arXiv Machine Learning August 18, 2026 By Tsz Fung Pang, Po Jen Chen, Nimish Ronghe, Farhad Farahani, Bo Zhang

SAGA: Structure-Attended Generative Action Embedding Model that encodes Multi-Surface User Action Sequences

Read the original on arXiv Machine Learning →

arXiv:2608. 15429v1 Announce Type: new Abstract: Prior embedding models for sequential recommendation typically operate within a homogeneous action space, limiting their ability to capture cross-surface behavioral signals spanning distinct behavioral domains.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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