Research on the Loss of Catering Service Merchants in Colleges and Universities

Huiping Han

Abstract


In recent years, the loss of catering service merchants in colleges and universities has become a major prob- lem restricting the development of catering. Therefore, it is an important task for catering managers to predict and ana- lyze the lost merchants and take measures to improve the retention rate of old merchants and reduce operating costs. Based on the flow data of catering in Beijing universities, this paper uses a machine learning classification algorithm to predict the loss of merchants in two categories, selects the best classification algorithm, and uses this algorithm as a starting point to enable the upgrading of the catering business, consolidate the three-pronged education function of logistics service, management, and scientific research, and ensure the comprehensive development of the school.

Keywords


University catering; Merchant loss; Data algorithm

Full Text:

PDF

References


Yu, L.P., Li, Y.F., 2018. World Bank Anomaly detection algorithm based on high-dimensional data flow. Computer Engineering. 44(1), 51-55.

Lu, W.W., 2022. Internet service platform merchant loss prediction [Master’s thesis]. Shanghai: East China Normal University.

Lee, E., Jang, Y., Yoon, D.M., et al., 2018. Game data mining com- petition on churn prediction and survival analysis using commer- cial game log data. IEEE Transactions on Games. 11(3), 215-226.




DOI: https://doi.org/10.12346/fhe.v4i4.8318

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Huiping Han

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.