A framework integrates MM-LLMs into recommendation systems via caption generation as categorical features, reporting 0.35% offline AUC lift and 0.02% online metric improvement.
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A General Framework for Multimodal LLM-Based Multimedia Understanding in Large-Scale Recommendation Systems
A framework integrates MM-LLMs into recommendation systems via caption generation as categorical features, reporting 0.35% offline AUC lift and 0.02% online metric improvement.
- BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models