CN111815175B - Five-layer structure XML language interactive application method in nested list form - Google Patents
Five-layer structure XML language interactive application method in nested list form Download PDFInfo
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Abstract
The invention provides a five-layer structure XML language interactive application method in a nested list form, which comprises the following steps: collecting personal information elements of a target applicant and a product element set provided by a target organization; setting a five-layer structure design based on an XML message format based on the risk strategy scene requirement, and performing data interaction on the personal information element and the product element set based on the five-layer structure design to obtain a matching result based on the personal information element and the product element set; and outputting the approval result of the target applicant based on the matching result. By the five-layer structure definition mode of the XML message format, in a risk approval strategy scene, the efficiency of risk management and control is improved conveniently, the risk management and control is reduced, and the user friendliness is improved.
Description
Technical Field
The invention relates to the technical field of risk management approval, in particular to a five-layer structure XML language interactive application method in a nested list form.
Background
Rule deployment and approval system interaction forms of risk management approval policies generally take Java language or Json expression as a main implementation mode. Generally, deployment of examination and approval policy rules is usually considered in the scale of the service amount and is realized based on a Java language hardcode of a risk examination and approval system; or by introducing a decision engine component of the approval system in an interactive mode.
In risk approval policy management, aiming at multiple parameters and thresholds needing to be applied in approval rules, relative boundaries of product elements and risk elements need to be strictly distinguished, a decision engine is used as an authoritative management place of risk rules, and a peripheral system is cautiously prevented from generating potential rule infiltration risks by sharing the risk elements.
In the existing data interaction mode, an interaction message of an XML format file is defined between an approval system and a decision engine, and a univariate management method which can be directly referred to by an approval rule is started according to the variable and value types which are correspondingly transmitted one by one under a specific attribute node.
Based on the most common slightly-four-layer node structure definition, the approval rule can be implemented by writing a rule in which a single variable under a specific attribute node is selected to be applied in a univariate or multivariate combination mode. For example, in implementing an age admission requirement rule for an applicant-specified credit product, the rule may be written as "Admission Condition is met when the applicant's age is within the x-y interval", where the corresponding "age" variable may be obtained from the "applicant personal information" attribute node definition of FIG. 1 above.
However, in the approval process, when a single policy needs more than 1 risk element and has multiple condition definitions, the four-layer structure cannot meet the actual approval business scene requirements; meanwhile, only based on the requirement of the strategy scene, the interactive language is changed or the strategy content mode is changed, so that great challenge is provided for risk service personnel on the management and control capability and the realization capability of the strategy rules, the realization efficiency of risk management and control is reduced, and the user friendliness is greatly reduced.
Disclosure of Invention
The invention provides a five-layer structure XML language interactive application method in a nested list form, which is used for solving the technical problem.
The invention provides a five-layer structure XML language interactive application method in a nested list form, which comprises the following steps:
collecting personal information elements of a target applicant and a product element set provided by a target organization;
setting a five-layer structure design based on an XML message format based on the risk strategy scene requirement, and performing data interaction on the personal information element and the product element set based on the five-layer structure design to obtain a matching result based on the personal information element and the product element set;
and outputting the approval result of the target applicant based on the matching result.
In a possible implementation manner, a five-layer structure design based on an XML message format is set based on a risk policy scenario requirement, wherein the five-layer structure design step includes:
setting a program main node;
setting a secondary product recommendation item based on the program main node;
setting a third-level matching item based on the second-level product recommendation item;
setting four-level condition attribute items based on the three-level matching items;
setting five-level product element items based on the four-level condition attribute items;
and forming a five-layer structure based on the set program main nodes, the secondary product recommendation items, the tertiary matching items, the quaternary condition attribute items and the five-level product element items.
In a possible implementation manner, the setting of the secondary product recommendation item based on the program master node includes:
adding a preset defined weight or grade based on the secondary product recommendation item;
presetting the application judgment attribute of each product in the product element set based on the weight or the grade;
recommending output product information to the user side of the target applicant based on the application judgment attribute, wherein the product information comprises: the product type and the maximum product quantity that can be recommended;
and when the recommendable maximum product quantity is larger than a preset recommendation value, performing round trip recommendation to the user side based on a risk strategy scene.
In a possible implementation manner, the setting of the third-level matching item based on the second-level product recommendation item includes:
setting product conditions, and storing the product conditions in a list form;
extracting a product code of each product in the product element set;
based on the stored product condition and the extracted product code, performing condition judgment on the corresponding product;
based on the condition judgment result and in combination with the application judgment attribute, obtaining a ranking factor of the corresponding product and the corresponding target applicant;
and acquiring the qualification matching degree of the corresponding product and the corresponding target applicant based on the ranking factor.
In a possible implementation manner, the process of setting the four-level condition attribute items based on the three-level matching items includes:
the presets define specific condition attributes associated with the product.
In a possible implementation manner, the setting of the five-level product element item based on the four-level condition attribute item includes:
presetting and defining each element in the characteristic condition attributes related to the product, application attributes of each element and a corresponding parameter range, and constructing an element set;
when the application attribute and the parameter range related to the product to be called are called from the element set, if the calling fails, warning processing is carried out;
otherwise, the calling is successful, and the successfully called application attribute and parameter range are correspondingly displayed with the product to be called.
In a possible implementation manner, the process of outputting the approval result of the target applicant based on the matching result includes:
extracting the personal information elements and the product elements in the product element set which are successfully matched from the matching result, and establishing a mapping relation between the personal information elements and the product elements;
obtaining products in the product element set which are successfully matched, and performing weight sequencing on the successfully matched products;
and outputting the intersection and the difference of the target applicant and the product list provided by the target mechanism to the user side of the target applicant based on the mapping relation and the weight sorting result.
In a possible implementation manner, during the process of performing data interaction on the personal information element and the product element set based on the five-layer structure of the design, the method further includes:
comprehensively verifying the layer structure in the five-layer structure, wherein the comprehensive verification step comprises the following steps:
record product set W ═ Wi,i＝1,2,3,...,n}；
Transmitting the product set into the five-layer structure, and obtaining an output set S ═ Si1,2, 3.., n }, wherein n represents the total number of the second products; w is aiProduct data representing an ith second product in the product set; siRepresenting output parameters corresponding to the ith second product, wherein the second products correspond to the output parameters one by one, and the number of the output parameters in the output set is the same as the total number of the second products;
calculating the matching degree X of the n output parameters and the corresponding preset parametersi；
Wherein q isi1Representing the product element auxiliary factor corresponding to the ith second product; q. q.si2Representing the product performance auxiliary factor corresponding to the ith second product;
if the matching degree is greater than or equal to the preset degree, judging that the five-layer structure is qualified;
otherwise, extracting a first parameter with the matching degree smaller than a preset degree from the n output parameters, and acquiring a set Y to be corrected related to the first parameter as { Y ═ Yj1,2,3, ajRepresenting the product parameters of a second product corresponding to the jth first parameter, defining the second product corresponding to the first parameter as a third product, and enabling m to be less than n;
obtaining the structure parameters of the layer structure in the five-layer structure, importing the structure parameters into a structure attribute model, and obtaining the structure attributes of the layer structure, wherein the layer structure in the five-layer structure comprises: the program master node comprises a first layer structure based on the program master node, a second layer structure based on a secondary product recommendation item, a third layer structure based on a tertiary matching item, a fourth layer structure based on a quaternary condition attribute item and a fifth layer structure based on a fifth product element item;
determining a structure judgment value H of the five-layer structure based on the set to be corrected and the structure attribute;
wherein γ j represents a product weight value of the jth third product; f (g)p) A structure attribute function corresponding to the structure parameter of the p-th layer structure, wherein p is 1,2,3,4, 5; κ 1 represents a conditional element of the first layer structure; σ 1 represents a conditional weight value of the first layer structure; κ 2 represents a conditional element of the second layer structure; σ 2 represents a conditional weight value of the second layer structure; κ 3 represents a conditional element of the third layer structure; σ 3 represents a conditional weight value of the third layer structure; κ 4 represents a conditional element of the fourth layer structure; σ 4 represents a conditional weight value of the fourth layer structure; κ 5 represents a conditional element of the fifth layer structure; σ 5 represents a conditional weight value of the fifth layer structure;
when the structure judgment value H is smaller than a preset judgment value, reconfiguring condition elements of each layer of the five-layer structure;
otherwise, selecting the minimum condition weight value in the condition weight values corresponding to the five-layer structure, and reconfiguring the condition elements of the layer corresponding to the minimum condition weight value.
In a possible implementation manner, after outputting the approval result of the target applicant based on the matching result, the method further includes:
collecting operation actions of a target applicant on the basis of the user end on the approval result, and acquiring operation tracks related to the operation actions when the operation actions are not empty;
detecting position information of the operation track based on a display interface of the user side, wherein the position information comprises: an operation coordinate point, an operation direction, and an operation force of each operation coordinate point;
based on the position information, judging the operation speed of the target applicant based on each operation point of the display interface and the operation distance of operating adjacent operation points, and obtaining a first distance and a first speed;
based on the acquired position information, calling an operation theoretical value from an operation database, and correcting the first distance and the second speed based on the operation theoretical value to obtain a second distance and a second speed;
and calling an operation result related to the operation to be displayed based on a display interface based on the second distance and the second speed.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flowchart of a five-layer XML interactive application method in a nested list format according to an embodiment of the present invention;
fig. 2 is a flow chart of a five-layer structure design in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Because two groups of conditions need to be compared according to a strategy scene, and each of the two groups of condition elements is larger than one, when the intersection or difference of the two groups of conditions is taken as a decision output object, the XML message format of the four-layer structure cannot be met.
Therefore, the present invention is mainly directed to a second type of mode using a decision engine as a component, and is a precondition for data interaction with an approval system (an approval mechanism corresponding to a target mechanism). In this mode, common data interaction types are: using the Json expression; or adopting XML message to carry out interactive definition. The message is defined in an XML format with the best using friendliness for risk management service personnel, has stronger readability and completely supports format definition processing of data by the service personnel.
The invention provides a five-layer structure XML language interactive application method in a nested list form, as shown in figure 1, comprising the following steps:
step 1: collecting personal information elements of a target applicant and a product element set provided by a target organization;
step 2: setting a five-layer structure design based on an XML message format based on the risk strategy scene requirement, and performing data interaction on the personal information element and the product element set based on the five-layer structure design to obtain a matching result based on the personal information element and the product element set;
and step 3: and outputting the approval result of the target applicant based on the matching result.
In this embodiment, the personal information elements are, for example, those including age, sex, region, province, and the like;
in this embodiment, the product element set includes, for example, product investment risk, product type, product open area, and the like.
In this embodiment, the five-layer structure design based on the XML message format is to implement that in a policy scenario of risk approval, a plurality of selectable product contents need to be matched based on application qualification for a client, and ranking of a grade weight is performed on a product item that can be finally recommended.
In this embodiment, data interaction is performed on the personal information element and the product element set based on a five-layer structure, for example, one-to-one matching of corresponding elements is performed, the products that are successfully matched are ranked and ranked according to a grade weight, and an intersection of the applicant qualification and the organization product list is output as a product that can be recommended to a customer, and a difference is output as a product that the customer does not meet the application condition, which is used as a key element for differentiated targeted approval, so that the product that best meets the user is recommended to the user, and the value of the customer is maximized.
In this embodiment, the outputted approval results, for example, user a approved, and the approval results are in accordance with the user application including products a1 and a 2.
Alternatively, user A fails the approval and does not push the product to user A.
The beneficial effects of the above technical scheme are: by the five-layer structure definition mode of the XML message format, in a risk approval strategy scene, the efficiency of risk management and control is improved conveniently, the risk management and control is reduced, and the user friendliness is improved.
The invention provides a five-layer structure XML language interactive application method in a nested list form, as shown in figure 2, a five-layer structure design based on an XML message format is set based on risk strategy scene requirements, wherein the five-layer structure design comprises the following steps:
step 21: setting a program main node;
step 22: setting a secondary product recommendation item based on the program main node;
step 23: setting a third-level matching item based on the second-level product recommendation item;
step 24: setting four-level condition attribute items based on the three-level matching items;
step 25: setting five-level product element items based on the four-level condition attribute items;
step 26: and forming a five-layer structure based on the set program main nodes, the secondary product recommendation items, the tertiary matching items, the quaternary condition attribute items and the five-level product element items.
In this embodiment, the program master node, the secondary product recommendation item, the tertiary matching item, the quaternary condition attribute item, and the quinary product element item are progressive layer by layer.
The main program node may be a trigger node, and the secondary product recommendation item includes, for example: the product grade or weight, the third-level matching item includes, for example, the product code, the reason for passing/rejecting the user, the rejection reason description, and the deviation value of the user and the product, and can determine whether to pass or reject according to the deviation value, the fourth-level condition attribute item can be a condition node, and the fifth-level product element item can include the age, the gender, and the province;
and age-corresponding parameters include, for example: an age interval [18,55] for determining that the user (applicant) passes the verification condition if the age of the user is within the range;
and the parameters corresponding to gender include, for example: sex range, e.g., male, female;
and the parameters corresponding to the provinces include: region 1, region 2, etc.
The beneficial effects of the above technical scheme are: through setting up five structures, be convenient for carry out data interaction, improve interactive validity, provide the basis for improving the efficiency of risk management and control.
The invention provides a five-layer structure XML language interactive application method in a nested list form, which comprises the following steps in the process of setting secondary product recommendation items based on a program main node:
adding a preset defined weight or grade based on the secondary product recommendation item;
presetting the application judgment attribute of each product in the product element set based on the weight or the grade;
recommending output product information to the user side of the target applicant based on the application judgment attribute, wherein the product information comprises: the product type and the maximum product quantity that can be recommended;
and when the recommendable maximum product quantity is larger than a preset recommendation value, performing round trip recommendation to the user side based on a risk strategy scene.
In the embodiment, a secondary product recommendation item is set, a preset defined weight or grade condition is added into the recommendation item, a judgment attribute selection interval applied to each product is preset in advance as the weight or the grade, the maximum product quantity which can be recommended to a client is finally output, the minimum statistical value is limited to 1, and when the minimum statistical value is greater than 1, the round trip matched with product recommendation can be supported in a strategy scene.
The beneficial effects of the above technical scheme are: effective recommendation is facilitated for users, management and control efficiency is further improved, and management and control risks are reduced.
The invention provides a five-layer structure XML language interactive application method in a nested list form, which comprises the following steps of setting a three-level matching item based on a secondary product recommendation item:
setting product conditions, and storing the product conditions in a list form;
extracting a product code of each product in the product element set;
based on the stored product condition and the extracted product code, performing condition judgment on the corresponding product;
based on the condition judgment result and in combination with the application judgment attribute, obtaining a ranking factor of the corresponding product and the corresponding target applicant;
and acquiring the qualification matching degree of the corresponding product and the corresponding target applicant based on the ranking factor.
In this embodiment, the condition corresponding to each product by the third-level matching item is preset in the form of a list as to whether the corresponding matching judgment result of each product code passes "or" reject reason "(the judgment result is reject), and the adopted judgment attribute element is" grade "or" weight ", and is used as a sorting basis for the priority of the qualification matching degree between the product and the customer, so as to facilitate obtaining a sorting factor and further obtain the qualification matching degree.
The beneficial effects of the above technical scheme are: by acquiring the ranking factor and further acquiring the qualification matching degree, the user can be effectively managed and controlled conveniently, the management and control efficiency is improved, and the management and control risk is reduced.
The invention provides a five-layer structure XML language interactive application method in a nested list form, which comprises the following steps in the process of setting four-level condition attribute items based on three-level matching items:
the presets define specific condition attributes associated with the product.
The beneficial effects of the above technical scheme are: the method provides a foundation for subsequently improving the management and control efficiency and reducing the management and control risk, and facilitates subsequent comparison of related elements.
The invention provides a five-layer structure XML language interactive application method in a nested list form, which comprises the following steps of setting five-level product element items based on four-level condition attribute items:
presetting and defining each element in the characteristic condition attributes related to the product, application attributes of each element and a corresponding parameter range, and constructing an element set;
when the application attribute and the parameter range related to the product to be called are called from the element set, if the calling fails, warning processing is carried out;
otherwise, the calling is successful, and the successfully called application attribute and parameter range are correspondingly displayed with the product to be called.
The beneficial effects of the above technical scheme are: through constructing the element set, pertinence comparison and processing are facilitated, effective reminding is facilitated through warning processing, follow-up processing is facilitated to continue through displaying, and then efficiency is improved.
The invention provides a five-layer structure XML language interactive application method in a nested list form, which comprises the following steps of, based on the matching result, outputting the approval result of the target applicant:
extracting the personal information elements and the product elements in the product element set which are successfully matched from the matching result, and establishing a mapping relation between the personal information elements and the product elements;
obtaining products in the product element set which are successfully matched, and performing weight sequencing on the successfully matched products;
and outputting the intersection and the difference of the target applicant and the product list provided by the target mechanism to the user side of the target applicant based on the mapping relation and the weight sorting result.
In this embodiment, the intersection of the condition qualification of the applicant and the organization product list is output as "a product that can be recommended to a customer", the difference is "a product that the customer does not meet the application condition", and the intersection is used as a key element for differentiated oriented approval, so that oriented recommendation is facilitated for a user, and the maximization of the customer value is facilitated to be fully exerted.
In this embodiment, the weight of the product is predefined, and a mapping relationship is established, for example, the user a is associated with the products a1, a2, a3, and the user B is associated with the products a2, a3, a 4.
The beneficial effects of the above technical scheme are: based on the output intersection and difference set, the directional recommendation is conveniently carried out on the user, and the maximization of the client value is conveniently and fully exerted.
The invention provides a nested list form five-layer structure XML language interactive application method, based on the design five-layer structure to the personal information element and product element set data interaction process, also includes:
comprehensively verifying the layer structure in the five-layer structure, wherein the comprehensive verification step comprises the following steps:
record product set W ═ Wi,i＝1,2,3,...,n}；
Transmitting the product set into the five-layer structure, and obtaining an output set S ═ Si1,2, 3.., n }, wherein n represents the total number of the second products; w is aiProduct data representing an ith second product in the product set; siRepresenting output parameters corresponding to the ith second product, wherein the second products correspond to the output parameters one by one, and the number of the output parameters in the output set is the same as the total number of the second products;
calculating the matching degree X of the n output parameters and the corresponding preset parametersi；
Wherein q isi1Representing the product element auxiliary factor corresponding to the ith second product; q. q.si2Indicating the ith second product correspondenceThe product performance accessory factor;
if the matching degree is greater than or equal to the preset degree, judging that the five-layer structure is qualified;
otherwise, extracting a first parameter with the matching degree smaller than a preset degree from the n output parameters, and acquiring a set Y to be corrected related to the first parameter as { Y ═ Yj1,2,3, ajRepresenting the product parameters of a second product corresponding to the jth first parameter, defining the second product corresponding to the first parameter as a third product, and enabling m to be less than n;
obtaining the structure parameters of the layer structure in the five-layer structure, importing the structure parameters into a structure attribute model, and obtaining the structure attributes of the layer structure, wherein the layer structure in the five-layer structure comprises: the program master node comprises a first layer structure based on the program master node, a second layer structure based on a secondary product recommendation item, a third layer structure based on a tertiary matching item, a fourth layer structure based on a quaternary condition attribute item and a fifth layer structure based on a fifth product element item;
determining a structure judgment value H of the five-layer structure based on the set to be corrected and the structure attribute;
wherein, γjRepresents a product weight value for the jth third product; f (g)p) A structure attribute function corresponding to the structure parameter of the p-th layer structure, wherein p is 1,2,3,4, 5; κ 1 represents a conditional element of the first layer structure; σ 1 represents a conditional weight value of the first layer structure; κ 2 represents a conditional element of the second layer structure; σ 2 represents a conditional weight value of the second layer structure; κ 3 represents a conditional element of the third layer structure; σ 3 represents a conditional weight value of the third layer structure; κ 4 represents a conditional element of the fourth layer structure; σ 4 represents a conditional weight value of the fourth layer structure; κ 5 represents a conditional element of the fifth layer structure; σ 5 represents a conditional weight value of the fifth layer structure;
when the structure judgment value H is smaller than a preset judgment value, reconfiguring condition elements of each layer of the five-layer structure;
otherwise, selecting the minimum condition weight value in the condition weight values corresponding to the five-layer structure, and reconfiguring the condition elements of the layer corresponding to the minimum condition weight value.
In this embodiment, the preset value is determined to be preset.
The beneficial effects of the above technical scheme are: adopt five-layer structure to be convenient for reduce the management and control risk, improve management and control efficiency, therefore, verify through every layer structure to in five-layer structure, realize the comprehensive verification to five-layer structure, be convenient for improve the validity of verifying, guarantee the reliability of every layer structure, at first confirm the output set of product set based on five-layer structure, and carry out the matching of output parameter, secondly, through acquireing the third parameter of treating the revising, and based on five-layer structure's structural attribute, calculate five-layer structure relevant structure judgement value, through comparison processing, reconfigure the condition key element in five-layer structure, be convenient for improve five-layer structure's validity, and then effectively improve management and control efficiency, reduce the management and control risk.
The invention provides a five-layer structure XML language interactive application method in a nested list form, which is characterized in that after the result of the examination and approval of the target applicant is output based on the matching result, the method further comprises the following steps:
collecting operation actions of a target applicant on the basis of the user end on the approval result, and acquiring operation tracks related to the operation actions when the operation actions are not empty;
detecting position information of the operation track based on a display interface of the user side, wherein the position information comprises: an operation coordinate point, an operation direction, and an operation force of each operation coordinate point;
based on the position information, judging the operation speed of the target applicant based on each operation point of the display interface and the operation distance of operating adjacent operation points, and obtaining a first distance and a first speed;
based on the acquired position information, calling an operation theoretical value from an operation database, and correcting the first distance and the second speed based on the operation theoretical value to obtain a second distance and a second speed;
and calling an operation result related to the operation to be displayed based on a display interface based on the second distance and the second speed.
In the embodiment, when the approval result is received, the user can check the approval result, and in the checking process, the user can generate an operation action, so that the operation track can be conveniently determined by collecting the operation action;
in this embodiment, since the operation trajectory may be constituted by a frequently clicked operation or a sliding operation, the position information thereof can be effectively acquired.
In this embodiment, the first distance and the first speed are conveniently obtained through the adjacent operation points, and the operation theoretical value is conveniently corrected by obtaining the operation theoretical value from the operation database, so that the display result is conveniently and effectively obtained.
The beneficial effects of the above technical scheme are: the first distance and the first speed are convenient to obtain through the adjacent operation points, the operation theoretical value is convenient to correct through obtaining the operation theoretical value from the operation database, the display result is convenient to effectively obtain, and convenience is provided for an applicant.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (7)
1. A five-layer structure XML language interactive application method in a nested list form is characterized by comprising the following steps:
collecting personal information elements of a target applicant and a product element set provided by a target organization;
setting a five-layer structure design based on an XML message format based on the risk strategy scene requirement, and performing data interaction on the personal information element and the product element set based on the five-layer structure design to obtain a matching result based on the personal information element and the product element set;
outputting an approval result of the target applicant based on the matching result;
wherein, the design of the five-layer structure comprises the following steps:
setting a program main node;
setting a secondary product recommendation item based on the program main node;
setting a third-level matching item based on the second-level product recommendation item;
setting four-level condition attribute items based on the three-level matching items;
setting five-level product element items based on the four-level condition attribute items;
forming a five-layer structure based on the set program main nodes, the secondary product recommendation items, the tertiary matching items, the quaternary condition attribute items and the five-level product element items;
wherein, the process of outputting the approval result of the target applicant based on the matching result comprises the following steps:
extracting the personal information elements and the product elements in the product element set which are successfully matched from the matching result, and establishing a mapping relation between the personal information elements and the product elements;
obtaining products in the product element set which are successfully matched, and performing weight sequencing on the successfully matched products;
and outputting the intersection and the difference of the target applicant and the product list provided by the target mechanism to the user side of the target applicant based on the mapping relation and the weight sorting result.
2. The interactive application method of claim 1, wherein the setting of the secondary product recommendation based on the program master node comprises:
adding a preset defined weight or grade based on the secondary product recommendation item;
presetting the application judgment attribute of each product in the product element set based on the weight or the grade;
recommending output product information to the user side of the target applicant based on the application judgment attribute, wherein the product information comprises: the product type and the maximum product quantity that can be recommended;
and when the recommendable maximum product quantity is larger than a preset recommendation value, performing round trip recommendation to the user side based on a risk strategy scene.
3. The interactive application method of claim 1, wherein the process of setting a tertiary matching item based on the secondary product recommendation item comprises:
setting product conditions, and storing the product conditions in a list form;
extracting a product code of each product in the product element set;
based on the stored product condition and the extracted product code, performing condition judgment on the corresponding product;
based on the condition judgment result and in combination with the application judgment attribute, obtaining a ranking factor of the corresponding product and the corresponding target applicant;
and acquiring the qualification matching degree of the corresponding product and the corresponding target applicant based on the ranking factor.
4. The interactive application method of claim 1, wherein the process of setting the four-level condition attribute items based on the three-level matching items comprises:
the presets define specific condition attributes associated with the product.
5. The interactive application method of claim 1, wherein the process of setting five-level product element items based on the four-level condition attribute items comprises:
presetting and defining each element in specific condition attributes related to a product, application attributes of each element and corresponding parameter ranges, and constructing an element set;
when the application attribute and the parameter range related to the product to be called are called from the element set, if the calling fails, warning processing is carried out;
otherwise, the calling is successful, and the successfully called application attribute and parameter range are correspondingly displayed with the product to be called.
6. The interactive application method of claim 1, wherein in the process of performing data interaction on the personal information element and the product element set based on the five-layer structure of the design, the method further comprises the following steps:
comprehensively verifying the layer structure in the five-layer structure, wherein the comprehensive verification step comprises the following steps:
record product set W ═ Wi,i＝1,2,3,...,n}；
Transmitting the product set into the five-layer structure, and obtaining an output set S ═ Si1,2, 3.., n }, wherein n represents the total number of the second products; w is aiProduct data representing an ith second product in the product set; siRepresenting output parameters corresponding to the ith second product, wherein the second products correspond to the output parameters one by one, and the number of the output parameters in the output set is the same as the total number of the second products;
calculating the matching degree X of the n output parameters and the corresponding preset parametersi；
Wherein q isi1Representing the product element auxiliary factor corresponding to the ith second product; q. q.si2Representing the product performance auxiliary factor corresponding to the ith second product;
if the matching degree is greater than or equal to the preset degree, judging that the five-layer structure is qualified;
otherwise, extracting a first parameter with the matching degree smaller than a preset degree from the n output parameters, and acquiring a set Y to be corrected related to the first parameter as { Y ═ Yj1,2,3, ajRepresents the jth first parameter pairProduct parameters of the corresponding second product, and defining the second product corresponding to the first parameter as a third product, wherein m is less than n;
obtaining the structure parameters of the layer structure in the five-layer structure, importing the structure parameters into a structure attribute model, and obtaining the structure attributes of the layer structure, wherein the layer structure in the five-layer structure comprises: the program master node comprises a first layer structure based on the program master node, a second layer structure based on a secondary product recommendation item, a third layer structure based on a tertiary matching item, a fourth layer structure based on a quaternary condition attribute item and a fifth layer structure based on a fifth product element item;
determining a structure judgment value H of the five-layer structure based on the set to be corrected and the structure attribute;
wherein, γjRepresents a product weight value for the jth third product; f (g)p) A structure attribute function corresponding to the structure parameter of the p-th layer structure, wherein p is 1,2,3,4, 5; κ 1 represents a conditional element of the first layer structure; σ 1 represents a conditional weight value of the first layer structure; κ 2 represents a conditional element of the second layer structure; σ 2 represents a conditional weight value of the second layer structure; κ 3 represents a conditional element of the third layer structure; σ 3 represents a conditional weight value of the third layer structure; κ 4 represents a conditional element of the fourth layer structure; σ 4 represents a conditional weight value of the fourth layer structure; κ 5 represents a conditional element of the fifth layer structure; σ 5 represents a conditional weight value of the fifth layer structure;
when the structure judgment value H is smaller than a preset judgment value, reconfiguring condition elements of each layer of the five-layer structure;
otherwise, selecting the minimum condition weight value in the condition weight values corresponding to the five-layer structure, and reconfiguring the condition elements of the layer corresponding to the minimum condition weight value.
7. The interactive application method according to claim 1, wherein after outputting the approval result of the target applicant based on the matching result, further comprising:
collecting operation actions of a target applicant on the basis of the user end on the approval result, and acquiring operation tracks related to the operation actions when the operation actions are not empty;
detecting position information of the operation track based on a display interface of the user side, wherein the position information comprises: an operation coordinate point, an operation direction, and an operation force of each operation coordinate point;
based on the position information, judging the operation speed of the target applicant based on each operation point of the display interface and the operation distance of operating adjacent operation points, and obtaining a first distance and a first speed;
based on the acquired position information, calling an operation theoretical value from an operation database, and correcting the first distance and the first speed based on the operation theoretical value to acquire a second distance and a second speed;
and calling an operation result related to the operation to be displayed based on a display interface based on the second distance and the second speed.
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