Graphs for Recommendation Engines: Looking Beyond Retail Social and Media
We’re all familiar with recommendations in a number of different areas of our lives. Recommendations for social media connections, e-commerce products, or streaming media content are ubiquitous. Perhaps less well known are applications for recommendations in different contexts, like education, HR, fraud, business process management, or offender rehabilitation. In this webinar, we will discuss some of these recommendations use cases in more detail, and look at how graph data can be used to model each domain and power a recommendations engine. We’ll also see an example use case demonstrated using Neo4j.