Personnel recruitment operation which involves selecting the right person for the right job is an essential human resource operation of an organization due to the fact that organizations’ performance depends on its personnel performance. However, personnel selection for recruitment operation of human resource management has various operational behaviors, and when carrying out the operation the operational behaviors should be considered. Due to this consideration, carrying out personnel selection for recruitment operation is complex. To minimize the complexity, various research works developed personnel selection expert systems to carry out personnel selection for recruitment operation considering some of its operational behaviors. However, the behavioral change of personnel selection operation was not considered during the development of their respective proposed expert systems. This study identified an adaptive personnel selection model developed in a research work and the behavioral change feature of personnel selection for recruitment operation was considered. The adaptive personnel selection model was developed using a C4.5 decision tree and frequent and non-frequent patter analysis of data mining. However, the adaptive feature of the adaptive personnel selection model was improved and then implemented as this study proposed adaptive personnel selection expert system.