System for dynamically adjusting short-term rental house prices based on machine learning model and method thereof

Abstract

The embodiments of the invention provide a system for dynamically adjusting short-term rental house prices based on a machine learning model. The system is characterized in that: the system includes: a data resource storage module which stores mass house data, house owner information and tenement requirement information, and transaction historical information in a distributed cluster; a user front end module which is intended for receiving house reservation information which is input by a user; an intelligent artificial computing module which is intended for estimating house prices through an intelligent artificial model; a house bidding module which is intended for pushing the estimated prices to a house owner and acquiring an on-sale price of a current house that is input by the house owner; and a sorting engine module and an output module which present house information to the user in a reasonable order according to user's requirement in combination with reservation resource information which is filled by the user. The invention also provides a corresponding method.

Description

technical field [0001] The present invention relates to the technical field of e-commerce data processing, in particular to the technical field of online room reservation; Background technique [0002] Typical representatives of the short-term rental accommodation industry include Airbnb abroad, and domestic short-term rentals such as Ant Short-term Rental, Xiaozhu Short-term Rental, Wooden Bird Short-term Rental, etc. On the platform, and then passively wait for customers to come to the door; the landlord does not know what kind of price demand the customer has, how many housing accommodation needs, etc., may cause the vacancy rate to appear due to the price; on the other hand, due to the constant change of the occupancy situation , and depending on the size of the house and the star status, the price gap is very large, so it is very inconvenient to sell on the website platform at a fixed price, and often there will be an embarrassing situation where the contract is generat...

AI Technical Summary

Problems solved by technology

[0002] Typical representatives of the short-term rental accommodation industry include Airbnb abroad, and domestic short-term rentals such as Ant Short-term Rental, Xiaozhu Short-term Rental, Wooden Bird Short-term Rental, etc. On the platform, and then passively wait for customers to come to the door; the landlord does not know what kind of price demand the customer has, how many housing accommodation needs, etc., may cause the vacancy rate to appear due to the price; on the other hand, due to the constant change of the occupancy situation , and depending on the size of the house and the star status, the price gap is very large, so it is very inconvenient to sell on the website platform at a fixed price, and often there will be an embarrassing situation where the contract is generated but there is no house available; for the residents, It is to go to various platforms to conduct a large number of screening, consultation, and comparison of housing prices, which is time-consuming and labor-intensive;

Images