%0 Journal Article
%T 融合心理行为的家政服务员专业性分类研究<br>Study on the Professional Classification of Domestic Staff Integrating Psychological Behavior
%A 冯永杰
%A 刘峰涛
%J Service Science and Management
%P 13-21
%@ 2324-7916
%D 2023
%I Hans Publishing
%R 10.12677/SSEM.2023.121002
%X 本文为进行家政服务员专业性分类研究，设计了心理行为量表进行问卷调查，并基于Y企业家政服务员的丰富的数据资源，进行了心理因素与行为属性的相关性分析，确定了影响家政服务员专业性的心理行为属性，进而提出了家政服务员专业性分类模型，并采用过采样方法平衡训练数据集进行分类模型训练，针对测试集进行家政服务员专业性分类预测。研究结果表明，心理因素与行为属性显著相关，确立了影响家政服务员专业性的若干心理行为属性，基于心理行为属性平衡训练数据集建立的分类算法对测试集中家政服务员专业性分类准确率达到79.8%。<br />
In order to study the professional classification of domestic staff, this paper designs a psychological behavior scale to conduct a questionnaire survey. Based on the abundant data resources of domes-tic staff in Y Enterprise, this paper analyzes the correlation between psychological factors and behavioral attributes, determines the psychological behavior attributes that affect the professional-ism of domestic staff, and then proposes a professional classification model for domestic staff. The over-sampling method is used to balance the training data set for classification model training, and the professional classification prediction of domestic staff is carried out according to the test set. The results show that there is a significant correlation between psychological factors and behavioral attributes, and a number of psychological behavioral attributes affecting the professionalism of domestic staff are established. The classification algorithm based on the balance training data set of psychological behavioral attributes can achieve 79.8% accuracy in the professional classification of domestic staff in the test set.
%K 家政服务，XGBoost算法，心理行为属性，大数据分类
%K Domestic Service
%K XGBoost Algorithm
%K Psychological Behavior Attributes
%K Big Data Classification
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=60312