Real Estate Query Algorithm Based on User Preference

Abstract

In recent years, as the quality of life has improved, people’s demand for housing has become more refined, and many Internet housing query platforms and query algorithms have emerged. This paper proposes a real estate query algorithm based on user preferences. In order to reduce the cost of time and space in the query process, an index structure that adds a distance factor and a subtree of house hierarchical clustering is proposed—HCIR-Tree (Hierarchical Clustering Information R-Tree) index tree. In order to improve the query efficiency of the houses to which the real estate belongs, a real estate hierarchical clustering subtree is established at the leaf node where the real estate is located. Through a large number of experiments, the query performance of the algorithm proposed in this paper is verified.