Second-hand house evaluation system based on machine learning

A machine learning and evaluation system technology, applied in the field of evaluation systems, can solve problems affecting the balance of real estate evaluation and low evaluation efficiency, and achieve the effects of improving data retrieval efficiency, reducing labor, and improving stability and adaptability

Pending Publication Date: 2020-10-09
长春初唐网络科技有限公司
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AI Technical Summary

Problems solved by technology

[0003] Most of the existing evaluation systems are online valuations performed manually after the real estate information is uploaded. The low efficiency of this kind of system evaluation makes it difficult to cope with today's huge second-hand housing market. At the same time, manual valu

Method used

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  • Second-hand house evaluation system based on machine learning
  • Second-hand house evaluation system based on machine learning
  • Second-hand house evaluation system based on machine learning

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Embodiment Construction

[0030] The technical solutions in the embodiments of the invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the invention. Obviously, the described embodiments are only part of the embodiments of the invention, not all of them. Based on the embodiments of the invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the invention.

[0031] see figure 1 Shown: A second-hand house evaluation and evaluation system based on machine learning includes a user terminal, an input module, a collection module, a database, a calculation evaluation module and a manual evaluation module. The user end contains at least one group, and the input module inputs and sends real estate information For the collection module, the collection module sorts out the real estate information by capturing the keywords of the real estate informatio...

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Abstract

The invention discloses a second-hand house evaluation system based on machine learning. The system comprises at least one group of user side, an input module, a collection module, a database, a calculation and evaluation module and an artificial evaluation module, and the input module inputs real estate information and sends the real estate information to the collection module. The collection module captures keywords of the real estate information, the real estate information is classified and sent to the database, the database is stored in the cloud server, the calculation and evaluation module compares the input real estate information for mechanical evaluation, and the artificial evaluation module adjusts the mechanical evaluation and verifies the authenticity of the input real estateinformation at the same time. Mechanical evaluation of the second-hand house is realized by combining data capture classification and a mechanical algorithm, and artificial evaluation is added to ensure accurate and reasonable price and real and reliable real estate.

Description

technical field [0001] The invention relates to the technical field of evaluation systems, specifically a second-hand housing evaluation system based on machine learning. Background technique [0002] In recent years, with the rapid development of the national economy and the continuous improvement of the living standards of urban residents, people's demand for improving housing conditions has become increasingly strong, and second-hand housing transactions have also maintained rapid development. As the number of stock houses entering the market continues to increase, the evaluation of second-hand housing prices has also attracted more and more attention. Due to its own limitations, the traditional single-case evaluation cannot meet the requirements of fast, accurate and standardized evaluation of a large number of real estate in a short period of time. Therefore, learn from the experience of developed countries and establish an evaluation system. [0003] Most of the exis...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q50/16G06N20/00
CPCG06Q30/0283G06Q50/16G06N20/00
Inventor 王涛张玥曹宇
Owner 长春初唐网络科技有限公司
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