clairec (Claire Chen)

liked 6 models about 1 month ago

reacted to singhsidhukuldeep's post with 👀 about 2 months ago

Post

2093

Exciting breakthrough in E-commerce Recommendation Systems!

Just read a fascinating paper from @eBay 's research team on "LLM-PKG" - a novel approach that combines Large Language Models with Product Knowledge Graphs for explainable recommendations.

Here's what makes it groundbreaking:

>> Technical Architecture
- The system uses a two-module approach: offline construction and online serving
- LLM generates initial product relationships and rationales, which are transformed into RDF triplets (Subject, Predicate, Object) to build the knowledge graph
- The system employs rigorous validation using LLM-based scoring (1-10 scale) to evaluate recommendation quality and prune low-quality nodes (score < 6)

>> Under the Hood
- Product mapping uses BERT embeddings and KNN indexing for semantic matching between LLM recommendations and actual inventory
- The system caches graph triplets in key-value databases for lightning-fast retrieval during online serving
- Supports both item-centric and user-centric recommendation scenarios

>> Real-World Impact
The A/B testing results are impressive:
- 5.19% increase in clicks
- 7.59% boost in transactions
- 8.56% growth in Gross Merchandise Bought
- 10.84% increase in ad revenue

This is a game-changer for e-commerce platforms looking to provide transparent, explainable recommendations while maintaining high performance at scale.