How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]

Real-time recommendations are most effective when they consider both user needs and business strategies. This approach is being adopted by various industries beyond retail, travel, and entertainment, including government services, financial services, healthcare, and job recruiting. Graph technology, specifically the Neo4j Graph Platform, enables a hybrid recommender framework that leverages multiple techniques like collaborative filtering, content filtering, business rules, and knowledge-based filtering to provide accurate recommendations. This approach allows users to connect all their data and use multiple methods to gain control over the recommendation process.