Estimation of the Client's Solvency Based on their Profile Analysis in Social Networks

Student: Voropaev Pavel

Supervisor: Rostislav Yavorskiy

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2018

Social networks have new users sign up every day, and, over the last few years, have become the biggest platform for advertisement with billions of users worldwide. Due to significant number of users, companies make their advertising campaigns in social networks. Advertising companies need to be able to filter users by a set of given parameters. In my point of view, a user’s solvency is a very useful parameter to distinguish for successful marketing toward a particular subset of social network users. In the presented study, I am going to try different approaches to create a tool that can accurately predict a user’s solvency by the picture of his or her Instagram profile. To the best of my knowledge, this is the first tool aimed at predicting a user’s solvency based solely on his or her Instagram profile picture.

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