ULIM clusters a user's long behavior history into category subsequences and uses a pointer-generator network to predict categories, then retrieves items within those categories in parallel.
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User Long-Term Multi-Interest Retrieval Model for Recommendation
ULIM clusters a user's long behavior history into category subsequences and uses a pointer-generator network to predict categories, then retrieves items within those categories in parallel.