Year of Graduation
Prediction Models for Partners Checking in Resource Sharing Networks
Applied Mathematics and Information Science
Nowadays, a continuous uberisation goes on along the world, and it causes one important issue: safety. The system proposed in this paper is an advanced solution for verifying partners trustworthiness — customers, companies, Internet users to name but a few. This type of system can be considered as an additional service rather than a standalone app. To provide the helpful recommendation about partner’s reliability, we propose a method of collecting partner’s data from the Internet. We characterize requests based on the area of subject, and look for the different types of information. We classify partners by creating exclusive profiles, explaining what data and recommendation model should be used. Following that, we provide a recommendation system, which summarizes the data and outputs the final decision. In this paper, we discuss types of partners and checking requests, methods of building a recommendation system, and general structure of the system.