all AI news
Within-basket Recommendation via Neural Pattern Associator. (arXiv:2401.16433v1 [cs.IR])
cs.LG updates on arXiv.org arxiv.org
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.
While the latest innovations in this space demonstrate remarkable performance
improvement on benchmark datasets, they often overlook the complexity of user
behaviors in practice, such as 1) co-existence of multiple shopping intentions,
2) multi-granularity of such intentions, and 3) interleaving behavior
(switching intentions) in a shopping session. This paper presents Neural
Pattern Associator (NPA), a deep item-association-mining …
arxiv benchmark complexity cs.ir datasets improvement innovations performance practice recommendation session shopping space via