CN110852789A - Real estate evaluation management method - Google Patents

Real estate evaluation management method Download PDF

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CN110852789A
CN110852789A CN201911012147.1A CN201911012147A CN110852789A CN 110852789 A CN110852789 A CN 110852789A CN 201911012147 A CN201911012147 A CN 201911012147A CN 110852789 A CN110852789 A CN 110852789A
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user
real estate
database
estate evaluation
average
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杜康
骆晓红
陆宇
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Shenzhen Huirong Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/9035—Filtering based on additional data, e.g. user or group profiles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/904—Browsing; Visualisation therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/16—Real estate

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Abstract

The invention relates to a real estate evaluation management method, relates to the technical field of real estate evaluation, and solves the problems that the sequencing of each module in the current real estate evaluation management system is fixed, and the frequency and time of applying different modules by different users in different time periods are different in the actual use process, and comprises the following steps: step S100: identifying the identity of the user; step S200: adjusting the module position adapted to the user habit based on the identified user identity and the condition that the user actually applies the real estate evaluation management system; step S300: and displaying the corresponding evaluation related latest data of the user in time based on the query habit of the user. According to the invention, based on the frequency and time consideration of the application module of the user in different time periods, the intelligent module position adjustment is carried out, thereby greatly facilitating the application module of the user.

Description

Real estate evaluation management method
Technical Field
The invention relates to the technical field of real estate evaluation, in particular to a real estate evaluation management method.
Background
With the rapid development and the increasing maturity of the real estate industry in China, the real estate industry has become a new growth point of national economy, but at the same time, real estate is the industry which is most prone to generate foam economy and cause financial risks, so that the real estate mortgage loan assessment system which is linked with bank financial risks and real estate market ties is extremely important to be sound.
The existing real estate evaluation management system can relate to various modules, such as a knowledge management module, a business operation module, a marketing management module, an administrative personnel management module, a financial management module, a data statistics module and the like, the sequence of the various modules in the existing real estate evaluation management system is fixed, and in the actual use process, the frequency and the time for applying different modules in different time periods of different users are different, and an improved space is provided.
Disclosure of Invention
The invention aims to provide a real estate evaluation management method, which is used for intelligently adjusting the module position based on the frequency and time consideration of modules applied by users in different time periods, and greatly facilitates the users to apply the corresponding required modules.
The above object of the present invention is achieved by the following technical solutions:
a real estate evaluation management method comprising the steps of:
step S100: identifying the identity of the user;
step S200: adjusting the module position adapted to the user habit based on the identified user identity and the condition that the user actually applies the real estate evaluation management system;
step S300: and displaying the corresponding evaluation related latest data of the user in time based on the query habit of the user.
By adopting the technical scheme, the user identity is considered to be identified through the setting of the steps S100, S200 and S300, and the intelligent adjustment of the module position is carried out based on the habit of the user, so that the application efficiency of the module by the user is further facilitated.
The invention is further configured to: step S100 includes the steps of:
step S110: constructing a first database storing iris information and login password account information of a user and a corresponding user;
step S120: firstly, inquiring the identity of a corresponding user in a first database based on a login password account input by the user, and matching iris information corresponding to the corresponding user;
step S130: and identifying the iris information of the user through the iris identification device, comparing the iris information with the matched iris information of the corresponding user, and determining the identity of the user if the comparison is consistent.
By adopting the technical scheme, the confirmation of the user identity is effectively realized through the combined setting of the step S110, the step S120 and the step S130, and the condition that a foreign person logs in is avoided.
The invention is further configured to: step S200 includes the steps of:
step S210: constructing a second database which stores the average frequency and the average application duration of the users and corresponding modules which are used by the users to log in the real estate evaluation system at different time periods;
step S220: taking the user identity and the time period of the current user logging in the real estate evaluation system as query objects, and querying the average frequency and the average application duration of the corresponding module applied by the corresponding identity user in the corresponding time period in the second database;
step S230: and constructing a weight calculation system based on the average frequency and the average application duration of the application of the corresponding modules by the user in the corresponding time period, and reordering the modules at least according to the total weight value.
By adopting the technical scheme, the setting of the steps S210, S220 and S230 effectively discloses how to determine the behavior habit of the user based on the application frequency and the application duration of the module by the user, so that the position of the module is adjusted more intelligently.
The invention is further configured to: step S230 includes the steps of:
step S231: constructing a weight calculation system, wherein the specific formula is as follows: z = (a)i/aGeneral assembly）*T1+（bi/bGeneral assembly）*T2Wherein a isiIs the average frequency of a certain module, aGeneral assemblyIs the average frequency sum of all modules, T1Is the ratio coefficient of the average frequency of the module, biAverage application duration for a certain module, bGeneral assemblyFor the average total application duration, T, of all modules2The ratio coefficient of the average frequency of the modules is Z, and the weight value of the corresponding module applied by the user is Z;
step S232: and sorting the modules from top to bottom based on the weight values from large to small.
By adopting the technical scheme, the setting of the step S231 and the step S232 effectively discloses how to analyze the habit tendency of the user better.
The invention is further configured to: step S300 includes the steps of:
step S310: constructing a user and a third database corresponding to the bullet frame position of the user which is inclined to display the latest data information;
step S320: inquiring the pop-up frame position inclined by the corresponding user in the third database by taking the user as an inquiry object;
step S330: and dynamically displaying the information which tends to be concerned by the user at the position of the bullet frame when the information related to the data concerned by the user is searched.
By adopting the technical scheme, the plate messages which are set through the steps S310, S320 and S330 and are based on the tendency of the user to know are sent to the user in the form of a bullet frame at the first time when the relevant plate messages appear.
The invention is further configured to: step S330 includes the steps of:
step S331: establishing a fourth database storing the user, the frequency of the data inquired by the corresponding user and the plate content of the related data;
step S332: the frequency of the data inquired by the corresponding user and the content of the plate to which the related data belong are inquired in a fourth database by taking the user identity as an inquiry object, and the plate content with the most inquiry frequency is counted;
step S333: acquiring related latest data of the plate content with the most frequent query acquisition frequency on the internet in real time;
step S334: and dynamically displaying the position of the bullet frame.
By adopting the technical scheme, how to analyze the plate content inclined by the user based on the previous habits of the user is disclosed through the settings of the steps S331, S332, S333 and S334.
The invention is further configured to: step S334 includes the steps of:
step S334. A: constructing a fifth database in which users and warning colors which correspond to the users tend to;
step S334. B: querying the color inclined by the user in a fifth database by taking the user as a query object;
step S334. C: the dynamic content located at the position of the bullet box is marked with the color preferred by the user.
By adopting the technical scheme, the warning color preferred by the user is further considered through the steps S334.A, S334.B and S334.C, and the warning color is applied to the bullet frame content, so that the attention of the user can be better attracted.
The invention is further configured to: step S334 also includes step S334.d following step S334.c, where step S334.d is specifically as follows: and constructing a sixth database in which the average time of closing the bullet box by the user and the corresponding user is stored, inquiring the average time of closing the bullet box by the corresponding user in the sixth database by taking the user as an inquiry object, and closing the bullet box in time based on the average time of closing the bullet box by the user.
By adopting the technical scheme, the time for closing the bullet frame by the user in daily life is further considered through the setting of the step S334.D, and the method is applied to closing the bullet frame in practice in time.
In conclusion, the beneficial technical effects of the invention are as follows: based on the frequency and time consideration of the application of the module by the user in different time periods, the intelligent module position adjustment is carried out, and the application of the real estate evaluation management system by the user is facilitated.
Drawings
FIG. 1 is a schematic diagram of the steps of the real estate evaluation management method of the present invention.
Fig. 2 is a detailed step diagram of step S100 in fig. 1.
Fig. 3 is a detailed step diagram of step S200 in fig. 1.
Fig. 4 is a detailed step diagram of step S230 in fig. 3.
Fig. 5 is a detailed step diagram of step S300 in fig. 1.
Fig. 6 is a detailed step diagram of step S330 in fig. 5.
Fig. 7 is a detailed step diagram of step S334 in fig. 6.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1, a real estate evaluation management method disclosed by the invention comprises the following steps: step S100: identifying the identity of the user; step S200: adjusting the module position adapted to the user habit based on the identified user identity and the condition that the user actually applies the real estate evaluation management system; step S300: and displaying the corresponding evaluation related latest data of the user in time based on the query habit of the user.
As shown in fig. 2, further considering the reasonable identification of the user identity, step S100 includes the following steps: step S110: constructing a first database storing iris information and login password account information of a user and a corresponding user; step S120: firstly, inquiring the identity of a corresponding user in a first database based on a login password account input by the user, and matching iris information corresponding to the corresponding user; step S130: and identifying the iris information of the user through the iris identification device, comparing the iris information with the matched iris information of the corresponding user, and determining the identity of the user if the comparison is consistent.
As shown in fig. 3, in addition, in consideration of how to adjust the module position based on the habit of the user, so as to better meet the user' S requirement, step S200 includes the following steps: step S210: constructing a second database which stores the average frequency and the average application duration of the users and corresponding modules which are used by the users to log in the real estate evaluation system at different time periods; step S220: taking the user identity and the time period of the current user logging in the real estate evaluation system as query objects, and querying the average frequency and the average application duration of the corresponding module applied by the corresponding identity user in the corresponding time period in the second database; step S230: and constructing a weight calculation system based on the average frequency and the average application duration of the application of the corresponding modules by the user in the corresponding time period, and reordering the modules at least according to the total weight value.
As shown in fig. 4, further considering how to specifically calculate the total weight value, step S230 includes the following steps: step S231: constructing a weight calculation system, wherein the specific formula is as follows: z = (a)i/aGeneral assembly）*T1+（bi/bGeneral assembly）*T2Wherein a isiIs the average frequency of a certain module, aGeneral assemblyIs the average frequency sum of all modules, T1Is the ratio coefficient of the average frequency of the module, biAverage application duration for a certain module, bGeneral assemblyFor the average total application duration, T, of all modules2The ratio coefficient of the average frequency of the modules is Z, and the weight value of the corresponding module applied by the user is Z; step S232: and sorting the modules from top to bottom based on the weight values from large to small.
As shown in fig. 5, in addition to how to display the latest material that the user needs to know, step S300 includes the following steps: step S310: constructing a user and a third database corresponding to the bullet frame position of the user which is inclined to display the latest data information; step S320: inquiring the pop-up frame position inclined by the corresponding user in the third database by taking the user as an inquiry object; step S330: and dynamically displaying the information which tends to be concerned by the user at the position of the bullet frame when the information related to the data concerned by the user is searched.
As shown in fig. 6, further considering how to present the information that the user tends to pay attention to, step S330 includes the following steps: step S331: establishing a fourth database storing the user, the frequency of the data inquired by the corresponding user and the plate content of the related data; step S332: the frequency of the data inquired by the corresponding user and the content of the plate to which the related data belong are inquired in a fourth database by taking the user identity as an inquiry object, and the plate content with the most inquiry frequency is counted; step S333: acquiring related latest data of the plate content with the most frequent query acquisition frequency on the internet in real time; step S334: and dynamically displaying the position of the bullet frame.
As shown in fig. 7, and as to how to dynamically display the corresponding information, step S334 includes the following steps: step S334. A: constructing a fifth database in which users and warning colors which correspond to the users tend to; step S334. B: querying the color inclined by the user in a fifth database by taking the user as a query object; step S334. C: the dynamic content located at the position of the bullet box is marked with the color preferred by the user.
In addition, considering the timing of actively closing the bullet box, step S334 further includes step S334.d after step S334.c, where step S334.d is specifically as follows: and constructing a sixth database in which the average time of closing the bullet box by the user and the corresponding user is stored, inquiring the average time of closing the bullet box by the corresponding user in the sixth database by taking the user as an inquiry object, and closing the bullet box in time based on the average time of closing the bullet box by the user.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.

Claims (8)

1. A real estate evaluation management method comprising the steps of:
step S100: identifying the identity of the user;
step S200: adjusting the module position adapted to the user habit based on the identified user identity and the condition that the user actually applies the real estate evaluation management system;
step S300: and displaying the corresponding evaluation related latest data of the user in time based on the query habit of the user.
2. A real estate evaluation management method as claimed in claim 1 wherein step S100 comprises the steps of:
step S110: constructing a first database storing iris information and login password account information of a user and a corresponding user;
step S120: firstly, inquiring the identity of a corresponding user in a first database based on a login password account input by the user, and matching iris information corresponding to the corresponding user;
step S130: and identifying the iris information of the user through the iris identification device, comparing the iris information with the matched iris information of the corresponding user, and determining the identity of the user if the comparison is consistent.
3. A real estate evaluation management method as claimed in claim 2 wherein step S200 comprises the steps of:
step S210: constructing a second database which stores the average frequency and the average application duration of the users and corresponding modules which are used by the users to log in the real estate evaluation system at different time periods;
step S220: taking the user identity and the time period of the current user logging in the real estate evaluation system as query objects, and querying the average frequency and the average application duration of the corresponding module applied by the corresponding identity user in the corresponding time period in the second database;
step S230: and constructing a weight calculation system based on the average frequency and the average application duration of the application of the corresponding modules by the user in the corresponding time period, and reordering the modules at least according to the total weight value.
4.A real estate evaluation management method according to claim 3 wherein step S230 includes the steps of:
step S231: constructing a weight calculation system, wherein the specific formula is as follows: z = (a)i/aGeneral assembly）*T1+（bi/bGeneral assembly）*T2Wherein a isiIs the average frequency of a certain module, aGeneral assemblyIs the average frequency sum of all modules, T1Is the ratio coefficient of the average frequency of the module, biIs a certain oneAverage application duration of the module, bGeneral assemblyFor the average total application duration, T, of all modules2The ratio coefficient of the average frequency of the modules is Z, and the weight value of the corresponding module applied by the user is Z;
step S232: and sorting the modules from top to bottom based on the weight values from large to small.
5. A real estate evaluation management method as claimed in claim 4 wherein step S300 includes the steps of:
step S310: constructing a user and a third database corresponding to the bullet frame position of the user which is inclined to display the latest data information;
step S320: inquiring the pop-up frame position inclined by the corresponding user in the third database by taking the user as an inquiry object;
step S330: and dynamically displaying the information which tends to be concerned by the user at the position of the bullet frame when the information related to the data concerned by the user is searched.
6. A real estate evaluation management method as claimed in claim 5 wherein step S330 includes the steps of:
step S331: establishing a fourth database storing the user, the frequency of the data inquired by the corresponding user and the plate content of the related data;
step S332: the frequency of the data inquired by the corresponding user and the content of the plate to which the related data belong are inquired in a fourth database by taking the user identity as an inquiry object, and the plate content with the most inquiry frequency is counted;
step S333: acquiring related latest data of the plate content with the most frequent query acquisition frequency on the internet in real time;
step S334: and dynamically displaying the position of the bullet frame.
7. A real estate evaluation management method as claimed in claim 6 wherein step S334 includes the steps of:
step S334. A: constructing a fifth database in which users and warning colors which correspond to the users tend to;
step S334. B: querying the color inclined by the user in a fifth database by taking the user as a query object;
step S334. C: the dynamic content located at the position of the bullet box is marked with the color preferred by the user.
8. A real estate evaluation management method according to claim 7 wherein step S334 further includes step S334.d after step S334.c, step S334.d specifically being as follows: and constructing a sixth database in which the average time of closing the bullet box by the user and the corresponding user is stored, inquiring the average time of closing the bullet box by the corresponding user in the sixth database by taking the user as an inquiry object, and closing the bullet box in time based on the average time of closing the bullet box by the user.
CN201911012147.1A 2019-10-23 2019-10-23 Real estate evaluation management method Pending CN110852789A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111414526A (en) * 2020-03-02 2020-07-14 浙江同洲项目管理有限公司 Elevator installation supervision method and computer readable storage medium

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Publication number Priority date Publication date Assignee Title
CN104267675A (en) * 2014-09-09 2015-01-07 九阳股份有限公司 Self-adjusting intelligent kitchen household appliance
CN106483862A (en) * 2016-09-30 2017-03-08 佛山市顺德区美的电热电器制造有限公司 The method of feature list intelligent sequencing, system and smart machine
CN109656903A (en) * 2018-10-30 2019-04-19 成都飞机工业（集团）有限责任公司 A kind of method of intelligently pushing control center module
CN110288438A (en) * 2019-06-22 2019-09-27 深圳市顶尖传诚科技有限公司 A kind of electric business platform transaction system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104267675A (en) * 2014-09-09 2015-01-07 九阳股份有限公司 Self-adjusting intelligent kitchen household appliance
CN106483862A (en) * 2016-09-30 2017-03-08 佛山市顺德区美的电热电器制造有限公司 The method of feature list intelligent sequencing, system and smart machine
CN109656903A (en) * 2018-10-30 2019-04-19 成都飞机工业（集团）有限责任公司 A kind of method of intelligently pushing control center module
CN110288438A (en) * 2019-06-22 2019-09-27 深圳市顶尖传诚科技有限公司 A kind of electric business platform transaction system

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Publication number Priority date Publication date Assignee Title
CN111414526A (en) * 2020-03-02 2020-07-14 浙江同洲项目管理有限公司 Elevator installation supervision method and computer readable storage medium
CN111414526B (en) * 2020-03-02 2023-04-21 浙江同洲项目管理有限公司 Elevator additionally-installed supervision method and computer-readable storage medium

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Application publication date: 20200228