Housing source value parameter estimation method and apparatus

Abstract

The present application relates to the field of machine learning and neural networks for processing housing source data of a community, in particular to a housing source value parameter estimation method and apparatus, a computer device and a storage medium. The method comprises the following steps of: acquiring each cell index of a target cell; inputting it into the preset cell similarity model to obtain the cell evaluation index of the target cell; searching a similar cell corresponding to the target cell according to the cell evaluation index of the target cell in the preset cell set; obtaining the average value parameters of the housing source of the similar district, estimating the average value parameters of the housing source of the target district, obtaining the average value parameters of the housing source of the target district, obtaining the evaluation parameters of the target housing source, and obtaining the estimated value parameters of the target housing source throughthe preset semi-parametric quantile regression model. This application can estimate the value parameters of the target house without referring to the transaction data of the house of the same house type as the target house source and without requiring the valuation of the valuer, and the evaluation result is more objective and accurate.

Description

technical field [0001] The present application relates to the field of information processing, and in particular to a method and device for estimating the value parameters of residential property. Background technique [0002] With the development of the economy and the advancement of urbanization, people's living standards are constantly improving. In a city, a community refers to a residential area with a certain scale formed by residential buildings as the main body and equipped with commercial outlets, culture and education, entertainment, greening, public and public facilities, etc. The main body of a community is residential buildings. A community usually includes several residential buildings. Residential housing in a community is the focus of real estate investment now. [0003] Traditionally, the market sample valuation method is used for the valuation of community real estate: the appraiser selects a number of houses similar to the target house based on experience...

AI Technical Summary

Problems solved by technology

[0003] Traditionally, the market sample valuation method is used for the valuation of community real estate: the appraiser selects a number of houses similar to the target house based on experience, and then artificially judges the price of the target house based on the listing price or transaction price of similar houses. However, due to the limitations of this valuation method The effect is completely determined by the experience of the appraiser, but the data surveyed by the appraiser may not be specific enough, the factors considered may not be comprehensive enough, and there is no specific standard for judging whether two houses are similar houses, resulting in inaccurate judgments about similar houses. This leads to misjudgment of the target house price

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