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2021 | OriginalPaper | Chapter

Identification of Online Auction Bidding Robots Using Machine Learning

Authors : Pooja Maan, R. Eswari

Published in: Evolutionary Computing and Mobile Sustainable Networks

Publisher: Springer Singapore

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Abstract

The aim of this project is to identify the bidding robots using machine learning, which bids in an online auction. Bidding robot is basically an application which helps to place a bid or click automatically on a website. So, this project will help the site owners to prevent unfair auction by easily flag the robots and remove them from their sites. The major steps are feature extraction, feature selection, model implementation, and classification. Feature engineering is done which includes feature extraction, dropping unnecessary features, and selecting necessary features. Various machine learning classification models are applied with new features to classify human and robot online auction bids and the best performance achieved is ROC score 0.954 using Random Forest.

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Metadata
Title
Identification of Online Auction Bidding Robots Using Machine Learning
Authors
Pooja Maan
R. Eswari
Copyright Year
2021
Publisher
Springer Singapore
Book
Evolutionary Computing and Mobile Sustainable Networks

Print ISBN: 978-981-15-5257-1

Electronic ISBN: 978-981-15-5258-8

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-5258-8_25