This is the CodeArt blog. This is where we share everything from tips & tricks to thoughtleadership articles or interesting code samples.
If you are looking for older blog posts published by Allan Thraen (Like those from labs.episerver.com or Allantech.com) you might be able to find them in our Archive.
Preview multiple Visitor Groups directly while browsing your Optimizely site
Visitor groups are great - it's an easy way to add personalization towards market segments to your site. But it does come with it's own set of challenges if used intensively. For example it can be hard to predict how any given page will look for visitors with a specific combination of visitor groups - and viewing it in a proper way often requires more than what you see in the quick preview mode. Here's a bit of code that will help you out.
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.
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!