TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance

Understand

Combining semantic information with behavioral data is a crucial research area in recommender systems.

• A promising approach involves leveraging external knowledge to enrich behavioral-based recommender systems with abundant semantic information.
• However, this approach faces two primary challenges: denoising raw external knowledge and adapting semantic representations.
• To address these challenges, we propose an External Knowledge-Enhanced Recommendation method with LLM Assistance (TRAWL).