Handling consumer vulnerability in e-commerce product images using machine learning-Reference-Cited by-同舟云学术

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Handling consumer vulnerability in e-commerce product images using machine learning

Published:2022-09 Issue:9 Volume:8 Page:e10743
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Kaur Chatrath Sarvjeet^ORCID,Batra G.S.,Chaba Yogesh

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference23 articles.

1. Secure multi-attribute one-to-Many bilateral negotiation framework for e-Commerce;Al-Jaljouli;IEEE Transactions on Services Computing,2018

2. Semantic-emotion neural network for emotion recognition from text;Batbaatar;IEEE Access,2019

3. Using machine learning to predict the sentiment of online reviews: a new framework for comparative analysis;Budhi;Arch. Comput. Methods Eng.,2021

4. Consumers Say Visuals Are Most Important Factor in Online Shopping;Carufel,2017

5. On Reliability Improvement of Second-Hand Products”;Darghouth,2015

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stage by stage E- Ecommerce market database analysis by using machine learning models;EAI Endorsed Transactions on Internet of Things;2024-03-12

2. Driving E-commerce Success with Advanced Machine Learning: Customer Purchase Pattern Insights;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

3. Similarity Measures Implementation on Face Authentication using Indonesian Citizen ID Card;2023 17th International Conference on Telecommunication Systems, Services, and Applications (TSSA);2023-10-12

4. Sentiment analysis in multilingual context: Comparative analysis of machine learning and hybrid deep learning models;Heliyon;2023-09

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