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.
Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.
Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.