CN114511238A

CN114511238A - Employee workflow guiding method, device, equipment and storage medium

Info

Publication number: CN114511238A
Application number: CN202210152169.3A
Authority: CN
Inventors: 王昱皓
Original assignee: Ping An Puhui Enterprise Management Co Ltd
Current assignee: Ping An Puhui Enterprise Management Co Ltd
Priority date: 2022-02-18
Filing date: 2022-02-18
Publication date: 2022-05-17

Abstract

The embodiment of the application belongs to the field of big data and relates to a staff workflow guiding method which comprises the steps of receiving a staff workflow guiding request; acquiring all process contents corresponding to the employee workflow guidance request from a database, determining a first sequence of each process content according to the weight data of each process content, and sequentially displaying each process content in the first sequence; and after receiving the employee workflow display stopping request, adjusting the weight data according to the browsed data of each flow content, reordering each flow content according to the adjusted weight data to obtain a second sequence, and displaying each flow content in the second sequence when receiving the same employee workflow guiding request. The application also provides a staff workflow guiding device, computer equipment and a storage medium. In addition, the application also relates to a block chain technology, and the process content, the weight data and the browsed data can be stored in the block chain. The method and the device improve the sequencing rationality of each process content.

Description

Employee workflow guiding method, device, equipment and storage medium

Technical Field

The present application relates to the field of big data technologies, and in particular, to a method and an apparatus for guiding a workflow of an employee, a computer device, and a storage medium.

Background

At present, the new employees are helped to be familiar with the processes of work and companies by means of the mode that old employees bring new employees, but a large amount of human resources are wasted, in the process that the new employees are familiar with the processes, the learned process contents are disordered and have no seal, the sequencing rationality is poor, the process familiarity efficiency of the new employees is low, meanwhile, the process handover and communication modes are low in efficiency, the phenomena of information omission and information inequality are prone to occur in the handover and communication processes, and the follow-up work is difficult to develop.

Disclosure of Invention

An embodiment of the application aims to provide a method and a device for guiding a workflow of an employee, a computer device and a storage medium, so as to solve the problems of messy display of workflow contents and poor sequencing rationality in the prior art.

In order to solve the above technical problem, an embodiment of the present application provides a method for guiding a workflow of an employee, which adopts the following technical solutions:

receiving a staff workflow guide request;

acquiring all process contents corresponding to the employee workflow guidance request from a database, determining a first sequence of each process content according to weight data of each process content, and sequentially displaying each process content according to the first sequence;

and after receiving a staff workflow display stopping request, adjusting the weight data according to the browsed data of each workflow content, and reordering each workflow content according to the adjusted weight data to obtain a second sequence, so that each workflow content is called to be displayed through the second sequence when the same staff workflow guiding request is received.

Further, the flow guide request comprises request text information and position information; the step of acquiring all process contents corresponding to the process guidance request from the database comprises the following steps:

acquiring a content set corresponding to the post information from the database, and acquiring a keyword corresponding to the request text information from a key dictionary;

and determining all process contents corresponding to the keywords from the content set.

Further, the weight data includes presentation information and weight parameters; the step of determining the first rank of each flow content according to the weight data of each flow content comprises:

acquiring display information of each flow content, and acquiring weight parameters of the keywords in each flow content;

respectively carrying out weighting processing on the weight parameters and the display parameters of the process contents to obtain calculated values;

and determining the first sequence of the process contents according to the calculated value.

Further, after the step of obtaining the keyword corresponding to the request text information from the keyword dictionary, the method further includes:

when the flow content corresponding to the keyword is not determined in the content set, performing word segmentation processing on the request text information to obtain a word segmentation set, wherein the word segmentation set comprises at least one word segmentation;

and matching all process contents including the participles from the content set.

Further, after the step of sequentially displaying the process contents in the first order, the method further includes:

after receiving a browsing request of an employee workflow, acquiring a content display mode of the workflow content;

and displaying the process content of the target according to the content display mode.

Further, the browsed data comprises a browsed time parameter; the weight data comprises a presentation time parameter; before the step after receiving the employee workflow display stop request, the method further comprises the following steps:

acquiring browsed time parameters of the process contents;

the step of adjusting the weight data according to the browsed data of each flow content includes:

and if the browsed time parameter meets a preset time threshold, taking the browsed time parameter as the display time parameter.

Further, the weight data further comprises a content volume parameter; before the step of determining if the browsed time parameter meets a preset time threshold, the method further includes:

and acquiring content quantity parameters of the browsed process content, and determining the preset time threshold according to the content quantity parameters.

In order to solve the above technical problem, an embodiment of the present application further provides an employee workflow guidance device, which adopts the following technical solutions:

the request receiving module is used for receiving a staff workflow guide request;

the content display module is used for acquiring all process contents corresponding to the process guiding request from a database, determining a first sequence of each process content according to the weight data of each process content, and sequentially displaying each process content in the first sequence; and

and the reordering module is used for adjusting the weight data according to the browsed data of each flow content after receiving a request for stopping displaying the employee workflow, and reordering each flow content according to the adjusted weight data to obtain a second ordering, so that each flow content is called to be displayed through the second ordering when the same employee workflow guiding request is received.

In order to solve the above technical problem, an embodiment of the present application further provides a computer device, which adopts the following technical solutions:

the memory has stored therein computer readable instructions which, when executed by the processor, implement the steps of the employee workflow guidance method as described above.

In order to solve the above technical problem, an embodiment of the present application further provides a computer-readable storage medium, which adopts the following technical solutions:

the computer readable storage medium has stored thereon computer readable instructions which, when executed by a processor, implement the steps of the employee workflow guidance method as described above.

Compared with the prior art, the embodiment of the application mainly has the following beneficial effects: receiving a flow guide request sent by staff work; acquiring all process contents corresponding to the employee workflow guidance request from a database, determining a first sequence of each process content according to weight data of each process content, and sequentially displaying each process content according to the first sequence; and after receiving a staff workflow display stopping request, adjusting the weight data according to the browsed data of each workflow content, and reordering each workflow content according to the adjusted weight data to obtain a second sequence, so that each workflow content is called to be displayed through the second sequence when the same staff workflow guiding request is received. According to the method and the device, the employee workflow guiding request is received, all the workflow contents corresponding to the workflow guiding request are obtained, all the workflow contents are sequenced according to the weight data of the workflow contents and then displayed in a first sequence, so that the employee can browse the target workflow contents by himself, the handover and communication of the workflow are simplified, the familiarity efficiency of the workflow is improved, meanwhile, after the employee workflow stopping displaying request is received, the weight data are adjusted according to the browsed data of all the workflow contents, the first sequence is adjusted to be a second sequence in the follow-up process, and the sequencing reasonability of all the workflow contents is further improved.

Drawings

In order to more clearly illustrate the solution of the present application, the drawings needed for describing the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.

FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;

FIG. 2 is a flow diagram of one embodiment of an employee workflow guidance method according to the present application;

FIG. 3 is a schematic diagram of the structure of one embodiment of an employee workflow guidance apparatus according to the present application;

FIG. 4 is a schematic block diagram of one embodiment of a computer device according to the present application.

Detailed Description

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "including" and "having," and any variations thereof, in the description and claims of this application and the description of the above figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of this application or in the above-described drawings are used for distinguishing between different objects and not for describing a particular order.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

As shown in fig. 1, the system architecture 100 may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. Various communication client applications, such as a web browser application, a shopping application, a search application, an instant messaging tool, a mailbox client, social platform software, etc., may be installed on the

terminal devices

101, 102, 103.

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, mpeg compression standard Audio Layer 3), MP4 players (Moving Picture Experts Group Audio Layer IV, mpeg compression standard Audio Layer 4), laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the

terminal devices

101, 102, 103.

It should be noted that, the employee workflow guidance method provided in the embodiment of the present application is generally executed by a server/terminal device, and accordingly, the employee workflow guidance apparatus is generally disposed in the server/terminal device.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

With continued reference to FIG. 2, a flow diagram of one embodiment of a method for employee workflow guidance in accordance with the present application is shown. The employee workflow guiding method comprises the following steps:

step S201, receiving an employee workflow guidance request.

In this embodiment, the flow guidance request includes request text information and position information; when the employee registers the employee terminal, collecting post information of the employee, wherein the post information comprises employee positions, employee grades and the like, for example, the employee belongs to an automobile insurance claim department, the positions are automobile insurance managers, and the employee grades are first-class automobile insurance claim persons; the employee can input request text information through voice input and text input, for example, text information about an insurance claim settlement processing flow is input, and then the employee end combines the request text information and the post information into a flow guide request and sends the flow guide request.

The employee terminal is a PC integrated with an input module, a mobile terminal (e.g., a mobile phone, a tablet) with a communication function, and the like, wherein the question answering device integrated with the input module may be a question answering system equipped with a touch screen and/or a voice system.

The electronic device (for example, the server/terminal device shown in fig. 1) on which the employee workflow guidance method operates may receive the workflow guidance request sent by the employee terminal through a wired connection manner or a wireless connection manner. It should be noted that the above-mentioned wireless connection modes may include, but are not limited to, 3G/4G/5G connection, WiFi connection, bluetooth connection, WiMAX connection, Zigbee connection, uwb (ultra wideband) connection, and other now known or later developed wireless connection modes.

Step S202, all process contents corresponding to the process guiding request are obtained from a database, a first sequence of each process content is determined according to the weight data of each process content, and then each process content is sequentially displayed in the first sequence.

In this embodiment, the weight data includes presentation information and a weight parameter, where the presentation information includes a presentation time parameter, a click volume parameter, and a content volume parameter, and please refer to the following text for a step of determining a first sequence of the process contents and a related description of the content volume parameter with respect to the presentation information and the weight parameter.

After the first sequence of each process content is determined, each process content is sequentially displayed in the first sequence, and in this step, each process content can also be arranged in the first sequence to form a display queue and sent to the employee side, and the employee side displays the display queue.

Step S203, after receiving the employee workflow display stopping request, adjusting the weight data according to the browsed data of each workflow content, and reordering each workflow content according to the adjusted weight data to obtain a second ordering, so that each workflow content is called to be displayed through the second ordering when the same employee workflow guiding request is received.

In this embodiment, the browsed data includes a browsed time parameter, a browse click parameter, and the like, where the browsed time parameter is characterized by a continuous browsing duration of the browsed process content, and the browse click parameter is characterized by a clicked number of the browsed process content in a current display process; when the current process content is initially displayed, the corresponding browsed data of each process content is 0, when the process content is browsed, the browsed data is generated, if the process content is clicked once, the browsing click parameter is increased by one, and if the process content is browsed, the browsing duration of the process content is acquired, so that the browsed time parameter is determined, and when the browsed data changes (if the process content is clicked and/or the process content is browsed), the weight data is adjusted according to the browsed data (specifically, the weight data is adjusted according to the browsed data, see the following description), so that when all the process content corresponding to the requested text information is displayed again, the display position of each process content is ensured to be reasonable.

According to the method and the device, the employee workflow guiding request is received, all the workflow contents corresponding to the workflow guiding request are obtained, all the workflow contents are sequenced according to the weight data of the workflow contents and then displayed in a first sequence, so that the employee can browse the target workflow contents by himself, the handover and communication of the workflow are simplified, the familiarity efficiency of the workflow is improved, meanwhile, after the employee workflow stopping displaying request is received, the weight data are adjusted according to the browsed data of all the workflow contents, the first sequence is adjusted to be a second sequence in the follow-up process, and the sequencing reasonability of all the workflow contents is further improved.

In some optional implementation manners of this embodiment, in step S202, the flow guidance request includes request text information and position information; the step of acquiring all process contents corresponding to the process guidance request from the database comprises the following steps:

In this embodiment, in the step of obtaining the content set corresponding to the position information from the database, the database includes a plurality of content sets, where the employee position and the employee level corresponding to each content set are different, and the content set includes at least one process content; or the database comprises a plurality of process contents, in practical application, all the process contents corresponding to the position information are obtained from the database, and then all the process contents corresponding to the position information are converged to form a content set.

Specifically, taking the database including a plurality of content sets as an example: initially, each flow content is divided according to the post information and the grade information of the staff, the post information and the grade information corresponding to each flow content are determined, and then each flow content is filed in a content set corresponding to the post information and the grade information of the flow content, for example, a five-level content set of the A post comprises flow contents of five levels and below five levels of the A post, and a four-level content set of the B post comprises flow contents of four levels and below four levels of the B post, so that matching between subsequent request text information and the flow contents is facilitated, and matching efficiency is improved. In practical application, if the post information of the employee is a third-level insurance claim person and the request text information is an insurance claim, all the process contents acquired from the third-level content set include a processing process of the insurance claim, an insurance claim case, a training course of the insurance claim, and a notice of the insurance claim.

Before the step of obtaining the keywords corresponding to the request text information from the keyword dictionary, a keyword dictionary needs to be constructed, specifically, the field to which the process content belongs is determined, and then keywords in the process content are extracted; in the step of determining the domain to which the flow content belongs, if the flow content is accompanied by a title, determining the domain to which the flow content belongs according to the title, and then extracting keywords in the flow content; and if the process content is not accompanied by the title, directly performing a step of extracting keywords in the process content to obtain the keyword with the maximum word frequency quantity in all the keywords to confirm the field of the process content. Specifically, when the flow content is accompanied by a title, if the title of the flow content is "processing flow of insurance claim", determining that the flow content belongs to the financial field according to keywords of "insurance" and "claim"; when the flow content is not attached with a title and keywords in the flow content are extracted, extracting the characters of the flow content in a character scanning mode, taking the characters with the word frequency larger than or equal to a preset value as the keywords, if the field of the flow content is required to be determined, determining the field of the flow content according to the keywords with the maximum word frequency quantity in all the obtained keywords, and if the determined keyword with the maximum word frequency quantity is insurance, determining the field of the flow content to be the financial field according to the keywords of the insurance. And then, carrying out statistics on the keywords of each process content to obtain a keyword dictionary, wherein one keyword corresponds to at least one process content.

After the key dictionary is constructed and obtained, after the keywords are determined in practical application, all the flow contents corresponding to the keywords can be determined from the content set according to the keywords.

It should be noted that the process content includes a document and/or a picture, and when the process content is a document, the document is subjected to keyword extraction processing in advance, and then the keywords of each process content are counted to obtain a key dictionary; when the flow content is a picture, the picture comprises characters, OCR character recognition is carried out on the picture in advance, keywords are extracted, then the keywords of each flow content are counted, and a key dictionary is obtained.

In some optional implementations, the weight data includes presentation information and a weight parameter; the step of determining the first rank of each flow content according to the weight data of each flow content includes:

and determining the first sequence of each process content according to the calculated value.

In this embodiment, the display information includes a display time parameter, a click rate parameter, a content parameter, and the like, and initially, that is, when the process content is not browsed, both the display time parameter and the click rate parameter are 0; in the above, the display time parameter is characterized by a browsing duration of the process content, and if the process content is browsed, the browsing time is 5 minutes; the click quantity parameter is characterized as the click quantity of the process content, the accumulated click quantity value is added by one after the process content is clicked each time, if the click quantity of the current process content is 10, the click quantity of the process content is 11 after the current process content is clicked again, and the like; the content quantity parameter is characterized as the content information quantity of the flow content, wherein the flow content is a text and/or an image, and when the flow content is a text, the content information quantity is characterized as the number of characters of the text; when the flow content is an image, the content information quantity is represented as the number of pictures of the image; when the flow content is a text and/or an image, the content information quantity is characterized by being the content quantity obtained by calculating the number of characters and the number of images in the flow content according to a preset proportion.

The weight parameters comprise word frequency quantity, updating date and the like, wherein the word frequency quantity is characterized by the occurrence frequency of the request text information in the flow content, and if the occurrence frequency of the flow guide request in the flow content is 10, the corresponding word frequency quantity is 10; wherein, the update date is characterized by the date of the first release of the process content or the date of the latest update.

In the step of obtaining the weight parameters of the keywords in each process content, if the correspondence degree between the extracted keywords and the field to which the process content belongs (please refer to the description of the field to which the keyword belongs) is higher, the weight parameters of the corresponding keywords are higher, otherwise, if the correspondence degree between the extracted keywords and the field to which the process content belongs is lower, the weight parameters of the corresponding keywords are lower; if the flow content is entitled "processing flow of insurance claims", the weighting parameters corresponding to the related keywords of "insurance" and "claims" in the flow content are higher, and the weighting parameters corresponding to "deposit" in the flow content are lower. Therefore, according to the degree of conformity between the keywords and the field to which the process content belongs, the accuracy of the display sequence of the subsequent process content is improved, and the matching accuracy of the process guidance request is improved.

In the step of obtaining the calculated values by weighting the weight parameters and the display parameters of the process contents, the display information obtained by each process content is multiplied by the weight parameters to obtain the calculated values, and then the calculated values are compared to sort the process contents in a manner that the calculated values are from high to low, so that the sorting position of the process contents can be determined.

It should be noted that the calculated value is characterized by the matching degree of the flow content and the flow guidance request; the basic rule is that the larger the calculated value is, the higher the matching degree of the flow content and the flow guide request is, whereas the smaller the calculated value is, the lower the matching degree of the flow content and the flow guide request is, so that the sorting position of the flow content in the display queue can be determined according to the calculated value of each flow content.

In some optional implementations, after the step of obtaining the keyword corresponding to the request text information from the keyword dictionary, the method further includes:

In this embodiment, the above steps are characterized as processing steps when the request text information is an unregistered word; specifically, the process guidance request is firstly subjected to word segmentation processing through a preset word segmentation model, if the request text information (the process guidance request comprises the request text information) is "insurance claim", the "insurance claim" is segmented into two words, namely "insurance" and "claim", and then all the process contents comprising the words, such as all the process contents comprising at least one word of the "insurance" and the "claim", are matched from the content set.

It should be noted that, continuing with the above "insurance claim" as an example, when the flow content includes two segments "insurance" and "claim" the weight is higher than that when the flow content includes only "insurance" or "claim", that is, the flow content including two segments "insurance" and "claim" is shown in a higher priority in practical applications.

In some optional implementations, after the step of sequentially presenting the flow contents in the first order, the method further includes:

In this embodiment, the content display mode may be at least one of a text display mode, a voice display mode and an image display mode, where the text display mode is a mode of displaying text information of the flow content, the voice display mode is a mode of displaying text information of the flow content through voice broadcasting, and the image display mode is a mode of displaying text content of the flow content through an image.

Furthermore, the content display mode of each process content further includes a scrolling display mode or a page turning display mode, when the scrolling display mode is adopted, the switching of each process content is realized through a mouse or a manual pull-down (or pull-up) mode, when the page turning display mode is adopted, each page displays at least one process content, and certainly, the complete content of the process content can also be displayed in each page, so that the user can browse conveniently.

In some optional implementation manners, in step S203, the browsed data includes a browsed time parameter; the weight data comprises a presentation time parameter; before the step after receiving the employee workflow display stop request, the method further comprises the following steps:

acquiring browsed time parameters of the process content;

In this embodiment, after the flow contents are sequentially displayed at the sorting positions of the flow contents, the clicked behavior of the flow contents is tracked, timing is started after any flow content is clicked, timing is stopped after the flow content is no longer browsed (for example, the current flow content display interface is exited or the flow content display interface is exited), time from browsing to browsing stop is used as a browsed time parameter, and then when the browsed time parameter is greater than or equal to a preset time threshold, the browsed time parameter is used as a display time parameter, so that the reasonability of determining the sorting positions of the flow contents next time is ensured.

It should be noted that, initially, that is, when the process content is not browsed, the display time parameter in the weight data is 0, when the process content is browsed, the browsed time parameter is obtained, and when the browsed time parameter is greater than or equal to the preset time threshold, the browsed time parameter is used as the display time parameter.

It is further described that, in the step of receiving the employee workflow display stopping request, the display stopping request may be generated in a state of exiting from the display interface of the current workflow content, or in a state of stopping the current workflow content from being displayed.

In some optional implementations, the weight data further includes a content volume parameter; before the step of determining if the browsed time parameter meets a preset time threshold, the method further includes:

In this embodiment, the content parameter is characterized as content information amount of the process content (see the above description specifically), and the content parameter corresponding to each process content is different, where the content parameter is larger if the text information of the process content a is more, and the content parameter is smaller if the text information of the process content B is less; therefore, the preset time thresholds corresponding to the process contents with different content quantity parameters are different, so as to ensure the reasonability of the sequencing position of the next process content after subsequent processing.

It is emphasized that, in order to further ensure the privacy and security of the process contents, the browsed data and the weighting data, the process contents, the browsed data and the weighting data can also be stored in a node of a block chain.

The block chain referred by the application 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.

The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.

The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware associated with computer readable instructions, which can be stored in a computer readable storage medium, and when executed, the processes of the embodiments of the methods described above can be included. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a Random Access Memory (RAM).

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless otherwise indicated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

With further reference to fig. 3, as an implementation of the method shown in fig. 2, the present application provides an embodiment of an employee workflow guidance apparatus, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied to various electronic devices.

As shown in fig. 3, the employee workflow guidance apparatus 300 according to the present embodiment includes: a request receiving module 301, a content presentation module 302, and a reordering module 303. Wherein:

a request receiving module 301, configured to receive an employee workflow guidance request;

a content display module 302, configured to obtain all process contents corresponding to the process guidance request from a database, determine a first sequence of each process content according to weight data of each process content, and sequentially display each process content in the first sequence; and

the reordering module 303 is configured to, after receiving a request for stopping displaying an employee workflow, adjust the weight data according to the browsed data of each workflow content, and reorder each workflow content according to the adjusted weight data to obtain a second ordering, so that when receiving the same employee workflow guidance request, each workflow content is called to be displayed according to the second ordering.

According to the method and the device, the employee workflow guiding request is received, all the workflow contents corresponding to the workflow guiding request are obtained, all the workflow contents are sequenced according to the weight data of the workflow contents and then displayed to the employee end in a first sequence, so that the employee can browse the target workflow contents by himself, the handover and communication of the workflow are simplified, the familiarity efficiency of the workflow is improved, and meanwhile, after the employee workflow stopping displaying request is received, the weight data is adjusted according to the browsed data of all the workflow contents, so that the first sequence is adjusted to be the second sequence in the follow-up process, and the sequencing reasonability of all the workflow contents is further improved.

In some optional implementations of this embodiment, the flow guidance request includes request text information and position information; the content display module 302 includes a keyword obtaining sub-module and a content determining sub-module. Wherein:

a keyword obtaining submodule, configured to obtain a content set corresponding to the post information from the database, and obtain a keyword corresponding to the request text information from a keyword dictionary;

and the content determining submodule is used for determining all process contents corresponding to the keywords from the content set.

In some optional implementation manners of this embodiment, the weight data includes presentation information and a weight parameter; the keyword acquisition submodule comprises a parameter acquisition unit, a weighting processing unit and a sequencing determination unit. Wherein:

the parameter acquisition unit is used for acquiring the display information of each flow content and acquiring the weight parameters of the keywords in each flow content;

the weighting processing unit is used for respectively carrying out weighting processing on the weighting parameters and the display parameters of the process contents to obtain calculated values;

and the sequencing determining unit is used for determining the first sequencing of each flow content according to the calculated value.

In some optional implementation manners of this embodiment, the content presentation module 302 further includes a word segmentation processing sub-module and a content matching sub-module. Wherein:

the word segmentation processing sub-module is used for carrying out word segmentation processing on the request text information to obtain a word segmentation set when the flow content corresponding to the keyword is not determined in the content set, wherein the word segmentation set comprises at least one word segmentation;

and the content matching sub-module is used for matching all the process contents including the participles from the content set.

In some optional implementation manners of this embodiment, the display device further includes a display manner obtaining module and a target content display module. Wherein:

the display mode acquisition module is used for receiving the employee workflow browsing request and then acquiring the content display mode of the workflow content;

and the target content display module is used for displaying the process content of the target according to the content display mode.

In some optional implementations of this embodiment, the browsed data includes a browsed time parameter; the weight data comprises a presentation time parameter; the device also comprises a time acquisition module. Wherein:

the time acquisition module is used for acquiring the browsed time parameter of the process content;

the reordering module comprises a parameter replacement submodule; wherein:

and the parameter replacement submodule is used for taking the browsed time parameter as the display time parameter if the browsed time parameter meets a preset time threshold value.

In some optional implementations of the present embodiment, the parameter replacement submodule includes a threshold determination unit. Wherein:

and the threshold value determining unit is used for acquiring content quantity parameters of the browsed process content and determining the preset time threshold value according to the content quantity parameters.

In order to solve the technical problem, an embodiment of the present application further provides a computer device. Referring to fig. 4, fig. 4 is a block diagram of a basic structure of a computer device according to the present embodiment.

The computer device 4 includes a memory 41, a processor 42, and a network interface 43 communicatively connected to each other via a system bus. It is noted that only computer device 4 having components 41-43 is shown, but it is understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead. As will be understood by those skilled in the art, the computer device is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.

The computer device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The computer equipment can carry out man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch panel or voice control equipment and the like.

The memory 41 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 41 may be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in 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 computer device 4. Of course, the memory 41 may also include both internal and external storage devices of the computer device 4. In this embodiment, the memory 41 is generally used for storing an operating system installed in the computer device 4 and various types of application software, such as computer readable instructions of the employee workflow guidance method. Further, the memory 41 may also be used to temporarily store various types of data that have been output or are to be output.

The processor 42 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 42 is typically used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is configured to execute the computer readable instructions stored in the memory 41 or process data, for example, execute the computer readable instructions of the employee workflow guidance method.

The network interface 43 may comprise a wireless network interface or a wired network interface, and the network interface 43 is generally used for establishing communication connection between the computer device 4 and other electronic devices.

The present application further provides another embodiment, which is to provide a computer-readable storage medium storing computer-readable instructions executable by at least one processor to cause the at least one processor to perform the steps of the employee workflow guidance method as described above.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.

It is to be understood that the above-described embodiments are merely illustrative of some, but not restrictive, of the broad invention, and that the appended drawings illustrate preferred embodiments of the invention and do not limit the scope of the invention. This application is capable of embodiments in many different forms and is provided for the purpose of enabling a thorough understanding of the disclosure of the application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.

Claims

1. The employee workflow guiding method is characterized by comprising the following steps:

receiving a staff workflow guide request;

2. The employee workflow guidance method of claim 1, wherein the workflow guidance request comprises a request text message and a position message; the step of acquiring all process contents corresponding to the process guidance request from the database comprises the following steps:

3. The employee workflow guidance method of claim 2 wherein the weighting data comprises presentation information and weighting parameters; the step of determining the first rank of each flow content according to the weight data of each flow content includes:

4. The employee workflow guidance method according to claim 2, wherein after the step of obtaining the keyword corresponding to the request text information from a keyword dictionary, the method further comprises:

5. The employee workflow guidance method according to any one of claims 1 to 4, further comprising, after the step of sequentially presenting each of the flow contents in the first order:

6. The employee workflow guidance method of any one of claims 1 to 4 wherein the browsed data comprises a browsed time parameter; the weight data comprises a presentation time parameter; before the step after receiving the employee workflow display stop request, the method further comprises the following steps:

acquiring browsed time parameters of the process content;

7. The employee workflow guidance method of claim 6 wherein the weight data further comprises a content volume parameter; before the step of determining if the browsed time parameter meets a preset time threshold, the method further includes:

8. An employee workflow guidance device, comprising:

and the reordering module is used for adjusting the weight data according to the browsed data of each flow content after receiving the employee workflow display stopping request, and reordering each flow content according to the adjusted weight data to obtain a second ordering, so that each flow content is called to be displayed through the second ordering when the same employee workflow guiding request is received.

9. A computer device comprising a memory having computer readable instructions stored therein and a processor which when executed implements the steps of the employee workflow guidance method of any one of claims 1 to 7.

10. A computer readable storage medium having computer readable instructions stored thereon which, when executed by a processor, implement the steps of the employee workflow guidance method of any one of claims 1 to 7.