Research on Personalized Recommendation Algorithm for Housing Rental Based on Data Mining
Yingzhuo Xu, Yu Bai · 2023
As China's economy develops and people's living standards improve, the demand for housing is increasing day by day. Many people choose to rent a house as a temporary solution to their housing needs. In view of the large amount of data in the housing rental industry and the difficulty for users to obtain information, this paper proposes a personalized recommendation algorithm for house rental based on data mining. A user interest model is extracted based on the user's historical behaviour, and a grey correlation analysis is used to calculate the correlation between all housing data and the user interest model, and the housing information with a high correlation is recommended to the user. In this paper, the personalized recommendation algorithm will be studied to provide a method for personalized recommendation service for users' rental properties.