Turn your Taxonomy into a Recommendation Engine: Lessons Learned from Rapid Development of Knowledge Recommenders using Semantic Models

Recommendation engines make the user experience more seamless and deliver personalized and relevant content to help users find what they were looking for and to discover valuable information that they did not even know existed. But, did you know that developing recommenders are also one of the best ways to enhance your organization’s semantic layer by developing your taxonomy into a knowledge graph while delivering tangible value and better services? Polly Alexander from HealthStream and Connor Vilenio from Enterprise Knowledge will share their experiences with a rapid approach to capitalize on the organization’s taxonomy and implement a recommendation system that suggests relevant courses to healthcare professionals to further their professional development.