Utilizing the LightGBM Algorithm for Operator User Credit Assessment Research

arXiv:2403.14483v1 Announce Type: new
Abstract: Mobile Internet user credit assessment is an important way for communication operators to establish decisions and formulate measures, and it is also a guarantee for operators to obtain expected benefits. However, credit evaluation methods have long been monopolized by financial industries such as banks and credit. As supporters and providers of platform network technology and network resources, communication operators are also builders and maintainers of communication networks. Internet data improves the user's credit evaluation strategy. …

abstract algorithm arxiv assessment banks benefits communication credit cs.ai cs.lg decisions evaluation financial however industries internet lightgbm mobile operators q-fin.st research type