A regional housing rent forecasting method based on big data

A forecasting method and big data technology, applied in forecasting, data processing applications, sales/lease transactions, etc., can solve problems such as information asymmetry, rental resource waste, and rent pricing problems that have not been well resolved, and reduce The effect of predicting time, reducing vacancy rate, and improving rental experience

Inactive Publication Date: 2019-02-26
智庭(北京)智能科技有限公司
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AI Technical Summary

Problems solved by technology

[0002] The determination of the house rent needs to be based on the decoration of the house, the location, the convenience of transportation, the surrounding living facilities and other factors to predict the house rent. In the traditional house rental field, due to the intermediary's grasp of the house information, the house owner and There is a serious information asymmetry in tenants' prediction of regional house rents, and the problem of rent pricing has not been well resolved, resulting in a great waste of rental resources

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  • A regional housing rent forecasting method based on big data
  • A regional housing rent forecasting method based on big data
  • A regional housing rent forecasting method based on big data

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Embodiment Construction

[0035] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0036] according to figure 1 As shown, a big data-based regional housing rent prediction method includes the following steps:

[0037] Q1. Clean the housing data, that is, process the missing values ​​in the housing data; correct the records that cannot correspond to the city and the province; remove the data with the rent value lower than 200 and the rent value higher than 5000; Remove the data of "Negotiable"; remove the data with the house area higher than 200; remove th...

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Abstract

The invention discloses a regional house rent prediction method based on big data, which adopts FFM algorithm to carry out data cleaning, feature extraction, data conversion, feature modeling on a large amount of house rent information, predicts rent rental and finds out abnormal rental data by using the constructed model. The invention not only realizes the prediction of the house rent by cleaning the data, extracting the features and modeling, but also can detect the abnormal house rent information well. The rent forecasting method based on the FFM algorithm provided by the invention can well cope with the situation of sparse house data, can automatically learn hidden relations between features, and is a very effective method for rent forecasting.

Description

technical field [0001] The invention relates to the fields of machine learning, big data, and data analysis, and in particular to a method for predicting regional house rent based on big data in house leasing. Background technique [0002] The determination of the house rent needs to be based on the decoration of the house, the location, the convenience of transportation, the surrounding living facilities and other factors to predict the house rent. In the traditional house rental field, due to the intermediary's grasp of the house information, the house owner and There is a serious information asymmetry in tenants' prediction of regional house rents, and the problem of rent pricing has not been well resolved, resulting in a great waste of rental resources. Contents of the invention [0003] The invention provides a big data-based regional house rent prediction method, which can effectively predict house rent. [0004] The present invention adopts following technical sche...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/02G06Q30/06G06Q50/16G06K9/62
CPCG06Q10/04G06Q30/0283G06Q30/0645G06Q50/16G06F18/25G06F18/214
Inventor 舒海东王进雷大江
Owner 智庭(北京)智能科技有限公司
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