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Dataset Regeneration for Sequential Recommendation
The sequential recommender (SR) system is a crucial component of modern recommender systems, as it aims to capture the evolving preferences of users.
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation
To this end, we propose a Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation (AREIL).
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