OMEGA adds collaborative memory to generative recommendation
_reachsumit · x · 2026-08-04
This paper proposes OMEGA, a collaborative memory augmentation framework for generative recommendation.
The method compresses user behavior into compact representations, stores them in a collaborative memory bank, and retrieves relevant memories with a target-aware mechanism. A gated cross-attention module then fuses the retrieved memories with local user context to improve generative recommendation quality on multiple datasets.
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