An intelligent software testing method for online advertising strategy
Zhiqiang Lu · 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA) · 2022
In recent years, with the continuous development of Internet technology, Internet products have penetrated into People's Daily life and become an indispensable part of people's life. With the continuous development and innovation of modern artificial intelligence, big data and Internet information technology, the profit model of the Internet is also constantly updated, entering the vision of most researchers. Among them, the income brought by Internet advertising [1] is particularly prominent. So how to quickly test a kind of online advertising strategy has become the main problem facing at present. As for Internet online advertising strategies, the main research direction of major Internet companies is to design different strategies for different groups of people and businesses, and each strategy needs to go through a series of testing procedures to ensure that there will be no serious problems before a certain strategy goes online. However, Whether a real online advertising strategy can meet the established target groups and target businesses, as well as how to really bring revenue to the company can only observe the corresponding results after the online advertising strategy.