I recently had the desire and need to create a ranking algorithm for a side project I was working on. I wanted to keep both the design and implementation fairly simple for my project, so I think this post will be great for people wanting to get their toes wet.
The ranking algorithm I ended up building is used for ranking user-created content – similar to the ranking of posts on sites like Reddit or Hacker News. So one might describe it as a ‘hotness ranking‘ opposed to a ‘relevancy ranking’ used in search engines.
My goal is to walk through the basics of designing a ranking algorithm and then sharing my experiences and findings from implementing my algorithm. My implementation was done for a web application using Node.js and MongoDB.
Designing the ranking algorithm
When starting to design my algorithm, I naturally wanted to understand how other sites’ ranking algorithms worked, fortunately I found a couple of blog posts that provided great introductions for ranking algorithms used by both Reddit and HackerNews. I would also recommend reading this blog post that describes the design process around Reddit’s ‘best’ comment ranking algorithm. Continue reading “Designing and Implementing a Ranking Algorithm”
There is one thing that unites people who work on software: we like to create things that work. Nothing is more satisfying than finishing a feature or project that simply does what it was intended to do. When it comes to my side projects, I love learning new frameworks, technologies, and languages. But in the end, the most rewarding and satisfying part is finishing the project and releasing something to the wild. Let’s be honest, if you work full-time and worry about things like exercising, chores, and possibly sleeping – then you understand me when I say it is not always easy finding time to complete a side project. We can help ourselves by planning ahead and perhaps utilizing some fancy project management tools. But what about our technology stack? If our end goal is to finish and release our project, then it makes sense to pick a technology stack that is well-suited for rapid development.