We have enhanced our recommendation engine to provide two new recommendation algorithms: one focused on recommending content based on the user's browsing history on the website, and the other one providing recommendations based on most popular content. These recommendation strategies can be used by adding the matching content collections to any page. Experimentation and attribution is also possible by comparing them through an AB test that determines the best strategy to increase CRO.
Release Notes
To help content creators raise the quality of their content, now they have integrated in our rich-text editors a spell checker that will help them solve spelling and grammar errors. It supports multiple languages, including: Spanish, English, French, and German.
The Analytics mobile app allows users to access the main reports and dashboards on-the-go to stay on top of the most relevant metrics for the business.
A new application, named Data Set Manager (Data Sets in the Control Panel) allows admins to define through a UI data set views for the different headless resources available. Admins will be able to choose the data source, as well as configure the columns to be available and the pagination options for the different views.
To enable this feature:
- Add feature.flag.LPS-167253=true to your
portal-ext.properties
- Go to Instance settings > Feature Flags and enable “Data set manager” in the Beta tab.
In addition to the data set manager, two additional components have been added to provide the full value to the users:
- A new fragment, so these views can be integrated in any content page. Content managers will select the data set view to display on each fragment.
- A new frontend client extension, Frontend Data Set Cell Renderer, that allows developers to customize how any field of the data set view is rendered, providing total control of the look and feel of any column.