Discover Recommended Content in Explore

As well as the ability to manually search for content, Explore’s machine learning tools will provide contextual discovery within the platform, delivering more meaningful content while saving you time and effort. For example, the more you interact with your subscription content – the more titles read, the more searches made – Explore builds a profile of your reading preferences and makes suggestions of titles from your available collections to read next. These personalized recommendations make it easy to find and use these valuable resources.

Recommended content is arranged across different lanes – the same titles could appear in multiple lanes, so you can easily and quickly see suggestions for titles most relevant to your interests:

  • Must-read: Personalized to every user, this is the single title that best aligns with your learning, reading, and searching patterns.
  • See what’s trending: the three resources from your subscription(s) that are most popular across the entire VitalSource catalog.
  • Top Picks: shows all titles within your available subscription(s), minus the ‘Must-read’ title, ranked by relevancy according to your activity in the platform.
  • Trending: shows all titles within your available subscription(s), minus the three ‘See what’s trending’ titles, ranked by popularity across the entire VitalSource catalog.
  • Recently Added: subscription content ordered by when it was added or acquired.
  • Subject lanes: where the publisher has included taxonomy or other subject classification data as part of a title’s records, Explore will show several subject lanes – scoped by discipline, ordered by what’s trending, and personalized to your activity.


Click on any lane names (in blue) to filter the view of titles to solely those allocated to that lane.


Published Date:

Was this article helpful?
Have Questions?