PRISM: Personalized Item Representations in User History
Sequential recommenders typically construct history inputs from item identifiers or content features using an embedding map shared across users. The same item therefore yields the same initial embedding representation, even when users have different relationships to the item. We propose personalized item representation...
Renzhi Wu, Zi-Kun Cui, Jun-Jie Yang et al.
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