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Solving Data Challenges with Knowledge Graphs and Context-Aware Recommendation Systems
Recommendation systems have advanced in recent years, but organizations still grapple with heterogeneous, sparse or insufficient data, as well as problems such as repeated patterns (echo chamber effect). These issues can cause bottlenecks for generating highly-personalized recommendations. Join Katie Roberts, Ph.D. as she covers how knowledge graphs can help address these issues. You will learn the importance of:
- Building a knowledge graph using labeled property graph technology
- Capturing the evolution of user interactions with the business
- Using knowledge graphs and graph data science to build context-aware recommendation systems