M

Recommender systems encoder-decoder architecture mixed models next-basket recommendation

Journal

IEEE transactions on knowledge and data engineering
ISSN: 1041-4347
Titre abrégé: IEEE Trans Knowl Data Eng
Pays: United States
ID NLM: 9887654

Informations de publication

Date de publication:
Apr 2023
Historique:
medline: 24 4 2023
pubmed: 24 4 2023
entrez: 24 04 2023
Statut: ppublish

Résumé

Next-basket recommendation considers the problem of recommending a set of items into the next basket that users will purchase as a whole. In this paper, we develop a novel mixed model with preferences, popularities and transitions (M

Identifiants

DOI: 10.1109/tkde.2022.3142773 PMID: 37092026 PMC: PMC10117693
pubmed: 37092026
doi: 10.1109/tkde.2022.3142773
pmc: PMC10117693
mid: NIHMS1880751
doi:

Types de publication

Journal Article

Langues

eng

Pagination

4033-4046

Subventions

Organisme : NLM NIH HHS
ID : R01 LM012605
Pays : United States
Organisme : NLM NIH HHS
ID : R21 LM013678
Pays : United States

Références

IEEE Trans Knowl Data Eng. 2022 Oct;34(10):4838-4853
pubmed: 36970033

Auteurs

Bo Peng (B)

Department of Computer Science and Engineering, The Ohio State University, Columbus, OH 43210 USA.

Zhiyun Ren (Z)

Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210 USA.

Srinivasan Parthasarathy (S)

Department of Biomedical Informatics, Department of Computer Science and Engineering, and Translational Data Analytics Institute, The Ohio State University, Columbus, OH43210 USA.

Xia Ning (X)

Department of Biomedical Informatics, Department of Computer Science and Engineering, and Translational Data Analytics Institute, The Ohio State University, Columbus, OH43210 USA.
ORCID: 0000-0002-6842-1165

Classifications MeSH