SAGA: Structure-Attended Generative Action Embedding Model that encodes Multi-Surface User Action Sequences
This work presents SAGA, a generative action embedding model that encodes multi-surface user interaction sequences across a Financial Service organization's ecosystems, from checkout, peer-to-peer (P2P) transactions, in-app engagement, email to account actions, into a unified user representation for downstream recommen...
Tsz-Fung Pang, Po‐Jui Chen, Nimish Ronghe et al.
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