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House leasing system and method based on block chain

A leasing system and blockchain technology, applied in sales/leasing transactions, instruments, commerce, etc., can solve the problems of idle houses, inability to understand the time when users sign electronic contracts, and deceive landlords to rent, so as to protect interests, The effect of solving the user's rental problem

Active Publication Date: 2021-02-12
江苏三六五网络股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When users choose a house type, in order to make the rental price cheaper, they often deceive the landlord about the time of renting the house, and then many users adjust the location of the rented house according to the distance from their work unit to the rented house. Although this move makes it easier for users to commute up and down Simple, but it makes many landlords complain;
[0003] At the same time, when selecting a house type on the app, because it is impossible to know whether the user is satisfied with the rented house type or when the user wants to wait for the house price to drop, but is picked up by other users, it is impossible to find a matching house in a short time, not only It wastes the waiting time of users and also makes some houses idle, unable to solve the idea of ​​landlords wanting to rent out the house, solve the urgent needs of some landlords, and it is impossible to know whether users are satisfied with the house they are looking at when actually viewing the house. At the same time, it is impossible to know whether the user can sign an electronic contract with the merchant

Method used

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  • House leasing system and method based on block chain
  • House leasing system and method based on block chain
  • House leasing system and method based on block chain

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0068] Example 1: In the two-dimensional model, the coordinates of the user's work place are displayed as G(x,y): (550,820), and the set of coordinates of the rented houses is F{(c 1 , d 1 ),(c 2 , d 2 )...(c m , d m )}: F{(100,630),(950,850),(500,450)}, the coordinates of the house you are looking at now is Z=(a 1 ,b 1 ): Z=(350,220), the collection of time rented by different houses is T={3 months, 5 months, 7 months};

[0069] According to the formula:

[0070] In the above formula, there is an independent variable M and a dependent variable T, and the relational expression of the function is T=am i +b;

[0071]

[0072]

[0073]

[0074] P=∑(f(m i )-t i ) 2 =∑(am i +b-t i ) 2 ;

[0075]

[0076]

[0077] Thereby draw: a=0.01, b=0.83;

[0078] T=0.01m i +0.83

[0079] When M=1000, T=11;

[0080] According to the calculation, when the rented house is 1000 away from the work place, the time of the rented house is November

[0081] Through th...

Embodiment 2

[0083] Example 2: Assume that different tenants are interested in the room type of the house they actually see and the ratings of other tenants for this room type, so the tenant will select other tenants with higher similarity from the ratings generated by the same room type. Square, the set of room-mate scoring scores is H={11,2.5,8.2,7.5,4.5,9,15,16.8,12}, L 1 The set of ratings of the lessee on the house type is [8.2, 7.5, 16, 12, 15], L 2 The set of ratings of the lessee on the house type is [11, 15, 8.2, 7.5, 9], L 3 The collection of scores of the lessee on the type of room he saw is [4.5, 7.5, 16, 12, 8.2]

[0084] According to the formula:

[0085]

[0086]

[0087]

[0088] According to the results of the data, it was found that L 1 Lessee and L 3 The similarity between the tenants is the highest, so it can be submitted to L 1 The lessee recommends L 3 The house type that the lessee sees enables the lessee to find the house type that matches them faster...

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Abstract

The invention discloses a house leasing system and method based on a block chain, and relates to the technical field of house leasing. The system comprises a user label determination module, a lesseemanagement module, a lessee recommendation module, and an actual house resource confirmation module. The lessee management module is used for predicting the lease time of a user according to the previous lease information of the user and preferentially recommending houses within the remaining house lease time according to the clear non-renewal condition of a first lessee, and the lessee recommendation module is used for recommending houses according to the requirements of a lessee. The real house resource confirmation module is used for judging whether the tenant is satisfied with the visitedhouse type or not according to the facial expression of the user when the tenant visits the house practically, is scientific and reasonable, can recommend other tenants with the same house type and the highest score similarity rate to the tenant by utilizing the tenant recommendation module, and improves the user experience. Therefore, a lessee can know more house types from other lessees.

Description

technical field [0001] The present invention relates to the technical field of house leasing, in particular to a block chain-based house leasing system and method. Background technique [0002] With the development of cities, more and more people choose to work and settle in big cities. Before buying a house in a big city, some users will choose a house on the rental app to prepare for buying a house and raising funds. Therefore, the market for house rental The vacancies are getting bigger and bigger. When users choose a house type, in order to make the rental price cheaper, they often deceive the landlord about the time of renting the house, and then many users adjust the location of the rented house according to the distance from their work unit to the rented house. Although this move makes it easier for users to commute up and down Simple, but it makes many landlords complain; [0003] At the same time, when selecting a house type on the app, because it is impossible to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/06G06Q50/16
CPCG06Q10/04G06Q30/0631G06Q30/0645G06Q50/16
Inventor 不公告发明人
Owner 江苏三六五网络股份有限公司
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