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arXiv AI By He Ma, Lan You, Qiyang Wu, Chen Liu

LightCRS: Lightweight Multi-Domain Conversational Recommendation System

Read the original on arXiv AI →

LightCRS is a lightweight, query‑conditioned framework that enables unified multi‑domain multimodal conversational recommendation by precomputing multimodal product representations with frozen encoders and fusing them online via a compact 5.3M‑parameter module using cross‑attention. The system shares parameters across all domains and employs an inter‑candidate Transformer to compare candidates jointly. On the newly constructed MM‑R2A‑25 benchmark, LightCRS achieves state‑of‑the‑art performance, improving HR@1 by 35.4% over the strongest baseline and reducing per‑query latency by 266×, while joint multi‑domain training alone boosts HR@1 by 15.2% compared to single‑domain models.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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