CN114399199A - Evaluation data processing method and device, electronic equipment and storage medium - Google Patents

Evaluation data processing method and device, electronic equipment and storage medium Download PDF

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Publication number
CN114399199A
CN114399199A CN202210042473.2A CN202210042473A CN114399199A CN 114399199 A CN114399199 A CN 114399199A CN 202210042473 A CN202210042473 A CN 202210042473A CN 114399199 A CN114399199 A CN 114399199A
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review
template
evaluation
stage
scoring
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陈忠旺
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China Construction Bank Corp
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China Construction Bank Corp
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/166—Editing, e.g. inserting or deleting
    • G06F40/186—Templates

Abstract

The invention discloses a review data processing method and device, electronic equipment and a storage medium, and relates to the technical field of computers. One embodiment of the method comprises: receiving a generation request of a review template, and acquiring a review type and a review requirement parameter in the generation request; inquiring a corresponding identification model based on the review type so as to identify a corresponding review target and each review stage through the review requirement parameter; calling a preset evaluation index library to obtain evaluation indexes of evaluation targets and corresponding relations between the evaluation indexes and evaluation stages; and inquiring the rating rule tables corresponding to the evaluation indexes, combining the rating rule tables corresponding to the evaluation indexes in each evaluation stage to obtain an evaluation template and sending the evaluation template. The method and the device can solve the problem that when the review standard is newly increased or improved, the code needs to be modified, so that the expandability is poor.

Description

Evaluation data processing method and device, electronic equipment and storage medium
Technical Field
The invention relates to the technical field of computers, in particular to a review data processing method and device, electronic equipment and a storage medium.
Background
In various business scenarios, review requirements are often involved, for example, in a purchase business scenario, a purchased item needs to be reviewed. Since different business scenes correspond to different review standards, the applicable review standard is usually formulated first to execute the review process. In the prior art, the evaluation standard is directly customized on a code level, developers realize logic judgment in the evaluation standard through code development, but when the evaluation standard is newly increased or improved, the codes need to be modified, and the expandability is poor.
Disclosure of Invention
In view of this, embodiments of the present invention provide a review data processing method and apparatus, an electronic device, and a storage medium, which can solve the problem that when a review standard is newly added or improved, a code needs to be modified, so that expandability is poor.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a review data processing method.
The evaluation data processing method of the embodiment of the invention comprises the following steps: receiving a generation request of a review template, and acquiring a review type and a review requirement parameter in the generation request; inquiring a corresponding identification model based on the review type so as to identify a corresponding review target and each review stage through the review requirement parameter; calling a preset review index library to obtain the review index of the review target and the corresponding relation between the review index and the review stage; and inquiring the scoring rule tables corresponding to the evaluation indexes, combining the scoring rule tables corresponding to the evaluation indexes in each evaluation stage to obtain an evaluation template and sending the evaluation template.
In one embodiment, the combining the scoring rule tables corresponding to the review indexes in each review stage to obtain the review template includes:
calling a preset review template generation model, obtaining a review template format, generating sub-review templates of each review stage based on the review template format and a scoring rule table of corresponding review indexes of each review stage, and combining the sub-review templates of each review stage to obtain the review template.
In yet another embodiment, the review template format includes scoring rules and scoring variables;
generating a sub-review template of each review stage based on the review template format and the scoring rule table of the corresponding review indexes of each review stage, wherein the sub-review template comprises the following steps:
and identifying each scoring variable and a scoring rule corresponding to each scoring variable in the scoring rule table based on the field name of the scoring rule table so as to generate the sub-review templates of each review stage by combining the format of the review templates.
In another embodiment, before querying the scoring rule table corresponding to each review index, the method further includes:
acquiring attribute parameters of each evaluation index to determine the attribute parameters as the grading parameters of each evaluation index;
and receiving a grading configuration instruction of each grading parameter so as to add a grading rule of each grading variable.
In yet another embodiment, prior to said receiving a review template configuration request, further comprising:
collecting review requirement parameters corresponding to the review types to extract review indexes of each review target corresponding to the review types;
and receiving a configuration instruction of the evaluation index, and establishing a corresponding relation between the evaluation index and the evaluation stage based on the configuration instruction to obtain an evaluation index library.
In yet another embodiment, receiving a review template generation request includes:
receiving login information of a user, and acquiring a user identifier in the login information to inquire a corresponding historical operation record;
calling a preset calculation model, calculating the type of the template to be evaluated and the required parameter to be evaluated corresponding to the user identification based on the historical operation record, and displaying the type and the required parameter to be evaluated;
and receiving a review template generation request, wherein the review template generation request comprises parameters selected from the displayed types of the pending review templates and the pending review requirement parameters.
In another embodiment, calculating and displaying the user identification corresponding to the pending review template type and the pending review requirement parameter based on the historical operation record comprises:
and calculating the operation times of each preset review type and review requirement parameter based on the historical operation records so as to determine and display the pending review type and the pending review requirement parameter corresponding to the user identifier.
In yet another embodiment, the invoking the preset review indicator library comprises:
screening and displaying a corresponding target evaluation template from the evaluation template library based on the evaluation target and each evaluation stage;
receiving a user instruction to judge whether the user instruction comprises a confirmation identifier;
if so, sending the target review template; if not, calling a preset evaluation index library.
To achieve the above object, according to another aspect of the embodiments of the present invention, there is provided a review data processing apparatus.
The evaluation data processing device of the embodiment of the invention comprises: the device comprises a receiving unit, a judging unit and a judging unit, wherein the receiving unit is used for receiving a judging template generation request and acquiring a judging type and a judging requirement parameter in the generation request;
the identification unit is used for inquiring the corresponding identification model based on the review type so as to identify the corresponding review target and each review stage through the review requirement parameter; the acquisition unit is used for calling a preset review index library, acquiring the review index of the review target and the corresponding relation between the review index and the review stage; and the generating unit is used for inquiring the scoring rule table corresponding to each evaluation index, combining the scoring rule tables corresponding to the evaluation indexes in each evaluation stage, obtaining an evaluation template and sending the evaluation template.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus.
An electronic device of an embodiment of the present invention includes: one or more processors; and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors realize the review data processing method provided by the embodiment of the invention.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided a computer-readable medium.
A computer-readable medium of an embodiment of the present invention stores thereon a computer program, which, when executed by a processor, implements a review data processing method provided by an embodiment of the present invention.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided a computer program product.
The computer program product of the embodiment of the present invention includes a computer program, and when the computer program is executed by a processor, the method for processing review data provided by the embodiment of the present invention is implemented.
One embodiment of the above invention has the following advantages or benefits: in the embodiment of the invention, the review type and the review requirement parameters can be obtained from the generation request of the review template, then the review target and each review stage can be identified through the preset identification model, the review index is determined through the review index library, the corresponding review stage is determined, and the score rule tables corresponding to the review indexes of each review stage can be combined based on the score rule table corresponding to each review index to obtain the review template. In the embodiment of the invention, the review index library is preset, the review indexes of the review targets and the corresponding relations between the review indexes and the review stages are established, so that after the review targets of the review template are identified, the corresponding review indexes can be determined by the lessons, the scoring rule tables corresponding to the review indexes can be further inquired, the review template can be obtained by combining the scoring rule tables, and even if the review standard is updated, the review can be realized by updating the review index library and the scoring rule tables.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic diagram of one primary flow of a review data processing method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of yet another major flow of a review data processing method according to an embodiment of the invention;
FIG. 3 is a schematic diagram of the main elements of a review data processing apparatus according to an embodiment of the invention;
FIG. 4 is a diagram of yet another exemplary system architecture to which embodiments of the present invention may be applied;
FIG. 5 is a schematic block diagram of a computer system suitable for use in implementing embodiments of the present invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. According to the technical scheme, the data acquisition, storage, use, processing and the like meet relevant regulations of national laws and regulations.
An embodiment of the present invention provides a review data processing method, which can be executed by review data processing, and as shown in fig. 1, the method includes:
s101: and receiving a generation request of the evaluation template, and acquiring the evaluation type and the evaluation requirement parameter in the generation request.
Wherein the generation request can be input by a user and is used for requesting to generate the review template. The generation request can include a review type and a review requirement parameter. The review type represents the type of the review template, and may specifically be the type of service to which the review template is applicable, for example, the type of purchase. The review requirement parameter can represent the purchase requirement, and the review target corresponding to the review template and the review stage required by the review can be determined through the analysis of the review requirement.
In the embodiment of the invention, the review type of each review template can be preset in the review data processing system. A display interface may be included in the review data processing system to display data desired by or selected by the user via the display interface. In this step, the display interface may display a preset review type, i.e., a pending review template type, for the user, so that the user can select from the displayed pending review template types to generate the review type in the generation request of the review template and input the review type into the review data processing system.
Furthermore, in the embodiment of the present invention, the review data processing system may further preset review requirement parameters of each review template, and the display interface in the review data processing system may also display the preset review requirement parameters, that is, the types of the templates to be reviewed, for the user, so that the user can select from the displayed types of the templates to be reviewed to generate the review type in the request for generating the review template and input the review type into the review data processing system.
On the other hand, the display interface in the review data processing system may also provide an input window for the user to input the review type and/or the review requirement parameters of the review template to facilitate the generation of the review type in the request for generation of the review template.
S102: and inquiring the corresponding identification model based on the review type so as to identify the corresponding review target and each review stage through the review requirement parameter.
In the embodiment of the present invention, the identification models corresponding to the review types may be pre-trained, so that the corresponding identification models may be queried according to the review types obtained in step S101. The evaluation requirement parameters can be identified through the identification model, and evaluation targets and evaluation stages corresponding to the evaluation template are obtained.
The review targets represent the types of the items corresponding to the review templates, and specifically can be asset items (such as tables and chairs), IT products (such as computers), and the like, and the review standards of the items included in each review target are the same and similar, so that the same review templates can be configured. The review stage represents the stage required by the review process, and since the review of some targets cannot be completed at one time, the stage needs to be divided into multiple stages, for example, the review stage can include a pre-use review stage, an in-use review stage, a post-use review stage, and so on, so the stage included in the configuration template can be identified by the identification model in this step.
For example, in the embodiment of the present invention, the review requirement parameter may specifically be a text description of the review requirement, which is used for the overall review process, and the recognition model recognizes the review target and the review stage by recognizing a keyword in the text description. For example, the review requirement parameter may include a name or identification of the review item, and the recognition model may determine the review target based on the type to which the review item belongs after recognizing the name or identification of the review item.
S103: and calling a preset evaluation index library to obtain the evaluation index of the evaluation target and the corresponding relation between the evaluation index and the evaluation stage.
The review index library is pre-established, and stores the review indexes related to the review targets during the review, and the corresponding relation between the review indexes and the review stages. Therefore, by calling the preset evaluation index library, the evaluation index of the evaluation target and the corresponding relation between the evaluation index and the evaluation stage can be obtained.
Specifically, in the review indicator library, the belonging review target tags and the review stage tags can be added to the review indicators, so that the review indicators of the review targets can be obtained through the review target tags, and the corresponding relationship between the review indicators and the review stages is determined through the review stage tags of the review indicators.
In the embodiment of the invention, the review template can be preset or the review templates generated by different users can be stored. In this step, the stored review templates may be matched based on the review targets and the review stages, and after determining that the stored review templates include the target review templates matched with the review targets and the review stages, the stored review templates may be displayed so that the user may determine whether the user can meet the requirements of the user. If the displayed target review template meets the user requirements, the user can input a user instruction comprising a confirmation identifier; if the displayed target review template does not meet the user's requirements, the user may enter a user instruction that does not include a confirmation identification. After receiving the user instruction, the evaluation data processing system can judge whether a confirmation mark is included, if so, the user confirms that the target evaluation template meets the user requirement, and the target evaluation template can be determined to be sent; if not, the user confirms that the target evaluation template does not meet the user requirements, and a preset evaluation index library can be called to generate the evaluation template required by the user.
S104: and inquiring the rating rule tables corresponding to the evaluation indexes, combining the rating rule tables corresponding to the evaluation indexes in each evaluation stage to obtain an evaluation template and sending the evaluation template.
In the evaluation, each index of the evaluation target is usually evaluated, and the degree of merit is represented by a scoring manner, so that the scoring rule tables corresponding to each evaluation index can be pre-configured in the embodiment of the present invention, and further, the scoring rule tables corresponding to each evaluation index at each evaluation stage are combined to obtain the evaluation template and sent.
Specifically, in the embodiment of the present invention, a review template generation model may be preset, where the review template generation model includes a review template format, so that the sub-review templates of each review stage may be generated based on the scoring rule table corresponding to the review index of each review stage by calling the review template generation model, and the sub-review templates of each review stage may be combined to generate the review template.
The review template format may include scoring rules that represent variables for reviewing the corresponding review indicators and scoring variables that represent rules for how to determine a score based on the review variables. The scoring rule table comprises scoring rule fields and scoring variable fields to store scoring rules and scoring variables, so that scoring rules corresponding to the scoring variables and the scoring variables in the scoring rule table can be identified based on the field names of the scoring rule table in the step, and sub-review templates of each review stage are generated by combining the review template format.
It should be noted that, in the embodiment of the present invention, the review variable may specifically be an attribute parameter corresponding to the review index, for example, if the review index is quality, the review variable may be a service life, a failure rate, and the like, and the scoring rule may be that the service life is greater than a preset value, the score is 10, and the service life is less than the preset value, the score is 0. Therefore, in the step, the attribute parameters of each evaluation index can be obtained to be determined as the grading parameters of each evaluation index; and then receiving a grading configuration instruction of each grading parameter, wherein the configuration instruction comprises a specific grading rule, so that the grading rule of each grading variable can be added to obtain a grading rule table.
In the embodiment of the invention, each user can log in for advanced use of the evaluation data processing system, and the operation of the user in the process of using the evaluation data processing system is stored, namely the operation record, so that the evaluation data which is interested by the user can be calculated and displayed based on the historical operation record of the user when the user logs in next time. Specifically, the following may be implemented: receiving login information of a user, and acquiring a user identifier in the login information to inquire a corresponding historical operation record; calling a preset calculation model, calculating the type of the template to be evaluated and the parameters required by the to-be evaluated corresponding to the user identification based on the historical operation record, and displaying the type and the parameters; and receiving a review template generation request, wherein the review template generation request comprises parameters selected from the displayed types of the pending review templates and the pending review requirement parameters. The calculation model is preset, specifically, the operation times of each preset evaluation type and evaluation requirement parameter can be calculated through the calculation model, so as to determine and display the pending evaluation type and the pending evaluation requirement parameter corresponding to the user identifier, for example, the evaluation type and the pending evaluation requirement parameter with the target number with the largest operation times can be determined as the pending evaluation type and the pending evaluation requirement parameter for display, and the value of the target number can be set based on the requirements.
Furthermore, corresponding authorities can be configured for each user, so that the types of pending reviews and the required parameters of the pending reviews are determined and displayed by combining the user authorities and historical operation records. Therefore, after logging in, the user preferentially displays the pending review type and the pending review requirement parameter so as to meet the operation requirement of the user, realize the personalized display of different users, enable different users to acquire required data, avoid the need of browsing a large amount of irrelevant data by the user, and improve the operation accuracy of the user and the generation efficiency of the review template.
In the embodiment of the invention, the review type and the review requirement parameters can be obtained from the generation request of the review template, then the review target and each review stage can be identified through the preset identification model, the review index is determined through the review index library, the corresponding review stage is determined, and the score rule tables corresponding to the review indexes of each review stage can be combined based on the score rule table corresponding to each review index to obtain the review template. In the embodiment of the invention, the review index library is preset, the review indexes of the review targets and the corresponding relations between the review indexes and the review stages are established, so that after the review targets of the review template are identified, the corresponding review indexes can be determined by the lessons, the scoring rule tables corresponding to the review indexes can be further inquired, the review template can be obtained by combining the scoring rule tables, and even if the review standard is updated, the review can be realized by updating the review index library and the scoring rule tables.
It should be noted that, in the embodiment of the present invention, relevant parameters of the review templates in each business scene may be collected in advance, and then the review target, the required review index, and the review stage corresponding to each review template are extracted, so that a review index library may be established. Furthermore, a review index detail item is established for each review index, the review index detail item comprises the scoring variables of each review index, and meanwhile, a corresponding scoring rule can be added for each scoring variable. Specifically, in the embodiment of the present invention, the configuration of the review template may be performed through a data table, for example, a review index configuration table of the review template may be preset for one review template, a corresponding scoring variable table and a corresponding scoring rule table for each review index may be configured for each review index, a scoring policy corresponding to each review index may be obtained by combining the frequency division variables and the scoring rules, a scoring policy corresponding to each review index may be further combined for each review stage, a sub-template corresponding to each review stage may be obtained, and a sub-template of each review stage may be further combined for each review stage to obtain the review template.
Referring to the embodiment shown in fig. 1, a review data processing method in the embodiment of the present invention is specifically described below, and as shown in fig. 2, the method includes:
s201: and receiving login information of a user, and acquiring a user identifier in the login information to query a corresponding historical operation record.
S202: and calling a preset calculation model, calculating the type of the template to be evaluated and the parameters required by the to-be evaluated corresponding to the user identification based on the historical operation record, and displaying.
S203: and receiving a generation request of the evaluation template, and acquiring the evaluation type and the evaluation requirement parameter in the generation request.
And the review template generation request comprises parameters selected from the displayed types of the pending review templates and the pending review requirement parameters.
S204: and inquiring the corresponding identification model based on the review type so as to identify the corresponding review target and each review stage through the review requirement parameter.
S205: and calling a preset evaluation index library to obtain the evaluation index of the evaluation target and the corresponding relation between the evaluation index and the evaluation stage.
S206: and calling a preset review template generation model to obtain a review template format.
S207: and generating the sub-evaluation templates of each evaluation stage based on the format of the evaluation template and the evaluation rule table of the evaluation indexes corresponding to each evaluation stage.
S208: and combining the sub-evaluation templates of each evaluation stage to obtain the evaluation template.
It should be noted that the data processing principle in the embodiment of the present invention is the same as the corresponding data processing principle in the embodiment shown in fig. 1, and is not described again.
In the embodiment of the invention, the review index library is preset, the review indexes of the review targets and the corresponding relations between the review indexes and the review stages are established, so that after the review targets of the review template are identified, the corresponding review indexes can be determined by the lessons, the scoring rule tables corresponding to the review indexes can be further inquired, the review template can be obtained by combining the scoring rule tables, and even if the review standard is updated, the review can be realized by updating the review index library and the scoring rule tables.
In order to solve the problems in the prior art, an embodiment of the present invention provides an apparatus 300 for reviewing data processing, as shown in fig. 3, the apparatus 300 including:
the receiving unit 301 is configured to receive a review template generation request, and acquire a review type and a review requirement parameter in the generation request;
the identification unit 302 is configured to query a corresponding identification model based on the review type to identify a corresponding review target and each review stage according to the review requirement parameter;
an obtaining unit 303, configured to call a preset review index library, and obtain a review index of the review target and a corresponding relationship between the review index and the review stage;
the generating unit 304 is configured to query the scoring rule table corresponding to each review index, combine the scoring rule tables corresponding to the review indexes in each review stage, obtain a review template, and send the review template.
It should be understood that the manner of implementing the embodiment of the present invention is the same as the manner of implementing the embodiment shown in fig. 1, and the description thereof is omitted.
In an embodiment, the generating unit 304 is specifically configured to:
calling a preset review template generation model, obtaining a review template format, generating sub-review templates of each review stage based on the review template format and a scoring rule table of corresponding review indexes of each review stage, and combining the sub-review templates of each review stage to obtain the review template.
In yet another embodiment, the review template format includes scoring rules and scoring variables;
the generating unit 304 is specifically configured to:
and identifying each scoring variable and a scoring rule corresponding to each scoring variable in the scoring rule table based on the field name of the scoring rule table so as to generate the sub-review templates of each review stage by combining the format of the review templates.
In another embodiment, the obtaining unit 303 is further configured to obtain an attribute parameter of each review index to determine a scoring parameter of each review index;
the receiving unit 301 is further configured to receive a scoring configuration instruction of each scoring parameter, so as to add a scoring rule of each scoring variable.
In yet another embodiment, the apparatus 300 further comprises:
the acquisition unit is used for acquiring the review requirement parameters corresponding to the review types so as to extract the review indexes of the review targets corresponding to the review types;
and the establishing unit is used for receiving the configuration instruction of the evaluation index, and establishing the corresponding relation between the evaluation index and the evaluation stage based on the configuration instruction to obtain the evaluation index library.
In another embodiment, the receiving unit 301 is further configured to:
receiving login information of a user, and acquiring a user identifier in the login information to inquire a corresponding historical operation record;
calling a preset calculation model, calculating the type of the template to be evaluated and the required parameter to be evaluated corresponding to the user identification based on the historical operation record, and displaying the type and the required parameter to be evaluated;
and receiving a review template generation request, wherein the review template generation request comprises parameters selected from the displayed types of the pending review templates and the pending review requirement parameters.
In another embodiment, the receiving unit 301 is specifically configured to:
and calculating the operation times of each preset review type and review requirement parameter based on the historical operation records so as to determine and display the pending review type and the pending review requirement parameter corresponding to the user identifier.
In another embodiment, the obtaining unit 303 is specifically configured to:
screening and displaying a corresponding target evaluation template from the evaluation template library based on the evaluation target and each evaluation stage;
receiving a user instruction to judge whether the user instruction comprises a confirmation identifier;
if so, sending the target review template; if not, calling a preset evaluation index library.
To achieve the above object, according to another aspect of the embodiments of the present invention, there is provided a review data processing apparatus.
The evaluation data processing device of the embodiment of the invention comprises: the device comprises a receiving unit, a judging unit and a judging unit, wherein the receiving unit is used for receiving a judging template generation request and acquiring a judging type and a judging requirement parameter in the generation request;
the identification unit is used for inquiring the corresponding identification model based on the review type so as to identify the corresponding review target and each review stage through the review requirement parameter; the acquisition unit is used for calling a preset review index library, acquiring the review index of the review target and the corresponding relation between the review index and the review stage; and the generating unit is used for inquiring the scoring rule table corresponding to each evaluation index, combining the scoring rule tables corresponding to the evaluation indexes in each evaluation stage, obtaining an evaluation template and sending the evaluation template.
It should be understood that the embodiment of the present invention is implemented in the same manner as the embodiment shown in fig. 1 or fig. 2, and is not repeated herein.
In the embodiment of the invention, the review type and the review requirement parameters can be obtained from the generation request of the review template, then the review target and each review stage can be identified through the preset identification model, the review index is determined through the review index library, the corresponding review stage is determined, and the score rule tables corresponding to the review indexes of each review stage can be combined based on the score rule table corresponding to each review index to obtain the review template. In the embodiment of the invention, the review index library is preset, the review indexes of the review targets and the corresponding relations between the review indexes and the review stages are established, so that after the review targets of the review template are identified, the corresponding review indexes can be determined by the lessons, the scoring rule tables corresponding to the review indexes can be further inquired, the review template can be obtained by combining the scoring rule tables, and even if the review standard is updated, the review can be realized by updating the review index library and the scoring rule tables.
According to an embodiment of the present invention, an electronic device and a readable storage medium are also provided.
The electronic device of the embodiment of the invention comprises: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the processor, and the instructions are executed by the at least one processor to cause the at least one processor to execute the review data processing method provided by the embodiment of the invention.
FIG. 4 illustrates an exemplary system architecture 400 to which the review data processing method or review data processing apparatus of embodiments of the present invention may be applied.
As shown in fig. 4, the system architecture 400 may include terminal devices 401, 402, 403, a network 404, and a server 405. The network 404 serves as a medium for providing communication links between the terminal devices 401, 402, 403 and the server 405. Network 404 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use terminal devices 401, 402, 403 to interact with a server 405 over a network 404 to receive or send messages or the like. Various client applications may be installed on the terminal devices 401, 402, 403.
The terminal devices 401, 402, 403 may be, but are not limited to, smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 405 may be a server that provides various services, and the server may analyze and process data such as a received product information query request, and feed back a processing result (for example, product information — just an example) to the terminal device.
It should be noted that the review data processing method provided by the embodiment of the invention is generally executed by the server 405, and accordingly, the review data processing device is generally disposed in the server 405.
It should be understood that the number of terminal devices, networks, and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 5, a block diagram of a computer system 500 suitable for use in implementing embodiments of the present invention is shown. The computer system illustrated in FIG. 5 is only an example and should not impose any limitations on the scope of use or functionality of embodiments of the invention.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a unit, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present invention may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a receiving unit, an identifying unit, an acquiring unit, and a generating unit. Where the names of these units do not in some cases constitute a limitation of the unit itself, for example, a receiving unit may also be described as a "unit requesting a receiving function".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The above-mentioned computer-readable medium carries one or more programs which, when executed by a device, cause the device to execute the review data processing method provided by the present invention.
As another aspect, the present invention also provides a computer program product, which includes a computer program, and when the program is executed by a processor, the computer program implements the review data processing method provided by the embodiment of the present invention.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (16)

1. A review data processing method, comprising:
receiving a generation request of a review template, and acquiring a review type and a review requirement parameter in the generation request;
inquiring a corresponding identification model based on the review type so as to identify a corresponding review target and each review stage through the review requirement parameter;
calling a preset review index library to obtain the review index of the review target and the corresponding relation between the review index and the review stage;
and inquiring the scoring rule tables corresponding to the evaluation indexes, combining the scoring rule tables corresponding to the evaluation indexes in each evaluation stage to obtain an evaluation template and sending the evaluation template.
2. The method of claim 1, wherein combining the scoring rules for the review indicators corresponding to each review stage to obtain a review template comprises:
calling a preset review template generation model, obtaining a review template format, generating sub-review templates of each review stage based on the review template format and a scoring rule table of corresponding review indexes of each review stage, and combining the sub-review templates of each review stage to obtain the review template.
3. The method of claim 2, wherein the review template format includes scoring rules and scoring variables;
generating a sub-review template of each review stage based on the review template format and the scoring rule table of the corresponding review indexes of each review stage, wherein the sub-review template comprises the following steps:
and identifying each scoring variable and a scoring rule corresponding to each scoring variable in the scoring rule table based on the field name of the scoring rule table so as to generate the sub-review templates of each review stage by combining the format of the review templates.
4. The method of claim 3, prior to querying the scoring rules table corresponding to each review index, further comprising:
acquiring attribute parameters of each evaluation index to determine the attribute parameters as the grading parameters of each evaluation index;
and receiving a grading configuration instruction of each grading parameter so as to add a grading rule of each grading variable.
5. The method of claim 1, prior to said receiving a review template configuration request, further comprising:
collecting review requirement parameters corresponding to the review types to extract review indexes of each review target corresponding to the review types;
and receiving a configuration instruction of the evaluation index, and establishing a corresponding relation between the evaluation index and the evaluation stage based on the configuration instruction to obtain an evaluation index library.
6. The method of claim 1, wherein receiving a review template generation request comprises:
receiving login information of a user, and acquiring a user identifier in the login information to inquire a corresponding historical operation record;
calling a preset calculation model, calculating the type of the template to be evaluated and the required parameter to be evaluated corresponding to the user identification based on the historical operation record, and displaying the type and the required parameter to be evaluated;
and receiving a review template generation request, wherein the review template generation request comprises parameters selected from the displayed types of the pending review templates and the pending review requirement parameters.
7. The method of claim 6, wherein calculating and displaying the corresponding pending review template type and pending review requirement parameters for the user identification based on the historical operating records comprises:
and calculating the operation times of each preset review type and review requirement parameter based on the historical operation records so as to determine and display the pending review type and the pending review requirement parameter corresponding to the user identifier.
8. The method of claim 1, wherein invoking the pre-set review indicator library comprises:
screening and displaying a corresponding target evaluation template from the evaluation template library based on the evaluation target and each evaluation stage;
receiving a user instruction to judge whether the user instruction comprises a confirmation identifier;
if so, sending the target review template; if not, calling a preset evaluation index library.
9. A review data processing apparatus comprising:
the device comprises a receiving unit, a judging unit and a judging unit, wherein the receiving unit is used for receiving a judging template generation request and acquiring a judging type and a judging requirement parameter in the generation request;
the identification unit is used for inquiring the corresponding identification model based on the review type so as to identify the corresponding review target and each review stage through the review requirement parameter;
the acquisition unit is used for calling a preset review index library, acquiring the review index of the review target and the corresponding relation between the review index and the review stage;
and the generating unit is used for inquiring the scoring rule table corresponding to each evaluation index, combining the scoring rule tables corresponding to the evaluation indexes in each evaluation stage, obtaining an evaluation template and sending the evaluation template.
10. The apparatus according to claim 9, wherein the generating unit is specifically configured to:
calling a preset review template generation model, obtaining a review template format, generating sub-review templates of each review stage based on the review template format and a scoring rule table of corresponding review indexes of each review stage, and combining the sub-review templates of each review stage to obtain the review template.
11. The apparatus of claim 10, wherein the review template format comprises scoring rules and scoring parameters;
the generating unit is specifically configured to:
generating a sub-review template of each review stage based on the review template format and the scoring rule table of the corresponding review indexes of each review stage, wherein the sub-review template comprises the following steps:
and identifying each scoring parameter and scoring rules corresponding to each scoring parameter in the scoring rule table based on the field names of the scoring rule table so as to generate the sub-review templates of each review stage by combining the format of the review templates.
12. The apparatus according to claim 10, wherein the obtaining unit is further configured to obtain an attribute parameter of each review index to determine a scoring parameter of each review index;
the device further comprises:
and the adding unit is used for receiving a grading configuration instruction of each grading parameter so as to add the grading rule of each grading parameter.
13. The apparatus of claim 9, further comprising:
the acquisition unit is used for acquiring the review requirement parameters corresponding to the review types so as to extract the review indexes of the review targets corresponding to the review types;
and the establishing unit is used for receiving the configuration instruction of the evaluation index, and establishing the corresponding relation between the evaluation index and the evaluation stage based on the configuration instruction to obtain the evaluation index library.
14. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-8.
15. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-8.
16. A computer program product comprising a computer program, characterized in that the program realizes the method according to any of claims 1-8 when executed by a processor.
CN202210042473.2A 2022-01-14 2022-01-14 Evaluation data processing method and device, electronic equipment and storage medium Pending CN114399199A (en)

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