CN111831259A - Guiding type intelligent processing customization method - Google Patents
Guiding type intelligent processing customization method Download PDFInfo
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- CN111831259A CN111831259A CN202010297353.8A CN202010297353A CN111831259A CN 111831259 A CN111831259 A CN 111831259A CN 202010297353 A CN202010297353 A CN 202010297353A CN 111831259 A CN111831259 A CN 111831259A
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Abstract
The invention mainly solves the problems that in the customized design of the graph dragging type intelligent processing program, the efficiency of the module assembling and integrating process is low and the capability can not be maximized after assembling and integrating due to the fact that algorithm program modules are multiple, functions or interfaces are similar and a user is not familiar with the capability of a dragging programming system. The method comprises the steps of establishing and adopting technical means such as reverse guidance of requirements, guidance of module functional interface characteristics, guidance of user figures and the like, filtering algorithm program modules with irrelevant conditions in the process of selecting the algorithm program modules by a user, preferentially recommending feasible algorithm program modules to the user, accelerating intelligent processing program design and reducing operation faults caused by unreasonable dragging and splicing of the program.
Description
Technical Field
The invention relates to a graphic dragging type intelligent processing program customization design, in particular to a guiding type intelligent processing program customization design.
Background
The current graphic dragging type program design means is mature day by day, and aiming at the integrated design of an intelligent processing algorithm program, due to the simple algorithm program relationship, the customized design of the graphic dragging type intelligent processing program is a tool which is more easily accepted by users, such as a codeless programmer like google block, Scratch and the like, the learning curve of the users can be effectively shortened, and the design of the intelligent processing program is accelerated by the hands of the users. However, in an open platform with free algorithm program management and an increasing number of algorithm programs, the algorithm programs are dragged and called by a user as modules, and the number of the modules is too large, so that the user has difficulty in selecting the modules in a graphical operation interface, on one hand, the user has difficulty in determining required functions, on the other hand, the user has difficulty in positioning the required modules, and the programming efficiency is not much different from that of code programming.
Disclosure of Invention
The invention aims to provide an algorithm program module guiding method, accelerate the user to clearly define the required functions and find the corresponding algorithm program module.
In order to realize module guidance, the invention designs a guiding type intelligent processing customizing method integrating three strategies of requirement reverse guidance, module function interface characteristic guidance and/or user image guidance. The method comprises the following steps of: (1) the method comprises the following steps that firstly, feature description accumulation is carried out on output contents of an intelligent processing program and the output contents serve as input of a demand description system; secondly, performing feature description on the algorithm program module in the algorithm program module library to serve as the input of a module function interface feature description system; accumulating the user behavior description of the graphic dragging type program customizing tool as the input of the user figure system; (2) in the operation stage, acquiring the expected output content of the user in the process of integrating and assembling the algorithm program modules by the user, filtering the algorithm program modules with unmatched description by matching the expected output content with the output characteristic description in the requirement description system, and recommending and displaying the matched algorithm program modules; acquiring the currently selected algorithm program module of the user in the process of integrating and assembling the algorithm program modules by the user, filtering and describing unmatched algorithm program modules by matching input and output feature descriptions in the selected algorithm program module and the module functional interface feature description system, and recommending and displaying the matched algorithm program modules; and sixthly, before displaying and recommending the algorithm program module, recommending and sequencing according to the user portrait.
In order to help the user to find the corresponding algorithm program modules, the invention reduces the number of the algorithm program modules presented in front of the user through guidance, and sequences according to the recommended sequence, so that the user can find the needed algorithm program modules in a small range.
And further, performing feature description accumulation on output contents of the intelligent processing program, and requiring inductive classification on historical products of the graph drag type program customization tool, wherein the record contents of the requirement description system comprise algorithm program module names and output data formats for product output.
And step two, performing feature description on the algorithm program module in the algorithm program module library, wherein the recorded content of the module function interface feature description system comprises the name of the algorithm program module, an input data format and an output data format.
And step three, accumulating the user behavior description using the graph dragging type program customizing tool, wherein the recorded content of the user portrait system comprises the name of an algorithm program module, the selection times of the algorithm program module, the name of a preorder algorithm program module, the selection times of the preorder algorithm program module, the name of a subsequent algorithm program module and the selection times of the subsequent algorithm program module.
Furthermore, the step (iv) needs to obtain at least the output data format expected by the user for obtaining the output content expected by the user.
Furthermore, for input and output feature description in the matching selected algorithm program module and module function interface feature description system, at least matching input or output data format is required.
And sixthly, recommending and sequencing according to the user portrait, at least considering the selection times of the recommended algorithm program module if the recommended algorithm program module is a product output module of an intelligent processing program, at least considering the selection times of the recommended algorithm program module as a preorder module under the current condition if the recommended algorithm program module is a preorder module of the currently selected algorithm program module, and at least considering the selection times of the recommended algorithm program module as a follow-up module under the current condition if the recommended algorithm program module is a follow-up module of the currently selected algorithm program module.
Further, the term "data format" refers to: the name of each data item, the type of the data item and the byte usage requirement need to be included in turn.
The method constructs the module function interface characteristic description when the algorithm program module in the management range is sorted, and accumulates and constructs the requirement description and the user portrait in the customizing process of the graph dragging type intelligent processing program. Module selection guidance is given during the user's use of the graphical drag-and-drop smart handler customization tool.
The guide type intelligent processing customization method constructed by the invention has the following advantages:
1. the algorithm program module recommendation capability guided by the user target requirement is realized;
2. the algorithm program module recommendation capability guided by the module relation is realized;
3. the algorithm program module recommendation capability is realized by using experience accumulation along with a graph dragging type tool;
4. the loose coupling with the graphic dragging type intelligent processing program customizing tool is realized, and the independent use of the tool is not influenced.
Drawings
FIG. 1 is a schematic diagram of the operation principle of the demand reverse boot technology;
FIG. 2 is a schematic diagram of the operation principle of the module function interface feature guidance technology;
FIG. 3 is a schematic diagram of the operation of a user portrait guided technique.
Detailed Description
The following describes an implementation process of the guided intelligent processing customization method by using a specific embodiment of a graph drag-and-drop intelligent processing customization program design.
1. When the guided intelligent processing program design tool is on line and each time the tool is started, the algorithm program module in the management range is started to scan. Performing data entry on modules which are not recorded in the module functional interface characteristic description system, wherein the entry content at least comprises a module name, a module input data format and a module output data format;
2. when the intelligent processing program is manufactured through an intelligent processing program design tool, if each output of the program is not recorded in a requirement description system, data recording is carried out, the recorded content at least comprises a module name, and a module outputs a data format;
3. when a user uses an intelligent processing program design tool, the relation among all the selected modules is input into a user portrait system, and the input content at least comprises the name of an algorithm program module, the selection times of the algorithm program module, the name of a preorder algorithm program module, the selection times of the preorder algorithm program module, the name of a subsequent algorithm program module and the selection times of the subsequent algorithm program module;
4. when a user uses an intelligent processing program design tool, firstly, if the user needs to know a module most related to the target output of the user, after a request is initiated, the reverse guidance of the request is searched in a requirement description system, a matching module is submitted to a user portrait guidance, the user portrait guidance sorts modules to be recommended according to the selection times of a matching algorithm program module and provides the sorted recommending modules for the user, secondly, if the user selects one module in the intelligent processing program which is being arranged, the module which is consistent with the input and output data format of the currently selected module needs to be known, after the request is initiated, the module functional interface characteristic guidance searches in a module functional interface characteristic description system, the matching module is submitted to the user portrait guidance, if the module which needs to know is a preorder module of the currently selected algorithm program module, the user guidance sorts the modules to be recommended according to the selection times of the matching module of the preorder module, if the module needing to be known is a subsequent module of the currently selected algorithm program module, the user portrait guides the modules to be recommended to be sequenced according to the selection times of the matching modules of the subsequent module, and finally, the sequenced modules are provided for the user.
5. For the above data format, the name of each data item, the type of data item, and the byte usage requirement are included.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered thereby.
Claims (8)
1. A guiding intelligent processing customization method is a method based on graphic dragging type program customization design, and is characterized by comprising the following steps,
performing feature description accumulation on output contents of the intelligent processing program as input of a demand description system;
performing feature description on an algorithm program module in an algorithm program module library, and using the feature description as the input of a module function interface feature description system;
accumulating user behavior descriptions using a graphical drag-type program customization tool as input to a user representation system;
in the process of integrating and assembling the algorithm program modules by a user, acquiring the expected output content of the user, filtering the algorithm program modules with unmatched description by matching the expected output content with the output characteristic description in the requirement description system, and recommending and displaying the matched algorithm program modules;
in the process of integrating and assembling the algorithm program modules by a user, acquiring the currently selected algorithm program module of the user, filtering and describing unmatched algorithm program modules by matching the input and output characteristic description in the selected algorithm program module and the module functional interface characteristic description system, and recommending and displaying the matched algorithm program modules;
and before the algorithm program module is recommended in a display mode, recommending and sequencing according to the user representation system.
2. The guided intelligent process customization method of claim 1, performing characterization accumulation on the output content of the intelligent process, characterized in that: the historical products of the graph drag type program customization tool need to be generalized and classified, and the record content of the requirement description system comprises an algorithm program module name for product output and an output data format.
3. The guided intelligent process customization method of claim 1, further comprising characterizing the algorithm program modules in the library of algorithm program modules, wherein: the module function interface characteristic description system recording content comprises an algorithm program module name, an input data format and an output data format.
4. The guided intelligent process customization method of claim 1, accumulating descriptions of user behavior using graphical drag-and-drop customization tools, wherein: the user portrait system recorded content comprises algorithm program module name, algorithm program module selection times, preorder algorithm program module name, preorder algorithm program module selection times, subsequent algorithm program module name and subsequent algorithm program module selection times.
5. The guided intelligent process customization method according to claim 1, further comprising, for obtaining the desired output content of the user: it is necessary to obtain at least the output data format expected by the user.
6. The guided intelligent process customization method of claim 1, further comprising the step of characterizing the input and output of the matching selected algorithm program module with the functional interface of the module, wherein: it needs to match at least the input or output data format.
7. A guided intelligent process customization method according to claim 1, which performs a recommendation ranking based on a user profile, characterized by: if the recommended algorithm program module is a product output module of the intelligent processing program, at least the selection times of the recommended program module need to be considered, if the recommended algorithm program module is a preorder module of the currently selected algorithm program module, at least the selection times of the recommended algorithm program module serving as a preorder module under the current condition need to be considered, and if the recommended algorithm program module is a subsequent module of the currently selected algorithm program module, at least the selection times of the recommended algorithm program module serving as a subsequent module under the current condition need to be considered.
8. The data format according to any one of claims 2, 3, 4, 5, 6, wherein: the name of each data item, the type of the data item and the byte usage requirement need to be included in turn.
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