Tag Archives: network

Building a Dating site with Neo4j – Part Six

Without posts, we can’t have High Fives and that defeats the purpose of our dating site, so it’s time to let our users post things. We want to allow two types of posts, text posts and image posts. Today we’re going to focus on text posts and getting them working and we’ll deal with images in another post. The first thing we want to do is prevent users from posting bad things. So we’re going to create a PostValidator to deal with the user input:
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Building a Dating site with Neo4j – Part Five

You ever eaten at a “Fusion Cuisine” type of restaurant? It’s a bit of a gamble. Personally I’m always up for eating just about anything… except Pho. That stuff messes me up. But back to fusion cuisine. I think my favorite is Indian and Mexican. Take your favorite Indian dish, wrap that in the warm embrace that is a burrito tortilla, heaven. Well, just about anything wrapped in a burrito is perfect. Why am I taking about Fusion and Wrapping stuff? Well, today we are going to add Auto Complete into our Dating Site, but before we can do that I need to talk to you about Neo4j’s Fusion Indexes and how they wrap the Lucene Indexes as well as our generation-aware B+tree (GB+Tree) indexes.
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Building a Dating site with Neo4j – Part Four

In the last post, we created a User model, built the login and registration pages, hooked everything up in our front end framework Jooby and got the ball rolling. I’m no designer so I am borrowing a Application Bootstrap Theme and tweaking that as we go along (if you are a designer, pull requests are welcomed). At this stage a ton of it is just mockup, but we will replace it with real functionality. This is what we have so far:
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Building a Dating site with Neo4j – Part Two

We came up with an idea for a dating site and an initial model in Part One. Next we are going to work on a back end HTTP API, because I’m old school and that’s the way I like it. We will build our HTTP API right into Neo4j using an extension which turns Neo4j from a Server into a Service. Unlike last time where we wrote a clone of Twitter, I don’t really know where I’m going with this, so let’s start with some of the obvious API endpoints and then we can design and build more as we go along. Is this Agile or am I just being an idiot? I can’t tell, so onward we go.
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Building a Dating site with Neo4j – Part One

You might have already heard that Facebook is getting into the Dating business. Other dating sites have been using graphs in the past and we’ve looked at finding love using the graph before. It has been a while though, so let’s return to the topic making use of the new Date and Geospatial capabilities of Neo4j 3.4. I have to warn you though that I’ve been with Helene for almost 15 years and missed out on all this dating site fun, what I do know I blame Colin for it and some pointers from the comments section of this blog post.
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Offers with Neo4j

If you have started or are thinking about starting a Graph project, you ought to get in touch with me. I’ve been involved in hundreds of graph database backed projects and chances are I can point you in the right direction. It doesn’t cost anything to get on a goto meeting for an hour and talk about it. Contact me at max@neo4j.com to schedule it. If you are very serious and have a little budget allocated then I recommend you sign up for one of our bootcamps. You’ll be amazed at what we can accomplish together in a very short time. I’ll even make you a deal, if you sign up for a bootcamp and end up buying a commercial license, we’ll give you a week of professional services absolutely free.
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Scheduling Meetings with Neo4j

One of the symptoms of any fast growing company is the lack of available meeting rooms. The average office worker gets immense satisfaction to their otherwise mundane workday when they get to kick someone else out of the meeting room they booked. Of course that joy can be cut short (along with their career) once realizing some unnoticed VIP was unceremoniously kicked out. It’s not a super exciting use case, but today I’m going to show you how to use Neo4j to perform some scheduling gymnastics.
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Neo4j Geospatial Queries

When I was growing up, the Neo Geo was the high end gaming system around. It was however prohibitively expensive for most people… and definitely out of my price range. I grew up in a mobile home park in Union City, CA. Near the old drive in theater now long gone. It was also next to an industrial park in Hayward where a food truck would make the best burritos $3 could buy. A search for the best burritos in Union City would have missed this food truck gem. Geographic boundaries can be a problem when searching for things by specific places. To get around this problem, we tend to use latitude and longitude and then perform a radius or bounding box search. Today I want to present to you a hybrid approach using Neo4j.

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Dynamic Rule Based Decision Trees in Neo4j – Part 2

A couple of weeks ago I showed you how to build a dynamic rule based decision tree in Neo4j. It was pretty simple and used an Expression Evaluator to determine if a set of parameters in an expression was true or false. Based on that answer it decided where to go.

But what if we had more than just true or false? What if we wanted to make our Rule nodes have more than 2 options? Today I am going to show you how to do just that… but please make sure you have read part 1 already.

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Dynamic Rule Based Decision Trees in Neo4j

A few posts ago I showed you how to build a Boolean Logic Rules Engine in Neo4j. What I like about it is that we’ve pre-calculated all our potential paths, so it’s just a matter of matching up our facts to the paths to get to the rule and we’re done. But today I am going to show you a different approach where we are going to have to calculate what is true as we go along a decision tree to see which answer we get to.

Yes, it will be a bit slower than the first approach, but we avoid pre-calculation. It also makes things a bit more dynamic, as we can change the decision tree variables on the fly. The idea is to merge code and data into one, to gain the benefit of agility.

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