CN108345997A

CN108345997A - Appraisal procedure of purchasing house and relevant apparatus, electronic equipment and storage medium

Info

Publication number: CN108345997A
Application number: CN201810127527.9A
Authority: CN
Inventors: 谢仕梅
Original assignee: Shenzhen Hinabian Technology Co Ltd
Current assignee: Shenzhen Hinabian Technology Co Ltd
Priority date: 2018-02-06
Filing date: 2018-02-06
Publication date: 2018-07-31

Abstract

The present invention relates to a kind of house-purchase appraisal procedure and relevant apparatus, electronic equipment and storage mediums, this method includes obtaining the house-purchase information for intention of user, the house-purchase information for intention includes investment budgey, further includes investing opening time, investment purpose, investment region and at least one sub-information in risk tolerance；Obtain the attribute list of all house property projects；Investment capital is obtained by pre-defined algorithm according to investment budgey, which constitutes all subparameters of an investment parameter with sub-information；The matching value that investment parameter and the attribute of each house property project are calculated according to pre-defined algorithm, obtains the matching value list of the investment parameter and all house property projects.The present invention can efficiently and rapidly evaluate the source of houses of suitable user, save the time and efforts that user screens the source of houses, the experience sense of user is good, and evaluation process is more scientific objective.

Description

House purchase evaluation method and related device, electronic equipment and storage medium

[ technical field ] A method for producing a semiconductor device

The invention relates to the technical field of intelligent house purchasing, in particular to a house purchasing evaluation method, a related device, electronic equipment and a storage medium.

[ background of the invention ]

Real estate needs are diverse and can be roughly classified into three categories according to the types of needs: productivity requirements, consumer requirements, and investability requirements. From the demand object, the real estate market demand can also be divided into: the requirements of local people, people in provinces and cities and people in foreign countries.

The existing house source intermediary website generally provides various categories (such as country and region classified display) and retrieval functions of house sources, and users can screen and search according to conditions required by the users. The user can check the house source detail page which meets the conditions, and click the appointed house source to reserve the telephone number for consultation or directly dial the toll free telephone to obtain the house purchasing scheme.

However, the user faces a lot of house source information, a lot of time and energy are consumed for screening and searching, the screened result does not necessarily meet the requirements of the user, and the user experience is poor. Also, the home-buying consultant is inefficient because for each user, his will, purpose, funds, etc. need to be queried and recorded.

[ summary of the invention ]

The invention aims to provide a house purchase evaluation method, a related device, electronic equipment and a storage medium, which can efficiently and quickly evaluate house sources suitable for users.

To solve the above technical problems, the present invention provides the following technical solutions

In one aspect, the present invention provides a house purchase evaluation method, including:

acquiring the housing purchasing intention information of a user, wherein the housing purchasing intention information comprises an investment budget and at least one item of sub-information of investment opening time, an investment purpose, an investment region and risk bearing capacity;

acquiring an attribute list of all the real estate items;

obtaining an investment principal according to an investment budget and a predetermined algorithm, wherein the investment principal and the sub-information form all sub-parameters of an investment parameter;

and calculating the matching value of the investment parameter and the attribute of each property item according to a preset algorithm to obtain a list of the matching values of the investment parameter and all the property items.

In some embodiments, the investment principal is obtained according to a predetermined algorithm based on an investment budget, the investment principal and the sub-information forming all sub-parameters of an investment parameter including: splitting the investment budget into at least two investment principal according to a preset proportion, wherein each investment principal and the sub-information form all sub-parameters of one investment parameter; the method further comprises the following steps: and cross-combining the matching value lists obtained by calculation according to each investment parameter to obtain a combined matching value list.

In some embodiments, the step of calculating a match value of the investment parameter to an attribute of each property item according to a predetermined algorithm comprises: calculating a sub-matching value of each sub-parameter of the investment parameters and the attribute of each property item according to a predetermined algorithm; and calculating the matching value of the investment parameter and the attribute of each house project according to a preset algorithm according to the sub-matching value.

In some embodiments, calculating a sub-match value for each sub-parameter of the investment parameter to an attribute of each property item according to a predetermined algorithm comprises: if x1> -y 1, then F1 ═ 1, x1 is the investment principal, y1 is the total price of each property item, and F1 is the sub-match value of the investment principal to the attributes of each property item.

In some embodiments, calculating a sub-match value for each sub-parameter of the investment parameter to an attribute of each property item according to a predetermined algorithm comprises: if x1< y1, then F1 ═ y1-x1)/x1, x1 is the investment principal, y1 is the total price for each property item, and F1 is the sub-match value of the investment principal to the attribute of each property item.

In some embodiments, calculating a sub-match value for each sub-parameter of the investment parameter to an attribute of each property item according to a predetermined algorithm comprises: and acquiring the investment opening time of the user and the sub-matching value of the attribute of each house project from the corresponding relation between the preset investment opening time and the sub-matching value.

In some embodiments, calculating a sub-match value for each sub-parameter of the investment parameter to an attribute of each property item according to a predetermined algorithm comprises: if x3 is the same as y3 or y3 includes x3, then F3 is 1, x3 is the user's investment purpose, y3 is the investment purpose of each property item, and F3 is the sub-match value of the user's investment purpose with each property item.

In some embodiments, calculating a sub-match value for each sub-parameter of the investment parameter to an attribute of each property item according to a predetermined algorithm comprises: if y3 contains no x3 at all, then F3 is 0, x3 is the user's investment purpose, y3 is the investment purpose for each property item, and F3 is the child match value for the user's investment purpose with each property item.

In some embodiments, calculating a sub-match value for each sub-parameter of the investment parameter to an attribute of each property item according to a predetermined algorithm comprises: and acquiring the sub-matching value of the attributes of the investment region and each house project of the user from the corresponding relationship among the preset investment region, house region and sub-matching value.

In some embodiments, calculating a sub-match value for each sub-parameter of the investment parameter to an attribute of each property item according to a predetermined algorithm comprises: if x5 is y5, then F5 is 1, x5 is the risk tolerance, y5 is the risk rating of each property item, and F5 is the sub-match value of the user's risk tolerance to the attributes of each property item.

In some embodiments, calculating a sub-match value for each sub-parameter of the investment parameter to an attribute of each property item according to a predetermined algorithm comprises: if x5 is not equal to y5, then F5 is | x-y |/10, x5 is the risk tolerance, y5 is the risk rating of each property item, and F5 is the sub-match value of the user's risk tolerance to the attribute of each property item.

In some embodiments, calculating a match value of the investment parameter to an attribute of each property item according to a predetermined algorithm based on the sub-match values comprises: and S is sigma (Fi) Wi, Fi is each sub-matching value, Wi is the weight of each preset sub-matching value, i is the serial number of each sub-matching value, i is 0, 1 and 2 … … N, and S is the matching value of the investment parameter and the attribute of each house project.

In another aspect, the present invention provides a house purchase evaluation system, including:

the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring the house purchasing intention information of a user, and the house purchasing intention information comprises investment budget and at least one item of sub-information of investment opening time, investment purposes, investment regions and risk bearing capacity;

the second acquisition module is used for acquiring the attribute lists of all the real estate items;

the first calculation module is used for obtaining investment principal according to the investment budget and a preset algorithm, and the investment principal and the sub-information form all sub-parameters of one investment parameter;

and the second calculation module is used for calculating the matching value of the investment parameter and the attribute of each property item according to a preset algorithm to obtain a list of the matching values of the investment parameter and all the property items.

In some embodiments, the first calculation module comprises: the splitting unit is used for splitting the investment budget into at least two investment principal according to a preset proportion, and each investment principal and the sub-information form all sub-parameters of one investment parameter; the system also comprises a third calculation module which is used for cross-combining the matching value lists calculated according to each investment parameter to obtain a combined matching value list.

In some embodiments, the second calculation module comprises: the first calculating unit is used for calculating a sub-matching value of each sub-parameter of the investment parameter and the attribute of each property item according to a preset algorithm; and the second calculating unit is used for calculating the matching value of the investment parameter and the attribute of each house project according to the sub-matching value and a preset algorithm.

In another aspect, the present invention provides an electronic device comprising:

at least one processor; and

a memory coupled to the at least one processor; wherein,

the memory stores a program of instructions executable by the at least one processor to cause the at least one processor to:

acquiring an attribute list of all the real estate items;

In another aspect, the present invention provides a non-transitory computer-readable storage medium having stored thereon computer-executable instructions for causing a computer to perform any of the methods described above.

The invention has the beneficial effects that:

the method comprises the steps of obtaining an investment budget of a user, obtaining at least one item of sub-information of investment opening time, investment purposes, investment regions and risk bearing capacity, obtaining an investment principal according to the investment budget, forming an investment parameter by the investment principal and the sub-information, calculating a matching value of the investment parameter and the attribute of each house project, and obtaining a list of the matching values of the investment parameter and all house projects, so that the user can know the matching values of all house projects, and the first several house projects which are matched most can be screened out. Therefore, the user only needs to fill in simple house purchasing intention information, the system can efficiently and quickly evaluate the house resources suitable for the user, the time and the energy for screening the house resources by the user are saved, the experience of the user is good, and the evaluation process is more scientific and objective. Moreover, the house-buying consultant does not need to face every user to repeat the problem, and more importantly, the consultant can obtain the house property matching result evaluated by the system, so that the information amount is more comprehensive.

[ description of the drawings ]

FIG. 1 is a schematic flow chart diagram illustrating an embodiment of a house purchase assessment method according to an embodiment of the present invention;

FIG. 2 is a flow chart of another embodiment of a house purchase evaluation method according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of an embodiment of a house purchase evaluation system according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of another embodiment of a house purchase evaluation system according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of an embodiment of an electronic device in an embodiment of the present invention.

[ detailed description ] embodiments

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.

In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items; the term "connect", as used herein, if a connection between circuits or electronic elements, includes a direct electrical connection or communication connection between the circuits or electronic elements, and also includes an indirect electrical connection between the circuits or electronic elements through other circuits or electronic elements.

Example one

Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an embodiment of a house purchase evaluation method according to an embodiment of the present invention. As shown in fig. 1, the present embodiment includes:

101. acquiring the housing purchasing intention information of a user, wherein the housing purchasing intention information comprises an investment budget and at least one item of sub-information of investment opening time, an investment purpose, an investment region and risk bearing capacity;

the execution subject of this embodiment may be a house purchasing decision system, and the user may input or select house purchasing intention information in the system.

The purchase intention information includes an investment budget, and the system may have a plurality of investment budgets selected by the user, such as 100 ten thousand, 100 ten thousand-300 ten thousand, 300 ten thousand-500 ten thousand, 500 ten thousand-1000 ten thousand, 1000 ten thousand or more, and so on.

The information of the intention to purchase the house further comprises a plurality of pieces of sub-information, wherein the plurality of pieces of sub-information comprise at least one of investment opening time, investment purposes, investment regions and risk bearing capacity of the user. The system can have a plurality of items of investment opening time, investment purposes, investment regions and risk bearing capacity to be selected by users. For example, the investment turn-on time may include options of anytime, within 1 month, from 1 month to 3 months, from 3 months to 6 months, from 6 months to 1 year, more than 1 year, etc.; the investment goals may include such options as investment financing, living self, travel vacation, pension, educational reservation, etc.; the investment territory may include the options Spain, Portugal, United states, France, Italy, Greece, Pittsburgh; the risk tolerance may include 10 levels of options of 1, 2, 3 … … 10.

102. Acquiring an attribute list of all the real estate items;

the system can traverse all the property items and acquire the attribute list of all the property items after acquiring the information of the house purchasing intention of the user. The attributes of each property item may include these parameters: territory (e.g., country or city), house source type, project advantage, investment purpose, total house price, first payment rate, annual average rent, etc.

103. Obtaining an investment principal according to an investment budget and a predetermined algorithm, wherein the investment principal and the sub-information form all sub-parameters of an investment parameter;

after the investment budget is obtained, the investment fund can be obtained according to a preset algorithm. For example, the investment budget may be directly treated as an investment principal; the investment budget may also be split into at least two investment principal in a predetermined ratio, for example, 1000 ten thousand investment budget into 200 ten thousand investment principal and 800 ten thousand investment principal in a ratio of 2:8, or 1000 ten thousand investment budget into three investment principal of 100, 300 and 600 ten thousand investment principal in a ratio of 1:3: 6.

The investment opening time, the investment purpose, the investment region and the risk bearing capacity in the investment principal and the housing purchase intention information form all sub-parameters of one investment parameter. For example, one investment parameter is shown in Table 1:

capital investment	Investment opening time	Purpose of investment	Region of investment	Risk tolerance capability
					1600 ten thousand	At any time	Live by oneself	United states of America	5

TABLE 1

104. And calculating the matching value of the investment parameter and the attribute of each property item according to a preset algorithm to obtain a list of the matching values of the investment parameter and all the property items.

The specific manner of calculating the matching value of the investment parameter and the attribute of each property item according to the predetermined algorithm may include: the sub-match value of each sub-parameter of the investment parameter with the attribute of each property item is calculated according to a predetermined algorithm (the predetermined algorithm can be various), and then the match value of the investment parameter with the attribute of each property item is calculated according to the predetermined algorithm according to each sub-match value (the predetermined algorithm can also be various, such as averaging, weighting and the like). For example, the investment principal, the investment opening time, the investment purpose, the investment region, and the risk tolerance are respectively calculated to be 1, 0.9, 0.8, 0.3, and 1 according to a predetermined algorithm, and then the average value of the sub-matching values is 0.8 as the matching value of the investment parameter and the property of the property item a.

And calculating the matching value of the investment parameter and the attribute of each real estate item to obtain a list of the matching values of the investment parameter and all real estate items, so that the user can know the matching values of all real estate items, and the first plurality of real estate items which are most matched can be screened out. For example, the list of matching values of the investment parameters to all the property items shown in Table 1 is shown in Table 2:

serial number of real estate item	Match value
		A	0.8
B	0.9
		C	0.3
……	……

TABLE 2

Further, the embodiment may further include screening the first few house items that are most matched according to the matching value list of the investment parameters and all the house items, so that the system may directly present the first few house items that are most matched to the user.

In this embodiment, the investment budget of the user is obtained, at least one item of sub-information of the investment opening time, the investment purpose, the investment region and the risk tolerance is obtained, the investment principal is obtained according to the investment budget, the investment principal and each item of sub-information form an investment parameter, the matching value of the investment parameter and the attribute of each house project is calculated, and the matching value list of the investment parameter and all house projects is obtained, so that the user can know the matching values of all house projects, and the first several house projects which are most matched can be screened out. Therefore, the user only needs to fill in simple house purchasing intention information, the system can efficiently and quickly evaluate the house resources suitable for the user, the time and the energy for screening the house resources by the user are saved, the experience of the user is good, and the evaluation process is more scientific and objective. Moreover, the house-buying consultant does not need to face every user to repeat the problem, and more importantly, the consultant can obtain the house property matching result evaluated by the system, so that the information amount is more comprehensive.

Example two

Referring to fig. 2, fig. 2 is a schematic flow chart illustrating a house purchase evaluation method according to another embodiment of the present invention. As shown in fig. 2, the present embodiment includes:

201. acquiring the housing purchasing intention information of a user, wherein the housing purchasing intention information comprises investment budget, investment opening time, investment purposes, investment regions and risk bearing capacity;

step 201 refers to the description of step 101.

202. Acquiring an attribute list of all the real estate items;

step 202 is described with reference to step 102.

203. Splitting the investment budget into two investment principal according to a preset proportion, wherein each investment principal and the investment opening time, the investment purpose, the investment region and the risk bearing capacity form all sub-parameters of one investment parameter;

step 203 refers to the description of step 103.

For ease of understanding, a specific application is set forth herein. Suppose that the user's purchase intention information is as in table 3:

investment budget	Investment opening time	Purpose of investment	Region of investment	Risk tolerance capability
					1000 ten thousand	At any time	Live by oneself	Australia	5

TABLE 3 House purchase intention information

If the investment budget is split into two investment principal sums of 200 ten thousand and 800 ten thousand according to the ratio of 2:8 in step 203, two investment parameters are respectively shown in table 4 and table 5:

capital investment	Investment opening time	Purpose of investment	Region of investment	Risk tolerance capability
					200 ten thousand	At any time	Live by oneself	Australia	5

TABLE 4 investment parameters 1

Capital investment	Investment opening time	Purpose of investment	Region of investment	Risk tolerance capability
					800 ten thousand	At any time	Live by oneself	Australia	5

TABLE 5 investment parameters 2

204. Calculating a sub-matching value of each sub-parameter of the investment parameters and the attribute of each property item according to a predetermined algorithm;

in this embodiment, the sub-parameters of the investment parameter include investment principal, investment opening time, investment purpose, investment region and risk tolerance, and there may be a plurality of predetermined algorithms for calculating the sub-matching values of the attributes of each sub-parameter and each property item.

In some embodiments, the predetermined algorithm that calculates the sub-match values of the investment principal to the attributes of each property item may take this form: if x1> -y 1, F1-1; if x1< y1, F1 ═ (y1-x1)/x 1; x1 is the principal investment, y1 is the total price of each property item, and F1 is the child match value of the principal investment to the attributes of each property item.

In some embodiments, the predetermined algorithm that calculates the sub-match values of the investment opening time to the attributes of each property item may take this form: and acquiring the investment opening time of the user and the sub-matching value of the attribute of each house project from the corresponding relation between the preset investment opening time and the sub-matching value. For example, the investment opening time and the sub-matching value are in a one-to-one mapping relationship, and if x2 is random, F2 is 1; if x2 is <1 month, F2 is 0.9, x2 is the user's investment opening time, and F2 is the sub-match value of the user's investment opening time to each property item.

In some embodiments, the predetermined algorithm for calculating the sub-match values of the investment objectives to the attributes of each property item may take this form: if x3 is the same as y3 or y3 contains x3, then F3 is 1; if y3 contains no x3 at all, then F3 is 0; if the y3 section contains x3, then F3 is the ratio of x3 to y3, x3 is the user's investment objective, y3 is the investment objective of each property item, and F3 is the sub-match value of the user's investment objective to each property item.

In some embodiments, the predetermined algorithm that calculates the sub-match values of the investment territory to the attributes of each property item may take this form: and acquiring the sub-matching value of the attributes of the investment region and each house project of the user from the corresponding relationship among the preset investment region, house region and sub-matching value. For example, if x4 is the same as y4, F4 is 1; for another example, if the geographic and humanistic of two countries are close, the degree of approximation is taken as the sub-matching value, for example, if x4 is australia and y4 is new zealand, F4 is 0.5; x4 is the investment zone of the user, y4 is the zone of each property item, and F4 is the sub-match value of the investment zone of the user and the attribute of each property item.

In some embodiments, the predetermined algorithm that calculates the sub-match values of the risk-bearing capacity to the attributes of each property item may take this form: if x5 is y5, F5 is 1; if x5 is not equal to y5, F5 ═ x-y |/10; x5 is the risk tolerance of the user, y5 is the risk rating of each property item, and F5 is the sub-match value of the user's risk tolerance to the attributes of each property item.

205. Calculating the matching value of the investment parameter and the attribute of each house project according to the sub-matching value and a preset algorithm to obtain a list of the matching values of the investment parameter and all the house projects;

the predetermined algorithm in step 205 may be implemented in various ways, such as:

and S is sigma (Fi) Wi, Fi is each sub-matching value, Wi is the weight of each preset sub-matching value, i is the serial number of each sub-matching value, i is 0, 1 and 2 … … N, and S is the matching value of the investment parameter and the attribute of each house project.

For example: the matching values S of the investment parameters and the attributes of each house project are F1 × 0.35+ F2 × 0.20+ F3 × 0.10+ F4 × 0.15+ F5 × 0.20, F1, F2, F3, F4, and F5 are respectively the sub-matching values of the investment principal and the attributes of each house project, the sub-matching values of the investment opening time and the attributes of each house project, the sub-matching values of the investment purpose and the attributes of each house project, the sub-matching values of the investment territory and the attributes of each house project, and the sub-matching values of the risk bearing capacity and the attributes of each house project, and 0.35, 0.20, 0.10, 0.15, 0.20 are respectively the weights of F1, F2, F3, F4, and F5.

For example, the list of the matching values of the investment parameter 1 and all the property items is shown in table 6, and the list of the matching values of the investment parameter 1 and all the property items is shown in table 7.

TABLE 6

TABLE 7

In some embodiments, the number of sub-parameter items of an investment parameter may be increased or decreased, e.g., investment goals may be deleted; the weight of each sub-match value can also be set to be adjustable. Specifically, which sub-parameters are adopted, and the specific weight of each sub-parameter can be manually adjusted, or can be automatically adjusted by methods such as a Support Vector Machine (SVM) and a Logistic Regression model (LR) according to historical house purchasing big data.

206. And cross-combining the matching value lists obtained by calculation according to each investment parameter to obtain a combined matching value list.

The combination matching value can be calculated according to the matching value calculated by each investment parameter in various ways, for example, the combination matching value can be the sum of the matching values calculated by the two investment parameters, or the average value of the matching values calculated by the two investment parameters. Further, the embodiment may also arrange the combined matching value list obtained in step 206 from high to low after the duplication is removed.

Taking the example that the combined matching value is equal to the sum of the matching values calculated by the two investment parameters as an example, the above table 6 and table 7 are cross-combined to obtain a combined matching value list (arranged in descending order of the matching values), as shown in table 8:

TABLE 8

The system can be arranged according to the descending order of the combination matching values, take out top n house project combinations and show the combinations to the user. In addition, the system can also display the information of the predicted annual income, annual average rent, total investment amount, total house price and the like of each house project combination, so that the user can clearly see the main information of each dimension of each combination to help the user to make a decision, and the user can view the information of a single house project corresponding to the combination by clicking the house project combination.

In some embodiments, the investment budget may be split into investment principal in several predetermined proportions, and the combined matching value list may be obtained separately for each predetermined proportion. For example, the investment budget 1000 ten thousand can be split into two investment principal funds of 200 ten thousand and 800 ten thousand according to the proportion of 2:8, and a combined matching value list A is obtained according to the two investment principal funds; and dividing the investment budget 1000 ten thousand into three investment principal funds of 100 ten thousand, 300 ten thousand and 600 ten thousand according to the proportion of 1:3:6, acquiring a combined matching value list B according to the investment principal funds, and displaying top n house item combinations of the combined matching value list A and top n house item combinations of the combined matching value list B to the user by the system.

In this embodiment, the investment budget of the user is obtained, at least one item of sub-information of investment opening time, investment purpose, investment region and risk tolerance is obtained, the investment budget is divided into investment principal according to a predetermined proportion, the investment principal and each item of sub-information form an investment parameter, a matching value of the investment parameter and an attribute of each house project is calculated, a matching value list of each investment parameter and all house projects is obtained, and a combination matching value list is obtained by cross-combining the matching value lists calculated according to each investment parameter, so that the user can know the matching value of all house project combinations, and the first several house project combinations which are most matched can be screened out. Therefore, the user only needs to fill in simple house purchasing intention information, the system can efficiently and quickly evaluate the house project combination suitable for the user, the time and the energy for the user to screen house resources are saved, the experience of the user is good, and the evaluation process is more scientific and objective.

EXAMPLE III

Referring to fig. 3, fig. 3 is a schematic structural diagram of an embodiment of a house purchase evaluation system according to an embodiment of the present invention. As shown in fig. 3, the present embodiment includes:

a first obtaining module 310, configured to obtain information about intention to purchase a house of a user, where the information about intention to purchase a house includes an investment budget and at least one piece of sub-information of investment opening time, investment purpose, investment region, and risk tolerance;

A second obtaining module 320, configured to obtain an attribute list of all the property items;

the second obtaining module may traverse all the property items and obtain the attribute list of all the property items after the first obtaining module 310 obtains the information of the house purchasing intention of the user. The attributes of each property item may include these parameters: territory (e.g., country or city), house source type, project advantage, investment purpose, total house price, first payment rate, annual average rent, etc.

A first calculating module 330, configured to obtain an investment principal according to a predetermined algorithm according to the investment budget, where the investment principal and the sub-information constitute all sub-parameters of an investment parameter;

the first calculating module 330 may obtain the investment fund according to a predetermined algorithm after the first obtaining module obtains the investment budget. For example, the investment budget may be directly treated as an investment principal; the investment budget may also be split into at least two investment principal in a predetermined ratio, for example, 1000 ten thousand investment budget into 200 ten thousand investment principal and 800 ten thousand investment principal in a ratio of 2:8, or 1000 ten thousand investment budget into three investment principal of 100, 300 and 600 ten thousand investment principal in a ratio of 1:3: 6.

The investment opening time, the investment purpose, the investment region and the risk bearing capacity in the investment principal and the housing purchase intention information form all sub-parameters of one investment parameter.

The second calculating module 340 is configured to calculate a matching value between the investment parameter and the attribute of each property item according to a predetermined algorithm, so as to obtain a list of matching values between the investment parameter and all property items.

The second calculating module 340 may obtain the investment parameters from the first calculating module, obtain the attribute list of all the property items from the second obtaining module, calculate the sub-matching value of each sub-parameter of the investment parameters and the attribute of each property item according to a predetermined algorithm (there may be a plurality of predetermined algorithms), and calculate the matching value of the investment parameters and the attribute of each property item according to a predetermined algorithm (there may also be a plurality of predetermined algorithms, such as averaging, weighting, and the like) according to each sub-matching value.

Further, the embodiment may further include a screening module configured to screen out the first plurality of house items that are most matched according to the investment parameter and the matching value list of all house items, so that the system may directly present the first plurality of house items that are most matched to the user.

In this embodiment, the first obtaining module obtains an investment budget of a user, and obtains at least one item of sub-information of investment opening time, an investment purpose, an investment region and risk tolerance, the first calculating module obtains an investment principal according to the investment budget, the investment principal and each item of sub-information form an investment parameter, and the second calculating module calculates a matching value of the investment parameter and an attribute of each house project, and obtains a list of matching values of the investment parameter and all house projects, so that the user can know the matching values of all house projects, and the first several house projects which are most matched can be screened out. Therefore, the user only needs to fill in simple house purchasing intention information, the system can efficiently and quickly evaluate the house resources suitable for the user, the time and the energy for screening the house resources by the user are saved, the experience of the user is good, and the evaluation process is more scientific and objective. Moreover, the house-buying consultant does not need to face every user to repeat the problem, and more importantly, the consultant can obtain the house property matching result evaluated by the system, so that the information amount is more comprehensive.

Example four

Referring to fig. 4, fig. 4 is a schematic structural diagram of another embodiment of a house purchase evaluation system according to an embodiment of the present invention. As shown in fig. 4, the present embodiment includes:

a first obtaining module 410, configured to obtain information of intention to purchase a house of a user, where the information of intention to purchase a house includes an investment budget and at least one piece of sub-information of investment opening time, investment purpose, investment region and risk tolerance;

a second obtaining module 420, configured to obtain attribute lists of all property items;

the first calculation module 430 includes a splitting unit, configured to split the investment budget into at least two investment principal according to a predetermined ratio, where the investment opening time, the investment purpose, the investment region, and the risk tolerance in the information of each investment principal and the purchase intention constitute all sub-parameters of an investment parameter;

the second calculation module 440 includes a first calculation unit for calculating a sub-match value of each sub-parameter of the investment parameter with an attribute of each property item according to a predetermined algorithm; the second calculating module 340 further comprises a second calculating unit for calculating a matching value of the investment parameter and the attribute of each property item according to a predetermined algorithm based on the sub-matching values;

the specific way in which the first calculation unit calculates the sub-match value of each sub-parameter of the investment parameter with the attribute of each property item according to the predetermined algorithm is as described above with reference to step 204.

The specific way in which the second calculation unit calculates the matching values of the investment parameters and the attributes of each property item is described above with reference to step 205.

And a third calculating module 450, configured to cross-combine the matching value lists calculated according to each investment parameter to obtain a combined matching value list.

The third calculating module 450 may obtain the matching value list calculated by each investment parameter from the second calculating module, and calculate the combined matching value according to the matching value calculated by each investment parameter, which may specifically adopt various manners, for example, the combined matching value may be the sum of the matching values calculated by two investment parameters, or may be the average of the matching values calculated by two investment parameters.

Further, the present embodiment may further include an arranging module, configured to arrange the combined matching value list obtained by the third calculating module 450 from high to low after the duplication is removed.

By adopting the house purchasing evaluation system in the embodiment, the user can know the matching values of all house project combinations, so that the first several house project combinations which are most matched can be screened out. Therefore, the user only needs to fill in simple house purchasing intention information, the system can efficiently and quickly evaluate the house project combination suitable for the user, the time and the energy for the user to screen house resources are saved, the experience of the user is good, and the evaluation process is more scientific and objective.

EXAMPLE five

In the embodiment of the invention, the invention further provides the electronic equipment.

Referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of an electronic device according to an embodiment of the present invention. As shown in fig. 5, the electronic device 500 includes:

at least one processor 510, one processor 510 being exemplified in fig. 5; and a memory 520 communicatively coupled to the at least one processor 510; wherein the memory stores a program of instructions executable by the at least one processor to enable the at least one processor to perform the above-described purchase assessment method.

The processor 510 and the memory 520 may be connected by a bus or other means, such as by a bus in FIG. 5.

The memory 520, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the house purchase assessment method in the embodiments of the present application. The processor 510 executes various functional applications and data processing of the electronic device by executing the nonvolatile software programs, instructions and modules stored in the memory 520, that is, implements the house purchase evaluation method applied to the electronic device of the above-described method embodiment.

The memory 520 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by use of the above-described house purchase evaluation method, and the like. Further, the memory 520 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 520 may include memory located remotely from processor 510, which may be connected to an electronic device through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

One or more modules are stored in the memory 520 and, when executed by the one or more processors 510, perform the method for house purchase assessment applied to an electronic device in any of the method embodiments described above.

EXAMPLE six

The present invention also provides a computer-readable storage medium, a non-transitory computer-readable storage medium, having stored thereon computer-executable instructions that are executable by one or more processors, such as processor 510 of fig. 5, to cause the one or more processors to perform the method for assessing a shopping mall in any of the method embodiments described above.

Those of ordinary skill in the art will appreciate that all or part of the steps of the various methods of the embodiments may be implemented by associated hardware as instructed by a program, which may be stored on a computer-readable storage medium, which may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, or the like. The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

The above detailed description illustrates, but does not limit, the invention and those skilled in the art will be able to design many alternative embodiments within the scope of the appended claims. Those skilled in the art will recognize that appropriate adjustments, modifications, etc. can be made to the specific implementations without departing from the scope of the invention as defined by the appended claims. It is therefore contemplated that the foregoing and other modifications and variations will fall within the spirit and scope of the invention as defined by the appended claims.

Claims

1. A house purchase assessment method, comprising:

acquiring an attribute list of all the real estate items;

obtaining an investment principal according to the investment budget and a predetermined algorithm, wherein the investment principal and the sub-information form all sub-parameters of an investment parameter;

2. The method according to claim 1, wherein said obtaining an investment principal according to said investment budget and according to a predetermined algorithm, said investment principal and said sub-information forming all sub-parameters of an investment parameter comprises:

splitting the investment budget into at least two investment principal according to a preset proportion, wherein each investment principal and the sub-information form all sub-parameters of one investment parameter;

the method further comprises the following steps: and cross-combining the matching value lists obtained by calculation according to each investment parameter to obtain a combined matching value list.

3. The house purchase evaluation method of claim 1, wherein the step of calculating a matching value of the investment parameter with the attribute of each house property item according to a predetermined algorithm comprises:

calculating a sub-matching value of each sub-parameter of the investment parameters and the attribute of each property item according to a preset algorithm;

and calculating the matching value of the investment parameter and the attribute of each house project according to a preset algorithm according to the sub-matching value.

4. The house purchase evaluation method of claim 3, wherein said calculating a sub-match value of each sub-parameter of the investment parameter to an attribute of each house item according to a predetermined algorithm comprises:

if x1> -y 1, then F1 ═ 1, x1 is the investment principal, y1 is the total price for each property item, and F1 is the sub-match value of the investment principal to the attributes of each property item.

5. The house purchase evaluation method of claim 3, wherein: the calculating a sub-match value of each sub-parameter of the investment parameters and an attribute of each property item according to a predetermined algorithm comprises:

if x1< y1, then F1 ═ y1-x1)/x1, x1 is the investment principal, y1 is the total price for each property item, and F1 is the sub-match value of the investment principal to the attribute of each property item.

6. The house purchase evaluation method of claim 3, wherein said calculating a sub-match value of each sub-parameter of the investment parameter to an attribute of each house item according to a predetermined algorithm comprises:

and acquiring the investment opening time of the user and the sub-matching value of the attribute of each house project from the corresponding relation between the preset investment opening time and the sub-matching value.

7. The house purchase evaluation method of claim 3, wherein said calculating a sub-match value of each sub-parameter of the investment parameter to an attribute of each house item according to a predetermined algorithm comprises:

if x3 is the same as y3 or y3 includes x3, then F3 is 1, x3 is the investment purpose of the user, y3 is the investment purpose of each property item, and F3 is the sub-match value of the user's investment purpose with each property item.

8. The house purchase evaluation method of claim 3, wherein said calculating a sub-match value of each sub-parameter of the investment parameter to an attribute of each house item according to a predetermined algorithm comprises:

if y3 contains no x3 at all, then F3 is 0, x3 is the user's investment purpose, y3 is the investment purpose for each property item, and F3 is the sub-match value of the user's investment purpose with each property item.

9. The house purchase evaluation method of claim 3, wherein: the calculating a sub-match value of each sub-parameter of the investment parameters and an attribute of each property item according to a predetermined algorithm comprises:

and acquiring the sub-matching value of the attributes of the investment region and each house project of the user from the corresponding relationship among the preset investment region, house region and sub-matching value.

10. The house purchase evaluation method of claim 3, wherein: the calculating a sub-match value of each sub-parameter of the investment parameters and an attribute of each property item according to a predetermined algorithm comprises:

if x5 is y5, then F5 is 1, x5 is the risk tolerance, y5 is the risk rating of each property item, and F5 is the sub-match value of the user's risk tolerance to the attribute of each property item.

11. The house purchase evaluation method of claim 3, wherein: the calculating a sub-match value of each sub-parameter of the investment parameters and an attribute of each property item according to a predetermined algorithm comprises:

if x5 is not equal to y5, then F5 ═ x-y |/10, x5 is the risk tolerance, y5 is the risk rating for each property item, and F5 is the sub-match value of the user's risk tolerance to the attributes of each property item.

12. The house purchase evaluation method of claim 3, wherein said calculating a match value of said investment parameter to an attribute of each house item according to a predetermined algorithm based on said sub-match values comprises:

13. A house purchase evaluation system, comprising:

14. The system of claim 13, wherein the first computing module comprises:

the splitting unit is used for splitting the investment budget into at least two investment principal according to a preset proportion, and each investment principal and the sub-information form all sub-parameters of one investment parameter;

the system also comprises a third calculation module which is used for obtaining a combined matching value list after cross-combining the matching value lists obtained by calculation according to each investment parameter.

15. The system of claim 13, wherein the second computing module comprises:

the first calculating unit is used for calculating a sub-matching value of each sub-parameter of the investment parameter and the attribute of each property item according to a preset algorithm;

and the second calculating unit is used for calculating the matching value of the investment parameter and the attribute of each house project according to the sub-matching value and a preset algorithm.

16. An electronic device, comprising:

at least one processor; and

a memory coupled to the at least one processor; wherein,

the memory stores a program of instructions executable by the at least one processor, the program of instructions being executable by the at least one processor to cause the at least one processor to:

acquiring an attribute list of all the real estate items;

17. A non-transitory computer-readable storage medium storing computer-executable instructions for causing a computer to perform the method of any one of claims 1-12.