Serendipity
System and Method for Probabilistic Life-Path Intersection Graph Generation, Interest-Weighted Edge Scoring, and Latent Relationship Discovery Based on Historical Temporal-Geospatial Data
- Filed
- March 13, 2026
- Type
- U.S. Provisional Patent Application
- Inventor(s)
- Garrett Blood · Carlos Barbosa
- Classification (CPC)
- H04W 4/029 · G06F 16/9535 · G06Q 50/01
- Claims
- 16 total · 7 algorithms
A computer-implemented graph intelligence system that detects probabilistic historical co-presence between users by ingesting heterogeneous temporal-geospatial datasets, normalising raw location records into canonical graph nodes, and computing intersection-based relationship edges weighted by multi-dimensional interest alignment.
- Life-path intersection detection across time, frequency, and location
- Interest-weighted proximity scoring for ranked connection relevance
- Privacy-preserving location abstraction with intersection fidelity
- Multi-source social graph import with deduplication
- Real-time connection triggering and serendipitous feed ranking
- AI narrative generation grounded in graph data
