A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy similar image

A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy similar image

IntroductionRecommender systems are essential in e-commerce for assisting users in navigating large product catalogs, particularly in visually driven domains like fashion. Traditional keyword-based systems often struggle to capture subjective style preferences.MethodsThis study proposes a novel fash...

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Bibliographic Details
Main Authors: R. Sabitha, D. Sundar
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Big Data
Subjects:
recommendation model
collaborative filtering
K-Nearest Neighbor
Principal Component Analysis
convolution neural network
e-commerce
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2025.1557779/full
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https://www.frontiersin.org/articles/10.3389/fdata.2025.1557779/full

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