Artificial intelligence-based entry and departure information management method and device, equipment and medium

Abstract

The invention provides an entry and demission information management method and device based on artificial intelligence, equipment and a medium. The method comprises the following steps: determining an entry request item or a demission request item selected by a target user at a first option as a first target item; obtaining first input information input by a target user; obtaining multiple pieces of option description information from the server based on the first target item to generate a corresponding second option, and constructing a target management interface; inputting the option description information and the first input information into the NLP model to extract second input information, and determining a second target item corresponding to a second option in the target management interface; and creating a target management record at the server. According to the technical scheme of the embodiment of the invention, the target user only needs to select the entry request or the demission request on the system entry interface, input the first input information under the prompt of the first input box, and automatically fill in the remaining information through the NLP model, so that the information processing efficiency of the entry process and the demission process can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of information processing technology, and in particular to an entry and exit information management method, device, equipment, and medium based on artificial intelligence. Background Art

[0002] There are many types of positions in property management companies, including not only formal contract workers, but also a large number of part-time or temporary workers. For different types of employees, the information required for entry and exit is different. With the promotion of online management, entry and exit procedures are gradually transferred from offline to online.

[0003] In the related technology, the operation interface of joining and leaving the company is mainly set up on the online system, and the employees upload relevant materials to the online system to complete the process. However, the existing online system can only collect and store information. After the employees complete the operation, they are not clear whether the processing is completed. In addition, some employees who are not familiar with electronic devices cannot complete the operation on their own, and the processing efficiency of entry and exit information is slow. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes an entry and exit information management method, device, equipment, and medium based on artificial intelligence, which can automatically fill in employee information in the entry and exit process and improve information processing efficiency.

[0005] In a first aspect, an embodiment of the present invention provides an artificial intelligence-based entry and exit information management method, which is applied to a user terminal, wherein the user terminal is communicatively connected to a server, and the method includes:

[0006] Constructing a system entry interface, generating a first option and a first input box in the system entry interface, and determining the entry request item or the resignation request item selected by the target user in the first option as the first target item;

[0007] generating first prompt information in the first input box, and obtaining first input information input by the target user in the first input box, wherein the first prompt information is used to indicate input content of the first input box, and the first prompt information corresponding to the employment request item and the resignation request item are different from each other;

[0008] Acquire multiple option description information from the server based on the first target item, generate corresponding second options according to each of the option description information, and construct a target management interface based on all of the second options, wherein the option description information corresponding to different first target items is different from each other;

[0009] Inputting the option description information and the first input information into a preset NLP model, extracting second input information corresponding to each of the option description information from the first input information based on the NLP model, and determining a second target item corresponding to the second option in the target management interface based on any of the second input information;

[0010] A target management record is created at the server based on the first target item, the first input information and the second target item.

[0011] According to some embodiments of the present invention, after determining a second target item corresponding to the second option in the target management interface based on any second input information, the method further includes:

[0012] Determining a third option from the target management interface, the third option being the second option for which the corresponding second input information cannot be extracted;

[0013] generating second prompt information based on the option description information of the third option, and displaying the second prompt information on the target management interface;

[0014] The third input information input by the target user in the third option is added to the target management record.

[0015] According to some embodiments of the present invention, after determining a second target item corresponding to the second option in the target management interface based on any second input information, the method further includes:

[0016] determining the second option filled in the second target item as a locked state;

[0017] When a modification request initiated based on any of the second options is obtained, the second option corresponding to the modification request is determined as a fourth option, and the fourth option is set to an editing state;

[0018] Based on a selection operation or an input operation of the target user on the fourth option, a new second target item of the fourth option is determined.

[0019] According to some embodiments of the present invention, the server is preset with a plurality of candidate training information, each of the candidate training information is associated with at least one second target item; when the first target item is the employment request item, after creating a target management record on the server based on the first target item, the first input information and the second target item, the method further includes:

[0020] constructing at least one training interface based on the target training information sent by the server, wherein the target training information is determined based on the second target item carried by the target management record;

[0021] When the training confirmation information triggered by the target user in each of the training interfaces is obtained, the training completion information is sent to the server so that the server archives the target management record.

[0022] According to some embodiments of the present invention, after archiving the target management record to the server, the method further includes:

[0023] The server obtains target position information from the second target item representing the job position;

[0024] Matching a target job pool from a plurality of candidate job pools based on the target job information, wherein the candidate job pool includes a plurality of assignable job description information;

[0025] At least one target job description information is determined from the target job pool, the target job description information is recorded in the target management record, and sent to the user terminal for display.

[0026] According to some embodiments of the present invention, when the first target item is the resignation request item, after creating a target management record on the server based on the first target item, the first input information and the second target item, the method further includes:

[0027] Acquire a target account from the second target item representing the user account, and acquire a target work record from the server based on the target account;

[0028] Inputting a plurality of preset indicators and the target work record into the NLP model, and extracting target indicator information corresponding to each of the preset indicators from the target work record;

[0029] All of the target indicator information is sent to the server, and the server feeds back target communication information based on the target indicator information and displays the target communication information.

[0030] According to some embodiments of the present invention, the server feeds back target communication information based on the target indicator information, including:

[0031] The server determines target department information based on the target account, and determines the current number of people and the required number of people based on the target department information;

[0032] If the current number of people is greater than or equal to the required number of people, acquiring the target communication information from a first communication information pool based on the target indicator information, wherein the first communication information pool includes a plurality of first candidate communication information, each of which is associated with a different combination of the target indicator information;

[0033] If the current number of people is less than the required number of people, the target communication information is obtained from a second communication information pool based on the target indicator information, wherein the second communication information pool includes multiple second candidate communication information, each second candidate communication information is associated with a different combination of the target indicator information, and the first candidate communication information and the second candidate communication information represent different emotion intensities.

[0034] In a second aspect, an embodiment of the present invention provides an entry and exit information management device based on artificial intelligence, comprising at least one control processor and a memory for communicating with the at least one control processor; the memory stores instructions executable by the at least one control processor, and the instructions are executed by the at least one control processor so that the at least one control processor can execute the entry and exit information management method based on artificial intelligence as described in the first aspect above.

[0035] In a third aspect, an embodiment of the present invention provides an electronic device, comprising the artificial intelligence-based entry and exit information management device as described in the second aspect above.

[0036] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to execute the artificial intelligence-based entry and exit information management method as described in the first aspect above.

[0037] According to the artificial intelligence-based entry and exit information management method of the embodiment of the present invention, there are at least the following beneficial effects: constructing a system entry interface, generating a first option and a first input box in the system entry interface, determining the entry request item or the exit request item selected by the target user in the first option as the first target item, wherein the first option includes the entry request item or the exit request item; generating first prompt information in the first input box, obtaining first input information input by the target user in the first input box, wherein the first prompt information is used to indicate the input content of the first input box, and the first prompt information corresponding to the entry request item and the exit request item are different from each other; based on the first target item The system obtains a plurality of option description information from the server, generates a corresponding second option according to each of the option description information, and constructs a target management interface based on all of the second options, wherein the option description information corresponding to different first target items is different from each other; the option description information and the first input information are input into a preset NLP model, and the second input information corresponding to each of the option description information is extracted from the first input information based on the NLP model, and the second target item corresponding to the second option is determined in the target management interface based on any of the second input information; and a target management record is created on the server based on the first target item, the first input information, and the second target item. According to the technical solution of an embodiment of the present invention, the target user only needs to select an entry request or a resignation request on the system entry interface, and input the first input information under the prompt of the first input box, and the remaining information is automatically filled in by the NLP model, which can effectively improve the information processing efficiency of the entry process and the resignation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a system architecture diagram provided by an embodiment of the present invention;

[0039] Figure 2 is a flow chart of an entry and exit information management method based on artificial intelligence provided by another embodiment of the present invention;

[0040] Figure 3 is a complete flow chart of an entry and exit information management method based on artificial intelligence provided by another embodiment of the present invention;

[0041] Figure 4 It is a structural diagram of an entry and exit information management device based on artificial intelligence provided by another embodiment of the present invention. DETAILED DESCRIPTION

[0042] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0043] In the description of the present invention, it should be understood that descriptions involving orientations, such as up, down, front, back, left, right, etc., and orientations or positional relationships indicated are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0044] In the description of the present invention, "several" means one or more, "more" means more than two, "greater than", "less than", "exceed" etc. are understood as not including the number itself, and "above", "below", "within" etc. are understood as including the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing the technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0045] In the description of the present invention, unless otherwise clearly defined, terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in the present invention based on the specific content of the technical solution.

[0046] The embodiment of the present invention provides an artificial intelligence-based entry and exit information management method, device, equipment, and medium, wherein the artificial intelligence-based entry and exit information management method includes: constructing a system entry interface, generating a first option and a first input box in the system entry interface, and determining the entry request item or the resignation request item selected by the target user in the first option as the first target item; generating first prompt information in the first input box, and obtaining the first input information input by the target user in the first input box, wherein the first prompt information is used to indicate the input content of the first input box, and the first prompt information corresponding to the entry request item and the resignation request item are different from each other; based on the first target item, the entry request item or the resignation request item is selected from the target user; The server obtains multiple option description information, generates corresponding second options according to each of the option description information, and constructs a target management interface based on all of the second options, wherein the option description information corresponding to different first target items are different from each other; the option description information and the first input information are input into a preset NLP model, and the second input information corresponding to each of the option description information is extracted from the first input information based on the NLP model, and the corresponding second target item of the second option is determined in the target management interface based on any of the second input information; a target management record is created on the server based on the first target item, the first input information, and the second target item. According to the technical solution of an embodiment of the present invention, the target user only needs to select an entry request or a resignation request on the system entry interface, and enter the first input information under the prompt of the first input box, and the remaining information is automatically filled in by the NLP model, which can effectively improve the information processing efficiency of the entry process and the resignation process.

[0047] First, refer to Figure 1 , Figure 1 The system architecture of the embodiment of the present invention includes a user terminal 10 and a server 20 , and the user terminal 10 is in communication connection with the server 20 .

[0048] It should be noted that the user terminal 10 may be any electronic device, such as a mobile phone, a computer, etc., and this embodiment does not limit the type of the user terminal 10 .

[0049] The following is based on the Figure 1 The system architecture diagram shown further illustrates the technical solution of the embodiment of the present invention.

[0050] Reference Figure 2 , Figure 2 A flowchart of an entry and exit information management method based on artificial intelligence provided by an embodiment of the present invention, the entry and exit information management method based on artificial intelligence includes but is not limited to the following steps:

[0051] S10, constructing a system entry interface, generating a first option and a first input box on the system entry interface, and determining the entry request item or the resignation request item selected by the target user in the first option as the first target item;

[0052] S20, generating first prompt information in a first input box, and obtaining first input information input by the target user in the first input box, wherein the first prompt information is used to indicate the input content of the first input box, and the first prompt information corresponding to the entry request item and the resignation request item are different from each other;

[0053] S30, acquiring multiple option description information from the server based on the first target item, generating corresponding second options according to each option description information, and constructing a target management interface based on all the second options, wherein the option description information corresponding to different first target items is different from each other;

[0054] S40, inputting the option description information and the first input information into a preset NLP model, extracting second input information corresponding to each option description information from the first input information based on the NLP model, and determining a second target item corresponding to the second option in the target management interface based on any second input information;

[0055] S50: Create a target management record on the server based on the first target item, the first input information and the second target item.

[0056] It should be noted that the user terminal can log in to the server by entering a URL, opening an APP, etc., and the server pushes the system entry interface to the user terminal, such as Figure 1 As shown, a first option and a first input box are displayed in the system entry interface. The first option includes two options: an entry request item and a resignation request item. The entry request item and the resignation request item can be described with intuitive characters, such as Figure 1 The following two options are used as shown to ensure that users do not make the wrong selection.

[0057] It should be noted that after selecting the first target item, the corresponding first prompt information is automatically obtained according to the first target item. In this embodiment, different first prompt information is preset for the entry request item and the resignation request item. The first prompt information corresponding to the entry request item is used to prompt the user to enter personal information, which is convenient for entering employee information; the first prompt information corresponding to the resignation request item is used to prompt the user to enter the reason for resignation, which is convenient for generating a resignation application form. The specific first prompt information can be set according to actual needs, and the first prompt information can be canceled after the user enters the first input information to avoid the first prompt information being mistakenly recognized as the first input information.

[0058] It should be noted that, under the prompt of the first prompt information, it is not necessarily ensured that the target user can enter the standard first input information. However, each user has different description habits, and the input first input information is not necessarily standard content. Therefore, this embodiment pre-sets the NLP model, and the target user can input the first input information according to his or her own description habits. After the user terminal obtains multiple option description information from the server according to the first target item, it obtains the second input information corresponding to each option description information from the first input information based on semantic recognition, and then converts the corresponding second input information into a standard output format, thereby realizing automatic filling in the second target item.

[0059] It should be noted that the option description information is the information that needs to be filled in for the corresponding request item, for example Figure 1 As shown, the first prompt information is to enter a personal profile. The personal profile entered by the target user needs to include name, gender, age, education, expected salary, etc., or in the resignation request item, the first prompt information is the reason for resignation, including salary demands, whether to change jobs, etc. After the user terminal sends the first target item to the server, the server feeds back the description information of each option corresponding to the first target item to the user terminal. The user terminal generates multiple second options based on the option description information, and then uses the NLP model to automatically fill in, without the user having to fill in multiple options in a complex way, thereby improving information processing efficiency.

[0060] For example, Figure 1 As shown, the first input information is "My name is A, male, born in year B, studying at school C, and employed in position D." The option description information includes "name", "gender", "age", "position" and "education level". Based on the NLP model, the corresponding fields are extracted as "A, male, year B, D, school C". On this basis, based on "year B", the age E is calculated as the corresponding second target item, and based on "school C", the educational level is identified as "undergraduate degree".

[0061] It should be noted that, after the user terminal automatically constructs multiple second options based on the first target item and automatically fills in the second target items of each second option in the target management interface, this embodiment creates a target management record on the server based on the first target item, the first input information and the second target item. The target management record can be automatically generated on the server. When the first target item is an entry request item, the target management record is an entry application. When the first target item is a resignation request item, the target management record is a resignation application. The specific record content can be adjusted according to actual needs.

[0062] In addition, in one embodiment, referring to Figure 3 After executing step S40, the method further includes but is not limited to the following steps:

[0063] S41, determining a third option from the target management interface, where the third option is the second option for which the corresponding second input information cannot be extracted;

[0064] S42, generating second prompt information based on the option description information of the third option, and displaying the second prompt information on the target management interface;

[0065] S43: Add the third input information input by the target user in the third option to the target management record.

[0066] It should be noted that, according to the description of the above embodiment, the first input information is input by the target user according to his / her own description habits, so it is very likely that at least one content that can be matched by the second option will be omitted. For example, if the gender is not entered in the above example, the second input information related to gender cannot be matched. After completing the filling of the second option in the target management interface, this embodiment automatically traverses each second option and determines the second option that does not extract the second input information as the third option. It is worth noting that not all the first input information in this embodiment is useful information. The target user can enter a text sequence that is not recognized by the NLP model as the second description information corresponding to the option description information. This embodiment does not classify and fill in all the contents of the first input information, but extracts valid information from the first input information.

[0067] It should be noted that after determining the third option, since the third option belongs to the second option, this embodiment generates a second prompt information based on the option description information corresponding to the third option, which is used to prompt the content that needs to be filled in the third option, ensuring that the target user completes the selection of the third option under the prompt of the second prompt information, and adds the third input information selected in the third option to the target management record to ensure the completeness of the information.

[0068] In addition, in one embodiment, referring to Figure 3 After executing step S40, the method further includes but is not limited to the following steps:

[0069] S44, determining the second option filled in the second target item as a locked state;

[0070] S45, when a modification request initiated based on any second option is obtained, the second option corresponding to the modification request is determined as the fourth option, and the fourth option is set to an editing state;

[0071] S46: Determine a new second target item of the fourth option based on the selection operation or input operation of the target user on the fourth option.

[0072] It should be noted that, in this embodiment, the second option that has been filled in according to the second input information is locked to prevent the target user from mistakenly modifying the second target item when he is not familiar with the operation of the electronic device, resulting in information entry errors.

[0073] It should be noted that although the second option has been filled in, the second input information is obtained based on language extraction by the NLP model, so there is also the possibility of similar word recognition errors. This embodiment sets a modification button on the side of each second option in the target management interface. After the target user clicks the modification button, a modification request for the corresponding second option is generated, and it is determined as the fourth option to be modified, and it is switched from the locked state to the edit state, so that the target user can perform secondary editing on the content of the fourth option to obtain a new second target item. The second target item can be obtained by selecting an option or by entering it in the input field, and no further restrictions are made here.

[0074] In addition, in one embodiment, referring to Figure 3 The server is preset with a plurality of candidate training information, each candidate training information is associated with at least one second target item; when the first target item is an employment request item, after executing step S50, the method further includes but is not limited to the following steps:

[0075] S61, constructing at least one training interface based on the target training information sent by the server, wherein the target training information is determined based on the second target item carried in the target management record;

[0076] S62, when the training confirmation information triggered by the target user in each training interface is obtained, the training completion information is sent to the server so that the server archives the target management record.

[0077] It should be noted that when applying for employment, when the server obtains the target management record, it can be determined that the target user's employment application form has been registered. The second target item is used to represent user information, such as the user's position. The server can determine the user's position through the second target item, and then push target training information to the user terminal to provide relevant on-the-job training for the target user. The target training information can be an employee manual or a skill manual in the form of an electronic document, and each training interface is a page of content.

[0078] It should be noted that after the target user completes the training of each training interface, the training confirmation information is triggered in the training interface. The training confirmation information can be triggered by clicking a button or turning pages. For example, after viewing a page of the employee manual, turn to the next page by pressing the page turning button, or trigger the training confirmation information by pressing the confirmation button. When the user terminal obtains the training confirmation information of all training interfaces, it is determined that the user has completed viewing the target training information, and sends the training completion information to the server. The server responds to the training completion information and then archives the target management record to ensure that the archived target management record contains all the information required for joining the company.

[0079] In addition, in one embodiment, referring to Figure 3 After executing step S62, the method further includes but is not limited to the following steps:

[0080] S63, the server obtains target position information from the second target item representing the job to be employed;

[0081] S64, matching a target job pool from a plurality of candidate job pools based on the target job information, wherein the candidate job pool includes a plurality of assignable job description information;

[0082] S65, determining at least one target job description information from the target job pool, recording the target job description information into the target management record, and sending it to the user terminal for display.

[0083] It should be noted that before applying for employment, the target user's job position is usually determined. Therefore, when filling in the first input information, the target user is prompted to provide a job description, and the second target item representing the job position is extracted through the NLP model. For example, if "joining a security position" or "joining the cleaning team" is recorded in the first input information, the second target item representing the position can be extracted as the target position information.

[0084] It should be noted that after determining the target position information, the present embodiment pre-sets a candidate position work pool corresponding to each position on the server, records the assignable work description information of the position in the candidate position work pool, and then automatically assigns at least one target work description information on the server, and records it in the target management record, thereby realizing automatic assignment of work after joining the company and avoiding manual assignment of repetitive work.

[0085] Exemplarily, taking the target job information as cleaning, the target job work pool is the cleaning work pool, and the assignable work description information includes lobby cleaning, parking space cleaning, community road cleaning, etc., from which lobby cleaning and parking space cleaning are determined as the target job description information, and the corresponding work is assigned to the target user.

[0086] In addition, in one embodiment, referring to Figure 3 When the first target item is a resignation request item, after executing step S50, the method further includes but is not limited to the following steps:

[0087] S71, obtaining a target account from a second target item representing a user account, and obtaining a target work record from a server based on the target account;

[0088] S72, inputting a plurality of preset indicators and target work records into the NLP model, and extracting target indicator information corresponding to each preset indicator from the target work record;

[0089] S73, sending all target indicator information to the server, and the server feeds back target communication information based on the target indicator information and displays the target communication information.

[0090] It should be noted that when the first target item is a resignation request item, the target management record of the target user is a resignation application form, the first input information is the reason for the resignation application, and the target user must be an employee who has already joined the company. Therefore, the second target item extracted by the NLP model at least includes the target account of the target user in the server, such as the employee ID. The target work records of the target user can be obtained from the server according to the target account, such as attendance records, daily work scores, work content and leadership evaluations, etc. The target work records can characterize the work performance of the target user during his or her tenure. Therefore, this embodiment further sets a plurality of preset indicators, and extracts information from the target work records based on the preset indicators through the NLP model to obtain the target indicator information corresponding to each preset indicator, such as extracting attendance rate through attendance records, extracting employee value scores through daily work scores, etc. The specific type of the preset indicator is not limited here, and it can be used to characterize the quality of the employee's work performance.

[0091] It should be noted that after determining multiple target indicator information, the user terminal sends the target indicator information to the server. The server feeds back target communication information based on the target indicator information, and displays the target communication information on the user terminal. Through the target communication information that is positively correlated with the target indicator information, secondary communication can be conducted with target users who have a tendency to leave. For example, the target indicator information characterizes the target user as an excellent employee, and the matched target communication information is a preset retention text, so the target user is retained through the retention text. For another example, the target indicator information characterizes the target user as a bad employee, and the matched target communication information is a preset blessing message, so as to improve the user experience of the target user in the overall process.

[0092] In addition, in one embodiment, referring to Figure 3 Step S73 specifically includes but is not limited to the following steps:

[0093] S731, the server determines the target department information based on the target account, and determines the current number of people and the required number of people based on the target department information;

[0094] S732, if the current number of people is greater than or equal to the required number of people, obtaining target communication information from a first communication information pool based on the target indicator information, wherein the first communication information pool includes a plurality of first candidate communication information, each first candidate communication information being associated with a different combination of target indicator information;

[0095] S733, if the current number of people is less than the required number of people, obtain target communication information from the second communication information pool based on the target indicator information, wherein the second communication information pool includes multiple second candidate communication information, each second candidate communication information is associated with a different combination of target indicator information, and the first candidate communication information and the second candidate communication information represent different emotion intensities.

[0096] It should be noted that in the resignation process, the corresponding target department information can be determined based on the target account. In this embodiment, the current number of people and the required number of people corresponding to the target department information are pre-set on the server. The target communication information is determined by comparing the number of people to ensure that the target communication information meets the number of people required. Based on this, in this embodiment, the first communication information pool and the second communication information pool are preset on the server. The first candidate communication information in the first communication information pool is used to represent the blessing emotion, and the second candidate communication information in the second communication information pool is used to represent the retention emotion.

[0097] It should be noted that when the current number of people is greater than or equal to the required number of people, it can be determined that the department where the target user is located has too many people, and the first candidate communication information representing the blessing emotion is obtained from the first communication information pool as the target communication information, and the combination of target indicator information corresponding to each first candidate communication information is different. For example, the target indicator information associated with the first candidate communication information 1 includes attendance rate and leadership score, and the target indicator information associated with the first candidate communication information 2 includes attendance rate and work score. After obtaining all the target indicator information, all the successfully matched first candidate communication information are determined as the target communication information. The successfully matched first candidate communication information may include multiple ones, and the specific number is not limited here.

[0098] It should be noted that when the current number of people is less than the required number of people, it can be determined that the department where the target user is located is short of staff, and the second candidate communication information representing the retention sentiment is obtained from the second communication information pool as the target communication information. The principle of associating multiple target indicator information with each second candidate communication information is described above and will not be repeated here.

[0099] like Figure 4 As shown, Figure 4 : is a structural diagram of an entry and exit information management device based on artificial intelligence provided by an embodiment of the present invention. The present invention also provides an entry and exit information management device based on artificial intelligence, including:

[0100] The processor 401 may be implemented by a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0101] The memory 402 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 402 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 402, and the processor 401 calls and executes the artificial intelligence-based entry and exit information management method of the embodiment of this application;

[0102] Input / output interface 403, used to implement information input and output;

[0103] Communication interface 404, used to realize communication interaction between the device and other devices, which can be realized through wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WI FI, Bluetooth, etc.);

[0104] Bus 405 , which transmits information between various components of the device (e.g., processor 401 , memory 402 , input / output interface 403 , and communication interface 404 );

[0105] The processor 401 , the memory 402 , the input / output interface 403 and the communication interface 404 are connected to each other in communication within the device via the bus 405 .

[0106] An embodiment of the present application also provides an electronic device, including the artificial intelligence-based entry and exit information management device as described above.

[0107] An embodiment of the present application also provides a storage medium, which is a computer-readable storage medium. The storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned artificial intelligence-based entry and exit information management method is implemented.

[0108] As a non-transient computer-readable storage medium, the memory can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage devices. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and are implemented to be located in one place, or may also be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0109] It will be appreciated by those skilled in the art that all or some of the steps and systems in the disclosed method above may be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that may be used to store desired information and may be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically include computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0110] The above is a specific description of the preferred implementation of the present invention, but the present invention is not limited to the above-mentioned implementation mode. Technical personnel familiar with the field can also make various equivalent deformations or substitutions under the shared conditions without violating the spirit of the present invention. These equivalent deformations or substitutions are all included in the scope defined by the claims of the present invention.

Claims

1. A method for managing employee entry and exit information based on artificial intelligence, characterized in that: Applied to a user terminal, the user terminal is communicatively connected to a server, and the method comprises: Constructing a system entry interface, generating a first option and a first input box in the system entry interface, and determining the entry request item or the resignation request item selected by the target user in the first option as the first target item; generating first prompt information in the first input box, and obtaining first input information input by the target user in the first input box, wherein the first prompt information is used to indicate input content of the first input box, and the first prompt information corresponding to the employment request item and the resignation request item are different from each other; Acquire multiple option description information from the server based on the first target item, generate corresponding second options according to each of the option description information, and construct a target management interface based on all of the second options, wherein the option description information corresponding to different first target items is different from each other; Inputting the option description information and the first input information into a preset NLP model, extracting second input information corresponding to each of the option description information from the first input information based on the NLP model, and determining a second target item corresponding to the second option in the target management interface based on any of the second input information; A target management record is created at the server based on the first target item, the first input information and the second target item.

2. The method for managing entry and exit information based on artificial intelligence according to claim 1, characterized in that: After determining a second target item corresponding to the second option in the target management interface based on any second input information, the method further includes: Determining a third option from the target management interface, the third option being the second option for which the corresponding second input information cannot be extracted; generating second prompt information based on the option description information of the third option, and displaying the second prompt information on the target management interface; The third input information input by the target user in the third option is added to the target management record.

3. The method for managing entry and exit information based on artificial intelligence according to claim 2, characterized in that: After determining a second target item corresponding to the second option in the target management interface based on any second input information, the method further includes: determining the second option filled in the second target item as a locked state; When a modification request initiated based on any of the second options is obtained, the second option corresponding to the modification request is determined as a fourth option, and the fourth option is set to an editing state; Based on a selection operation or an input operation of the target user on the fourth option, a new second target item of the fourth option is determined.

4. The method for managing entry and exit information based on artificial intelligence according to claim 1, characterized in that: The server is preset with a plurality of candidate training information, each of which is associated with at least one second target item; when the first target item is the employment request item, after creating a target management record on the server based on the first target item, the first input information and the second target item, the method further includes: constructing at least one training interface based on the target training information sent by the server, wherein the target training information is determined based on the second target item carried by the target management record; When the training confirmation information triggered by the target user in each of the training interfaces is obtained, the training completion information is sent to the server so that the server archives the target management record.

5. The method for managing entry and exit information based on artificial intelligence according to claim 4 is characterized in that: After archiving the target management record to the server, the method further includes: The server obtains target position information from the second target item representing the job position; Matching a target job pool from a plurality of candidate job pools based on the target job information, wherein the candidate job pool includes a plurality of assignable job description information; At least one target job description information is determined from the target job pool, the target job description information is recorded in the target management record, and sent to the user terminal for display.

6. The method for managing entry and exit information based on artificial intelligence according to claim 1, characterized in that: When the first target item is the resignation request item, after creating a target management record on the server based on the first target item, the first input information and the second target item, the method further includes: Acquire a target account from the second target item representing the user account, and acquire a target work record from the server based on the target account; Inputting a plurality of preset indicators and the target work record into the NLP model, and extracting target indicator information corresponding to each of the preset indicators from the target work record; All of the target indicator information is sent to the server, and the server feeds back target communication information based on the target indicator information and displays the target communication information.

7. The method for managing entry and exit information based on artificial intelligence according to claim 6, characterized in that: The server feeds back target communication information based on the target indicator information, including: The server determines target department information based on the target account, and determines the current number of people and the required number of people based on the target department information; If the current number of people is greater than or equal to the required number of people, acquiring the target communication information from a first communication information pool based on the target indicator information, wherein the first communication information pool includes a plurality of first candidate communication information, each of which is associated with a different combination of the target indicator information; If the current number of people is less than the required number of people, the target communication information is obtained from a second communication information pool based on the target indicator information, wherein the second communication information pool includes multiple second candidate communication information, each second candidate communication information is associated with a different combination of the target indicator information, and the first candidate communication information and the second candidate communication information represent different emotion intensities.

8. An artificial intelligence-based entry and exit information management device, characterized in that: It includes at least one control processor and a memory for communicating with the at least one control processor; the memory stores instructions that can be executed by the at least one control processor, and the instructions are executed by the at least one control processor so that the at least one control processor can execute the artificial intelligence-based entry and exit information management method as described in any one of claims 1 to 7.

9. An electronic device, characterized in that: Including the artificial intelligence-based entry and exit information management device as described in claim 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the artificial intelligence-based entry and exit information management method as described in any one of claims 1 to 7.

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