A "Photographing and Making Money" Pricing Model Based on Game Theory

In recent years, the Internet has shown a booming situation. According to the survey, many emerging products have flooded into the market on a large scale. One of the self-service apps that make money by taking pictures has quietly emerged in many big cities. Firstly, taking Shenzhen City, Guangdong Province, China as the research object, the price of photographing and making money in different areas of Guangzhou was collected and analyzed. The relationship between location and price was obtained by multivariate linear fitting, and the latitude and longitude of the failed task after clustering was substituted. The three main reasons for the failure of the task in the software are: low pricing or remote location; members and tasks are far away, members have low credibility, and scheduled tasks start too late; the population of the region The flow rate is low and the market potential is insufficient. Secondly, in order to reduce the probability of task failure, a non-cooperative game model is established to improve the pricing law, which increases the task success rate by 11.3% compared with the original, indicating that the model can effectively improve the task success rate. Finally, in order to avoid the concentration of tasks, users are competing for choice, and also improve the efficiency of task completion. Consider combining these tasks together and publishing them. Therefore, the optimized “crowdsourcing” model is established again, and the implementation of the scheme is evaluated by data fitting. Effect. The result suggests that this model not only effectively ensures the authenticity of the survey's data, but also shortens the survey's period, which is conducive to increasing the respective interests between enterprises and users and promoting economic development.