This paper first constructs a human resource management framework and conducts an in-depth study of talent reserves and incentive mechanisms in the housing industry within this framework. Factor analysis and multiple linear regression models are used as the main research methods in this paper. In the empirical study, the system clustering method is used to cluster the incentive factors. After completing the factor analysis, regression analysis is further used to explore the relationship between the work enthusiasm of talents in the housing industry and the incentive factors. Finally, methods for maximizing the economic benefits of human resource management are proposed. In the factor analysis, the three common factors explain 59.886% of the total variance. Factor 1 explains fair recruitment, skill enhancement, and media promotion; Factor 2 explains project content, reasonable compensation, and online reviews; and Factor 3 explains company type. The work motivation of talent in the housing industry is significantly positively correlated with all seven original variables. Reasonable compensation has the greatest impact on the work motivation of talent in the housing industry.
