Precise Marketing of E-Commerce Products Based on KNN Algorithm.
Journal
Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357
Informations de publication
Date de publication:
2022
2022
Historique:
received:
19
04
2022
revised:
18
06
2022
accepted:
29
06
2022
entrez:
22
8
2022
pubmed:
23
8
2022
medline:
24
8
2022
Statut:
epublish
Résumé
In order to better understand the purchase decision-making process of consumers, this paper makes an in-depth study on the precision marketing of e-commerce products on the basis of KNN algorithm. Through data mining, classic KNN algorithm, BPNN algorithm, and other methods, this paper takes the price and purchase intention of e-commerce agricultural products as an example. Based on the classic nearest neighbor algorithm, binomial function is combined with Euclidean distance formula when calculating the nearest neighbor through similarity. The particle swarm optimization algorithm is used to optimize the binomial function coefficient and the
Identifiants
pubmed: 35990135
doi: 10.1155/2022/4966439
pmc: PMC9388237
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
4966439Informations de copyright
Copyright © 2022 Jianfeng Zou and Hui Li.
Déclaration de conflit d'intérêts
The authors declare no potential conflicts of interest.
Références
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