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Make your next item recommendation model time sensitive

Makhneva, E; Sverkunova, A; Lashinin, O; Ananyeva, M; Kolesnikov, S

Makhneva, E (通讯作者),Natl Res Univ Higher Sch Econ, Moscow, Russia.

2023 ADJUNCT PROCEEDINGS OF THE 31ST ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, UMAP 2023, 2023; (): 191

Abstract

Recommender systems have become increasingly popular for providing personalized recommendations to users. Recent studies have shown that transformer-b......

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