Automatically generate individually tailored content recommendations.
Repurpose and reuse relevant content as you generate new offerings.
Cross sell new course recommendations to students on a continuous basis.
Enrich your knowledge assets and deliver content to readers across scientific disciplines. There is no need to change how you work.
Integration with your publishing workflows allows authors and editors to validate enriched content assets and intelligent recommendations. The system “self learns” as more content is provided . To meet the changing needs of readers, content enrichment works with our robust Personalization Engine to deliver relevant content to readers.
Analyze Student or Trainee Needs and Achievements
All course content is analyzed and semantically enriched. This allows the content to be easily searched.
The enriched content is delivered to the Personalization Engine. The Personalization Engine processes the content and matches it to the user profiles. Instructors validate the recommendations and in so doing, train the Personalization Engine. It’s adaptive!
Recommend User-Tailored Resources
Students consume personalized content. Their behavior is used to update user profile and recommendations.