01Personalized recommendations
Suggestions for each user based on their interests and history.
Recommendation engine
Recommendation SystemsRecommendation Engine
Personalized recommendations that show each user the content or service that suits them best
Personalized recommendationsUsage behavior analysisWorks with your platformsImpact measurement
About the product
Recommendation Systems
AI-based recommendation systems that analyze how users interact with your platform and suggest what fits each of them: a book or paper in a digital library, a course on a training platform, or a service on an e-portal. The result is faster access to content, higher platform usage, and decisions based on real usage data.
Features and modules
What do recommendation systems offer?
Personalized recommendations that show each user the content or service that suits them best
02Similar content
A “you may also like” section on content and service pages.
03Works with your platforms
Integrates with digital libraries, training platforms and portals, including Maeen Knowledge and EXAB Skills.
04Privacy by design
Runs on usage data inside your environment, under your policies.
05Impact measurement
Reports on how recommendations affect usage and access to content.
Learn more
Recommendation Systems up close
WebsiteProduct website linkComing soon
Interactive bookletThe product page in the EXAB company profileOpenOur clients
Entities that adopted our solutions in this pillar
University of Hail
Higher educationAcademic business intelligence solutions
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Explore solutionsSee Recommendation Systems in action
Book a demo with our team, and we'll show you how the product adapts to your organization's needs.
- Phone
- +966 54 203 2454
- info@exab.sa
- Working hours
- Sunday to Thursday, 9:00 AM – 6:00 PM