WIP
Research
encRec
Trie-routed recommendation under encrypted features for privacy-preserving ML
// DESCRIPTION
Research on recommendation systems that can operate on encrypted user features using Trie-based routing.
Problem
How to make recommendations without exposing raw user data?
Approach
- Statistical Trie: Organize encrypted features hierarchically
- LLM-assisted Routing: Guide queries through Trie structure
- Privacy Guarantees: Features remain encrypted throughout
Datasets
- Criteo (click prediction)
- Amazon (product recommendation)
- Avazu (ad CTR prediction)
// HIGHLIGHTS
- Privacy-preserving recommendation
- Novel Trie-based approach
- Multi-dataset evaluation