Method and system for automatically generating back call and visit conversational skill based on post information

Abstract

The invention provides a post information-based method and system for automatically generating back call and visit conversational skills. The method comprises the following steps: receiving an information record table of back-calling personnel, extracting key contents, and obtaining each job experience corresponding to each job company; corresponding back adjustment points are established on the basis of the job companies, back adjustment child nodes corresponding to different back adjustment attributes are sequentially established downwards along the back adjustment points on the basis of the job experiences, and the back adjustment attributes comprise subjective attributes and objective attributes; performing objective back-call operation on the job company corresponding to the back-call sub-node with the objective attribute, and performing authenticity evaluation on the first back-call result based on the job experience to obtain a first evaluation value; performing subjective back-call operation on the job company corresponding to the back-call sub-node with the subjective attribute, and performing quality evaluation on the second back-call result based on the job experience to obtain a second evaluation value; and determining a back tone score based on the first evaluation value and the second evaluation value. According to the invention, the back adjustment efficiency is at least improved.

Description

Technical Field

[0001] The present invention relates to data processing technology, and in particular to a method and system for automatically generating background check interview techniques based on job information. Background Art

[0002] Background investigation is an effective method to directly verify the factual information of candidates by conducting verification and comparison of personal background information submitted by the person being investigated through legal channels and methods by independent professional organizations relying on authoritative data sources and forming a background investigation report to assist the commissioned investigator in verifying its authenticity.

[0003] The inventors found in their research that existing background check methods are mostly conducted manually, which requires a large amount of manpower. There is an urgent need for an automated background check system to reduce certain labor costs and improve the corresponding background check efficiency. Summary of the invention

[0004] Based on the above problems, the present invention is proposed to provide a method and system for automatically generating background check interview techniques based on job information, which overcomes the above problems or at least partially solves the above problems.

[0005] According to one aspect of the present invention, a method for automatically generating background check interview techniques based on job information is provided, comprising the following steps: Receive the information record form configured by the background check personnel based on the personnel information, and extract the key content from the information record form to obtain the work experience corresponding to each company where he / she worked; Establishing one-to-one corresponding background adjustment points based on each employed company, and establishing background adjustment sub-nodes corresponding to different background adjustment attributes along each background adjustment point in sequence based on the employment experience corresponding to each employed company, wherein the background adjustment attributes include subjective attributes and objective attributes; Based on the background check sub-node corresponding to the objective attribute, an objective background check operation is performed on the company corresponding to the background check sub-node, and authenticity evaluation is performed on the obtained first background check result based on the corresponding employment experience to obtain a first evaluation value; Based on the background check sub-node corresponding to the subjective attribute, a subjective background check operation is performed on the company corresponding to the background check sub-node, and a quality evaluation is performed on the obtained second background check result based on the corresponding work experience to obtain a second evaluation value; A background check score corresponding to the background check person is determined based on the first evaluation value and the second evaluation value.

[0006] Optionally, in the method according to the present invention, an information record sheet configured based on personnel information by a background checker is received, and key contents are extracted from the information record sheet to obtain the work experience corresponding to each company where the person worked, including: Creating an initial record sheet, wherein the initial record sheet includes vertically arranged positions filling areas; The initial record form is sent to the background check terminal corresponding to the background check personnel, and in response to the background check terminal interacting with the initial record form, all the position filling areas in the initial record form are changed from an initial locked state to an edit state; In response to the information filling completion signal sent by the background check end based on the initial record form, all the position filling areas in the initial record form are changed from the edit state to the locked state, and the initial record form is acquired; Extract key contents from all the job filling areas in the initial record table to obtain the company and job experience corresponding to each job filling area; A service period corresponding to the service experience is acquired based on the service experience, and the initial record table is updated based on the service period to obtain a current record table.

[0007] Optionally, in the method according to the present invention, key contents are extracted from all the job filling areas in the initial record table to obtain the company and job experience corresponding to each job filling area, including: Inputting the filled characters in different job filling areas into the trained first semantic recognition model to obtain the recognition results corresponding to the different job filling areas; When the recognition result corresponding to any position filling area is that the position filling area only includes one company phrase, the company phrase is determined as the position company corresponding to the position filling area, and all the remaining filling characters in the position filling area are determined as the position experience; When the recognition result corresponding to any position filling area is that the position filling area includes two company phrases, the position filling area is extracted to the company determination layer for multi-dimensional specification identification, and the company determination layer is sent to the background check end. In response to the background check end's determination of any company phrase, the company phrase is determined as the position company corresponding to the position filling area, and all the remaining filled characters in the position filling area are determined as the position experience; When the recognition result corresponding to any position filling area is that the position filling area includes at least three company phrases, the number of adjacent characters between the company phrase at the first position, the company phrase at the last position and the adjacent company phrases are obtained, and the company phrase with the largest number of corresponding adjacent characters is determined as the position company corresponding to the position filling area, and all remaining filling characters in the position filling area are determined as work experience.

[0008] Optionally, in the method according to the present invention, acquiring a tenure period corresponding to the tenure experience based on the tenure experience, and updating the initial record table based on the tenure period to obtain a current record table includes: Inputting each of the employment experiences in different employment filling areas into the trained second semantic recognition model to obtain each employment period corresponding to the different employment experiences; Sorting all the post filling areas in the initial record table from top to bottom to obtain a first area sequence, and sorting each post filling area in the initial record table in chronological order based on each post period to obtain a second area sequence; Modifying the positions of all the job filling areas arranged vertically according to the first area sequence so that all the job filling areas are arranged vertically according to the second area sequence; In the initial record table, a period slot corresponding to each appointment filling area is generated, and each appointment period is filled into the corresponding period slot to obtain the current record table.

[0009] Optionally, in the method according to the present invention, a period slot corresponding to each service filling area is generated in the initial record table, and each service period is filled into the corresponding period slot, to obtain a current record table, including: Generate a separation area corresponding to each position filling area at the tail position of each position filling area along the second area sequence, and obtain a region center point corresponding to each position filling area; Taking the center point of the area as the starting point, establishing an area connection line extending to the separation area, and establishing a periodic slot with a preset horizontal length based on the end point of the line segment of the area connection line located in the separation area as the center; Filling each of the tenure periods into the corresponding period slots respectively, and obtaining each tenure duration corresponding to each tenure period respectively; Determine the tenure period with the shortest duration as the reference period corresponding to the preset horizontal length, and respectively determine the duration ratios between all remaining tenure periods and the reference period; Based on the product calculation of each time length ratio and the preset horizontal length, and based on the obtained adjusted horizontal lengths respectively corresponding to each cycle slot, each cycle slot is adjusted to obtain the current record table.

[0010] Optionally, in the method according to the present invention, the method further comprises: Determine the window period corresponding to the background check personnel based on each service period, and determine the two service periods on both sides of the window period as the first side period and the second side period respectively based on the time sequence; Generate a blank window filling area between the position filling area corresponding to the first side cycle and the position filling area corresponding to the second side cycle, and generate a blank window slot corresponding to the blank window filling area; The empty window period is filled into the empty window slot, and the initial record table is sent to the background check end to fill in the content based on the empty window filling period.

[0011] Optionally, in the method according to the present invention, one-to-one corresponding background adjustment points are established based on each employed company, and based on the employment experience corresponding to each employed company, background adjustment sub-nodes corresponding to different background adjustment attributes are sequentially established downward along each background adjustment point, wherein the background adjustment attributes include subjective attributes and objective attributes, including: Creating a background adjustment point display interface, and establishing background adjustment points corresponding to each employed company in the background adjustment point display interface based on the second region sequence; Determine the number of verification personnel involved in information verification based on each employment period corresponding to each employment company, and establish personnel nodes with the same number as the number of personnel downward along the corresponding back adjustment points; Based on all personnel nodes corresponding to the same background check point, background check sub-nodes corresponding to different background check attributes are established downward, and background check strategies corresponding to the background check attributes are configured for the background check sub-nodes, wherein the background check attributes include subjective attributes and objective attributes; The background adjustment point display interface is sent to the background adjustment end, and the background adjustment end obtains the information of each person uploaded by each person node corresponding to different background adjustment points.

[0012] Optionally, in the method according to the present invention, configuring a background adjustment strategy corresponding to the background adjustment attribute for the background adjustment sub-node includes: When the background check attribute of any background check sub-node is a subjective attribute, a background check script group including at least one preset subjective interview is obtained; Establishing each subjective interview node corresponding to the background check speech group along the corresponding background check sub-node downward, and configuring each subjective interview node to play all preset subjective interviews in the background check speech group in sequence in response to a contact operation of a verification person corresponding to any personnel information; After completing the voice playback of each preset subjective interview, obtaining the interview feedback voice corresponding to the verification personnel, and establishing an interview feedback node along the corresponding subjective interview node based on the interview feedback voice; When the background check attribute of any background check sub-node is an objective attribute, objective elements corresponding to different objective issues are extracted based on the employment experience; Generate corresponding objective questions based on each objective element, and generate background adjustment answers corresponding to different answer attributes based on the objective elements corresponding to each objective question, wherein the answer attributes include correct attributes and incorrect attributes; The objective questions and background check answers corresponding to the same objective element are combined, and all the objective questions corresponding to the same background check sub-node are determined as an objective question group; Establishing each objective determination node corresponding to the objective question group along the corresponding background tone sub-node downward, and determining each objective determination node to respond to the contact operation of the verification personnel corresponding to any personnel information to play all objective questions in the objective question group in sequence by voice; After completing the voice playback for each objective question, the question feedback voice corresponding to the verification personnel is obtained, and a question feedback node is established along the corresponding objective determination node based on the question feedback voice.

[0013] Optionally, in the method according to the present invention, performing an authenticity evaluation on the obtained first background check result based on the corresponding employment experience to obtain a first evaluation value includes: Determine a feedback answer corresponding to the verification person based on the question feedback voice corresponding to each objective question; Comparing the background check answer with the correct attributes corresponding to the objective question with the feedback answer, and determining the correctness rate of the answer corresponding to the verification person based on the comparison result; Performing normalization processing based on the answer accuracy rate, and multiplying the normalized answer accuracy rate by the retrieved objective weight to obtain objective evaluation values ​​corresponding to each objective determination node; The objective evaluation values ​​are averaged to obtain a first evaluation value corresponding to the work experience.

[0014] Optionally, in the method according to the present invention, performing a quality evaluation on the obtained second background check result based on the corresponding work experience to obtain a second evaluation value includes: The background adjustment point display interface is sent to the subjective evaluation end, and in response to the interaction of the subjective evaluation end with each interview feedback node, the interview feedback voice corresponding to the interview feedback node is retrieved for playback; Obtaining the subjective evaluation value uploaded by the subjective evaluation end based on each interview feedback voice, and obtaining each subjective evaluation value corresponding to each interview feedback node; The subjective evaluation values ​​are averaged to obtain a second evaluation value corresponding to the job experience.

[0015] According to another aspect of the present invention, a system for automatically generating background check interview techniques based on job information is provided, comprising: The extraction module is configured to receive the information record form configured by the background check personnel based on the personnel information, and extract key contents from the information record form to obtain the work experience corresponding to each company where he / she worked; The background check configuration module is configured to establish one-to-one corresponding background check points based on each company where the employee works, and to sequentially establish background check sub-nodes corresponding to different background check attributes along each background check point based on the work experience corresponding to each company where the employee works, wherein the background check attributes include subjective attributes and objective attributes; A first evaluation module is configured to perform an objective background check operation on the company corresponding to the background check sub-node based on the background check sub-node corresponding to the objective attribute, and to perform an authenticity evaluation on the obtained first background check result based on the corresponding employment experience to obtain a first evaluation value; The second evaluation module is configured to perform a subjective background check operation on the company corresponding to the background check sub-node based on the background check sub-node corresponding to the subjective attribute, and perform a quality evaluation on the obtained second background check result based on the corresponding work experience to obtain a second evaluation value; The scoring determination module is configured to determine the background check score corresponding to the background check person based on the first evaluation value and the second evaluation value.

[0016] According to the solution of the present invention, the server can receive the information record table of the background check personnel, and extract the key content in the information record table, so as to obtain the respective employment experiences corresponding to the respective employment companies. The present invention can also, when the employment period of the background check personnel is longer, the horizontal length of the period slot corresponding to it in the current record table is also longer, so that the subsequent management end can quickly clarify the length of the employment period of the background check end. And after obtaining the employment experience of the background check personnel in each employment company, the present invention will first establish each background adjustment point corresponding to each employment company one by one, so that the subsequent server will carry out the corresponding background check on the employment experience of the background check personnel according to each background adjustment point. Then, the server will sequentially establish the background adjustment sub-nodes corresponding to different background adjustment attributes along each background adjustment point downward according to the employment experience corresponding to each employment company, and the background adjustment attributes include subjective attributes and objective attributes. The server will perform an objective background check operation on the company corresponding to the background check sub-node whose background check attribute is an objective attribute, to obtain the first background check result, and conduct an authenticity evaluation on the first background check result obtained according to the corresponding work experience, thereby obtaining a first evaluation value; and perform a subjective background check operation on the company corresponding to the background check sub-node whose background check attribute is a subjective attribute, to obtain the second background check result, and conduct a quality evaluation on the second background check result obtained according to the corresponding work experience, thereby obtaining a second evaluation value. Finally, the server will determine the background check score of the background check personnel based on the first evaluation value and the second evaluation value. The present invention can greatly improve the efficiency of background checks, and the background check score is relatively objective and has a certain reference value. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flowchart of a method for automatically generating background check interview techniques based on job information according to an embodiment of the present invention is shown; Figure 2 A schematic diagram of a periodic slot according to an embodiment of the present invention is shown; Figure 3 A schematic diagram showing a back adjustment point display interface according to an embodiment of the present invention is shown; Figure 4 A structural block diagram of a system for automatically generating background check interview techniques based on job information according to another embodiment of the present invention is shown. DETAILED DESCRIPTION

[0018] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0019] Background investigation is an effective method to directly verify the factual information of candidates by conducting verification and comparison of personal background information submitted by the person being investigated through legal channels and methods by independent professional organizations relying on authoritative data sources and forming a background investigation report to assist the commissioned investigator in verifying its authenticity.

[0020] The inventors found in their research that existing background check methods are mostly conducted manually, which requires a large amount of manpower. There is an urgent need for an automated background check system to reduce certain labor costs and improve the corresponding background check efficiency.

[0021] To solve the above problems in the prior art, the inventor proposes the solution of the present invention. An embodiment of the present invention provides a method for automatically generating background check interview techniques based on job information, which can be executed in a computing device.

[0022] Figure 1 A flowchart of a method for automatically generating background check interview techniques based on job information according to an embodiment of the present invention is shown. The method is suitable for execution in a computing device, wherein the computing device can be understood as a terminal with data processing, such as a mobile phone or a computer.

[0023] like Figure 1 As shown, the purpose of this embodiment is to implement a method for automatically generating background check interview techniques based on job information, starting from step S102. In step S102, the following contents are included: Receive the information record form configured by the background check personnel based on the personnel information, extract the key content from the information record form, and obtain the work experience corresponding to each company where he / she worked.

[0024] For example, in this embodiment, the background check personnel can be understood as candidates who participate in the job application. The background check personnel will fill in their basic information in the corresponding information record form, such as filling in their working companies and positions and other related working experiences. Then, after receiving the information record form of the background check personnel, the server will extract the key content in the information record form to obtain the working experiences corresponding to each working company.

[0025] Furthermore, the above-mentioned “receiving the information record form configured by the background check personnel based on the personnel information, and extracting the key contents of the information record form to obtain the respective employment experiences corresponding to the respective companies” also includes the following steps: Creating an initial record sheet, wherein the initial record sheet includes vertically arranged positions filling areas; The initial record form is sent to the background check terminal corresponding to the background check personnel, and in response to the background check terminal interacting with the initial record form, all the position filling areas in the initial record form are changed from an initial locked state to an edit state; In response to the information filling completion signal sent by the background check end based on the initial record form, all the position filling areas in the initial record form are changed from the edit state to the locked state, and the initial record form is acquired; Extract key contents from all the job filling areas in the initial record table to obtain the company and job experience corresponding to each job filling area; A service period corresponding to the service experience is acquired based on the service experience, and the initial record table is updated based on the service period to obtain a current record table.

[0026] For example, in this embodiment, the server will first create an initial record sheet, which includes various position filling areas arranged vertically, so as to facilitate the subsequent background check personnel to fill in the job experience. Then, the server will send the initial record sheet to the background check terminal of the background check personnel, which can be understood as the background check personnel's mobile phone or computer. When the background check personnel receives the initial record sheet and starts to fill it out, they can interact with the initial record sheet through the background check terminal. At this time, the server will change all the position filling areas in the initial record sheet from the initial locked state to the edit state, so that the background check terminal can start to fill in the job experience.

[0027] When the background check terminal has completed filling, a signal of information filling completion can be sent. At this time, the server will receive the signal of information filling completion sent by the background check terminal based on the initial record form, and change all the service filling areas in the initial record form from the edit state to the locked state, so as to prevent the service experience filled in by the background check terminal from being tampered by other terminals.

[0028] Then, the server will obtain the initial record table and extract the key content of all the job filling areas in the initial record table, so as to obtain the company and job experience corresponding to each job filling area. Then, the job period corresponding to the job experience is obtained according to the job experience, for example, the job period is from January 1, 2020 to January 1, 2021. Then, the server will update the initial record table according to the job period to obtain the current record table.

[0029] Furthermore, the above-mentioned "extracting key contents from all the job filling areas in the initial record table to obtain the company and job experience corresponding to each job filling area" also includes the following steps: Inputting the filled characters in different job filling areas into the trained first semantic recognition model to obtain the recognition results corresponding to the different job filling areas; When the recognition result corresponding to any position filling area is that the position filling area only includes one company phrase, the company phrase is determined as the position company corresponding to the position filling area, and all the remaining filling characters in the position filling area are determined as the position experience; When the recognition result corresponding to any position filling area is that the position filling area includes two company phrases, the position filling area is extracted to the company determination layer for multi-dimensional specification identification, and the company determination layer is sent to the background check end. In response to the background check end's determination of any company phrase, the company phrase is determined as the position company corresponding to the position filling area, and all the remaining filled characters in the position filling area are determined as the position experience; When the recognition result corresponding to any position filling area is that the position filling area includes at least three company phrases, the number of adjacent characters between the company phrase at the first position, the company phrase at the last position and the adjacent company phrases are obtained, and the company phrase with the largest number of corresponding adjacent characters is determined as the position company corresponding to the position filling area, and all remaining filling characters in the position filling area are determined as work experience.

[0030] For example, in this embodiment, after obtaining the initial record table, the server will first input the characters in different job filling areas into the trained first semantic recognition model, so as to identify how many company phrases are contained in each job filling area. The company phrase can be understood as the suffix of the company name, such as limited liability company, joint stock company, factory, center, office, etc. Thus, the server can obtain the recognition results corresponding to different job filling areas.

[0031] When the recognition result corresponding to any position filling area is that the position filling area only includes a company phrase, the server will determine the company phrase as the position company corresponding to the position filling area, and determine all remaining filled characters in the position filling area as work experience.

[0032] Since the background check terminal may be assigned to Company B during the period of employment at Company A, when the recognition result corresponding to any position filling area is that the position filling area includes two company phrases, the server cannot directly determine which company is the company where the background check terminal is employed. Therefore, the server will extract the position filling area to the company determination layer, and mark the two company phrases with multi-dimensional specifications, such as bolding the font, enlarging the font, or changing the color of the characters, so as to play a certain identification role. Then, the server will send the company determination layer to the background check terminal, so that the background check terminal can select and determine the company where it is employed. When the background check terminal selects any company phrase, the server will determine the company phrase as the company corresponding to the position filling area, and determine all the remaining filled characters in the position filling area as employment experience.

[0033] The background check end may also appear when working at Company A, and will have business cooperation with Company B and Company C. Therefore, when the recognition result corresponding to any of the job filling areas is that the job filling area includes at least three company phrases, the server also needs to further determine which company is the company of the background check end. According to the conventional writing logic, usually the specific content of one's job in Company A is introduced first, and then the company of cooperation is described. For example: My job position in Company A is XXX, and the main work content is XXX. During the tenure, I have completed projects such as XXX, and have business cooperation with Company B and Company C. That is, the number of characters edited after the company will be large, and the cooperative companies will be listed in one sentence, that is, the number of characters between the cooperative companies will be small. This embodiment is based on this writing logic to determine which company is the company of the background check end. First, the server will obtain the number of adjacent characters between the company phrase at the first position and the company phrase at the last position and the adjacent company phrase, and determine the company phrase with the largest number of corresponding adjacent characters as the company corresponding to the job filling area, and determine all the remaining filled characters in the job filling area as the job experience.

[0034] This embodiment can take into account the different numbers of company phrases that may appear in the position filling area, and formulate different methods to determine the position company, which has a certain degree of accuracy.

[0035] Furthermore, the above-mentioned “obtaining a service period corresponding to the service experience based on the service experience, and updating the initial record table based on the service period to obtain a current record table” further includes the following steps: Inputting each of the employment experiences in different employment filling areas into the trained second semantic recognition model to obtain each employment period corresponding to the different employment experiences; Sorting all the post filling areas in the initial record table from top to bottom to obtain a first area sequence, and sorting each post filling area in the initial record table in chronological order based on each post period to obtain a second area sequence; Modifying the positions of all the job filling areas arranged vertically according to the first area sequence so that all the job filling areas are arranged vertically according to the second area sequence; In the initial record table, a period slot corresponding to each appointment filling area is generated, and each appointment period is filled into the corresponding period slot to obtain the current record table.

[0036] For example, in this embodiment, in order to avoid the background check end not filling in the corresponding information in the order of the tenure time, the server will first input the various tenure experiences in different tenure filling areas into the trained second semantic recognition model, so as to obtain the various tenure periods corresponding to the different tenure experiences. Then, the server will sort all the tenure filling areas in the initial record table from top to bottom, so as to obtain the first area sequence, and then sort the various tenure filling areas in the initial record table according to the time order of each tenure period, so as to obtain the second area sequence.

[0037] At this time, the server will modify the positions of all the job filling areas arranged vertically according to the first area sequence, and all the job filling areas after the position modification will be arranged vertically according to the second area sequence. Then, the server will generate a period slot corresponding to each job filling area in the initial record table, and fill each job period into the corresponding period slot, thereby obtaining the current record table.

[0038] Furthermore, the above-mentioned "generating a period slot corresponding to each service filling area in the initial record table, and filling each service period into the corresponding period slot, to obtain the current record table" also includes the following steps: Generate a separation area corresponding to each position filling area at the tail position of each position filling area along the second area sequence, and obtain a region center point corresponding to each position filling area; Taking the center point of the area as the starting point, establishing an area connection line extending to the separation area, and establishing a periodic slot with a preset horizontal length based on the end point of the line segment of the area connection line located in the separation area as the center; Filling each of the tenure periods into the corresponding period slots respectively, and obtaining each tenure duration corresponding to each tenure period respectively; Determine the tenure period with the shortest duration as the reference period corresponding to the preset horizontal length, and respectively determine the duration ratios between all remaining tenure periods and the reference period; Based on the product calculation of each time length ratio and the preset horizontal length, and based on the obtained adjusted horizontal lengths respectively corresponding to each cycle slot, each cycle slot is adjusted to obtain the current record table.

[0039] For example, in this embodiment, the server generates a separation area corresponding to each position filling area at the end of each position filling area according to the second area sequence, that is, the separation area corresponding to each position filling area is close to the lower edge line of the position filling area.

[0040] Then, the server will obtain the regional center point of the position filling area, and establish a regional connection line extending to the separation area with the regional center point as the starting point, and then establish a period slot with a preset horizontal length with the endpoint of the regional connection line located in the separation area as the center, such as Figure 2 As shown. Since the period slot is used to fill the tenure period, the preset horizontal length is set according to the number of characters in the tenure period. For example, the tenure period is usually expressed as XX-XX-XX to XX-XX-XX, and the preset horizontal length can accommodate these 13 characters.

[0041] Next, the server will fill each tenure period into the corresponding period slot, and obtain the tenure duration corresponding to each tenure period. For example, if the tenure period is from January 1, 2020 to January 1, 2021, the corresponding tenure duration is 1 year. Then, the server will determine the tenure period with the smallest corresponding duration as the benchmark period corresponding to the preset horizontal length. For example, if the shortest tenure duration is 1 year, then the tenure period corresponding to the tenure duration will be determined as the benchmark period. Next, the server will determine the duration ratios between all remaining tenure periods and the benchmark period. For example, if the tenure duration corresponding to one of the remaining tenure periods is 2 years, then the duration ratio between the tenure period and the benchmark period is 2:1. Next, the server will multiply each duration ratio by the preset horizontal length, and adjust each period slot based on the obtained adjusted horizontal lengths corresponding to each period slot, thereby obtaining the current record table. For example, if the preset horizontal length is 1 cm and the ratio of the service cycle to the benchmark cycle is 2:1, the server will use the formula 2×1=2 (cm) to multiply the ratio by the preset horizontal length. Then 2 cm is the adjusted horizontal length of the cycle slot corresponding to the service cycle. At this time, the server will adjust the horizontal length of the cycle slot to 2 cm.

[0042] This embodiment enables the horizontal length of the corresponding period slot in the current record table to be longer when the term of office is longer, so that the subsequent management end can quickly determine the length of the term of office of the background check end, thereby improving work efficiency to a certain extent.

[0043] Furthermore, the above method further comprises the following steps: Determine the window period corresponding to the background check personnel based on each service period, and determine the two service periods on both sides of the window period as the first side period and the second side period respectively based on the time sequence; Generate a blank window filling area between the position filling area corresponding to the first side cycle and the position filling area corresponding to the second side cycle, and generate a blank window slot corresponding to the blank window filling area; The empty window period is filled into the empty window slot, and the initial record table is sent to the background check end to fill in the content based on the empty window filling period.

[0044] For example, in this embodiment, since some background check terminals may have a window period, that is, a window cycle, the server will further investigate the window cycle of the background check terminal.

[0045] First, the server will determine the window period of the background check personnel according to the various tenure periods of the background check terminal, and determine the two tenure periods on both sides of the window period as the first side period and the second side period in chronological order. Then, the server will generate a window filling area between the tenure filling area corresponding to the first side period and the tenure filling area corresponding to the second side period, and generate a window slot corresponding to the window filling area. Next, the server will fill the window period into the window slot and send the initial record table to the background check terminal. When the background check terminal receives the initial record table, it can fill in the relevant content during the window filling period.

[0046] In step S104, the following contents are included: Based on each employed company, one-to-one corresponding background adjustment points are respectively established, and based on the work experience corresponding to each employed company, background adjustment sub-nodes corresponding to different background adjustment attributes are sequentially established downward along each background adjustment point, wherein the background adjustment attributes include subjective attributes and objective attributes.

[0047] For example, in this embodiment, after obtaining the background check personnel's work experience in various companies, the server will first establish background check points corresponding to each company, such as Figure 3 The background adjustment point A and the background adjustment point B shown enable the subsequent server to conduct corresponding background checks on the background check personnel's work experience based on each background adjustment point.

[0048] Then, the server will establish background check sub-nodes corresponding to different background check attributes along each background check node according to the employment experience corresponding to each company. The background check attributes include subjective attributes and objective attributes. Because when conducting a corresponding background check on the employment experience of the background check personnel, it is necessary not only to investigate the evaluation of the background check personnel by other employees in the company, that is, the subjective attribute, but also to investigate the employment status of the background check personnel, such as whether the background check personnel is a supervisor, etc., that is, the objective attribute.

[0049] Furthermore, the above-mentioned "establishing one-to-one corresponding background adjustment points based on each employed company, and establishing background adjustment sub-nodes corresponding to different background adjustment attributes along each background adjustment point in sequence based on the employment experience corresponding to each employed company, wherein the background adjustment attributes include subjective attributes and objective attributes" also includes the following steps: Creating a background adjustment point display interface, and establishing background adjustment points corresponding to each employed company in the background adjustment point display interface based on the second region sequence; Determine the number of verification personnel involved in information verification based on each employment period corresponding to each employment company, and establish personnel nodes with the same number as the number of personnel downward along the corresponding back adjustment points; Based on all personnel nodes corresponding to the same background check point, background check sub-nodes corresponding to different background check attributes are established downward, and background check strategies corresponding to the background check attributes are configured for the background check sub-nodes, wherein the background check attributes include subjective attributes and objective attributes; The background adjustment point display interface is sent to the background adjustment end, and the background adjustment end obtains the information of each person uploaded by each person node corresponding to different background adjustment points.

[0050] For example, in this embodiment, after obtaining the background check personnel's work experience in various companies, the server will first create a background adjustment point display interface, and establish background adjustment points corresponding to each company in the background adjustment point display interface according to the second area sequence.

[0051] In order to ensure the integrity and authenticity of the background check, when the background check end has a long tenure, multiple employees of the company where the end-user works will be required to participate in the information verification, that is, multiple verification personnel are required. Therefore, the server will determine the number of verification personnel involved in the information verification based on the background check end's tenure in each company. For example, if the background check end has worked in Company A for 3 years, the number of verification personnel is 3; if the background check end has worked in Company B for 2 years, the number of verification personnel is 2. Then, the server will establish the same number of personnel nodes as the number of personnel along the corresponding background check adjustment points, such as Figure 3 A-1 and other personnel nodes are shown.

[0052] Next, the server will send the background adjustment point display interface to the background adjustment end. When the background adjustment end receives the background adjustment point display interface, it can fill in the corresponding personnel information according to the personnel nodes corresponding to different background adjustment points, such as the work phone number of the verification personnel. Then, the server will obtain the personnel information.

[0053] Furthermore, the above-mentioned “configuring the background adjustment strategy corresponding to the background adjustment attribute for the background adjustment sub-node” further includes the following steps: When the background check attribute of any background check sub-node is a subjective attribute, a background check script group including at least one preset subjective interview is obtained; Establishing each subjective interview node corresponding to the background check speech group along the corresponding background check sub-node downward, and configuring each subjective interview node to play all preset subjective interviews in the background check speech group in sequence in response to a contact operation of a verification person corresponding to any personnel information; After completing the voice playback of each preset subjective interview, obtaining the interview feedback voice corresponding to the verification personnel, and establishing an interview feedback node along the corresponding subjective interview node based on the interview feedback voice; When the background check attribute of any background check sub-node is an objective attribute, objective elements corresponding to different objective issues are extracted based on the employment experience; Generate corresponding objective questions based on each objective element, and generate background adjustment answers corresponding to different answer attributes based on the objective elements corresponding to each objective question, wherein the answer attributes include correct attributes and incorrect attributes; The objective questions and background check answers corresponding to the same objective element are combined, and all the objective questions corresponding to the same background check sub-node are determined as an objective question group; Establishing each objective determination node corresponding to the objective question group along the corresponding background tone sub-node downward, and determining each objective determination node to respond to the contact operation of the verification personnel corresponding to any personnel information to play all objective questions in the objective question group in sequence by voice; After completing the voice playback for each objective question, the question feedback voice corresponding to the verification personnel is obtained, and a question feedback node is established along the corresponding objective determination node based on the question feedback voice.

[0054] For example, in this embodiment, when the background check attribute of any background check sub-node is a subjective attribute, the server will obtain a background check script group including at least one preset subjective interview. For example, preset subjective interviews such as "What do you think of the employee's work attitude?", "What is the employee's personality like?", etc. Then, the server will establish each subjective interview node corresponding to the background check script group along the background check sub-node, such as Figure 3 Each subjective interview node such as A-1-1 shown in the figure. Each subjective interview node is configured to play all the preset subjective interviews in the background check speech group in sequence when the verification personnel corresponding to any personnel information is contacted. After the server completes the voice playback of the preset subjective interview, it will obtain the verification personnel's answer to the preset subjective interview, that is, the interview feedback voice, and establish an interview feedback node along the corresponding subjective interview node according to the interview feedback voice, such as Figure 3 The interview feedback nodes such as A-1-1-1 are shown.

[0055] When the background check attribute of any background check sub-node is an objective attribute, the server will extract the various objective elements corresponding to different objective questions based on the employment experience, such as the term of office, etc. Then, the corresponding objective questions are generated according to each objective element, such as "What is the position of this employee?" Since the answers to such objective questions are unique, the server will generate background check answers corresponding to different answer attributes according to the objective elements of each objective question. The answer attributes include correct attributes and incorrect attributes. Then, the server will combine the objective questions and background check answers corresponding to the same objective element, and determine all the objective questions corresponding to the same background check sub-node as an objective question group, and then establish each objective determination node corresponding to the objective question group along the corresponding background check sub-node, such as Figure 3 Each objective determination node such as A-1-2 shown in the figure. Each objective determination node is determined to be when the verification personnel corresponding to any personnel information is contacted, all objective questions in the objective question group are played in turn. After the server completes the voice playback of the objective question, it will obtain the verification personnel's answer to the objective question, that is, the question feedback voice, and establish a question feedback node along the corresponding objective determination node according to the question feedback voice, such as Figure 3 The A-1-2-1 and other problem feedback nodes are shown.

[0056] This embodiment can configure different speech and questions according to different background check attributes, so as to facilitate the subsequent evaluation of the background check results.

[0057] In step S106, the following contents are included: Based on the background check sub-node corresponding to the objective attribute, an objective background check operation is performed on the company corresponding to the background check sub-node, and based on the corresponding work experience, the authenticity of the first background check result obtained is evaluated to obtain a first evaluation value.

[0058] For example, in this embodiment, the server will perform an objective background check operation on the company corresponding to the background check sub-node whose background check attribute is an objective attribute, thereby obtaining a first background check result, and perform an authenticity evaluation on the first background check result obtained based on the corresponding work experience, thereby obtaining a first evaluation value.

[0059] Furthermore, the above-mentioned “performing an authenticity evaluation on the obtained first background check result based on the corresponding employment experience to obtain a first evaluation value” further includes the following steps: Determine a feedback answer corresponding to the verification person based on the question feedback voice corresponding to each objective question; Comparing the background check answer with the correct attributes corresponding to the objective question with the feedback answer, and determining the correctness rate of the answer corresponding to the verification person based on the comparison result; Performing normalization processing based on the answer accuracy rate, and multiplying the normalized answer accuracy rate by the retrieved objective weight to obtain objective evaluation values ​​corresponding to each objective determination node; The objective evaluation values ​​are averaged to obtain a first evaluation value corresponding to the work experience.

[0060] For example, in this embodiment, the server will first determine the verification personnel's feedback answer based on the question feedback voice corresponding to each objective question, and then compare the background check answer with correct attributes with the feedback answer, so as to determine the accuracy of the verification personnel's answer based on the comparison result.

[0061] Then, the server will normalize the correct rate of the answer, and multiply the correct rate of the answer after normalization by the retrieved objective weight to obtain the objective evaluation values ​​corresponding to each objective determination node. Since there may be multiple verification personnel, there are multiple objective evaluation values. Therefore, the server will average all the objective evaluation values ​​to obtain the first evaluation value of the work experience.

[0062] In step S108, the following contents are included: Based on the background check sub-node corresponding to the subjective attribute, a subjective background check operation is performed on the company corresponding to the background check sub-node, and a quality evaluation is performed on the obtained second background check result based on the corresponding work experience to obtain a second evaluation value.

[0063] For example, in this embodiment, the server will perform a subjective background check operation on the company corresponding to the background check sub-node whose background check attribute is a subjective attribute, thereby obtaining a second background check result, and perform a quality evaluation based on the second background check result obtained according to the corresponding work experience, thereby obtaining a second evaluation value.

[0064] Furthermore, the above-mentioned “performing a quality evaluation on the obtained second background check result based on the corresponding work experience to obtain a second evaluation value” also includes the following steps: The background adjustment point display interface is sent to the subjective evaluation end, and in response to the interaction of the subjective evaluation end with each interview feedback node, the interview feedback voice corresponding to the interview feedback node is retrieved for playback; Obtaining the subjective evaluation value uploaded by the subjective evaluation end based on each interview feedback voice, and obtaining each subjective evaluation value corresponding to each interview feedback node; The subjective evaluation values ​​are averaged to obtain a second evaluation value corresponding to the job experience.

[0065] For example, in this embodiment, since it is impossible to define a unique answer to the subjective evaluation, only using the server to make the corresponding judgment will not only generate a huge amount of data, but may also result in certain errors in the judgment. In order to ensure the accuracy of the final evaluation value, manual judgment is required. Therefore, the server will send the background adjustment point display interface to the subjective evaluation end. When the subjective evaluation end interacts with each interview feedback node, the server will retrieve the interview feedback voice corresponding to the interview feedback node for playback, and then the subjective evaluation end can upload the corresponding subjective evaluation value. Next, the server will obtain the subjective evaluation value uploaded by the subjective evaluation end based on each interview feedback voice, thereby obtaining each subjective evaluation value corresponding to each interview feedback node, and average each subjective evaluation value to obtain a second evaluation value corresponding to the job experience.

[0066] In step S110, the following contents are included: A background check score corresponding to the background check person is determined based on the first evaluation value and the second evaluation value.

[0067] For example, in this embodiment, after obtaining the first evaluation value and the second evaluation value, the server will determine the background check score of the background check person according to the first evaluation value and the second evaluation value.

[0068] According to the solution of the present invention, the server can receive the information record table of the background check personnel, and extract the key content in the information record table, so as to obtain the respective employment experiences corresponding to the respective employment companies. The present invention can also, when the employment period of the background check personnel is longer, the horizontal length of the period slot corresponding to it in the current record table is also longer, so that the subsequent management end can quickly clarify the length of the employment period of the background check end. And after obtaining the employment experience of the background check personnel in each employment company, the present invention will first establish each background adjustment point corresponding to each employment company one by one, so that the subsequent server will carry out the corresponding background check on the employment experience of the background check personnel according to each background adjustment point. Then, the server will sequentially establish the background adjustment sub-nodes corresponding to different background adjustment attributes along each background adjustment point downward according to the employment experience corresponding to each employment company, and the background adjustment attributes include subjective attributes and objective attributes. The server will perform an objective background check operation on the company corresponding to the background check sub-node whose background check attribute is an objective attribute, to obtain the first background check result, and conduct an authenticity evaluation on the first background check result obtained according to the corresponding work experience, thereby obtaining a first evaluation value; and perform a subjective background check operation on the company corresponding to the background check sub-node whose background check attribute is a subjective attribute, to obtain the second background check result, and conduct a quality evaluation on the second background check result obtained according to the corresponding work experience, thereby obtaining a second evaluation value. Finally, the server will determine the background check score of the background check personnel based on the first evaluation value and the second evaluation value. The present invention can greatly improve the efficiency of background checks, and the background check score is relatively objective and has a certain reference value.

[0069] Another embodiment of the present invention provides a system for automatically generating background check interview techniques based on job information. Figure 4 As a corresponding device block diagram, the system includes: The extraction module is configured to receive the information record form configured by the background check personnel based on the personnel information, and extract key contents from the information record form to obtain the work experience corresponding to each company where he / she worked; The background check configuration module is configured to establish one-to-one corresponding background check points based on each company where the employee works, and to sequentially establish background check sub-nodes corresponding to different background check attributes along each background check point based on the work experience corresponding to each company where the employee works, wherein the background check attributes include subjective attributes and objective attributes; A first evaluation module is configured to perform an objective background check operation on the company corresponding to the background check sub-node based on the background check sub-node corresponding to the objective attribute, and to perform an authenticity evaluation on the obtained first background check result based on the corresponding employment experience to obtain a first evaluation value; The second evaluation module is configured to perform a subjective background check operation on the company corresponding to the background check sub-node based on the background check sub-node corresponding to the subjective attribute, and perform a quality evaluation on the obtained second background check result based on the corresponding work experience to obtain a second evaluation value; The scoring determination module is configured to determine the background check score corresponding to the background check person based on the first evaluation value and the second evaluation value.

[0070] In the description provided herein, algorithms and displays are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the examples of the present invention. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to implement the content of the present invention described herein, and the above description of specific languages ​​is for the purpose of disclosing the preferred embodiment of the present invention.

[0071] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0072] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof.

[0073] Those skilled in the art will appreciate that the modules or units or components of the devices in the examples disclosed herein may be arranged in the devices described in the embodiment, or alternatively may be located in one or more devices different from the devices in the examples. The modules in the foregoing examples may be combined into one module or may be divided into multiple submodules.

[0074] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and further may be divided into a plurality of submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device so disclosed may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature that provides the same, equivalent or similar purpose.

[0075] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features from different embodiments is meant to be within the scope of the present invention and to form different embodiments.

[0076] In addition, some of the embodiments are described herein as methods or combinations of method elements that can be implemented by a processor of a computer system or by other devices that perform the functions. Therefore, a processor with necessary instructions for implementing the method or method elements forms a device for implementing the method or method elements. In addition, the elements described herein of the device embodiments are examples of devices for implementing the functions performed by the elements for the purpose of implementing the invention.

[0077] As used herein, unless otherwise specified, the use of ordinal numbers "first," "second," "third," etc. to describe common objects merely indicates that different instances of similar objects are involved, and is not intended to imply that the objects so described must have a given order in time, space, order, or in any other manner.

[0078] Although the present invention has been described according to a limited number of embodiments, it will be apparent to those skilled in the art, with the benefit of the above description, that other embodiments may be envisioned within the scope of the invention thus described. In addition, it should be noted that the language used in this specification is primarily selected for readability and instructional purposes, rather than for explaining or limiting the subject matter of the present invention.

Claims

1. A method for automatically generating background interview techniques based on job information, characterized in that: The following steps are involved: Receive the information record form configured by the background check personnel based on the personnel information, and extract the key content from the information record form to obtain the work experience corresponding to each company where he / she worked; Establishing one-to-one corresponding background adjustment points based on each employed company, and establishing background adjustment sub-nodes corresponding to different background adjustment attributes along each background adjustment point in sequence based on the employment experience corresponding to each employed company, wherein the background adjustment attributes include subjective attributes and objective attributes; Based on the background check sub-node corresponding to the objective attribute, an objective background check operation is performed on the company corresponding to the background check sub-node, and authenticity evaluation is performed on the obtained first background check result based on the corresponding employment experience to obtain a first evaluation value; Based on the background check sub-node corresponding to the subjective attribute, a subjective background check operation is performed on the company corresponding to the background check sub-node, and a quality evaluation is performed on the obtained second background check result based on the corresponding work experience to obtain a second evaluation value; A background check score corresponding to the background check person is determined based on the first evaluation value and the second evaluation value.

2. The method for automatically generating background check interview techniques based on job information according to claim 1 is characterized in that: Receive the information record form configured by the background check personnel based on the personnel information, and extract the key content from the information record form to obtain the work experience corresponding to each company, including: Creating an initial record sheet, wherein the initial record sheet includes vertically arranged positions filling areas; The initial record form is sent to the background check terminal corresponding to the background check personnel, and in response to the background check terminal interacting with the initial record form, all the position filling areas in the initial record form are changed from an initial locked state to an edit state; In response to the information filling completion signal sent by the background check end based on the initial record form, all the position filling areas in the initial record form are changed from the edit state to the locked state, and the initial record form is acquired; Extract key contents from all the job filling areas in the initial record table to obtain the company and job experience corresponding to each job filling area; A service period corresponding to the service experience is acquired based on the service experience, and the initial record table is updated based on the service period to obtain a current record table.

3. The method for automatically generating background check interview techniques based on job information according to claim 2 is characterized in that: Extract key contents from all the job filling areas in the initial record table to obtain the company and job experience corresponding to each job filling area, including: Inputting the filled characters in different job filling areas into the trained first semantic recognition model to obtain the recognition results corresponding to the different job filling areas; When the recognition result corresponding to any position filling area is that the position filling area only includes one company phrase, the company phrase is determined as the position company corresponding to the position filling area, and all the remaining filling characters in the position filling area are determined as the position experience; When the recognition result corresponding to any position filling area is that the position filling area includes two company phrases, the position filling area is extracted to the company determination layer for multi-dimensional specification identification, and the company determination layer is sent to the background check end. In response to the background check end's determination of any company phrase, the company phrase is determined as the position company corresponding to the position filling area, and all the remaining filled characters in the position filling area are determined as the position experience; When the recognition result corresponding to any position filling area is that the position filling area includes at least three company phrases, the number of adjacent characters between the company phrase at the first position, the company phrase at the last position and the adjacent company phrases are obtained, and the company phrase with the largest number of corresponding adjacent characters is determined as the position company corresponding to the position filling area, and all remaining filling characters in the position filling area are determined as work experience.

4. The method for automatically generating background check interview techniques based on job information according to claim 3 is characterized in that: Acquiring a tenure period corresponding to the tenure experience based on the tenure experience, and updating the initial record table based on the tenure period to obtain a current record table, including: Inputting each of the employment experiences in different employment filling areas into the trained second semantic recognition model to obtain each employment period corresponding to the different employment experiences; Sorting all the post filling areas in the initial record table from top to bottom to obtain a first area sequence, and sorting each post filling area in the initial record table in chronological order based on each post period to obtain a second area sequence; Modifying the positions of all the job filling areas arranged vertically according to the first area sequence so that all the job filling areas are arranged vertically according to the second area sequence; In the initial record table, a period slot corresponding to each appointment filling area is generated, and each appointment period is filled into the corresponding period slot to obtain the current record table.

5. The method for automatically generating background check interview techniques based on job information according to claim 4 is characterized in that: Generate a period slot corresponding to each service filling area in the initial record table, and fill each service period into the corresponding period slot, to obtain a current record table, including: Generate a separation area corresponding to each position filling area at the tail position of each position filling area along the second area sequence, and obtain a region center point corresponding to each position filling area; Taking the center point of the area as the starting point, establishing an area connection line extending to the separation area, and establishing a periodic slot with a preset horizontal length based on the end point of the line segment of the area connection line located in the separation area as the center; Filling each of the tenure periods into the corresponding period slots respectively, and obtaining each tenure duration corresponding to each tenure period respectively; Determine the tenure period with the shortest duration as the reference period corresponding to the preset horizontal length, and respectively determine the duration ratios between all remaining tenure periods and the reference period; Based on the product calculation of each time length ratio and the preset horizontal length, and based on the obtained adjusted horizontal lengths respectively corresponding to each cycle slot, each cycle slot is adjusted to obtain the current record table.

6. The method for automatically generating background check interview techniques based on job information according to claim 5 is characterized in that: The method further comprises: Determine the window period corresponding to the background check personnel based on each service period, and determine the two service periods on both sides of the window period as the first side period and the second side period respectively based on the time sequence; Generate a blank window filling area between the position filling area corresponding to the first side cycle and the position filling area corresponding to the second side cycle, and generate a blank window slot corresponding to the blank window filling area; The empty window period is filled into the empty window slot, and the initial record table is sent to the background check end to fill in the content based on the empty window filling period.

7. The method for automatically generating background check interview techniques based on job information according to claim 4 is characterized in that: Based on each employed company, a corresponding background adjustment point is established respectively, and based on the employment experience corresponding to each employed company, background adjustment sub-nodes corresponding to different background adjustment attributes are established downward along each background adjustment point in sequence, wherein the background adjustment attributes include subjective attributes and objective attributes, including: Creating a background adjustment point display interface, and establishing background adjustment points corresponding to each employed company in the background adjustment point display interface based on the second region sequence; Determine the number of verification personnel involved in information verification based on each employment period corresponding to each employment company, and establish personnel nodes with the same number as the number of personnel downward along the corresponding back adjustment points; Based on all personnel nodes corresponding to the same background check point, background check sub-nodes corresponding to different background check attributes are established downward, and background check strategies corresponding to the background check attributes are configured for the background check sub-nodes, wherein the background check attributes include subjective attributes and objective attributes; The background adjustment point display interface is sent to the background adjustment end, and the background adjustment end obtains the information of each person uploaded by each person node corresponding to different background adjustment points.

8. The method for automatically generating background check interview techniques based on job information according to claim 7 is characterized in that: The background adjustment strategy corresponding to the background adjustment attribute is configured for the background adjustment sub-node, including: When the background check attribute of any background check sub-node is a subjective attribute, a background check script group including at least one preset subjective interview is obtained; Establishing each subjective interview node corresponding to the background check speech group along the corresponding background check sub-node downward, and configuring each subjective interview node to play all preset subjective interviews in the background check speech group in sequence in response to a contact operation of a verification person corresponding to any personnel information; After completing the voice playback of each preset subjective interview, obtaining the interview feedback voice corresponding to the verification personnel, and establishing an interview feedback node along the corresponding subjective interview node based on the interview feedback voice; When the background check attribute of any background check sub-node is an objective attribute, objective elements corresponding to different objective issues are extracted based on the employment experience; Generate corresponding objective questions based on each objective element, and generate background adjustment answers corresponding to different answer attributes based on the objective elements corresponding to each objective question, wherein the answer attributes include correct attributes and incorrect attributes; The objective questions and background check answers corresponding to the same objective element are combined, and all the objective questions corresponding to the same background check sub-node are determined as an objective question group; Establishing each objective determination node corresponding to the objective question group along the corresponding background tone sub-node downward, and determining each objective determination node to respond to the contact operation of the verification personnel corresponding to any personnel information to play all objective questions in the objective question group in sequence; After completing the voice playback for each objective question, the question feedback voice corresponding to the verification personnel is obtained, and a question feedback node is established along the corresponding objective determination node based on the question feedback voice.

9. The method for automatically generating background check interview techniques based on job information according to claim 8 is characterized in that: Performing an authenticity evaluation on the obtained first background check result based on the corresponding employment experience to obtain a first evaluation value includes: Determine a feedback answer corresponding to the verification person based on the question feedback voice corresponding to each objective question; Comparing the background check answer with the correct attributes corresponding to the objective question with the feedback answer, and determining the correctness rate of the answer corresponding to the verification person based on the comparison result; Performing normalization processing based on the answer accuracy rate, and multiplying the normalized answer accuracy rate by the retrieved objective weight to obtain objective evaluation values ​​corresponding to each objective determination node; The objective evaluation values ​​are averaged to obtain a first evaluation value corresponding to the work experience.

10. The method for automatically generating background check interview techniques based on job information according to claim 9, characterized in that: Based on the corresponding work experience, the obtained second background check result is evaluated for quality to obtain a second evaluation value, including: The background adjustment point display interface is sent to the subjective evaluation end, and in response to the interaction of the subjective evaluation end with each interview feedback node, the interview feedback voice corresponding to the interview feedback node is retrieved for playback; Obtaining the subjective evaluation value uploaded by the subjective evaluation end based on each interview feedback voice, and obtaining each subjective evaluation value corresponding to each interview feedback node; The subjective evaluation values ​​are averaged to obtain a second evaluation value corresponding to the job experience.

11. A system for automatically generating background interview techniques based on job information, characterized in that: include: The extraction module is configured to receive the information record table configured by the background check personnel based on the personnel information, and extract key contents from the information record table to obtain the work experience corresponding to each company where he / she worked; The background check configuration module is configured to establish one-to-one corresponding background check points based on each company where the employee works, and to sequentially establish background check sub-nodes corresponding to different background check attributes along each background check point based on the work experience corresponding to each company where the employee works, wherein the background check attributes include subjective attributes and objective attributes; A first evaluation module is configured to perform an objective background check operation on the company corresponding to the background check sub-node based on the background check sub-node corresponding to the objective attribute, and to perform an authenticity evaluation on the obtained first background check result based on the corresponding employment experience to obtain a first evaluation value; The second evaluation module is configured to perform a subjective background check operation on the company corresponding to the background check sub-node based on the background check sub-node corresponding to the subjective attribute, and perform a quality evaluation on the obtained second background check result based on the corresponding work experience to obtain a second evaluation value; The scoring determination module is configured to determine the background check score corresponding to the background check person based on the first evaluation value and the second evaluation value.

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