CN112528616A - Business form generation method and device, electronic equipment and computer storage medium - Google Patents

Business form generation method and device, electronic equipment and computer storage medium Download PDF

Info

Publication number
CN112528616A
CN112528616A CN202011502175.4A CN202011502175A CN112528616A CN 112528616 A CN112528616 A CN 112528616A CN 202011502175 A CN202011502175 A CN 202011502175A CN 112528616 A CN112528616 A CN 112528616A
Authority
CN
China
Prior art keywords
service
data
scene
check
rendering
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.)
Granted
Application number
CN202011502175.4A
Other languages
Chinese (zh)
Other versions
CN112528616B (en
Inventor
孙怡卉
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.)
Ping An Bank Co Ltd
Original Assignee
Ping An Bank Co 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 Ping An Bank Co Ltd filed Critical Ping An Bank Co Ltd
Priority to CN202011502175.4A priority Critical patent/CN112528616B/en
Publication of CN112528616A publication Critical patent/CN112528616A/en
Application granted granted Critical
Publication of CN112528616B publication Critical patent/CN112528616B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/10Text processing
    • G06F40/166Editing, e.g. inserting or deleting
    • G06F40/183Tabulation, i.e. one-dimensional positioning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/13File access structures, e.g. distributed indices
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/906Clustering; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/10Text processing
    • G06F40/12Use of codes for handling textual entities
    • G06F40/14Tree-structured documents
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/237Lexical tools
    • G06F40/242Dictionaries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/279Recognition of textual entities

Abstract

The invention relates to a data processing technology, and discloses a business form generation method, which comprises the following steps: classifying the service scenes of the acquired service data set to obtain a plurality of service scene data; constructing an index file and a container file; globally checking the plurality of service scene data according to the index file to obtain a plurality of scene check data; performing field configuration and form packaging on the scene verification data according to the container file to obtain a plurality of configuration forms; performing form rendering on the plurality of configuration forms according to the service scene to obtain a plurality of rendering forms; and performing combined rendering on the plurality of rendering forms to obtain a service form of the service data set. In addition, the invention also relates to a block chain technology, and the service data set can be stored in a node of the block chain. The invention also provides a business form generation device, electronic equipment and a computer readable storage medium. The invention can solve the problem of low accuracy of the generation of the business form.

Description

Business form generation method and device, electronic equipment and computer storage medium
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for generating a business form, an electronic device, and a computer-readable storage medium.
Background
With the increase of user demands, companies and enterprises provide more and more abundant services, but a large amount of services generate massive service data, and the storage and recording of the service data can bring many benefits to the development of the companies or the enterprises.
At present, most of the methods for storing and recording service data are to fill the service data into a pre-constructed form template to generate a service form for recording the service data, thereby realizing the storage of the service data. However, the business data generated by different businesses has a large difference, so that the content of the business form generated by using the template filling mode is not accurate, and the information contained in the business data cannot be accurately recorded. Therefore, how to improve the accuracy of generating the business form becomes a problem to be solved urgently.
Disclosure of Invention
The invention provides a method and a device for generating a service form and a computer readable storage medium, and mainly aims to solve the problem of low accuracy of the generation of the service form.
In order to achieve the above object, a method for generating a service form provided by the present invention includes:
acquiring a service data set, and performing service scene classification on the service data set to obtain a plurality of service scene data;
constructing an index file and a container file by using a pre-constructed user interface asymptotic framework;
performing global check on the plurality of service scene data according to the index file to obtain a plurality of scene check data;
performing field configuration and form packaging on the scene verification data according to the container file to obtain a plurality of configuration forms;
performing form rendering on the plurality of configuration forms according to the service scene to obtain a plurality of rendering forms;
and performing combined rendering on the rendering forms to obtain the service forms of the service data set.
Optionally, the classifying the service data set into service scenes to obtain a plurality of service scene data includes:
randomly selecting a preset amount of service data from the service data set as a plurality of cluster center data;
respectively calculating the distances between the unselected service data in the service data set and the plurality of cluster center data;
and sequentially selecting target service data and cluster center data to be collected from the unselected service data to collect until all the unselected service data are collected, wherein the cluster center data to be collected is the cluster center data with the minimum distance from the target service data in the plurality of cluster center data.
Optionally, the constructing the index file and the container file by using a pre-constructed user interface progressive framework includes:
performing field segmentation on each service scene data in the plurality of service scene data to obtain a plurality of segmented fields;
extracting the packaging parameters of each field in the plurality of divided fields;
creating the index file using the user interface progressive frame and the plurality of split fields;
creating the container file using the user interface progressive frame and the packaging parameters.
Optionally, the field segmentation is performed on each service scene data in the plurality of service scene data to obtain a plurality of segmented fields, and the method includes:
performing field splitting processing on each service scene data in the plurality of service scene data to obtain an initial field set;
and deleting useless fields from the initial field set to obtain a plurality of divided fields.
Optionally, the performing global check on the plurality of service scene data according to the index file to obtain a plurality of scene check data includes:
acquiring a check item, wherein the check item comprises check conditions of a plurality of different service scenes;
and carrying out global check on the plurality of service scene data according to the check condition to obtain a plurality of scene check data.
Optionally, the performing field configuration and form packaging on the plurality of scene verification data according to the container file to obtain a plurality of configuration forms includes:
determining field categories of the plurality of scene check data;
analyzing the container file to obtain a field configuration rule and an encapsulation rule corresponding to the field type;
configuring the scene verification data according to the field configuration rule to obtain a plurality of configuration fields;
and performing form packaging on the plurality of configuration fields according to the packaging rule to obtain a plurality of configuration forms.
Optionally, the determining the field types of the plurality of scene check data includes:
sequentially selecting target check fields from the plurality of scene check data;
calculating a difference value between the field type of the target check field and a preset standard type;
and when the difference value is smaller than a preset difference threshold value, determining the field type of the target check field as a preset standard type.
In order to solve the above problem, the present invention further provides a device for generating a business form, where the device includes:
the scene classification module is used for acquiring a service data set and performing service scene classification on the service data set to obtain a plurality of service scene data;
the file construction module is used for constructing an index file and a container file by utilizing a pre-constructed user interface asymptotic framework;
the global check module is used for carrying out global check on the plurality of service scene data according to the index file to obtain a plurality of scene check data;
the configuration packaging module is used for carrying out field configuration and form packaging on the scene verification data according to the container file to obtain a plurality of configuration forms;
the first rendering module is used for performing form rendering on the plurality of configuration forms according to the service scene to obtain a plurality of rendering forms;
and the second rendering module is used for performing combined rendering on the rendering forms to obtain the service forms of the service data set.
In order to solve the above problem, the present invention also provides an electronic device, including:
a memory storing at least one instruction; and
and the processor executes the instructions stored in the memory to realize the business form generation method.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, where at least one instruction is stored, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned service form generation method.
The embodiment of the invention obtains the service data set, classifies the service scenes of the service data set to obtain a plurality of service scene data, and can divide the service data in the service data set according to different service scenes, so as to be convenient for correspondingly processing the service data in different service scenes subsequently and improve the accuracy of the generated service form; the method comprises the steps of constructing an index file and a container file, carrying out global check on a plurality of service scene data according to the index file, carrying out field configuration and form packaging on a plurality of scene check data obtained through the global check according to the container file, and carrying out form rendering and combined rendering on a plurality of configuration forms obtained according to service scenes to obtain a service form, thereby realizing the respective check, configuration, packaging and rendering of the service data under different service scenes, avoiding the processing of the data by using a unified rule, and being beneficial to improving the accuracy of the generated service form. Therefore, the method, the device, the electronic equipment and the computer readable storage medium for generating the service form, which are provided by the invention, can solve the problem that the accuracy of generating the service form is not high.
Drawings
Fig. 1 is a schematic flow chart of a method for generating a business form according to an embodiment of the present invention;
fig. 2 is a functional block diagram of a business form generating apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device for implementing the business form generation method according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the application provides a method for generating a business form. The execution subject of the business form generation method includes, but is not limited to, at least one of electronic devices such as a server and a terminal, which can be configured to execute the method provided by the embodiment of the present application. In other words, the business form generation method may be performed by software or hardware installed in a terminal device or a server device, and the software may be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Fig. 1 is a schematic flow chart of a method for generating a business form according to an embodiment of the present invention. In this embodiment, the method for generating a service form includes:
s1, acquiring a service data set, and classifying service scenes of the service data set to obtain a plurality of service scene data.
In the embodiment of the invention, the service data set is a set of service data generated in the service execution process, and the service data set comprises service data generated under various service scenes. For example, the service data set generated when the service of purchasing a product by a user is executed includes service data generated in a product inventory query scenario, service data generated in an order storage scenario, service data generated in a user transaction scenario, and the like.
According to the embodiment of the invention, the service data set can be captured from the block chain node for storing the service data set by using the python statement with the data capture function, and the efficiency of obtaining the service data set can be improved by using the high data swallowing performance of the block chain.
In the embodiment of the present invention, the classifying the service scenes of the service data set to obtain a plurality of service scene data includes:
randomly selecting a preset amount of service data from the service data set as a plurality of cluster center data;
respectively calculating the distances between the unselected service data in the service data set and the plurality of cluster center data;
and sequentially selecting target service data and cluster center data to be collected from the unselected service data to collect until all the unselected service data are collected, wherein the cluster center data to be collected is the cluster center data with the minimum distance from the target service data in the plurality of cluster center data.
For example, when the service data set includes six service data a, b, c, d, e, f, a and b are randomly selected as cluster center data, distances between c, d, e, f and a and b in a non-selected service data subset are respectively calculated, after the distance calculation is completed, target service data c is randomly selected from the non-selected service data subset, if the distance between the target service data c and the cluster center data a is closer than the distance between the target service data c and the cluster center data b, the target service data c and the cluster center data a are collected, then target service data d is randomly selected from the non-selected service data subset, and if the distance between the target service data d and the cluster center data a is closer than the distance between the target service data d and the cluster center data b, the target service data d and the cluster center data a are collected.
And meanwhile, continuously and randomly selecting target service data e from the unselected service data subset, if the distance between the target service data e and the cluster center data b is closer than that between the target service data e and the cluster center data a, collecting the target service data e and the cluster center data b, then randomly selecting target service data f from the unselected service data subset, and if the distance between the target service data f and the cluster center data b is closer than that between the target service data f and the cluster center data a, collecting the target service data f and the cluster center data b.
In detail, the calculating the distances between the unselected service data in the service data set and the plurality of cluster center data respectively includes:
calculating the distance d (A, B) between the unselected service data and the plurality of cluster center data in the service data set by using the following distance algorithm2
d(A,B)2=‖A-B‖2
Wherein, A is any unselected service data in the service data set, and B is any cluster center data.
The embodiment of the invention classifies the service scenes of the service data set, can divide the service data in the service data set according to different service scenes, is convenient for correspondingly processing the service data in different service scenes subsequently, and improves the accuracy of the generated service form.
And S2, constructing the index file and the container file by using the pre-constructed user interface asymptotic framework.
In the embodiment of the invention, the user interface progressive frame is a VUE frame, the VUE frame is a Web interface progressive frame for constructing data drive, and the efficiency for constructing the target folder can be improved by utilizing the VUE frame.
In the embodiment of the invention, the target folder comprises an index file and a container file, wherein the index file is used for building the global check of the business form by using an < el-form > function in a preset element component; the container file is used for packaging data of a plurality of service scenes.
In detail, the building of the index file and the container file by using the pre-built user interface progressive framework includes:
performing field segmentation on each service scene data in the plurality of service scene data to obtain a plurality of segmented fields;
extracting the packaging parameters of each field in the plurality of divided fields;
creating the index file using the user interface progressive frame and the plurality of split fields;
creating the container file using the user interface progressive frame and the packaging parameters.
In the embodiment of the present invention, the field segmentation of each service scene data in the plurality of service scene data to obtain a plurality of segmented fields includes:
performing field splitting processing on each service scene data in the plurality of service scene data to obtain an initial field set;
and deleting useless fields from the initial field set to obtain a plurality of divided fields.
In the embodiment of the present invention, a word segmentation Model is used to perform self-segmentation processing on each service scene data in a plurality of service scene data, where the word segmentation Model includes, but is not limited to, a MeCab Model, a pyhanlp Model, and an HMM Model (Hidden Markov Model).
In detail, the embodiment of the present invention performs non-field word deletion on the initial segmentation word set obtained by the segmentation model by using a standard field word dictionary, for example, the standard field word dictionary contains standard field words: A. b, C, D, and E, the initial set of participles includes the participles: A. c, E, F and G, deleting the participles F and G in the initial participle set, and dividing the undeleted participles in the initial participle set: A. c and E as split fields.
The embodiment of the invention carries out field segmentation on each service scene data in the plurality of service scene data, can segment data with larger length in the service scene data into data with shorter length, and is favorable for improving the efficiency of extracting the encapsulation parameters from the service scene data.
The embodiment of the invention respectively inputs the obtained plurality of segmentation fields into a pre-constructed convolutional neural network model with a feature extraction function to extract the packaging parameters.
Further, the embodiment of the present invention respectively inputs the plurality of partition fields and the package parameter into the user interface asymptotic framework, and creates the index file and the container file by using the user interface asymptotic framework.
And S3, performing global check on the plurality of service scene data according to the index file to obtain a plurality of scene check data.
In this embodiment of the present invention, the performing global check on the plurality of service scene data according to the index file to obtain a plurality of scene check data includes:
acquiring a check item, wherein the check item comprises check conditions of a plurality of different service scenes;
and carrying out global check on the plurality of service scene data according to the check condition to obtain a plurality of scene check data.
In detail, the embodiment of the present invention may use a python statement with a data fetching function to obtain a pre-stored check item from a database, where the check condition includes, but is not limited to: the method comprises the steps of checking a threshold, selecting a threshold function and judging whether a parameter is valid or not, wherein the judging condition is used for judging whether the parameter is valid or not, and can include but not limited to judging keywords, key symbols, key character strings and key parameter sizes.
The embodiment of the invention performs global check on the plurality of service scene data according to the check conditions in the check items to obtain a plurality of scene check data, for example, the check conditions include check conditions in a product stock query scene, check conditions in an order storage scene and check conditions in a user transaction scene, the service scene data in the product stock query scene is checked by using the check conditions in the product stock query scene, the service scene data in the order storage scene is checked by using the check conditions in the order storage scene, and the service scene data in the user transaction scene is checked by using the check conditions in the user transaction scene.
And S4, performing field configuration and form packaging on the scene verification data according to the container file to obtain a plurality of configuration forms.
In this embodiment of the present invention, the performing field configuration and form packaging on the multiple scene verification data according to the container file to obtain multiple configuration forms includes:
determining field categories of the plurality of scene check data;
analyzing the container file to obtain a field configuration rule and an encapsulation rule corresponding to the field type;
configuring the scene verification data according to the field configuration rule to obtain a plurality of configuration fields;
and performing form packaging on the plurality of configuration fields according to the packaging rule to obtain a plurality of configuration forms.
In detail, the determining the field categories of the plurality of scene check data includes:
sequentially selecting target check fields from the plurality of scene check data;
calculating a difference value between the field type of the target check field and a preset standard type;
and when the difference value is smaller than a preset difference threshold value, determining the field type of the target check field as a preset standard type.
Specifically, the calculating a difference value between the field type of the target verification field and a preset standard type includes:
calculating a difference value between the field type of the target check field and a preset standard type by using a difference value algorithm as follows:
Figure BDA0002843800440000081
wherein, L (X, Y) is the difference value, X is the field type of the target check field, and Y is the standard type.
Further, the configuring the plurality of scene check data according to the field configuration rule includes: and processing the plurality of scene check data according to the data format, the field length, the date format, the desensitization rule, the reserved decimal place, the carry rule, the calculation formula, the value taking mode and the like of the field configuration rule so as to enable the plurality of scene check data to accord with the field configuration rule.
For example, if the data format is the HTML format, processing the plurality of scene check data into HTML-formatted data; and if the reserved decimal place is three digits after the reserved decimal point, processing the message field with the decimal in the scene check data into three digits after the reserved decimal point.
According to the embodiment of the invention, the plurality of scene verification data obtained after division are configured according to the container file, the configuration fields meeting the requirements can be quickly obtained, and the efficiency of configuring the plurality of scene verification data according to the field configuration rule is favorably improved.
The embodiment of the invention packages the obtained configuration fields into forms according to the packaging rule to obtain a plurality of configuration forms.
And S5, performing form rendering on the plurality of configuration forms according to the service scene to obtain a plurality of rendering forms.
In the embodiment of the present invention, the performing form rendering on the multiple configuration forms according to the service scene to obtain multiple rendering forms includes:
randomly selecting any configuration form from the plurality of configuration forms as a target form;
analyzing the target form to obtain a type label and a form style of the target form;
constructing a DOM tree by using the type tag, and constructing a CSS rule tree by using the form style;
traversing and acquiring node information in the DOM tree and node information in the CSS rule tree;
and rendering the node information in the DOM tree and the node information in the CSS rule tree by using a preset API (application programming interface) interface to obtain a rendering form.
Wherein the node information includes, but is not limited to, a node location and a node size.
The DOM tree is a tree model providing data marking and access, data in a configuration form can be depicted as a tree structure, and each node of the tree structure is an HTML mark or a text item in the HTML mark. The CSS rule tree is a tree model for providing data rules (such as style rules of data display and data access rules), the data in the configuration form can be displayed completely and clearly in a tree structure by utilizing the CSS rule tree of the DOM tree, omission of the data in the rendering process is prevented, and the accuracy of the generated rendering form is improved.
And S6, performing combined rendering on the rendering forms to obtain a service form of the service data set.
In the embodiment of the present invention, the performing combined rendering on the multiple rendering forms to obtain the service form of the service data set includes:
extracting a business logic sequence of the plurality of rendering forms;
and performing data combination on the plurality of rendering forms according to the service logic sequence to obtain a service form of a service data set.
For example, a rendering form 1, a rendering form 2, a rendering form 3 and a rendering form 4 exist, where the rendering form 1 is a form corresponding to a service data set generated when a service of a product purchased by a user is executed, the rendering form 2 is a form corresponding to service data generated in a product inventory query scene, the rendering form 3 is a form corresponding to service data generated in a user transaction scene, and the rendering form 4 is a form corresponding to service data generated in an order storage scene, it is determined that a service logic sequence of the 4 rendering forms is the rendering form 1, the rendering form 2, the rendering form 4 and the rendering form 3 exist, and data of the 4 rendering forms are combined according to the service logic sequence to obtain a service form of the service data.
The embodiment of the invention obtains the service data set, classifies the service scenes of the service data set to obtain a plurality of service scene data, and can divide the service data in the service data set according to different service scenes, so as to be convenient for correspondingly processing the service data in different service scenes subsequently and improve the accuracy of the generated service form; the method comprises the steps of constructing an index file and a container file, carrying out global check on a plurality of service scene data according to the index file, carrying out field configuration and form packaging on a plurality of scene check data obtained through the global check according to the container file, and carrying out form rendering and combined rendering on a plurality of configuration forms obtained according to service scenes to obtain a service form, thereby realizing the respective check, configuration, packaging and rendering of the service data under different service scenes, avoiding the processing of the data by using a unified rule, and being beneficial to improving the accuracy of the generated service form. Therefore, the method for generating the service form can solve the problem of low accuracy of the generation of the service form.
Fig. 2 is a functional block diagram of a business form generating apparatus according to an embodiment of the present invention.
The business form generating apparatus 100 of the present invention may be installed in an electronic device. According to the implemented functions, the business form generating apparatus 100 may include a scene classification module 101, a file construction module 102, a global check module 103, a configuration encapsulation module 104, a first rendering module 105, and a second rendering module 106. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the scene classification module 101 is configured to obtain a service data set, and perform service scene classification on the service data set to obtain a plurality of service scene data.
In the embodiment of the invention, the service data set is a set of service data generated in the service execution process, and the service data set comprises service data generated under various service scenes. For example, the service data set generated when the service of purchasing a product by a user is executed includes service data generated in a product inventory query scenario, service data generated in an order storage scenario, service data generated in a user transaction scenario, and the like.
According to the embodiment of the invention, the service data set can be captured from the block chain node for storing the service data set by using the python statement with the data capture function, and the efficiency of obtaining the service data set can be improved by using the high data swallowing performance of the block chain.
In the embodiment of the present invention, the scene classification module 101 is specifically configured to:
randomly selecting a preset amount of service data from the service data set as a plurality of cluster center data;
respectively calculating the distances between the unselected service data in the service data set and the plurality of cluster center data;
and sequentially selecting target service data and cluster center data to be collected from the unselected service data to collect until all the unselected service data are collected, wherein the cluster center data to be collected is the cluster center data with the minimum distance from the target service data in the plurality of cluster center data.
For example, when the service data set includes six service data a, b, c, d, e, f, a and b are randomly selected as cluster center data, distances between c, d, e, f and a and b in a non-selected service data subset are respectively calculated, after the distance calculation is completed, target service data c is randomly selected from the non-selected service data subset, if the distance between the target service data c and the cluster center data a is closer than the distance between the target service data c and the cluster center data b, the target service data c and the cluster center data a are collected, then target service data d is randomly selected from the non-selected service data subset, and if the distance between the target service data d and the cluster center data a is closer than the distance between the target service data d and the cluster center data b, the target service data d and the cluster center data a are collected.
And meanwhile, continuously and randomly selecting target service data e from the unselected service data subset, if the distance between the target service data e and the cluster center data b is closer than that between the target service data e and the cluster center data a, collecting the target service data e and the cluster center data b, then randomly selecting target service data f from the unselected service data subset, and if the distance between the target service data f and the cluster center data b is closer than that between the target service data f and the cluster center data a, collecting the target service data f and the cluster center data b.
In detail, the calculating the distances between the unselected service data in the service data set and the plurality of cluster center data respectively includes:
calculating the distance d (A, B) between the unselected service data and the plurality of cluster center data in the service data set by using the following distance algorithm2
d(A,B)2=‖A-B‖2
Wherein, A is any unselected service data in the service data set, and B is any cluster center data.
The embodiment of the invention classifies the service scenes of the service data set, can divide the service data in the service data set according to different service scenes, is convenient for correspondingly processing the service data in different service scenes subsequently, and improves the accuracy of the generated service form.
The file constructing module 102 is configured to construct an index file and a container file by using a pre-constructed user interface progressive framework.
In the embodiment of the invention, the user interface progressive frame is a VUE frame, the VUE frame is a Web interface progressive frame for constructing data drive, and the efficiency for constructing the target folder can be improved by utilizing the VUE frame.
In the embodiment of the invention, the target folder comprises an index file and a container file, wherein the index file is used for building the global check of the business form by using an < el-form > function in a preset element component; the container file is used for packaging data of a plurality of service scenes.
In detail, the file building module 102 is specifically configured to:
performing field segmentation on each service scene data in the plurality of service scene data to obtain a plurality of segmented fields;
extracting the packaging parameters of each field in the plurality of divided fields;
creating the index file using the user interface progressive frame and the plurality of split fields;
creating the container file using the user interface progressive frame and the packaging parameters.
In the embodiment of the present invention, the field segmentation of each service scene data in the plurality of service scene data to obtain a plurality of segmented fields includes:
performing field splitting processing on each service scene data in the plurality of service scene data to obtain an initial field set;
and deleting useless fields from the initial field set to obtain a plurality of divided fields.
In the embodiment of the present invention, a word segmentation Model is used to perform self-segmentation processing on each service scene data in a plurality of service scene data, where the word segmentation Model includes, but is not limited to, a MeCab Model, a pyhanlp Model, and an HMM Model (Hidden Markov Model).
In detail, the embodiment of the present invention performs non-field word deletion on the initial segmentation word set obtained by the segmentation model by using a standard field word dictionary, for example, the standard field word dictionary contains standard field words: A. b, C, D, and E, the initial set of participles includes the participles: A. c, E, F and G, deleting the participles F and G in the initial participle set, and dividing the undeleted participles in the initial participle set: A. c and E as split fields.
The embodiment of the invention carries out field segmentation on each service scene data in the plurality of service scene data, can segment data with larger length in the service scene data into data with shorter length, and is favorable for improving the efficiency of extracting the encapsulation parameters from the service scene data.
The embodiment of the invention respectively inputs the obtained plurality of segmentation fields into a pre-constructed convolutional neural network model with a feature extraction function to extract the packaging parameters.
Further, the embodiment of the present invention respectively inputs the plurality of partition fields and the package parameter into the user interface asymptotic framework, and creates the index file and the container file by using the user interface asymptotic framework.
The global check module 103 is configured to perform global check on the multiple service scene data according to the index file to obtain multiple scene check data.
In this embodiment of the present invention, the global check module 103 is specifically configured to:
acquiring a check item, wherein the check item comprises check conditions of a plurality of different service scenes;
and carrying out global check on the plurality of service scene data according to the check condition to obtain a plurality of scene check data.
In detail, the embodiment of the present invention may use a python statement with a data fetching function to obtain a pre-stored check item from a database, where the check condition includes, but is not limited to: the method comprises the steps of checking a threshold, selecting a threshold function and judging whether a parameter is valid or not, wherein the judging condition is used for judging whether the parameter is valid or not, and can include but not limited to judging keywords, key symbols, key character strings and key parameter sizes.
The embodiment of the invention performs global check on the plurality of service scene data according to the check conditions in the check items to obtain a plurality of scene check data, for example, the check conditions include check conditions in a product stock query scene, check conditions in an order storage scene and check conditions in a user transaction scene, the service scene data in the product stock query scene is checked by using the check conditions in the product stock query scene, the service scene data in the order storage scene is checked by using the check conditions in the order storage scene, and the service scene data in the user transaction scene is checked by using the check conditions in the user transaction scene.
The configuration packaging module 104 is configured to perform field configuration and form packaging on the plurality of scene verification data according to the container file to obtain a plurality of configuration forms.
In this embodiment of the present invention, the configuration encapsulation module 104 is specifically configured to:
determining field categories of the plurality of scene check data;
analyzing the container file to obtain a field configuration rule and an encapsulation rule corresponding to the field type;
configuring the scene verification data according to the field configuration rule to obtain a plurality of configuration fields;
and performing form packaging on the plurality of configuration fields according to the packaging rule to obtain a plurality of configuration forms.
In detail, the determining the field categories of the plurality of scene check data includes:
sequentially selecting target check fields from the plurality of scene check data;
calculating a difference value between the field type of the target check field and a preset standard type;
and when the difference value is smaller than a preset difference threshold value, determining the field type of the target check field as a preset standard type.
Specifically, the calculating a difference value between the field type of the target verification field and a preset standard type includes:
calculating a difference value between the field type of the target check field and a preset standard type by using a difference value algorithm as follows:
Figure BDA0002843800440000141
wherein, L (X, Y) is the difference value, X is the field type of the target check field, and Y is the standard type.
Further, the configuring the plurality of scene check data according to the field configuration rule includes: and processing the plurality of scene check data according to the data format, the field length, the date format, the desensitization rule, the reserved decimal place, the carry rule, the calculation formula, the value taking mode and the like of the field configuration rule so as to enable the plurality of scene check data to accord with the field configuration rule.
For example, if the data format is the HTML format, processing the plurality of scene check data into HTML-formatted data; and if the reserved decimal place is three digits after the reserved decimal point, processing the message field with the decimal in the scene check data into three digits after the reserved decimal point.
According to the embodiment of the invention, the plurality of scene verification data obtained after division are configured according to the container file, the configuration fields meeting the requirements can be quickly obtained, and the efficiency of configuring the plurality of scene verification data according to the field configuration rule is favorably improved.
The embodiment of the invention packages the obtained configuration fields into forms according to the packaging rule to obtain a plurality of configuration forms.
The first rendering module 105 is configured to perform form rendering on the multiple configuration forms according to the service scene to obtain multiple rendering forms.
In an embodiment of the present invention, the first rendering module 105 is specifically configured to:
randomly selecting any configuration form from the plurality of configuration forms as a target form;
analyzing the target form to obtain a type label and a form style of the target form;
constructing a DOM tree by using the type tag, and constructing a CSS rule tree by using the form style;
traversing and acquiring node information in the DOM tree and node information in the CSS rule tree;
and rendering the node information in the DOM tree and the node information in the CSS rule tree by using a preset API (application programming interface) interface to obtain a rendering form.
Wherein the node information includes, but is not limited to, a node location and a node size.
The DOM tree is a tree model providing data marking and access, data in a configuration form can be depicted as a tree structure, and each node of the tree structure is an HTML mark or a text item in the HTML mark. The CSS rule tree is a tree model for providing data rules (such as style rules of data display and data access rules), the data in the configuration form can be displayed completely and clearly in a tree structure by utilizing the CSS rule tree of the DOM tree, omission of the data in the rendering process is prevented, and the accuracy of the generated rendering form is improved.
The second rendering module 106 is configured to perform combined rendering on the multiple rendering forms to obtain a service form of the service data set.
In this embodiment of the present invention, the second rendering module 106 is specifically configured to:
extracting a business logic sequence of the plurality of rendering forms;
and performing data combination on the plurality of rendering forms according to the service logic sequence to obtain a service form of a service data set.
For example, a rendering form 1, a rendering form 2, a rendering form 3 and a rendering form 4 exist, where the rendering form 1 is a form corresponding to a service data set generated when a service of a product purchased by a user is executed, the rendering form 2 is a form corresponding to service data generated in a product inventory query scene, the rendering form 3 is a form corresponding to service data generated in a user transaction scene, and the rendering form 4 is a form corresponding to service data generated in an order storage scene, it is determined that a service logic sequence of the 4 rendering forms is the rendering form 1, the rendering form 2, the rendering form 4 and the rendering form 3 exist, and data of the 4 rendering forms are combined according to the service logic sequence to obtain a service form of the service data.
The embodiment of the invention obtains the service data set, classifies the service scenes of the service data set to obtain a plurality of service scene data, and can divide the service data in the service data set according to different service scenes, so as to be convenient for correspondingly processing the service data in different service scenes subsequently and improve the accuracy of the generated service form; the method comprises the steps of constructing an index file and a container file, carrying out global check on a plurality of service scene data according to the index file, carrying out field configuration and form packaging on a plurality of scene check data obtained through the global check according to the container file, and carrying out form rendering and combined rendering on a plurality of configuration forms obtained according to service scenes to obtain a service form, thereby realizing the respective check, configuration, packaging and rendering of the service data under different service scenes, avoiding the processing of the data by using a unified rule, and being beneficial to improving the accuracy of the generated service form. Therefore, the business form generation device provided by the invention can solve the problem of low accuracy of the business form generation.
Fig. 3 is a schematic structural diagram of an electronic device for implementing a business form generation method according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus, and may further comprise a computer program, such as a business form generating program 12, stored in the memory 11 and executable on the processor 10.
The memory 11 includes at least one type of readable storage medium, which includes flash memory, removable hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only to store application software installed in the electronic device 1 and various types of data, such as codes of the business form generating program 12, but also to temporarily store data that has been output or is to be output.
The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (e.g., a business form generating program, etc.) stored in the memory 11 and calling data stored in the memory 11.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
Fig. 3 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device 1 may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used for establishing a communication connection between the electronic device 1 and other electronic devices.
Optionally, the electronic device 1 may further comprise a user interface, which may be a Display (Display), an input unit (such as a Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the electronic device 1 and for displaying a visualized user interface, among other things.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The business form generation program 12 stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, can implement:
acquiring a service data set, and performing service scene classification on the service data set to obtain a plurality of service scene data;
constructing an index file and a container file by using a pre-constructed user interface asymptotic framework;
performing global check on the plurality of service scene data according to the index file to obtain a plurality of scene check data;
performing field configuration and form packaging on the scene verification data according to the container file to obtain a plurality of configuration forms;
performing form rendering on the plurality of configuration forms according to the service scene to obtain a plurality of rendering forms;
and performing combined rendering on the rendering forms to obtain the service forms of the service data set.
Specifically, the specific implementation method of the processor 10 for the instruction may refer to the description of the relevant steps in the embodiment corresponding to fig. 1, which is not described herein again.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device, may implement:
acquiring a service data set, and performing service scene classification on the service data set to obtain a plurality of service scene data;
constructing an index file and a container file by using a pre-constructed user interface asymptotic framework;
performing global check on the plurality of service scene data according to the index file to obtain a plurality of scene check data;
performing field configuration and form packaging on the scene verification data according to the container file to obtain a plurality of configuration forms;
performing form rendering on the plurality of configuration forms according to the service scene to obtain a plurality of rendering forms;
and performing combined rendering on the rendering forms to obtain the service forms of the service data set.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (10)

1. A method for generating a business form, the method comprising:
acquiring a service data set, and performing service scene classification on the service data set to obtain a plurality of service scene data;
constructing an index file and a container file by using a pre-constructed user interface asymptotic framework;
performing global check on the plurality of service scene data according to the index file to obtain a plurality of scene check data;
performing field configuration and form packaging on the scene verification data according to the container file to obtain a plurality of configuration forms;
performing form rendering on the plurality of configuration forms according to the service scene to obtain a plurality of rendering forms;
and performing combined rendering on the rendering forms to obtain the service forms of the service data set.
2. The method for generating service forms according to claim 1, wherein said classifying the service data sets into service scenes to obtain a plurality of service scene data comprises:
randomly selecting a preset amount of service data from the service data set as a plurality of cluster center data;
respectively calculating the distances between the unselected service data in the service data set and the plurality of cluster center data;
and sequentially selecting target service data and cluster center data to be collected from the unselected service data to collect until all the unselected service data are collected, wherein the cluster center data to be collected is the cluster center data with the minimum distance from the target service data in the plurality of cluster center data.
3. The business form generation method of claim 1, wherein said building an index file and a container file using a pre-built user interface progressive framework comprises:
performing field segmentation on each service scene data in the plurality of service scene data to obtain a plurality of segmented fields;
extracting the packaging parameters of each field in the plurality of divided fields;
creating the index file using the user interface progressive frame and the plurality of split fields;
creating the container file using the user interface progressive frame and the packaging parameters.
4. The method for generating service form according to claim 3, wherein said performing field segmentation on each service scene data in the plurality of service scene data to obtain a plurality of segmented fields comprises:
performing field splitting processing on each service scene data in the plurality of service scene data to obtain an initial field set;
and deleting useless fields from the initial field set to obtain a plurality of divided fields.
5. The method for generating service forms according to claim 1, wherein the globally verifying the plurality of service scene data according to the index file to obtain a plurality of scene verification data includes:
acquiring a check item, wherein the check item comprises check conditions of a plurality of different service scenes;
and carrying out global check on the plurality of service scene data according to the check condition to obtain a plurality of scene check data.
6. The business form generating method of any one of claims 1 to 5, wherein the performing field configuration and form packaging on the plurality of scene check data according to the container file to obtain a plurality of configuration forms comprises:
determining field categories of the plurality of scene check data;
analyzing the container file to obtain a field configuration rule and an encapsulation rule corresponding to the field type;
configuring the scene verification data according to the field configuration rule to obtain a plurality of configuration fields;
and performing form packaging on the plurality of configuration fields according to the packaging rule to obtain a plurality of configuration forms.
7. The business form generation method of claim 6, wherein said determining field categories for said plurality of scenario check data comprises:
sequentially selecting target check fields from the plurality of scene check data;
calculating a difference value between the field type of the target check field and a preset standard type;
and when the difference value is smaller than a preset difference threshold value, determining the field type of the target check field as a preset standard type.
8. An apparatus for generating a business form, the apparatus comprising:
the scene classification module is used for acquiring a service data set and performing service scene classification on the service data set to obtain a plurality of service scene data;
the file construction module is used for constructing an index file and a container file by utilizing a pre-constructed user interface asymptotic framework;
the global check module is used for carrying out global check on the plurality of service scene data according to the index file to obtain a plurality of scene check data;
the configuration packaging module is used for carrying out field configuration and form packaging on the scene verification data according to the container file to obtain a plurality of configuration forms;
the first rendering module is used for performing form rendering on the plurality of configuration forms according to the service scene to obtain a plurality of rendering forms;
and the second rendering module is used for performing combined rendering on the rendering forms to obtain the service forms of the service data set.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the business form generation method of any one of claims 1 to 7.
10. A computer-readable storage medium, storing a computer program, wherein the computer program, when executed by a processor, implements the business form generating method of any one of claims 1 to 7.
CN202011502175.4A 2020-12-18 2020-12-18 Service form generation method and device, electronic equipment and computer storage medium Active CN112528616B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011502175.4A CN112528616B (en) 2020-12-18 2020-12-18 Service form generation method and device, electronic equipment and computer storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011502175.4A CN112528616B (en) 2020-12-18 2020-12-18 Service form generation method and device, electronic equipment and computer storage medium

Publications (2)

Publication Number Publication Date
CN112528616A true CN112528616A (en) 2021-03-19
CN112528616B CN112528616B (en) 2023-08-22

Family

ID=75001343

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011502175.4A Active CN112528616B (en) 2020-12-18 2020-12-18 Service form generation method and device, electronic equipment and computer storage medium

Country Status (1)

Country Link
CN (1) CN112528616B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113051224A (en) * 2021-04-08 2021-06-29 平安国际智慧城市科技股份有限公司 File transmission method and device, electronic equipment and computer readable storage medium
CN113706019A (en) * 2021-08-30 2021-11-26 平安银行股份有限公司 Service capability analysis method, device, equipment and medium based on multidimensional data
CN113760428A (en) * 2021-08-13 2021-12-07 上海百秋电子商务有限公司 Checking tool, method, medium and equipment applied to interface access
CN114296833A (en) * 2021-12-31 2022-04-08 广州方硅信息技术有限公司 Business interface component configuration method and device, equipment and medium thereof

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140074853A1 (en) * 2011-02-21 2014-03-13 Amadeus S.A.S. Method and system for providing statistical from a data warehouse
US20170068712A1 (en) * 2015-09-04 2017-03-09 Palantir Technologies Inc. Systems and methods for database investigation tool
CN110502214A (en) * 2019-06-26 2019-11-26 中电万维信息技术有限责任公司 A kind of method, apparatus and storage medium generating business form
CN110764942A (en) * 2019-09-17 2020-02-07 平安银行股份有限公司 Multi-type data checking method, device, computer system and readable storage medium
CN111931471A (en) * 2020-08-31 2020-11-13 平安银行股份有限公司 Form collection method and device, electronic equipment and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140074853A1 (en) * 2011-02-21 2014-03-13 Amadeus S.A.S. Method and system for providing statistical from a data warehouse
US20170068712A1 (en) * 2015-09-04 2017-03-09 Palantir Technologies Inc. Systems and methods for database investigation tool
CN110502214A (en) * 2019-06-26 2019-11-26 中电万维信息技术有限责任公司 A kind of method, apparatus and storage medium generating business form
CN110764942A (en) * 2019-09-17 2020-02-07 平安银行股份有限公司 Multi-type data checking method, device, computer system and readable storage medium
CN111931471A (en) * 2020-08-31 2020-11-13 平安银行股份有限公司 Form collection method and device, electronic equipment and storage medium

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113051224A (en) * 2021-04-08 2021-06-29 平安国际智慧城市科技股份有限公司 File transmission method and device, electronic equipment and computer readable storage medium
CN113760428A (en) * 2021-08-13 2021-12-07 上海百秋电子商务有限公司 Checking tool, method, medium and equipment applied to interface access
CN113706019A (en) * 2021-08-30 2021-11-26 平安银行股份有限公司 Service capability analysis method, device, equipment and medium based on multidimensional data
CN114296833A (en) * 2021-12-31 2022-04-08 广州方硅信息技术有限公司 Business interface component configuration method and device, equipment and medium thereof

Also Published As

Publication number Publication date
CN112528616B (en) 2023-08-22

Similar Documents

Publication Publication Date Title
CN112528616B (en) Service form generation method and device, electronic equipment and computer storage medium
CN112699775A (en) Certificate identification method, device and equipment based on deep learning and storage medium
CN113449187A (en) Product recommendation method, device and equipment based on double portraits and storage medium
CN113961473A (en) Data testing method and device, electronic equipment and computer readable storage medium
CN112860905A (en) Text information extraction method, device and equipment and readable storage medium
CN113157927A (en) Text classification method and device, electronic equipment and readable storage medium
CN114708461A (en) Multi-modal learning model-based classification method, device, equipment and storage medium
CN114491047A (en) Multi-label text classification method and device, electronic equipment and storage medium
CN114979120A (en) Data uploading method, device, equipment and storage medium
CN115018588A (en) Product recommendation method and device, electronic equipment and readable storage medium
CN113658002A (en) Decision tree-based transaction result generation method and device, electronic equipment and medium
CN113268665A (en) Information recommendation method, device and equipment based on random forest and storage medium
CN114708073B (en) Intelligent detection method and device for surrounding mark and serial mark, electronic equipment and storage medium
CN114780688A (en) Text quality inspection method, device and equipment based on rule matching and storage medium
CN114943306A (en) Intention classification method, device, equipment and storage medium
CN114996386A (en) Business role identification method, device, equipment and storage medium
CN114840388A (en) Data monitoring method and device, electronic equipment and storage medium
CN113626605A (en) Information classification method and device, electronic equipment and readable storage medium
CN113706207A (en) Order transaction rate analysis method, device, equipment and medium based on semantic analysis
CN114518993A (en) System performance monitoring method, device, equipment and medium based on business characteristics
CN114385815A (en) News screening method, device, equipment and storage medium based on business requirements
CN113806492A (en) Record generation method, device and equipment based on semantic recognition and storage medium
CN113822215A (en) Equipment operation guide file generation method and device, electronic equipment and storage medium
CN113536782A (en) Sensitive word recognition method and device, electronic equipment and storage medium
CN113343102A (en) Data recommendation method and device based on feature screening, electronic equipment and medium

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
GR01 Patent grant
GR01 Patent grant