Dette er CodeArts blog. Vi deler thought-leadership og tekniske tips og tricks - men som regel på engelsk.
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.
Named Entity Recognition Demo
When working with a content heavy site, it can be very practical to use AI for identifying named entities in the text. Last summer I made a prototype service using Named Entity Recognition in danish, english and swedish to tag content - but not until now did I find time to describe it in a blog post.
Adhering to Consent with Cookie Information for Episerver
In the EU the past year has added even more rules and regulations to which cookies can be set, which data can be collected and which consents are needed for it. While it may not be tricky to add a basic consent box, adding one that adhere to all the proper legislation and then follow the consents given can be a bit more challenging. In this post I take a deep dive into how Cookie Information's solution together with their Connector for Episerver can make it easier - and faster to accomplish.
Linking to a specific text fragment on another page in Episerver
Chrome 80 introduced a new cool feature that you may or may not have noticed in your google search results. You can now link directly to a text fragment on a page, and Chrome (along with a few other browsers) will then scroll to it and highlight it. Perfect for ultra deep linking and search results. I took the standard Alloy site and put it to the test.
Thoughts on the Episerver/Optimizely Acquisition
When one of the market leaders in digital experience / content management / e-commerce acquires the market leader in Optimization and Experimentation - great things can be expected. But how will it differ from the optimization techniques used by Episerver customers today? Here are my thoughts.
Profile Manager v2 - KQL edition
We just launched a new version of the online tool Profile Manager - a tool that makes it easier for developers and content analysts to work with Episervers Profile Store. The new version lets you easily try out different KQL queries and build Filter Definitions with them.
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.
Exploring the Episerver Nuget Feed
The best thing about Episerver is the community and all the great contributions coming from it. Many of them make it into packages on the Episerver nuget feed - along side Episervers own packages. I have for a long time worked on building tools to explore and visualize this more - and now I'm finally ready to one-by-one share some of the tools coming out of it.
Getting more Insight (pun intended) into Episerver Profile Store
Profile Store, Insight, Tracker, Advance - Episerver offers a myriad of different (but connected) REST services for managing and tracking your visitors and prospects. It can be slightly confusing at first - and some of the documentation might be a tad misleading - but once you get the hang of it, they are really powerful tools. I've recently had a chance to explore them in depth. Here is what I've learned so far.