Review
Aug 2026
Profiling What Matters: Context-Aware Item Profiles from Large-Scale Metadata for LLM Recommenders
CAIRO, a user context-aware item profiling framework for LLM-based reranking, first structures raw metadata and reviews into objective features and subjective traits, and employs a lightweight profiler to select the most relevant information for each user-item pair with limited serving-time overhead.
Dojun Hwang, Seunghan Lee, Cheonyoung Park et al.
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