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. 

To help users enrich their content, Liferay provides a new LXC service to serve videos to a wide audience out of the box. Content creators will be able to upload videos directly to Liferay and the new service will take care of generating different versions with several resolutions to adapt to user’s connection capabilities, together with automatic subtitles and AI powered auto-tagging based on the video content. Content creators will also be able to add manual subtitles to the videos in case the automatic ones don't fit the need.