latent state refinement 1recommendation systems 1recursive inference 1sequential recommendation 1user modeling 1
From the 1 of 7 linked papers with an AI index.
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cs.IR2026
ATLAS: Learning to Recommend Across Unseen Domains
Pervez Shaik, Prosenjit Biswas, Abhinav Thorat +2
Recommender systems remain domain-bound: a model trained on one interaction environment typically requires retraining or target-domain adaptation before it can operate on a new cat…
cs.IR2026
RecRec: Recursive Refinement for Sequential Recommendation
Pervez Shaik, Prosenjit Biswas, Abhinav Thorat +2
The paper introduces RecRec, a lightweight sequential recommendation model that iteratively refines a compact latent user state using a shared recursive module with an evidence-anc…