behavior modeling 1closed-loop memory 1experience log 1generative recommendation 1multi-view extraction 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.IR2026
LoopMemGR: From Behavior Logs to Evolving Memory for Generative Recommendation
Hui Qian, Changfa Wu, Chang Liu +5
The paper introduces LoopMemGR, a framework that adds a closed-loop experience memory to generative recommendation systems, allowing them to reuse past recommendation–feedback traj…
cs.IR2026
SPARC: Sequence-aware Progressive Attribute Routing and Compression Framework for Generative Recommendation
Chang Liu, Changfa Wu, Hui Qian +5
Generative recommendation tokenizes items as discrete Semantic IDs (SIDs) and autoregressively generates target items from users' historical SID sequences. Although existing SIDs i…