Bogus User Profile Detection on Matrimonial Sites Using Machine Learning Approach
Vaibhav Prakash Vasani, Tejas Khanolkar, Vignesh Sunder Raman, Debdatta Kundu, Tirth J. Shah · 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) · 2021
Marriage is an important part of human life but when it comes to India, it’s religious, as they knot for seven lifetimes as per says. Indians are more emotionally, religiously and socially attached to marriage. Quest for finding the bride and groom, is the part of each and every aspirant bride and groom throughout the world. Objective of development of a system to tackle the detecting bogus bride to be and groom to be from matrimonial platforms using machine learning approach. Labelled dataset is used for building the model based on Logistic Regression, Random Forest Classifier, XGB Classifier and Support vector machine classifier with good accuracy. This system will be helpful for keeping users intact to the platform rather than losing the users due to exploitation of bogus users. Random Forest Classifier based machine learning approach fits the data extremely well and detects the bogus or genuine profile with a high accuracy.