nexREC – AI Graph-Based Recommendation Engine
An AI-powered recommendation engine using graph-based models to analyze user preferences and deliver personalized suggestions across content or products.
The Challenge
Static recommendation systems don’t leverage rich user interaction patterns or relationships between preferences.
Our Solution
A knowledge graph-backed model that captures complex relationships and improves recommendation relevance by analyzing preference data. :contentReference[oaicite:5]{index=5}
The Outcome
Higher-quality suggestions by leveraging graph structures that map user-item connections beyond simple collaborative filtering. :contentReference[oaicite:6]{index=6}
Our Approach
Knowledge graph construction from interactions
Graph analytics for user similarity
Hybrid filtering model
Technology Stack
Business Impact
Improves user experience through personalized recommendations, applicable to e-commerce and content platforms.
Discover how advanced graph models boost personalized discovery.
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