Recommender System for Apparel Products Based on Image Recognition Using Convolutional Neural Networks

In e-commerce and fashion, personalized recommendations are used to enhance user experience and engagement. In this study, an apparel recognition and recommender system (ARRS) using convolutional neural networks (CNNs) was employed to analyze apparel images, extract features, and provide accurate re...

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Main Authors: Chin-Chih Chang, Chi-Hung Wei, Yen-Hsiang Wang, Chyuan-Huei Thomas Yang, Sean Hsiao
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/89/1/38
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author Chin-Chih Chang
Chi-Hung Wei
Yen-Hsiang Wang
Chyuan-Huei Thomas Yang
Sean Hsiao
author_facet Chin-Chih Chang
Chi-Hung Wei
Yen-Hsiang Wang
Chyuan-Huei Thomas Yang
Sean Hsiao
author_sort Chin-Chih Chang
collection DOAJ
description In e-commerce and fashion, personalized recommendations are used to enhance user experience and engagement. In this study, an apparel recognition and recommender system (ARRS) using convolutional neural networks (CNNs) was employed to analyze apparel images, extract features, and provide accurate recognition and recommendations. By learning patterns and features of clothes, the system enables robust recognition and personalized suggestions. The effectiveness of ARRS in recognizing apparel and generating relevant recommendations was validated. The system enhances user satisfaction and engagement on fashion e-commerce platforms.
format Article
id doaj-art-e90ea27a671f413f9e90a45765e1bc19
institution Kabale University
issn 2673-4591
language English
publishDate 2025-03-01
publisher MDPI AG
record_format Article
series Engineering Proceedings
spelling doaj-art-e90ea27a671f413f9e90a45765e1bc192025-08-20T03:24:39ZengMDPI AGEngineering Proceedings2673-45912025-03-018913810.3390/engproc2025089038Recommender System for Apparel Products Based on Image Recognition Using Convolutional Neural NetworksChin-Chih Chang0Chi-Hung Wei1Yen-Hsiang Wang2Chyuan-Huei Thomas Yang3Sean Hsiao4Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu 30012, TaiwanPh.D. Program in Engineering Science, Chung Hua University, Hsinchu 30012, TaiwanDepartment of Computer Science and Information Engineering, Chung Hua University, Hsinchu 30012, TaiwanSchool of Information Engineering, Shandong Vocational and Technical University of International Studies, Rizhao 276826, ChinaDepartment of Computer Science and Information Engineering, Ming Chuan University, Taoyuan 48710, TaiwanIn e-commerce and fashion, personalized recommendations are used to enhance user experience and engagement. In this study, an apparel recognition and recommender system (ARRS) using convolutional neural networks (CNNs) was employed to analyze apparel images, extract features, and provide accurate recognition and recommendations. By learning patterns and features of clothes, the system enables robust recognition and personalized suggestions. The effectiveness of ARRS in recognizing apparel and generating relevant recommendations was validated. The system enhances user satisfaction and engagement on fashion e-commerce platforms.https://www.mdpi.com/2673-4591/89/1/38convolutional neural networkimage recognitionrecommender system
spellingShingle Chin-Chih Chang
Chi-Hung Wei
Yen-Hsiang Wang
Chyuan-Huei Thomas Yang
Sean Hsiao
Recommender System for Apparel Products Based on Image Recognition Using Convolutional Neural Networks
Engineering Proceedings
convolutional neural network
image recognition
recommender system
title Recommender System for Apparel Products Based on Image Recognition Using Convolutional Neural Networks
title_full Recommender System for Apparel Products Based on Image Recognition Using Convolutional Neural Networks
title_fullStr Recommender System for Apparel Products Based on Image Recognition Using Convolutional Neural Networks
title_full_unstemmed Recommender System for Apparel Products Based on Image Recognition Using Convolutional Neural Networks
title_short Recommender System for Apparel Products Based on Image Recognition Using Convolutional Neural Networks
title_sort recommender system for apparel products based on image recognition using convolutional neural networks
topic convolutional neural network
image recognition
recommender system
url https://www.mdpi.com/2673-4591/89/1/38
work_keys_str_mv AT chinchihchang recommendersystemforapparelproductsbasedonimagerecognitionusingconvolutionalneuralnetworks
AT chihungwei recommendersystemforapparelproductsbasedonimagerecognitionusingconvolutionalneuralnetworks
AT yenhsiangwang recommendersystemforapparelproductsbasedonimagerecognitionusingconvolutionalneuralnetworks
AT chyuanhueithomasyang recommendersystemforapparelproductsbasedonimagerecognitionusingconvolutionalneuralnetworks
AT seanhsiao recommendersystemforapparelproductsbasedonimagerecognitionusingconvolutionalneuralnetworks