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Within-basket Recommendation via Neural Pattern Associator
Within-basket recommendation (WBR) refers to the task of recommending items to the end of completing a non-empty shopping basket during a shopping session.
Unintended Bias in Language Model-driven Conversational Recommendation
Conversational Recommendation Systems (CRSs) have recently started to leverage pretrained language models (LM) such as BERT for their ability to semantically interpret a wide range of preference statement variations.
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