Now users can select any image from the Liferay repository directly from the Web Content edition page, creating a better experience and allowing creating a structure of featured images if it’s necessary.

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. 

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.

Liferay AB Testing capabilities now helps customers save time by reassigning the traffic split based on the running test results. The dynamic traffic allocation ensures that the estimated winner variation gets more traffic, optimizing conversion in highly time-sensitive situations.