CN113901056A - Interface recommendation method and device and electronic equipment - Google Patents
Interface recommendation method and device and electronic equipment Download PDFInfo
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Abstract
The embodiment of the application discloses an interface recommendation method, an interface recommendation device and electronic equipment, wherein for each interface, the attribute correlation between a target table element and the interface is determined according to each target interface attribute of the interface, the weight of each target interface attribute and the element attribute of the target table element corresponding to the target interface attribute; determining an interface which satisfies the condition with the attribute correlation of the target table element, and generating a first correlation interface list; the first list of related interfaces is displayed for the user to select an interface for binding with the target form element. Based on the method and the device, the interface which meets the condition with the correlation between the target table element and the interface is automatically generated and displayed according to the attribute correlation between the target table element and the interface, so that the automatic recommendation of the interface related to the target table element is realized, the range of the user for searching the interface is reduced, and the difficulty of the user for obtaining the interface is reduced.
Description
Technical Field
The present application relates to the field of software technologies, and in particular, to an interface recommendation method and apparatus, an electronic device, and a storage medium.
Background
An Application Platform as a Service (APaaS) Platform enables a user (i.e. a software developer) to complete the construction of an interactive form of an Application program by dragging, pulling and dragging a component, thereby reducing the technical requirements on the user. After the user constructs the interactive form, the user needs to select a suitable api (application Programming interface) interface (hereinafter referred to as interface) for binding, so as to obtain the form data interaction capability. At present, a user mainly searches according to search keywords/words to obtain a required interface, and the difficulty of user search is increased under the condition that the number and scale of interfaces in an APaaS platform are large, so that the difficulty of obtaining the interface is brought to the user.
Disclosure of Invention
The application aims to provide an interface recommendation method and device, an electronic device and a storage medium, and the method comprises the following technical scheme:
a method of interface recommendation, the method comprising:
for each interface, determining the attribute correlation of the target table element and the interface according to each target interface attribute of the interface, the weight of each target interface attribute and the element attribute of the target table element corresponding to the target interface attribute;
determining an interface which satisfies a condition with the attribute correlation of the target table element, and generating a first correlation interface list;
displaying the first list of related interfaces for a user to select an interface for binding with the target form element.
Preferably, the calculating the attribute correlation between the target form element and the interface according to each target interface attribute of the interface, the weight of each target attribute, and the element attribute corresponding to the target interface attribute includes:
weighting and summing the correlation degrees of each target interface attribute of the interface and the corresponding element attribute to obtain the attribute correlation degree of the target table element and the interface;
the magnitude of the degree of correlation characterizes the attribute correlation of the target form element with the interface.
In the method, preferably, the target interface attribute and the weight of the target interface attribute are determined as follows:
establishing an interface characteristic model by utilizing a regression algorithm based on each interface attribute of the interface of the historical bound form element;
the interface characteristic model is a linear equation with a dependent variable as a prediction interface and an independent variable as each interface attribute of the interface, and the prediction interface is the weighted sum of each interface attribute of the interface;
the target interface attribute is at least part of the interface attribute in the interface feature model.
In the method, preferably, the target interface attribute is an interface attribute whose weight in the interface feature model is greater than a target value.
The above method, preferably, further comprises:
acquiring an interface which satisfies the condition with the attribute correlation of the interface selected by the user, and generating a second correlation interface list;
displaying the second list of relevant interfaces for a user to select an interface for binding with a relevant form element of the target form element.
Preferably, the obtaining of the interface whose correlation with the attribute of the interface selected by the user satisfies the condition includes:
and determining an interface which satisfies the condition with the attribute relevance of the interface selected by the user by utilizing a decision tree based on the attribute of the interface selected by the user and the attributes of other interfaces.
The above method, preferably, further comprises:
acquiring the interfaces in the first relevant interface list from a database;
and caching the acquired interface so that when the user selects the interface from the first related interface list, the selected interface is extracted from the cache region.
An interface recommendation apparatus comprising:
the determining module is used for determining the attribute correlation of the target table element and each interface according to each target interface attribute of the interface, the weight of each target interface attribute and the element attribute of the target table element corresponding to the target interface attribute;
the generation module is used for determining an interface which satisfies the condition with the attribute correlation of the target table element and generating a first correlation interface list;
and the display module is used for displaying the first related interface list so that a user can select an interface used for being bound with the target table element.
An electronic device, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the steps of the interface recommendation method as described in any one of the above.
A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the interface recommendation method according to any one of the preceding claims.
According to the above scheme, for each interface, according to each target interface attribute of the interface, the weight of each target interface attribute, and the element attribute of the target form element corresponding to the target interface attribute, the attribute correlation between the target form element and the interface is determined; determining an interface which satisfies the condition with the attribute correlation of the target table element, and generating a first correlation interface list; the first list of related interfaces is displayed for the user to select an interface for binding with the target form element. Based on the method and the device, the interface which meets the condition with the correlation between the target table element and the interface is automatically generated and displayed according to the attribute correlation between the target table element and the interface, so that the automatic recommendation of the interface related to the target table element is realized, the range of the user for searching the interface is reduced, and the difficulty of the user for obtaining the interface is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a flowchart of an implementation of an interface recommendation method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an interface recommendation device according to an embodiment of the present application;
fig. 3 is an exemplary diagram of a hardware structure block diagram of an electronic device according to an embodiment of the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in other sequences than described or illustrated herein.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without inventive step, are within the scope of the present disclosure.
After a form is built based on an APaaS platform, a user (software developer) needs to select an interface for a form element in the form to bind so as to obtain the form data interaction capability. At present, a user mainly searches according to search keywords/words to screen and match required interfaces, the method depends on the grasping condition of the user on the indexes of the interfaces, a complex expression is required for matching technical parameters, and the difficulty of user search is increased along with the gradual increase of the number scale of the interfaces in an APaaS platform (because the number of the index keywords/words required to be memorized by the user is increased), so that the difficulty is brought to the user for obtaining the interfaces.
There are also some schemes that simplify the path of the user search interface by building an interface classification directory, through a multi-level directory. The method depends on the understanding degree of the user to the interface classification catalogue, and part of interfaces can be divided into a plurality of different catalogs according to different dimensions, so that the confusion of the user in selecting the interfaces is brought.
The present application is proposed to at least partially solve the above technical problems.
As shown in fig. 1, an implementation flowchart of an interface recommendation method provided in an embodiment of the present application may include:
step S101: and for each interface, determining the attribute correlation of the target form element and the interface according to the target interface attribute of the interface, the weight of the target interface attribute and the element attribute of the target form element corresponding to the target interface attribute.
Each interface in the APaaS platform determines some attributes (for convenience of distinction, the attribute of the interface may be referred to as an interface attribute) at the time of creation, for example, a classification of the interface, a resource object related to the interface, an operation type of the interface, and the like.
By way of example, the classification of an interface may include, but is not limited to: an analysis class interface, a workflow class interface, a Data Mdel interface, a query class interface, etc.). As an example, for a query class interface, the attributes of the interface may also include: the structure of the interface request data, the structure of the interface return data, etc.
By way of example, the resource objects involved by the interface may include, but are not limited to: a resource model of interface operations.
By way of example, the operational types of the interface may include, but are not limited to: reading resource information, creating resource information, modifying resource information, deleting resource information and the like.
In the embodiment of the application, for each interface in an interface library of an APaaS platform, a correlation between the interface and an attribute of a target form element (for convenience of distinguishing, the attribute of the form element may be referred to as an element attribute for short) is determined, and specifically, in the determination process, each target interface attribute corresponds to a preset weight, where the weight may be determined by a technician according to experience, or may be obtained by learning an interface of a history bound form element.
The target interface attribute of the interface may be at least part of the attribute of the interface, and in the case that the target interface attribute of the interface is part of the attribute of the interface, the target interface attribute of the interface may be determined by a technician according to experience, or may be determined by learning the interface of the history bound form element.
The target episome can be an episome or a synthetic episome composed of multiple episomes.
A target form element is any one of the form elements specified by the user in the built form.
As an example, the element attribute corresponding to the interface attribute, which is the resource operation type of the interface, may be a form type; the element attributes corresponding to the interface attribute of the interface resource object and parameters may be some attributes (e.g., name, description (type, length of input content; definition of event, etc.) configured for the form by the user.
Step S102: and determining an interface with the attribute correlation of the target table element meeting the condition, and generating a correlation interface list (marked as a first correlation interface list).
That is, each interface in the first list of related interfaces is: an interface whose attribute relevance to the target form element satisfies a condition.
The attribute correlation between any interface (marked as a first interface) and the target form element meets the condition, the matching degree of the first interface and the target form element is high, and the probability that the user selects the first interface to be bound with the target form element is also high.
Step S103: the first list of related interfaces is displayed for the user to select an interface for binding with the target form element.
Displaying the first relevant interface list means recommending the interfaces in the first relevant interface list to the user, so that the user can select the interface used for binding with the target table element in the first relevant interface list.
The first list of related interfaces may be displayed via an interactive window in which a user may select an interface to bind with the target form element.
Optionally, the interactive window may be displayed at a certain position around the form design area of the APaaS platform; alternatively, the first and second electrodes may be,
the interactive window can be displayed above the form design area in a floating mode, and a user can drag the interactive window to change the display position of the interactive window.
According to the interface recommendation method provided by the embodiment of the application, the interface which meets the condition with the target table element correlation is automatically generated and displayed according to the attribute correlation of the target table element and the interface, so that the automatic recommendation of the interface related to the target table element is realized, the range of the user for searching the interface is reduced, and the difficulty of the user for obtaining the interface is reduced.
Based on the application, a user can judge whether an interface matched with the target table element exists in the first related interface list or not by means of interface information, data preview, model structure and other information, if so, the matched interface is selected from the first related interface list to be bound with the target table element, and if not, other interfaces are searched in a database by utilizing a full-text search function or a directory browsing mode provided by an APaaS platform.
In an alternative embodiment, step S101 is executed in response to the interface selection instruction, and based on this, before executing step S101, the method may further include:
an interface selection instruction for the target form element is obtained.
Accordingly, in response to the interface selection instruction, step S101 is executed, namely, for each interface, determining attribute correlation of the target form element and the interface according to the target interface attribute of the interface, the weight of the target interface attribute, and the element attribute of the target form element corresponding to the target interface attribute.
In an optional embodiment, one implementation manner of calculating the attribute correlation between the target form element and the interface according to each target interface attribute of the interface, the weight of each target attribute, and the element attribute corresponding to the target interface attribute may be:
and weighting and summing the correlation degrees of each target interface attribute of the interface and the corresponding element attribute to obtain the attribute correlation degree of the target table element and the interface.
Optionally, the correlation between the target interface attribute and the corresponding element attribute may be calculated by a pre-trained correlation determination model.
Optionally, when there is no element attribute (for convenience of description, denoted as element attribute a) corresponding to the target interface attribute (for convenience of description, denoted as target interface attribute a) in the target table element, the correlation between the target interface attribute a and the corresponding element attribute a is zero, that is, the target table element and the interface are not related in the dimension of the target interface attribute a.
The correlation degree is larger, the correlation degree between the attribute of the target table element and the interface is stronger, and the correlation degree is smaller, and the correlation degree between the attribute of the target table element and the interface is weaker.
Accordingly, the condition that the attribute correlation of the interface and the target form element satisfies may include: the correlation degree of the interface and the attribute of the target form element is larger than the correlation degree threshold value.
As mentioned above, the interface of the history bound form element can be learned to obtain the target interface attribute and the weight of the target interface attribute. The interface of the historically bound form elements refers to an interface bound by the form elements in the forms built by each user in the APaaS platform before the current moment. Based on this, in an optional embodiment, the target interface attribute and the weight of the target interface attribute may be determined by the following method:
based on each interface attribute of the interface of the historical bound form elements, an interface characteristic model is established by using a regression algorithm, the interface characteristic model is a linear equation with a dependent variable as a predicted interface and an independent variable as each interface attribute of the interface, and the predicted interface is the weighted summation of each interface attribute of the interface.
The target interface attributes are at least some of the interface attributes in the feature model of the interface.
When the interface feature model is established by using a regression algorithm, weighted summation of the correlation degree of each interface attribute in the interface feature model and the corresponding element attribute of the bound form element can be performed, and the weight of each interface attribute in the interface feature model is updated by taking the value of the weighted summation as the maximum as a target until the training end condition is reached. Wherein the content of the first and second substances,
the correlation degree between each interface attribute in the interface characteristic model and the element attribute of the bound form element can be obtained by calculation according to the weight of each interface attribute in the interface characteristic model, and specifically comprises the following steps: and for each interface, weighting and summing the correlation degrees of each interface attribute and the corresponding element attribute of the interface to obtain the attribute correlation degree of the target table element and the interface.
And the weight of the relevancy of each interface attribute and the corresponding element attribute is the weight of the interface attribute in the interface feature model.
In an optional embodiment, the target interface attribute is an interface attribute whose weight in the interface feature model is greater than the target value.
That is, in the embodiment of the present application, only the interface attribute having a strong correlation with the form element, that is, the interface attribute having a large influence on the correlation is selected as the target interface attribute, and the target interface attribute is used to determine the interface whose correlation with the attribute of the target form element satisfies the condition.
In an optional embodiment, after obtaining an interface related to an interface attribute selected by a user, the interface selection method provided in the embodiment of the present application may further include:
and obtaining the interface with the attribute correlation of the interface selected by the user meeting the condition, and generating a second correlation interface list.
The interface selected by the user may be an interface selected by the user in the first list of related interfaces or may be an interface retrieved and selected by the user using a retrieval key/word.
After the user selects an interface, the selected interface binds to an form element.
The second list of relevant interfaces is displayed for the user to select an interface for binding with the relevant form element of the target form element.
The related form element of the target form element may refer to a form element that belongs to the same form as the target form element.
In the embodiment of the application, under the condition that the user selects part of the interfaces, the interfaces related to the previously selected interfaces can be automatically recommended to the user according to the interfaces previously selected by the user, so that the efficiency of selecting the interfaces for the related table elements by the user is improved.
In an optional embodiment, after the user triggers the interface selection instruction for the relevant form element, the step of obtaining the interface whose attribute correlation with the interface selected by the user satisfies the condition, and generating the second relevant interface list may be performed.
In an alternative embodiment, after the user triggers the interface selection instruction for the related form element, the interface recommendation method shown in fig. 1 may be further executed to generate the first related interface list. At this time, the first and second related interface lists may be simultaneously displayed. The first and second associated interface lists may be displayed in a unified interactive window or may not be displayed in different interactive windows.
In an optional embodiment, the interface recommendation method provided in the embodiment of the present application may further include:
after the second relevant interface list is generated, obtaining the interfaces in the second relevant interface list from the database;
and caching the acquired interface so that the selected interface is extracted from the cache region when the user selects the interface from the second related interface list, thereby improving the interface recommendation efficiency.
In an optional embodiment, one implementation manner of obtaining the interface whose attribute correlation with the interface selected by the user satisfies the condition may be:
and determining an interface which satisfies the condition with the attribute relevance of the interface selected by the user by utilizing the decision tree based on the attribute of the interface selected by the user and the attributes of other interfaces.
Optionally, when the decision tree is constructed, a classification (decision tree) algorithm may be used to analyze the association relationship between interfaces based on the interface attributes (including but not limited to the interface classification, the resource objects related to the interfaces, and the related information thereof) to construct the decision tree.
In an optional embodiment, the interface selection method provided in the embodiment of the present application may further include:
after the first relevant interface list is generated, acquiring the interfaces in the first relevant interface list from the database;
and caching the acquired interface so that the user can extract the selected interface from the cache region when selecting the interface in the first related interface list, thereby improving the interface recommendation efficiency.
Corresponding to the method embodiment, an embodiment of the present application further provides an interface recommendation device, and a schematic structural diagram of the interface recommendation device provided in the embodiment of the present application is shown in fig. 2, and the interface recommendation device may include:
a determining module 201, a generating module 202 and a displaying module 203; wherein the content of the first and second substances,
the determining module 201 is configured to determine, for each interface, attribute correlations between target tablewares and the interface according to target interface attributes of the interface, weights of the target interface attributes, and element attributes of the target tablewares corresponding to the target interface attributes;
the generating module 202 is configured to determine an interface whose attribute correlation with the target table element satisfies a condition, and generate a first correlation interface list;
the display module 203 is configured to display the first list of related interfaces so that a user can select an interface for binding with the target table element.
According to the interface recommending device provided by the embodiment of the application, the interface which meets the condition with the correlation with the target table element is automatically generated and displayed according to the attribute correlation of the target table element and the interface, so that the automatic recommendation of the interface related to the target table element is realized, the range of searching the interface by a user is reduced, and the difficulty of obtaining the interface by the user is reduced.
In an optional embodiment, the determining module 201 is configured to:
weighting and summing the correlation degrees of each target interface attribute of the interface and the corresponding element attribute to obtain the attribute correlation degree of the target table element and the interface;
the magnitude of the degree of correlation characterizes the attribute correlation of the target form element with the interface.
In an optional embodiment, the interface recommendation apparatus may further include an establishing module, configured to:
establishing an interface characteristic model by utilizing a regression algorithm based on each interface attribute of the interface of the historical bound form element;
the interface characteristic model is a linear equation with a dependent variable as a prediction interface and an independent variable as each interface attribute of the interface, and the prediction interface is the weighted sum of each interface attribute of the interface;
the target interface attribute is at least part of the interface attribute in the interface feature model.
In an optional embodiment, the target interface attribute is an interface attribute whose weight in the interface feature model is greater than a target value.
In an alternative embodiment of the present invention,
the generation module is further to: acquiring an interface which satisfies the condition with the attribute correlation of the interface selected by the user, and generating a second correlation interface list;
the display module is further configured to: displaying the second list of relevant interfaces for a user to select an interface for binding with a relevant form element of the target form element.
In an optional embodiment, the generating module is further configured to:
and determining an interface which satisfies the condition with the attribute relevance of the interface selected by the user by utilizing a decision tree based on the attribute of the interface selected by the user and the attributes of other interfaces.
In an optional embodiment, the method may further include:
the cache module is used for acquiring the interfaces in the first relevant interface list from a database; and caching the acquired interface so that when the user selects the interface from the first related interface list, the selected interface is extracted from the cache region.
Corresponding to the method embodiment, the application also provides an electronic device, such as a terminal, a server and the like. The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as cloud service, a cloud database, cloud computing, a cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN, big data and artificial intelligence platform. The terminal may be a mobile terminal such as a smart phone, a tablet computer, a notebook computer, or a desktop computer, but is not limited thereto. In some embodiments, the terminal or the server may be a node in a distributed system, wherein the distributed system may be a blockchain system, and the blockchain system may be a distributed system formed by connecting a plurality of nodes through a network communication form. Nodes can form a Peer-To-Peer (P2P, Peer To Peer) network, and any type of computing device, such as a server, a terminal, and other electronic devices, can become a node in the blockchain system by joining the Peer-To-Peer network.
An exemplary diagram of a hardware structure block diagram of an electronic device provided in an embodiment of the present application is shown in fig. 3, and may include:
a processor 1, a communication interface 2, a memory 3 and a communication bus 4;
wherein, the processor 1, the communication interface 2 and the memory 3 complete the communication with each other through the communication bus 4;
optionally, the communication interface 2 may be an interface of a communication module, such as an interface of a GSM module;
the processor 1 may be a central processing unit CPU or an application Specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present application.
The memory 3 may comprise a high-speed RAM memory and may also comprise a non-volatile memory, such as at least one disk memory.
The processor 1 is specifically configured to execute the computer program stored in the memory 3, so as to execute the following steps:
for each interface, determining the attribute correlation of the target table element and the interface according to each target interface attribute of the interface, the weight of each target interface attribute and the element attribute of the target table element corresponding to the target interface attribute;
determining an interface which satisfies a condition with the attribute correlation of the target table element, and generating a first correlation interface list;
displaying the first list of related interfaces for a user to select an interface for binding with the target form element.
Alternatively, the detailed functions and extended functions of the computer program may be as described above.
Embodiments of the present application further provide a readable storage medium, where the storage medium may store a computer program adapted to be executed by a processor, where the computer program is configured to:
for each interface, determining the attribute correlation of the target table element and the interface according to each target interface attribute of the interface, the weight of each target interface attribute and the element attribute of the target table element corresponding to the target interface attribute;
determining an interface which satisfies a condition with the attribute correlation of the target table element, and generating a first correlation interface list;
displaying the first list of related interfaces for a user to select an interface for binding with the target form element.
Alternatively, the detailed functions and extended functions of the computer program may be as described above.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
It should be understood that the technical problems can be solved by combining and combining the features of the embodiments from the claims.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of interface recommendation, the method comprising:
for each interface, determining the attribute correlation of the target table element and the interface according to each target interface attribute of the interface, the weight of each target interface attribute and the element attribute of the target table element corresponding to the target interface attribute;
determining an interface which satisfies a condition with the attribute correlation of the target table element, and generating a first correlation interface list;
displaying the first list of related interfaces for a user to select an interface for binding with the target form element.
2. The method of claim 1, wherein calculating the attribute relevance of the target form element to the interface according to the target interface attribute, the weight of the target attribute, and the element attribute corresponding to the target interface attribute comprises:
weighting and summing the correlation degrees of each target interface attribute of the interface and the corresponding element attribute to obtain the attribute correlation degree of the target table element and the interface;
the magnitude of the degree of correlation characterizes the attribute correlation of the target form element with the interface.
3. The method of claim 1, wherein the target interface attribute, and the weight of the target interface attribute, are determined by:
establishing an interface characteristic model by utilizing a regression algorithm based on each interface attribute of the interface of the historical bound form element;
the interface characteristic model is a linear equation with a dependent variable as a prediction interface and an independent variable as each interface attribute of the interface, and the prediction interface is the weighted sum of each interface attribute of the interface;
the target interface attribute is at least part of the interface attribute in the interface feature model.
4. The method of claim 3, wherein the target interface attribute is an interface attribute with a weight in the interface feature model greater than a target value.
5. The method of claim 1, further comprising:
acquiring an interface which satisfies the condition with the attribute correlation of the interface selected by the user, and generating a second correlation interface list;
displaying the second list of relevant interfaces for a user to select an interface for binding with a relevant form element of the target form element.
6. The method of claim 5, the obtaining an interface whose correlation with a property of a user-selected interface satisfies a condition, comprising:
and determining an interface which satisfies the condition with the attribute relevance of the interface selected by the user by utilizing a decision tree based on the attribute of the interface selected by the user and the attributes of other interfaces.
7. The method of claim 1, further comprising:
acquiring the interfaces in the first relevant interface list from a database;
and caching the acquired interface so that when the user selects the interface from the first related interface list, the selected interface is extracted from the cache region.
8. An interface recommendation apparatus comprising:
the determining module is used for determining the attribute correlation of the target table element and each interface according to each target interface attribute of the interface, the weight of each target interface attribute and the element attribute of the target table element corresponding to the target interface attribute;
the generation module is used for determining an interface which satisfies the condition with the attribute correlation of the target table element and generating a first correlation interface list;
and the display module is used for displaying the first related interface list so that a user can select an interface used for being bound with the target table element.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for executing the computer program for carrying out the steps of the interface recommendation method according to any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the interface recommendation method according to any one of claims 1-7.
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| CN115269060A (en) * | 2022-06-15 | 2022-11-01 | 知学云(北京)科技股份有限公司 | Service execution pre-post processing method based on aPaaS platform |
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| CN115269060A (en) * | 2022-06-15 | 2022-11-01 | 知学云(北京)科技股份有限公司 | Service execution pre-post processing method based on aPaaS platform |
| CN115269060B (en) * | 2022-06-15 | 2023-06-20 | 知学云(北京)科技股份有限公司 | Service execution pre-post processing method based on aPaaS platform |
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