Academic libraries increasingly act as an ecosystem for learning and research resources. Therefore, they need a platform that can serve as an ecosystem to guide academic users.

Target: Incorporate into Primo VE a recommendation system that, based on users' searches, gives recommendations at the resource level (e.g., article, book, book chapter, case study, image, thesis, etc.).

Output: After the user searches, Primo VE provides a list of prioritized learning or research resources, sorted by their thematic relevance or visualisation-based popularity.

Parameters: The recommendation system should match the query with the users' profile (e.g., career, under|postgraduate level, etc.) after they log into the system.