KGC 2023: Semantic Recommendation Engines Case Studies
Please enjoy this talk “Semantic Recommendation Engines Case Studies: Bringing Enterprise Information Discovery to the 21st Century,” from the Knowledge Graph Conference 2023 given by Sara Duane and Sara Nash, Senior and Principal Consultants, respectively, at Enterprise Knowledge LLC.
Talk description:
Content personalization and recommendation engines are pervasive in today’s society. They power some of our most used platforms – including Amazon, Spotify, Netflix, and more.
However, many organizations struggle to provide their employees and customers with the same ease of content and information discovery. They are turning to semantic recommendation engines to solve these business challenges.
How do you get started in designing and implementing an enterprise content recommendation engine to connect people with relevant content at the time of need? How do you define a knowledge graph that will effectively connect people to the right experts? Do you take a deterministic or statistical approach with your semantic data foundation?
Nash and Duane have led numerous recommendation engine implementations, including with organizations in the healthcare, financial services, and government sectors. During this presentation, they will share case studies, lessons learned, and success stories of enterprise semantic recommender systems, a clear approach for establishing a recommender system, and best practices to drive a successful implementation.
Technical topics covered:
- Semantic Tech
- Recommender Systems
- Knowledge Representation
- Enterprise Architecture
- Information Architecture
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