AIBullisharXiv – CS AI · Mar 44/103
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Sensory-Aware Sequential Recommendation via Review-Distilled Representations
Researchers propose ASEGR, a novel AI framework that enhances product recommendation systems by extracting sensory attributes from user reviews using large language models. The system uses a two-stage pipeline where an LLM extracts structured sensory data which is then distilled into compact embeddings for sequential recommendation models.