On Graph Computing

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The concept of a graph has been around since the dawn of mechanical computing and for many decades prior in the domain of pure mathematics. Due in large part to this golden age of databases, graphs are becoming increasingly popular in software engineering. Graph databases provide a way to persist and process graph data. However, the graph database is not ...

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Knowledge Representation and Reasoning with Graph Databases

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A graph database and its ecosystem of technologies can yield elegant, efficient solutions to problems in knowledge representation and reasoning. To get a taste of this argument, we must first understand what a graph is. A graph is a data structure. There are numerous types of graph data structures, but for the purpose of this post, we will focus on ...

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