Dette er CodeArts blog. Vi deler thought-leadership og tekniske tips og tricks - men som regel på engelsk.
Experimenting with Wikipedia topics for Content
Automatically tagging your content with topics from a known, well described topic base like Wikipedia can have many cool uses. You can organize your content, suggesting keywords and outbound links, not to mention that you can build up interest profiles of your visitors. These interest profiles can the be used to suggest appropriate content and keep your visitors engaged. Inspired by Episerver Content Intelligence and a couple of earlier projects I've done in the past, I decided to perform an experiment to see how far I could get with a DIY approach as opposed to the traditional cloud-based NLP/AI.
Powerslice: Identify unused blocks
Powerslice might have a few years on it's back, but it's still a great editorial tool, when you are working with large amounts of content and have access to Episerver Find. Here's an example of a recent slice I made that let's editors easily identify unused blocks.
Getting started with Contentful UI Extensions - Part 3
The Curious Case of Content Modelling
Having the right content model (the structure of your content types) is very important in order to end up with good, usable (and reusable) content. I believe that is something that most content management aficionados can agree on. But what is a good content model? And who should be modelling your content? In this blog post I will try to discuss a few opinions on this topic.
Distributed Content: Delivering an Episerver Web Experience with Contentful Content
The move in the market towards headless could also be seen as a tendency towards a deeper decoupling between content and experience delivery. Inspired by a few discussions, I've tried my hands on an uncommon combination: Contentful providing content delivered through an Episerver web experience layer.
Auto Tagging Using Search
You don't always have to go the full AI route to get AI like results. In this blog post I'll describe an approach I've used several times (and for multiple purposes) with pretty decent results. Instead of classification algorithms, deep learning or neural networks I'll just simply query my favorite search engine.
Storage Performance Aftermath - ElasticSearch Joins the Fight
In 3 previous blog posts I compared various azure storage technologies with regards to performance and scalability in typical web usage scenarios. I was actually done with the series, but with all that interesting data, I decided to throw my current favorite search/storage/no-sql technology into the mix to get an idea about how it all compares. So - ElasticSearch enters the competition!