CN108255563A - Application Program Interface setting method, apparatus and system - Google Patents

Application Program Interface setting method, apparatus and system Download PDF

Info

Publication number
CN108255563A
CN108255563A CN201810044397.2A CN201810044397A CN108255563A CN 108255563 A CN108255563 A CN 108255563A CN 201810044397 A CN201810044397 A CN 201810044397A CN 108255563 A CN108255563 A CN 108255563A
Authority
CN
China
Prior art keywords
investee
application program
target
history
prediction
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810044397.2A
Other languages
Chinese (zh)
Inventor
徐巍
张向南
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Net Letter Cloud Suit Mdt Infotech Ltd
Original Assignee
Beijing Net Letter Cloud Suit Mdt Infotech Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Net Letter Cloud Suit Mdt Infotech Ltd filed Critical Beijing Net Letter Cloud Suit Mdt Infotech Ltd
Priority to CN201810044397.2A priority Critical patent/CN108255563A/en
Publication of CN108255563A publication Critical patent/CN108255563A/en
Pending legal-status Critical Current

Links

Landscapes

  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

This application provides a kind of Application Program Interface setting method, this method can obtain at least a kind of user data of user, and the user data includes providing business relevant business datum with application program;According at least a kind of user data, qualified target service object is selected in each alternative business object;Since user data can reflect use tendency of the user to various alternative business objects, therefore the use of the qualified target service object that user data is selected is the interested business object of user, the displaying element of the target service object is included on Application Program Interface, user can be facilitated to be selected.In addition, present invention also provides a kind of Application Program Interfaces to set apparatus and system, to ensure the application and realization of the method in practice.

Description

Application Program Interface setting method, apparatus and system
Technical field
This application involves interfaces to set technical field, more specifically, being Application Program Interface setting method, device and being System.
Background technology
Application program can provide multiple business objects, and business object is included in interface, and interface may be displayed on client On end, for user's browsing or the business object of selection interface offer.It is understood that an application program can provide Business object to be multiple, user may be only interested in certain business objects therein, selects its sense emerging in order to facilitate user The business object of interest, needs to choose these business objects from multiple business objects and be illustrated in interface.
Invention content
In view of this, this application provides a kind of Application Program Interface setting methods, a kind of comprising user's sense for setting The interface of the business object of interest, and then user is facilitated to be selected.
In order to achieve the object, the technical solution that the application provides is as follows:
In a first aspect, this application provides a kind of Application Program Interface setting method, including:
At least a kind of user data of user is obtained, the user data is relevant including providing business with application program Business datum;
According at least a kind of user data, the selection target business object in each alternative business object;
The displaying element of the target service object is included on Application Program Interface.
Second aspect, this application provides a kind of Application Program Interfaces to set device, including:
User data obtains module, and for obtaining at least a kind of user data of user, the user data is included with answering There is provided business relevant business datum with program;
Target object business obtains module, for user data at least a kind of according to, in each alternative business object Middle selection target business object;
Interface setup module, for including the displaying element of the target service object in Application Program Interface.
The third aspect, this application provides a kind of Application Program Interfaces to set system, including:
Client, for recording at least a kind of user data that user generates during application program is used, wherein institute User data is stated to include providing business relevant business datum with application program;Periodically by described at least a kind of user data Reach server;And display Application Program Interface;
Server, for user data at least a kind of according to, the selection target business in each alternative business object Object;The displaying element of the target service object is included on Application Program Interface;And by the Application Program Interface It is sent to client.
By above technical scheme it is found that this application provides a kind of Application Program Interface setting method, this method can obtain At least a kind of user data of user is obtained, the user data includes providing business relevant business datum with application program; According at least a kind of user data, qualified target service object is selected in each alternative business object;Due to User data can reflect use tendency of the user to various alternative business objects, therefore the symbol selected using user data The target service object of conjunction condition is the interested business object of user, and the displaying element of the target service object is included On Application Program Interface, user can be facilitated to be selected.
Description of the drawings
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or it will show below There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this The embodiment of application, for those of ordinary skill in the art, without creative efforts, can also basis The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow chart of Application Program Interface setting method that the application provides;
Fig. 2 is another flow chart of Application Program Interface setting method that the application provides;
Fig. 3 is a kind of structure diagram that the Application Program Interface that the application provides sets device;
Fig. 4 is a kind of structure diagram that the Application Program Interface that the application provides sets system.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, the technical solution in the embodiment of the present application is carried out clear, complete Site preparation describes, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on Embodiment in the application, those of ordinary skill in the art are obtained every other without making creative work Embodiment shall fall in the protection scope of this application.
Its interested business object is selected in order to facilitate user, this application provides a kind of Application Program Interface setting sides Method, the interested business object of user can be arranged on interface by this method, so that user is selected.
See Fig. 1, it illustrates a kind of flow for the Application Program Interface setting method that the application provides, which can have Body includes step S101~S103.
S101:At least a kind of user data of user is obtained, user data is related including providing business to application program Business datum.
Wherein, user data is the business datum that user generates in the business that application program is used to be provided, for example, In investment type application, the business that is provided, which includes, to be transferred to assets, produces assets, certain investment targets are browsed, are invested Asset data, browsing investment target data, investment data etc. can be included Deng, business datum.
By taking investment type is applied as an example, the user data of acquisition includes any type or multiclass in following several classes:The throwing of prediction Provide target risk factor, history accesses investee;Wherein, the investment target risk factor of prediction is used to represent user in future Some time point is to the risk tolerance of investee;History accesses investee for representing the investment that user once accessed Object.
It should be noted that the investment behavior of user has certain risk factor, investment target is referred to as investing Object, each investment target have the risk factor of itself.In order to recommend investee to user, need to predict the investment of user Target risk factor, according to the investment target risk factor of prediction, selection, which meets, in various investment targets invests target risk The investment target of coefficient.In addition, history, which accesses investee, can represent tendency degree of the user to investment target, the parameter It can be used to determine the investment target recommended for user.
S102:According at least a kind of user data, the selection target business object in each alternative business object.
Wherein, user data can represent interest level of the user to business object, therefore use is according to number of users According to qualified business object can be selected in multiple alternative business objects as target service object, wherein eligible The interested business object of object, that is, user.
S103:The displaying element of target service object is included on Application Program Interface.
Wherein, the displaying element of target service object is obtained, displaying element can include but is not limited in following items It is any one or more:Access address, explanatory note, caption, video specification etc..Target service object is felt for user The business object of interest is included the displaying element of target service object on Application Program Interface, user to be facilitated to be selected It selects.
By above technical scheme it is found that this application provides a kind of Application Program Interface setting method, this method can obtain At least a kind of user data of user is obtained, user data includes providing business relevant business datum with application program;According to At least a kind of user data, selects qualified target service object in each alternative business object;Due to user data It can reflect use tendency of the user to various alternative business objects, therefore be selected using user data qualified Target service object is the interested business object of user, and the displaying element of target service object is included in Application Program Interface On, user can be facilitated to be selected.
Below by taking investment type is applied as an example, the technical solution provided the application is described in detail.
See Fig. 2, it illustrates another Application Program Interface setting method that the application provides, this method can include step Rapid S201~S206.
S201:At least a kind of user data of user is obtained, user data includes any type or multiclass in following several classes: The investment target risk factor of prediction, history access investee.
Wherein, the investment target risk factor of prediction is used to represent wind of the user at some following time point to investee Dangerous ability to bear;History accesses investee for representing the investee that user once accessed.
Illustrate how that obtaining history accesses investee first.History accesses object and can be obtained from the operation behavior of user .Specifically, the operation behavior for the investee that user provides application program can be monitored, determines to go through according to operation behavior History accesses investee.
In one example, operation behavior includes the browsing duration to investee, and then browsing duration is more than centainly The investee of duration accesses investee as history.Alternatively, in another example, operation behavior is included to investee Whether invested, investee is accessed using the object invested as history.Alternatively, in yet another example, operation row It is to include access situation of multiple users to investee, the conversion ratio of investee is determined according to access situation, by conversion ratio Investee higher than certain threshold value is determined as history access investee.For example, the operation behavior of user includes:Browsing is first Page-browsing investee list-browsing investee details-investment success, it is assumed that the operation occurs respectively for 5 users, still One-man completes investment behavior to the investee, and the conversion ratio of the investee is 20%.
Prediction investment target risk factor is illustrated how first.In one example, the prediction of target risk factor is invested Mode includes the following steps A1~A3.
A1:According to history investment amount and the ratio of history total amount and the risk factor of history investee, calculate History venture evaluation coefficient.
It should be noted that the venture evaluation coefficient of an investment behavior can be by:Investment amount and total amount What ratio and the risk factor of investee calculated.Therefore, the venture evaluation coefficient of history investment behavior can be with Referred to as history venture evaluation coefficient, the coefficient can be by:History investment amount and the ratio and history of history total amount The risk factor of investee calculates.
Specifically calculation formula can be:History venture evaluation coefficient=(history investment amount/history total amount) * The risk factor of history investee.Wherein, each investee has preset risk factor.
Therefore, for the investment behavior occurred in the phase of history time, institute's investment amount can be obtained, investment behavior occurs When total amount and the object invested risk factor, and then history can be calculated using above-mentioned calculation formula The venture evaluation coefficient of investment behavior.
For example, investment behavior twice has occurred in the phase of history time, the investment amount of certain investment behavior is 1000, is thrown Total amount during money behavior is 5000, and the risk factor for the object invested is 0.5, then the investment wind of the secondary history investment behavior Dangerous metewand=(1000/5000) * 0.5=0.1.
A2:According to the weight coefficient that history venture evaluation coefficient and history are invested, prediction venture evaluation system Number.
It should be noted that the weight coefficient of history investment is that the time point invested with history is relevant.Specifically, according to The time point setting weight coefficient of history investment, closes on the investment behavior of current point in time, the weight coefficient of setting is higher. The reason is that in the investment behavior of user, recent investment behavior referential is higher.
For each history investment behavior, the weight coefficient of history investment is obtained, and then each history can be invested and gone The weight coefficient invested for corresponding history venture evaluation coefficient and corresponding history is weighted summation, so as to measure in advance To the venture evaluation coefficient of the user.
Specifically calculation formula is:The venture evaluation coefficient of prediction=∑ history venture evaluation coefficient * history The weight coefficient of investment.
For example, history venture evaluation coefficient includes two, and respectively 0.1 and 0.2, the weight of corresponding history investment Coefficient is respectively 0.3 and 0.5, then can calculate venture evaluation coefficient=0.1*0.3+0.2*0.5=0.13 of prediction.
A3:The future investments amount of money of prediction and the following total amount of prediction are obtained, and according to the future investments amount of money of prediction The venture evaluation coefficient of ratio and prediction between the following total amount of prediction, prediction investment target risk factor.
Wherein, this step needs to obtain the investment amount and total gold at the time point at one time point of future of prediction first Volume.Specifically, it can predict the user when one section following according to the user in history fund flow situation interior for a period of time The total amount of the interior amount of money that may be invested and user in investment.
A kind of specific implementation can, according to the fund flow situation of history, determine fund flow feature;And root According to fund flow feature, investment amount and total amount within following a period of time are predicted.
For example, user be once transferred to January 15 fund, be transferred within 15 days 2 months fund, March 15 was transferred to fund, to history provide Gold operation study and predict that user's funds flow obtains, the user may April 15 occur fund flow into.Meanwhile every time The fund being transferred to is 1000 yuan, then the fund that may be transferred on April 15 is also 1000 yuan.
Prediction further with regards to investment amount can calculate the ratio that the amount of money that history is invested every time accounts for total amount, comprehensive It closes these ratio calculations and obtains the ratio of a prediction, according to the ratio of prediction and total gold at some following time point of user Volume predicts the investment amount of user.Wherein, the mode of comprehensive each ratio can be calculated the mode of average value or may be used also To be other modes.
It further, can be according to prediction after the future investments amount of money and the following total amount of prediction predicted The future investments amount of money and prediction following total amount between ratio and prediction venture evaluation coefficient, prediction throw Provide target risk factor.
Specifically calculation formula is:The venture evaluation coefficient of investment target risk factor=prediction of prediction/(prediction The future investments amount of money/prediction following total amount).For example, the venture evaluation coefficient of prediction is 0.13, the future of prediction Investment amount is 2000, and the following total amount of prediction is 10000, then investment target risk factor=0.13/ (2000/ predicted 10000)=0.65.
S202:The risk factor of each alternative investee is obtained, according to the investment target risk factor of prediction, each The alternative investee that risk of selection coefficient is consistent with the investment target risk factor predicted in alternative investee.
Wherein, each alternative investee has corresponding risk factor, obtains the wind of each alternative investee Dangerous coefficient, it should be noted that the risk factor of alternative investee may be a value range, be consistent in selection alternative During investee, it can be determined that the investment target risk factor of prediction is in the risk factor of which or multiple alternative investees In the range of, and then select the alternative investee.
For example, the risk factor of certain alternative investee is (0.2,0.7), the investment target risk factor of prediction is 0.65,0.65 in (0.2,0.7), then can select the alternative investee.
S203:If the alternative investee of selection is included in history and accesses in investee, by the alternative investment of selection Object is determined as target investee.
Wherein, step S201 can obtain history and access investee, and history accesses investee can be to a certain degree On represent interest level of the user to investee, in addition step S202, which can be selected, meets customer investment risk ability Alternative investee, therefore, it is necessary to combine both the alternative investee for judging to select whether can as recommend Target investee.
Specifically, it can be determined that whether the alternative investee of selection, which is included in history, accesses in investee, if so, The alternative investee of selection is determined as target investee, this mode can improve recommended mesh to a certain extent The degree of agreement between investee and user demand is marked, and then improves the accuracy recommended.
S204:If target investee includes multiple, it is determined that each target investee accesses investee with history Correlation degree.
Wherein, if target investee include it is multiple, need multiple target investees according to certain arrangement side Formula is arranged.In order to determine arrangement mode, it is thus necessary to determine that each target investee accesses being associated with for investee with history Degree.
Specifically, can with according to whether investment, browsing duration etc. because of usually determining correlation degree.If such as target investment pair As if the history invested accesses investee, then correlation degree is higher.If target investee accesses in history and invests It is not invested in object, then browses that duration is higher, then correlation degree is higher.
S205:According to correlation degree, row of the displaying element of each target investee on Application Program Interface is determined Row mode.
It in order to effectively be recommended, needs to carry out the target investee for more meeting user demand more preferential recommendation, tool Body, associated program is higher, then more user is facilitated to be checked on arrangement mode.For example, correlation degree is higher, then using journey The arrangement at sequence interface is more forward.
S206:According to arrangement mode, the displaying element of target investee is illustrated on Application Program Interface.
It should be noted that in relation to showing that the explanation of element may refer to above description, do not repeat herein.
By above technical scheme it is found that being set this application provides a kind of with investment type using relevant Application Program Interface Method, this method can recommend relevant investee, by the investment pair of recommendation according to the history investment behavior of user for user As being shown in interface according to certain arrangement mode, so that user is checked.
The Application Program Interface setting device that the application provides is illustrated below.
See Fig. 3, it is specific to wrap it illustrates a kind of structural representation of Application Program Interface setting device that the application provides It includes:User data obtains module 301, target object business obtains module 302 and interface setup module 303.
User data obtains module 301, and for obtaining at least a kind of user data of user, user data includes and application Program provides business relevant business datum;
Target object business obtains module 302, at least a kind of user data of basis, in each alternative business object Selection target business object;
Interface setup module 303, for including the displaying element of target service object in Application Program Interface.
In one implementation, application program is investment type application, then the user data obtained is included in following several classes Any type or multiclass:The investment target risk factor of prediction, history access investee;
Wherein, the investment target risk factor of prediction is used to represent wind of the user at some following time point to investee Dangerous ability to bear;History accesses investee for representing the investee that user once accessed.
In one implementation, user data obtains module and includes:
Alternative investee obtains submodule, for obtaining the risk factor of each alternative investee, according to prediction Target risk factor is invested, risk of selection coefficient is consistent with the investment target risk factor predicted in each alternative investee The alternative investee closed;
Target investee obtains module, if the alternative investee for selection is included in history access investee In, then the alternative investee of selection is determined as target investee.
In one implementation, alternative investee obtains submodule target investee including multiple;
Then interface setup module includes:
Correlation degree determination sub-module, for determining that each target investee and history accessed investee is associated with journey Degree;
Arrangement mode determination sub-module, for according to correlation degree, determining that the displaying element of each target investee exists Arrangement mode on Application Program Interface;
Interface sets submodule, for according to arrangement mode, the displaying element of target investee to be illustrated in using journey On sequence interface.
In one implementation, Application Program Interface setting device further includes:Target risk factor prediction module, is used for Prediction investment target risk factor;
Wherein, target risk factor prediction module includes:
History venture evaluation coefficient computational submodule, for the ratio according to history investment amount and history total amount Value and the risk factor of history investee, calculate history venture evaluation coefficient;
Venture evaluation coefficient prediction submodule, for what is invested according to history venture evaluation coefficient and history Weight coefficient predicts venture evaluation coefficient;
Target risk factor prediction submodule is invested, for obtaining the future of the future investments amount of money of prediction and prediction total gold Volume, and commented according to the investment risk of the ratio between the future investments amount of money of prediction and the following total amount of prediction and prediction Estimate coefficient, prediction investment target risk factor.
In one implementation, Application Program Interface setting device further includes:Amount of money prediction module, for according to history Fund flow situation, determine fund flow feature;And according to fund flow feature, predict the throwing within following a period of time Capital amount and total amount.
In addition, present invention also provides a kind of Application Program Interfaces to set system, as shown in figure 4, the system can include: Client 401 and server 402.
Client 401, for recording at least a kind of user data that user generates during application program is used, wherein User data includes providing business relevant business datum with application program;Periodically at least a kind of user data upload is extremely taken Business device;And display Application Program Interface.
Server 402, at least a kind of user data of basis, the selection target business pair in each alternative business object As;The displaying element of target service object is included on Application Program Interface;And Application Program Interface is sent to client End.
It should be noted that the specific implementation of 402 function of client 401 and server may refer to above description, It does not repeat herein.
It should be noted that each embodiment in this specification is described by the way of progressive, each embodiment weight Point explanation is all difference from other examples, and just to refer each other for identical similar part between each embodiment.
It should also be noted that, herein, relational terms such as first and second and the like are used merely to one Entity or operation are distinguished with another entity or operation, without necessarily requiring or implying between these entities or operation There are any actual relationship or orders.Moreover, term " comprising ", "comprising" or its any other variant are intended to contain Lid non-exclusive inclusion, so that process, method, article or equipment including a series of elements not only will including those Element, but also including other elements that are not explicitly listed or further include as this process, method, article or equipment Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that Also there are other identical elements in process, method, article or equipment including above-mentioned element.
The foregoing description of the disclosed embodiments enables professional and technical personnel in the field to realize or using the application. A variety of modifications of these embodiments will be apparent for those skilled in the art, it is as defined herein General Principle can in other embodiments be realized in the case where not departing from spirit herein or range.Therefore, the application The embodiments shown herein is not intended to be limited to, and is to fit to and the principles and novel features disclosed herein phase one The most wide range caused.

Claims (13)

1. a kind of Application Program Interface setting method, which is characterized in that including:
At least a kind of user data of user is obtained, the user data includes providing business relevant business with application program Data;
According at least a kind of user data, the selection target business object in each alternative business object;
The displaying element of the target service object is included on Application Program Interface.
2. Application Program Interface setting method according to claim 1, which is characterized in that the application program is investment type Using the user data then obtained includes any type or multiclass in following several classes:The investment target risk factor of prediction, history Access investee;
Wherein, the investment target risk factor of prediction is used to represent that user holds the risk of investee at some following time point By ability;History accesses investee for representing the investee that user once accessed.
3. Application Program Interface setting method according to claim 2, which is characterized in that at least a kind of described in the basis User data, the selection target business object in each alternative business object, including:
The risk factor of each alternative investee is obtained, according to the investment target risk factor of prediction, in each alternative investment The alternative investee that risk of selection coefficient is consistent with the investment target risk factor predicted in object;
If the alternative investee of selection is included in history and accesses in investee, the alternative investee of selection is determined as Target investee.
4. Application Program Interface setting method according to claim 3, which is characterized in that target investee includes more It is a;
Then the displaying element by the target service object is included on Application Program Interface, including:
Determine that each target investee accesses the correlation degree of investee with history;
According to correlation degree, arrangement mode of the displaying element of each target investee on Application Program Interface is determined;
According to the arrangement mode, the displaying element of target investee is illustrated on Application Program Interface.
5. Application Program Interface setting method according to claim 2, which is characterized in that the investment target risk factor Prediction mode include:
According to history investment amount and the ratio of history total amount and the risk factor of history investee, calculate history and throw Provide risk assessment coefficient;
According to the weight coefficient that history venture evaluation coefficient and history are invested, venture evaluation coefficient is predicted;
Obtain the future investments amount of money of prediction and the following total amount of prediction, and the future investments amount of money according to prediction and prediction The venture evaluation coefficient of ratio and prediction between following total amount, prediction investment target risk factor.
6. Application Program Interface setting method according to claim 5, which is characterized in that the future investments amount of money and institute The prediction mode for stating following total amount includes:
According to the fund flow situation of history, fund flow feature is determined;
According to fund flow feature, investment amount and total amount within following a period of time are predicted.
7. a kind of Application Program Interface sets device, which is characterized in that including:
User data obtains module, for obtaining at least a kind of user data of user, the user data include with using journey Sequence provides business relevant business datum;
Target object business obtains module, for user data at least a kind of according to, is selected in each alternative business object Select target service object;
Interface setup module, for including the displaying element of the target service object in Application Program Interface.
8. Application Program Interface according to claim 7 sets device, which is characterized in that the application program is investment type Using the user data then obtained includes any type or multiclass in following several classes:The investment target risk factor of prediction, history Access investee;
Wherein, the investment target risk factor of prediction is used to represent that user holds the risk of investee at some following time point By ability;History accesses investee for representing the investee that user once accessed.
9. Application Program Interface according to claim 8 sets device, which is characterized in that the user data obtains module Including:
Alternative investee obtains submodule, for obtaining the risk factor of each alternative investee, according to the investment of prediction Target risk factor, risk of selection coefficient is consistent with the investment target risk factor predicted in each alternative investee Alternative investee;
Target investee obtains module, if the alternative investee for selection is included in history access investee, The alternative investee of selection is determined as target investee.
10. Application Program Interface according to claim 9 sets device, which is characterized in that alternative investee obtains son Module objectives investee includes multiple;
Then the interface setup module includes:
Correlation degree determination sub-module accesses the correlation degree of investee for determining each target investee with history;
Arrangement mode determination sub-module, for according to correlation degree, determining that the displaying element of each target investee is being applied Arrangement mode on program interface;
Interface sets submodule, for according to the arrangement mode, the displaying element of target investee to be illustrated in using journey On sequence interface.
11. Application Program Interface according to claim 8 sets device, which is characterized in that further includes:Target risk factor Prediction module invests target risk factor for predicting;
Wherein, the target risk factor prediction module includes:
History venture evaluation coefficient computational submodule, for according to history investment amount and history total amount ratio, with And the risk factor of history investee, calculate history venture evaluation coefficient;
Venture evaluation coefficient prediction submodule, for the weight according to history venture evaluation coefficient and history investment Coefficient predicts venture evaluation coefficient;
Target risk factor prediction submodule is invested, for obtaining the following total amount of the future investments amount of money of prediction and prediction, And according to the ratio between the future investments amount of money of prediction and the following total amount of prediction and the venture evaluation system of prediction Number, prediction investment target risk factor.
12. Application Program Interface according to claim 11 sets device, which is characterized in that further includes:The amount of money predicts mould Block for the fund flow situation according to history, determines fund flow feature;And it according to fund flow feature, predicts not Carry out the investment amount and total amount in a period of time.
13. a kind of Application Program Interface sets system, which is characterized in that including:
Client, for recording at least a kind of user data that user generates during application program is used, wherein the use User data includes providing business relevant business datum with application program;Regular user data upload at least a kind of by described in is extremely Server;And display Application Program Interface;
Server, for user data at least a kind of according to, the selection target business object in each alternative business object; The displaying element of the target service object is included on Application Program Interface;And the Application Program Interface is sent to Client.
CN201810044397.2A 2018-01-17 2018-01-17 Application Program Interface setting method, apparatus and system Pending CN108255563A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810044397.2A CN108255563A (en) 2018-01-17 2018-01-17 Application Program Interface setting method, apparatus and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810044397.2A CN108255563A (en) 2018-01-17 2018-01-17 Application Program Interface setting method, apparatus and system

Publications (1)

Publication Number Publication Date
CN108255563A true CN108255563A (en) 2018-07-06

Family

ID=62726700

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810044397.2A Pending CN108255563A (en) 2018-01-17 2018-01-17 Application Program Interface setting method, apparatus and system

Country Status (1)

Country Link
CN (1) CN108255563A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109544096A (en) * 2018-10-18 2019-03-29 国网福建省电力有限公司 Low pressure industry based on artificial intelligence expands business handling method and device on line
CN110990103A (en) * 2019-12-03 2020-04-10 深圳集智数字科技有限公司 Interface display method, device, equipment and storage medium

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107436866A (en) * 2016-05-25 2017-12-05 阿里巴巴集团控股有限公司 The recommendation method and device of finance product

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107436866A (en) * 2016-05-25 2017-12-05 阿里巴巴集团控股有限公司 The recommendation method and device of finance product

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109544096A (en) * 2018-10-18 2019-03-29 国网福建省电力有限公司 Low pressure industry based on artificial intelligence expands business handling method and device on line
CN110990103A (en) * 2019-12-03 2020-04-10 深圳集智数字科技有限公司 Interface display method, device, equipment and storage medium
CN110990103B (en) * 2019-12-03 2020-11-27 深圳集智数字科技有限公司 Interface display method, device, equipment and storage medium

Similar Documents

Publication Publication Date Title
US8326722B2 (en) Estimating risk of a portfolio of financial investments
CN110334816B (en) Industrial equipment detection method, device, equipment and readable storage medium
CN109684947A (en) Mark quality control method, device, computer equipment and storage medium
CN109034505A (en) Metering table demand on-line prediction method and terminal device
EP1285374A1 (en) Method of business analysis
EP2704086A1 (en) Marketing campaign management system
Singh et al. Efficient water utilities: use of performance indicator system and data envelopment analysis
CN108255563A (en) Application Program Interface setting method, apparatus and system
CN113076416A (en) Information heat evaluation method and device and electronic equipment
CN104866922A (en) User off-network prediction method and apparatus
CN110992135A (en) Risk identification method and device, electronic equipment and storage medium
CN108268357A (en) real-time data processing method and device
CN106557842A (en) The method and device of prediction K lines
CN107480703B (en) Transaction fault detection method and device
CN107844496A (en) Statistical information output intent and device
CN116384680A (en) Visual monitoring method, device and equipment for research and development quality and readable storage medium
KR101566601B1 (en) Risk management device
Stocchi et al. A new measure of consideration set size: The average number of salient brands
CN113987034A (en) Information display method and device, electronic equipment and readable storage medium
CN104053024A (en) Short-period video-on-demand volume prediction system based on small number of data
CN115759733B (en) User default risk determination method, device, medium and equipment based on business event
CN104050595A (en) Method and device for selecting flow supply according to quality of flow suppliers
US20080140584A1 (en) Estimating expected multi-period performance of discrete-period rules-based dynamic investments
AU2015202430B2 (en) Marketing campaign management system
Wang et al. Discussion of ‘On studying extreme values and systematic risks with nonlinear time series models and tail dependence measures’

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20180706

RJ01 Rejection of invention patent application after publication