CN115422909A - Background investigation method and device, electronic equipment and storage medium - Google Patents
Background investigation method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN115422909A CN115422909A CN202211026916.5A CN202211026916A CN115422909A CN 115422909 A CN115422909 A CN 115422909A CN 202211026916 A CN202211026916 A CN 202211026916A CN 115422909 A CN115422909 A CN 115422909A
- Authority
- CN
- China
- Prior art keywords
- resume
- interview
- background
- background investigation
- voice
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011835 investigation Methods 0.000 title claims abstract description 103
- 238000000034 method Methods 0.000 title claims abstract description 68
- 230000008569 process Effects 0.000 claims abstract description 12
- 230000015654 memory Effects 0.000 claims description 25
- 238000013475 authorization Methods 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 18
- 230000004044 response Effects 0.000 claims description 4
- 238000011160 research Methods 0.000 claims 2
- 230000000694 effects Effects 0.000 abstract description 4
- 230000007115 recruitment Effects 0.000 abstract description 3
- 238000004891 communication Methods 0.000 description 19
- 230000006870 function Effects 0.000 description 10
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 239000002904 solvent Substances 0.000 description 3
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000012163 sequencing technique Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 101150012579 ADSL gene Proteins 0.000 description 1
- 102100020775 Adenylosuccinate lyase Human genes 0.000 description 1
- 108700040193 Adenylosuccinate lyases Proteins 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 230000008719 thickening Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/194—Calculation of difference between files
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
- G06Q10/1053—Employment or hiring
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Audiology, Speech & Language Pathology (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- Acoustics & Sound (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Economics (AREA)
- Data Mining & Analysis (AREA)
- Multimedia (AREA)
- Human Computer Interaction (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to the technical field of intelligent recruitment and discloses a background investigation method, a background investigation device, electronic equipment and a storage medium, wherein the method comprises the following steps: a background investigation server acquires interview voices in the background investigation process, identifies the interview voices and converts the interview voices into interview characters; acquiring keywords in the interview characters; acquiring an attribute value corresponding to the keyword, and filling the attribute value into a second resume; similarity calculation is carried out on the first resume and the second resume, and the similarity value generated through calculation is compared with a preset similarity threshold value for judgment; the first resume is a resume generated when the user interviews, and the second resume is a resume template containing keywords; and when the similarity value is greater than or equal to the similarity threshold value, confirming that the content of the first resume is real content. The method and the device have the effect of improving the experience of the background investigator conveniently.
Description
Technical Field
The present application relates to the field of intelligent recruitment technologies, and in particular, to a background investigation method and apparatus, an electronic device, and a storage medium.
Background
In the recruitment process, related background investigation needs to be carried out on the job seeker in order to obtain a deeper understanding of the job seeker.
At present, a recruiting company often commissions a third party background investigation company or carries out background investigation on job seekers through the company's own intelligent robot. The third-party background survey company generally knows the background information of job seekers through Internet and/or telephone interview of staff of the company in front of the job seekers according to job-hunting resumes provided by the job seekers during interviewing; the intelligent robot generally establishes a corpus, and can provide questions in related fields in the job hunting resume for workers according to the corpus, analyze whether the content of the job hunting resume is consistent with the content of the job hunting resume according to the content answered by the workers, convert the content of interviews into texts, and record related information.
In the related art, the third-party background survey company compares the obtained content of the response of the staff with the content of the original resume of the job seeker during the site interview, so as to determine whether the content of the original resume of the interviewee is real. However, in the process of the background survey interview, after the content of the interview is converted into the text, the content of the text is various, and the background surveyor needs to compare the content of the text with the original resume, so that the comparison efficiency is low, and the experience of the background surveyor is easily influenced. Therefore, a background investigation method with efficient matching is needed.
Disclosure of Invention
In order to improve the experience of a background investigator, the application provides a background investigation method, a background investigation device, an electronic device and a storage medium.
The application provides a background investigation method in a first aspect. The following technical scheme is adopted:
the method comprises the following steps:
the method comprises the following steps that a background investigation server obtains interview voice in a background investigation process, identifies the interview voice and converts the interview voice into interview characters;
acquiring keywords in the interview characters;
obtaining an attribute value corresponding to the keyword, and filling the attribute value into a second resume;
similarity calculation is carried out on the first resume and the second resume, and the similarity value generated through calculation is compared with a preset similarity threshold value for judgment; the first resume is a resume generated when the user interviews, and the second resume is a resume template containing keywords;
and when the similarity value is greater than or equal to the similarity threshold value, confirming that the content of the first resume is real content.
By adopting the technical scheme, the background survey server converts the voice information into the text information, and the second resume is filled with the attribute values corresponding to the keywords by extracting the keywords in the text information, so that the effect of efficient character matching can be achieved compared with the mode without extracting the keywords.
Specifically, if the keyword extraction is not performed, when the content in a certain column in the first resume needs to be checked, the content in the certain column needs to be checked with all the content of the interview characters in the prior art, which is heavy in workload and low in efficiency.
However, in the scheme, after the keywords of the text information are extracted, the attribute values corresponding to the keywords are filled in the positions corresponding to the keywords in the second resume, the background survey server can directly compare information in a certain column in the first resume with information in a corresponding column in the second resume by retrieving the same keywords in the first resume and the second resume, and the purpose of judging the authenticity of the first resume can be achieved by judging the similarity of the first resume and the second resume, so that the efficiency is higher, a background surveyor can quickly know the result, and the experience of the background surveyor is greatly improved.
Optionally, the method further includes:
the method comprises the steps that a background investigation server receives authorization information sent by user equipment, wherein the authorization information is authorized by an investigated object in an online electronic signature mode;
and starting to execute background investigation operation in response to the authorization information.
By adopting the technical scheme, after the surveyed object provides the authorization information, the background survey server can automatically receive the authorization information and generate the first resume, and compared with the prior art that a plurality of job seekers need to ask for the first resume, the mode for acquiring the first resume is simplified, and the information collection efficiency is improved.
Optionally, the method further includes:
the background survey server acquires the first resume of the surveyed object;
and acquiring the background investigation interview problems corresponding to the first resume from a pre-constructed background investigation post model library according to the pre-constructed background investigation post model library.
By adopting the technical scheme, interview problems are extracted from the background investigation post model library, professional knowledge is provided for the working personnel of the third-party background investigation company, the trouble that the investigated object cannot be deeply and really understood due to insufficient knowledge understanding in the professional field is relieved, and the experience of the background investigator is improved.
Optionally, the background survey interview problem corresponding to the first resume includes a general problem and an exclusive problem of a post corresponding to the first resume; the general questions are obtained from a general post model library in the pre-constructed background investigation post model library, and the special questions are obtained from a specific post model library in the pre-constructed background investigation post model library.
By adopting the technical scheme, the method for constructing the general background investigation model library and the specific background investigation model library in advance can be suitable for most enterprises, improves the experience of background investigators and improves the practicability of the background investigation model library.
Optionally, when the content of the first resume is determined to be the real content, highlighting the information that the first resume and the second resume have difference.
By adopting the technical scheme, after the background survey server receives the first resume and the second resume, the authenticity of the first resume can be automatically judged, the step of manual inspection is omitted, the display result is visual, the efficiency of background survey is improved, and the experience of background surveyors is improved.
Optionally, the interview voice comprises a first voice, and the method further comprises:
the background investigation server carries out voice recognition on the first voice to obtain first interview characters;
acquiring a first work experience in the first interview text and a first time period corresponding to the first work experience;
and filling the first time period into the attribute of the first work experience of the second resume.
By adopting the technical scheme, the background investigation server can automatically fill the first time period corresponding to the first work experience identified from the first voice into the attribute of the first work experience by identifying the first voice, so that the workload of manual filling is reduced, the subsequent arrangement work is facilitated, and the efficiency of background investigation is improved.
Optionally, the interview speech further includes a second speech, and the method further includes:
the background investigation server carries out voice recognition on the second voice to obtain second interview characters;
acquiring a second work experience in the second interview text and a second time period corresponding to the second work experience;
confirming that the second time period is after the first time period, and filling the second time period into the attribute of a second work experience of the second resume, wherein the second work experience is after the first work experience;
confirming that the second time period is before the first time period, and filling the second time period into the attribute of a second work experience of the second resume, wherein the second work experience is before the first work experience.
By adopting the technical scheme, for job seekers with a plurality of work experiences, after the background survey server records all information of the work experiences, the background survey server identifies the sequence of the first time period and the second time period in the interview voice, even if the interview sequence is different from the time sequence of the work experiences, the contents of the corresponding work experiences can be filled in the second resume according to the sequence of the work experiences, the contents of the second resume are filled in the corresponding time periods, the contents of the second resume are more accurate, manual sequencing is not needed, and the experience of the background surveyors is improved.
A second aspect of the present application provides a background investigation apparatus, which is a background investigation server, and includes an obtaining module and a processing module; wherein,
the acquisition module is used for acquiring interview voices in the background investigation process so that the interview voices can be identified and converted into interview characters by the processing module;
acquiring keywords in the interview characters;
acquiring an attribute value corresponding to the keyword so that the processing module can conveniently fill the attribute value into a second resume;
the processing module is used for calculating the similarity of the first resume and the second resume and comparing and judging the similarity value generated by calculation with a preset similarity threshold value; the first resume is a resume generated when the user interviews, and the second resume is a resume template containing keywords;
and when the similarity value is greater than or equal to the similarity threshold value, confirming that the content of the first resume is real content.
By adopting the technical scheme, the device collects the first resume provided by the job seeker, collects interview voice obtained by the staff of the background survey company through interview, converts the interview voice into text information, and automatically judges whether the background information filled by the job seeker is real or not according to the text information, so that the labor and the efficiency of background survey are greatly saved.
A third aspect of the application provides an electronic device comprising a processor, a memory for storing instructions, and a transceiver for communicating with other devices, the processor being configured to execute the instructions stored in the memory to cause the electronic device to perform the method according to any of the above.
A fourth aspect of the present application provides a computer-readable storage medium having stored thereon instructions that, when executed, perform a method as in any one of the above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the background survey server converts the voice information into the text information, and the second resume is filled with the attribute values corresponding to the keywords by extracting the keywords in the text information, so that the effect of efficient character matching can be achieved compared with the mode without extracting the keywords.
Specifically, if the keyword extraction is not performed, when the content in a certain column in the first resume needs to be checked, the content in the certain column needs to be checked with all the content of the interview characters in the prior art, which is heavy in workload and low in efficiency.
In the scheme, after the keywords of the text information are extracted, the attribute values corresponding to the keywords are filled in the positions corresponding to the keywords in the second resume, the background survey server can directly compare information in a certain column in the first resume with information in a corresponding column in the second resume by retrieving the same keywords in the first resume and the second resume, and the purpose of judging the authenticity of the first resume can be achieved by judging the similarity of the first resume and the second resume, so that the efficiency is higher, a background surveyor can quickly know the result, and the experience of the background surveyor is greatly improved;
2. the interview problems are extracted from the background investigation post model base, professional knowledge is provided for the working personnel of the third-party background investigation company, the trouble that the investigated object cannot be deeply and really understood due to insufficient knowledge understanding of the professional field is relieved, and the experience of the background investigators is improved.
Drawings
Fig. 1 is a schematic flowchart of a background investigation method according to an embodiment of the present application.
Fig. 2 is a flowchart illustrating a background investigation method according to another embodiment of the present application.
Fig. 3 is a flowchart illustrating a background investigation method according to another embodiment of the present application.
Fig. 4 is a schematic structural diagram of a background investigation apparatus according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Description of reference numerals: 1. an acquisition module; 2. a processing module; 1000. an electronic device; 1001. a processor; 1002. A communication bus; 1003. a user interface; 1004. a network interface; 1005. a memory.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments.
In the description of the embodiments of the present application, words such as "or" for example "are used to mean serving as examples, illustrations or illustrations. Any embodiment or design described herein as "for example" or "for example" is not to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "such as" or "for example" is intended to present related concepts in a concrete fashion.
In the description of the embodiments of the present application, the term "plurality" means two or more unless otherwise specified. For example, the plurality of systems refers to two or more systems, and the plurality of screen terminals refers to two or more screen terminals. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicit indication of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
The embodiment of the application discloses a background investigation method. As shown in fig. 1, steps S101 to S105 are included. In particular, the amount of the solvent to be used,
s101, the background investigation server obtains interview voice in the background investigation process, identifies the interview voice and converts the interview voice into interview characters.
In the present embodiment, when a background survey company surveys the background of a surveyed object, it is common to call a company that has worked before the surveyed object for interview. After the interview, recording the interview voice of each time by recording software, wherein the interview content comprises some basic information and professional information of the investigated object, for example, the basic information can comprise information of a position, a department, a scholarship, whether a conflict exists, and the like. Specifically, the conflict refers to a relatively bad behavior such as fighting a shelf. Professional information may include information such as knowledge of the relevant field and knowledge of the work content.
Specifically, after the telephone interview content is recorded, the recorded interview content is stored in a background survey server, and the background survey server converts the interview content into interview texts in a voice recognition mode.
S102, keywords in interview characters are obtained.
In this embodiment, the interview text is usually a whole segment of text information, and the background survey server automatically extracts keywords in the interview text. For example: keywords may include information such as name, age, gender, work history, and work hours.
S103, obtaining an attribute value corresponding to the keyword, and filling the attribute value into the second resume.
S104, similarity calculation is carried out on the first resume and the second resume, and the similarity value generated through calculation is compared with a preset similarity threshold value for judgment; the first resume is a resume generated when the user interviews, and the second resume is a resume template containing keywords.
And S105, when the similarity value is larger than or equal to the similarity threshold value, confirming that the content of the first resume is the real content.
Specifically, the first resume and the second resume contain the same keywords, but the job seeker in the first resume already fills in the attribute value corresponding to the related key word, and the second resume does not fill in the attribute value corresponding to the related key word. And after automatically extracting the keywords, the background survey server fills the attribute values corresponding to the keywords into the corresponding keyword columns in the second resume according to the interview content. Specifically, the keyword may be "name", and the corresponding attribute value is "zhang san".
In this embodiment, the attribute values filled in the first resume and the second resume may have a certain difference, the attribute values in the first resume and the second resume are subjected to similarity calculation, and whether the content filled in by the job seeker is real or not, that is, whether the content filled in the first resume is real or not, is judged by comparing the similarity with a similarity threshold.
The similarity threshold value is a preset value, and is usually 0.95 according to actual conditions, when the similarity between the first resume and the second resume is greater than or equal to 0.95, the content filled in the first resume is determined to be real, and when the similarity is less than 0.95, the content filled in the first resume is determined to be not real.
In a possible implementation, step S105 is followed by: and confirming that the first resume is a real resume, and highlighting the information with difference between the first resume and the second resume.
When the contents filled in the first resume and the second resume are different, the different information can be highlighted in the output result, and highlighting specifically includes thickening the font and adding vivid color marks. In addition, the similarity calculation is a relatively mature technology in the prior art, and is not described herein again.
Before step S101, the background investigation authority of the job seeker needs to be acquired. Referring to fig. 2, in the present embodiment, the method further includes steps S201 to S202. In particular, the amount of the solvent to be used,
s201, the background investigation server receives authorization information sent by user equipment, and the authorization information is authorized by an investigated object in an online electronic signature mode.
And S202, responding to the authorization information, and starting to execute the background investigation operation.
Specifically, the job seeker authorizes the background survey company through an online electronic signature authorization mode, and after the background survey company obtains authorization, the background survey server automatically obtains identity identification information of the job seeker and other corresponding related information needing to verify the content. Wherein, other related information may include related information such as position hierarchy, annual salary, testimony and the like, and is stored in the server.
In step S101, the background survey company needs to conduct a telephone interview according to the details of the job seeker. Referring to fig. 3, in the present embodiment, the method further includes steps S301 to S302. In particular, the amount of the solvent to be used,
s301, the background survey server acquires a first resume of the surveyed object.
S302, obtaining a background investigation interview question corresponding to the first resume from a pre-constructed background investigation post model library according to the pre-constructed background investigation post model library.
Specifically, in a telephone interview link of background investigation, a worker of a background investigation company puts forward a question to an interviewee in a targeted manner according to interview questions set in a background investigation model library. In the case that the staff of the background survey company is not familiar with the post, the reference can be provided for the interview content of the staff.
In one possible embodiment, the background interview questions corresponding to the first resume include general questions and exclusive questions for the posts corresponding to the first resume. The general problems are obtained from a general post model library in a pre-constructed background investigation post model library, and the special problems are obtained from a specific post model library in the pre-constructed background investigation post model library.
For example: a general question may be "ask for how old are your colleagues Zhang three? "or" ask for what is your college graduation with colleagues Zhang three? ". The special post model library provides some special questions related to the professional field of the surveyed object, such as: a specific question related to the professional field may be "ask for your colleagues who have won their rewards in your colleagues? "or" ask if your colleague three during work had received XX awards? ".
The background investigation post model base relates to relevant information such as relevant industries, positions, contact ways of companies in front of investigated objects, corresponding interview contents and the like in the background investigation post, and the relevant information is integrated to form a background investigation post model base, and data updating is continuously carried out on the background investigation post model base. Before actual interviews, staff of a background survey company can search information such as corresponding industries and positions in a background survey post model base, and therefore the content of corresponding interview links is matched.
In one possible implementation, the interview speech comprises a first speech, and the method further comprises:
the background investigation server carries out voice recognition on the first voice to obtain first interview characters;
acquiring a first work experience in a first interview text and a first time period corresponding to the first work experience;
the first time period is filled into attributes of the first work experience of the second resume.
In one possible implementation, the interview speech further comprises a second speech, and the method further comprises:
the background investigation server carries out voice recognition on the second voice to obtain second interview characters;
acquiring a second work experience in a second interview character and a second time period corresponding to the second work experience;
confirming that the second time period is after the first time period, and filling the second time period into the attribute of a second working experience of the second resume, wherein the second working experience is after the first working experience;
confirming that the second time period is before the first time period, and filling the second time period into the attribute of the second work experience of the second resume, wherein the second work experience is before the first work experience.
In particular, when the job experience of the job seeker involves multiple companies, it may be desirable to have a telephone interview with multiple companies to form multiple segments of a telephone recording. The background survey server matches job experience of the job seeker with the company name based on the content of the telephone recording.
For example: the enrollment experience of zhang in company a was the first work experience, and the first time period for work was 2000 to 2001. The entry experience in company B is the second work experience, and the second time period for work is 2002-2006. The background survey company needs to visit company a before visiting company B, as may be influenced by condition factors, but the first time period is before the second time period.
However, the job seeker fills in the first resume in the order of writing the work content for the first time period and then for the second time period. The background survey server can identify and sort the first time period and the second time period, and fill the content of the first work experience into the content corresponding to the first time period and fill the content of the second work experience into the content corresponding to the second time period.
The implementation principle of the embodiment of the application is as follows:
the surveyed object fills in the first resume first and uploads the first resume to the background survey server. The background survey company sends a request for authorizing the background survey to the surveyed object through the background survey server, and the surveyed object authorizes the background survey company through an online electronic signature mode.
And the background investigation server receives the authorization information sent by the user equipment and starts to execute the background investigation operation. The background survey server acquires a first resume of a surveyed object and acquires general problems and special problems corresponding to the first resume from a pre-constructed background survey post model library.
The staff of the background investigation company carries out telephone interview to the staff of the company before the investigated object, conversation voice records of the telephone interview are stored, and after the telephone interview link is finished, the background investigation server obtains the stored conversation voice records and converts conversation voice into interview characters.
The background survey server acquires the keywords in the interview characters and the attribute values corresponding to the keywords, and fills the attribute values corresponding to the keywords into a second resume, wherein the second resume is a resume template containing the same keywords as the first resume.
And the background survey server calculates the similarity of the first resume and the second resume, compares the similarity value generated by calculation with a preset similarity threshold value for judgment, confirms the authenticity of the first resume according to the judgment result, outputs the result of the background survey, and highlights the information with the difference in the result of the background survey when the first resume and the second resume have the difference.
The embodiment of the application also discloses a background investigation device, which is a background investigation server, and as shown in fig. 4, the device comprises an acquisition module 1 and a processing module 2; wherein,
the acquisition module 1 is used for acquiring interview voice in the background investigation process so that the processing module 2 can identify the interview voice and convert the interview voice into interview characters;
acquiring keywords in interview characters;
acquiring an attribute value corresponding to the keyword so that the processing module 2 can conveniently fill the attribute value into the second resume;
the processing module 2 is used for calculating the similarity of the first resume and the second resume, and comparing and judging the similarity value generated by calculation with a preset similarity threshold value; the first resume is a resume generated when the user interviews, and the second resume is a resume template containing keywords;
and when the similarity value is greater than or equal to the similarity threshold value, confirming the content of the first resume as the real content.
The device converts interview voice into text information, and the attribute values corresponding to the keywords are automatically filled into the second resume by extracting the keywords in the text information, so that efficient character matching can be realized.
In a possible implementation mode, the background survey server receives authorization information sent by the user equipment, and the authorization information is authorized by a surveyed object through an online electronic signature mode.
In response to the authorization information, a background investigation operation is started.
After the surveyed object provides the authorization information, the background survey server can automatically receive the authorization information and generate the first resume, and compared with the prior art that a plurality of job seekers need to ask for the first resume, the method for acquiring the first resume is simplified, and the information collection efficiency is improved.
In one possible embodiment, a background survey server obtains a first resume for a surveyed object.
And acquiring a background investigation interview problem corresponding to the first resume from a pre-constructed background investigation post model library according to the pre-constructed background investigation post model library.
Interview problems are extracted from the background investigation post model base, specialized knowledge is provided for workers of a third-party background investigation company, the problem that the surveyed object cannot be deeply and really understood due to insufficient knowledge in the specialized field is solved, and the experience of a background investigator is improved.
In one possible embodiment, the background interview questions corresponding to the first resume include general questions and exclusive questions for the posts corresponding to the first resume. Wherein,
the general problems are obtained from a general post model library in a pre-constructed background investigation post model library, and the special problems are obtained from a specific post model library in the pre-constructed background investigation post model library.
The method has the advantages that the general background investigation model library and the specific background investigation model library which are constructed in advance are applicable to most enterprises, so that the experience of background investigators is improved, and the practicability of the background investigation model library is improved.
In one possible implementation, when the content of the first resume is confirmed to be the real content, the information that the first resume and the second resume have difference is highlighted.
After the background survey server receives the first resume and the second resume, the authenticity of the first resume can be automatically judged, the step of manual inspection is omitted, the display result is visual, the efficiency of background survey is improved, and the experience of a background surveyor is improved.
In one possible implementation, the interview voice includes a first voice.
And the background investigation server performs voice recognition on the first voice to obtain first interview characters.
And acquiring a first work experience in the first interview text and a first time period corresponding to the first work experience.
The first time period is filled into attributes of the first work experience of the second resume.
The background investigation server can automatically fill the first time period corresponding to the first work experience identified from the first voice into the attribute of the first work experience by identifying the first voice, so that the workload of manual filling is reduced, the subsequent arrangement work is facilitated, and the efficiency of background investigation is improved.
In one possible implementation, the interview voice further includes a second voice.
And the background investigation server performs voice recognition on the second voice to obtain second interview characters.
And acquiring a second work experience in the second interview text and a second time period corresponding to the second work experience.
Confirming that the second time period is after the first time period, and filling the second time period into the attribute of a second working experience of a second resume, wherein the second working experience is positioned after the first working experience.
Confirming that the second time period is before the first time period, and filling the second time period into the attribute of the second working experience of the second resume, wherein the second working experience is before the first working experience.
For job seekers with a plurality of work experiences, after the background survey server records all information of the work experiences, the background survey server identifies the sequence of the first time period and the second time period in the interview voice, even if the interview sequence is different from the time sequence of the work experiences, the job seekers can fill in the second resume according to the sequence of the work experiences, and fill in the content of the corresponding work experiences to the corresponding time periods, so that the content of the second resume is more accurate, manual sequencing is not needed, and the experience of the background seekers is improved.
An embodiment of the present application further provides an electronic device, as shown in fig. 5, where the electronic device 1000 includes: at least one processor 1001, at least one network interface 1004, a user interface 1003, memory 1005, at least one communication bus 1002.
Wherein a communication bus 1002 is used to enable connective communication between these components.
The user interface 1003 may include a Display screen (Display) and a Camera (Camera), and the user interface 1003 may also include a standard wired interface and a wireless interface.
The network interface 1004 may include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Data exchange is carried out between the modules by adopting a communication network, the communication network can be any type of wired and/or wireless network, the wired network can be a metropolitan area network, a local area network, an optical fiber network and the like, and the wireless network can be various types of mobile communication networks or wireless local area networks and the like. The communication module has various types and structures, such as an internet of things module, a WiFi module, a 3G module, a 4G module, a 5G module, etc., and provides a remote communication or remote control function by networking resources linked with a network. The link network broadly refers to a general or private network such as a public network, an intranet, a home network, or the like. The common link network includes a wired network, a wireless network, a satellite network, etc., and may be formed by one of the three networks, or by two of the three networks or by a mixture of the three networks.
The network interfaces and protocols included in the communication module may be: satellite network interfaces and protocols, wireless network interfaces and protocols, wired network interfaces and protocols, and the like. The satellite network interface and protocol comprises a satellite positioning interface and protocol, a satellite communication interface and protocol and the like; the wireless network interface and protocol comprises a wireless positioning interface and protocol, a wireless communication interface and protocol and the like; the wired network interface and protocol comprises a wired positioning interface and protocol, a wired communication interface and protocol and the like. Common satellite positioning interfaces and protocols, or GNSS, include, but are not limited to: the GPS protocol, the Beidou protocol, the GLONASS protocol, the Galileo protocol and the like, and the NMEA-0183 standard protocol and the like are relatively common; common wireless location interfaces and protocols include, but are not limited to: LBS (base station location) or MPS (mobile location), road marking post number location, etc.; common wired location interfaces and protocols include, but are not limited to, IP address location and protocols.
Common satellite communication interfaces and protocols include, but are not limited to: CCS-IoT, SNB-IoT, SOC, MOZIQC, and the like; common wireless communication interfaces and protocols include, but are not limited to: ioT, NB-IoT, WLAN, GPRS, SMS, etc.; common wired communication interfaces and protocols include, but are not limited to: ADSL, LAN, FTTX + LAN, 100BaseTLAN, LXI-A/B/C, etc.
The processor may include one or more processing cores, among other things. The processor, using the various interfaces and lines to connect the various components throughout the server, performs the various functions of the server and processes the data by executing or executing instructions, programs, code sets, or instruction sets stored in memory, and calling data stored in memory. The processor may be implemented in at least one hardware form of Digital Signal Processing (DSP), field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is understood that the above modem may not be integrated into the processor, but may be implemented by a chip.
The Memory may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory includes a non-transitory computer-readable medium. The memory may be used to store an instruction, a program, code, a set of codes, or a set of instructions. The memory may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store the data and the like referred to above in the respective method embodiments. The memory may also be at least one memory device located remotely from the aforementioned processor. Referring to fig. 5, a memory 1005, which is a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program of a background investigation method therein.
It should be noted that: in the above embodiment, when the device implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in detail in the method embodiments, which are not described herein again.
In the electronic device 1000 shown in fig. 5, the user interface 1003 is mainly used as an interface for providing input for a user, and acquiring data input by the user; and the processor 1001 may be configured to invoke an application program having a background survey method stored in the memory 1005, which when executed by the one or more processors 1001, causes the electronic device 1000 to perform the method as described in one or more of the embodiments above.
An electronic device readable storage medium having instructions stored thereon. When executed by one or more processors, cause an electronic device to perform a method as in one or more of the above embodiments.
It is clear to a person skilled in the art that the solution of the present application can be implemented by means of software and/or hardware. The term "unit" and "module" in this specification refers to software and/or hardware capable of performing a specific function independently or in cooperation with other components, wherein the hardware may be, for example, a Field-ProgrammaBLE Gate Array (FPGA), an Integrated Circuit (IC), or the like.
It should be noted that for simplicity of description, the above-mentioned embodiments of the method are described as a series of acts, but those skilled in the art should understand that the present application is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required for the application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some service interfaces, devices or units, and may be an electrical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash disks, read-Only memories (ROMs), random Access Memories (RAMs), magnetic or optical disks, and the like.
The above are preferred embodiments of the present application, and the scope of protection of the present application is not limited thereto, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. A background investigation method, the method comprising:
the method comprises the following steps that a background investigation server obtains interview voice in a background investigation process, identifies the interview voice and converts the interview voice into interview characters;
acquiring keywords in the interview characters;
obtaining an attribute value corresponding to the keyword, and filling the attribute value into a second resume;
calculating the similarity of the first resume and the second resume, and comparing and judging the similarity value generated by calculation with a preset similarity threshold value; the first resume is a resume generated when the user interviews, and the second resume is a resume template containing keywords;
and when the similarity value is greater than or equal to the similarity threshold value, confirming that the content of the first resume is real content.
2. A background investigation method according to claim 1, characterised in that the method further comprises:
the method comprises the steps that a background investigation server receives authorization information sent by user equipment, wherein the authorization information is authorized by an investigated object in an online electronic signature mode;
and starting to execute background investigation operation in response to the authorization information.
3. A method of background investigation according to claim 1, the method further comprising:
the background survey server acquires the first resume of the surveyed object;
and acquiring the background investigation interview problems corresponding to the first resume from a pre-constructed background investigation post model library according to the pre-constructed background investigation post model library.
4. A background investigation method according to claim 3, characterized in that the background investigation interview questions corresponding to the first resume comprise general questions and exclusive questions of the position corresponding to the first resume; wherein,
the general problem is obtained from a general post model library in the pre-constructed background investigation post model library, and the special problem is obtained from a specific post model library in the pre-constructed background investigation post model library.
5. The method of claim 1, wherein when the content of the first resume is determined to be real, displaying the difference between the first resume and the second resume with high brightness.
6. A method of contextual research as claimed in claim 1, wherein the interview speech comprises a first speech, the method further comprising:
the background investigation server carries out voice recognition on the first voice to obtain first interview characters;
acquiring a first work experience in the first interview text and a first time period corresponding to the first work experience;
and filling the first time period into the attribute of the first work experience of the second resume.
7. The contextual research method of claim 6, wherein the interview voice further comprises a second voice, the method further comprising:
the background investigation server carries out voice recognition on the second voice to obtain second interview characters;
acquiring a second work experience in the second interview character and a second time period corresponding to the second work experience;
confirming that the second time period is after the first time period, and filling the second time period into the attribute of a second work experience of the second resume, wherein the second work experience is after the first work experience;
confirming that the second time period is before the first time period, and filling the second time period into the attribute of a second work experience of the second resume, wherein the second work experience is before the first work experience.
8. A background investigation apparatus, characterized in that the apparatus is a background investigation server, the apparatus comprises an acquisition module (1) and a processing module (2); wherein,
the acquisition module (1) is used for acquiring interview voice in a background investigation process so that the processing module (2) can recognize the interview voice and convert the interview voice into interview characters;
acquiring keywords in the interview characters;
acquiring an attribute value corresponding to the keyword so that the processing module (2) can conveniently fill the attribute value into a second resume;
the processing module (2) is used for calculating the similarity of the first resume and the second resume, and comparing and judging the similarity value generated by calculation with a preset similarity threshold value; the first resume is a resume generated when the user interviews, and the second resume is a resume template containing keywords;
and when the similarity value is greater than or equal to the similarity threshold value, confirming that the content of the first resume is real content.
9. An electronic device, comprising a processor (1001), a memory (1005) and a transceiver, the memory (1005) being configured to store instructions, the transceiver being configured to communicate with other devices, the processor (1001) being configured to execute the instructions stored in the memory (1005) to cause the electronic device (1000) to perform the method of any of claims 1 to 7.
10. A computer-readable storage medium having stored thereon instructions which, when executed, perform the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211026916.5A CN115422909A (en) | 2022-08-25 | 2022-08-25 | Background investigation method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211026916.5A CN115422909A (en) | 2022-08-25 | 2022-08-25 | Background investigation method and device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115422909A true CN115422909A (en) | 2022-12-02 |
Family
ID=84197552
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211026916.5A Pending CN115422909A (en) | 2022-08-25 | 2022-08-25 | Background investigation method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115422909A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101141456A (en) * | 2007-10-09 | 2008-03-12 | 南京财经大学 | Vertical search based network data excavation method |
| CN101315681A (en) * | 2007-05-28 | 2008-12-03 | 上海易米信息科技有限公司 | Curriculum vitae background survey method based on internet |
| CN110232555A (en) * | 2019-04-26 | 2019-09-13 | 平安科技（深圳）有限公司 | Applicant's background check method, apparatus, equipment and computer readable storage medium |
| CN110287443A (en) * | 2019-06-28 | 2019-09-27 | 腾讯科技（深圳）有限公司 | A kind of method and relevant apparatus of page data displaying |
| CN110377560A (en) * | 2019-07-18 | 2019-10-25 | 中科鼎富（北京）科技发展有限公司 | A kind of structural method and device of biographic information |
| CN111507758A (en) * | 2020-04-09 | 2020-08-07 | 深圳传世智慧科技有限公司 | Semantic analysis-based investigation method, device, system and server |
| CN112100999A (en) * | 2020-09-11 | 2020-12-18 | 河北冀联人力资源服务集团有限公司 | Resume text similarity matching method and system |
-
2022
- 2022-08-25 CN CN202211026916.5A patent/CN115422909A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101315681A (en) * | 2007-05-28 | 2008-12-03 | 上海易米信息科技有限公司 | Curriculum vitae background survey method based on internet |
| CN101141456A (en) * | 2007-10-09 | 2008-03-12 | 南京财经大学 | Vertical search based network data excavation method |
| CN110232555A (en) * | 2019-04-26 | 2019-09-13 | 平安科技（深圳）有限公司 | Applicant's background check method, apparatus, equipment and computer readable storage medium |
| CN110287443A (en) * | 2019-06-28 | 2019-09-27 | 腾讯科技（深圳）有限公司 | A kind of method and relevant apparatus of page data displaying |
| CN110377560A (en) * | 2019-07-18 | 2019-10-25 | 中科鼎富（北京）科技发展有限公司 | A kind of structural method and device of biographic information |
| CN111507758A (en) * | 2020-04-09 | 2020-08-07 | 深圳传世智慧科技有限公司 | Semantic analysis-based investigation method, device, system and server |
| CN112100999A (en) * | 2020-09-11 | 2020-12-18 | 河北冀联人力资源服务集团有限公司 | Resume text similarity matching method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111104521B (en) | Anti-fraud detection method and detection system based on graph analysis | |
| CN111753075B (en) | Method and device for creating customer service robot question-answer data and computer equipment | |
| CN110751533B (en) | Product portrait generation method and device, computer equipment and storage medium | |
| CN110442697B (en) | Man-machine interaction method, system, computer equipment and storage medium | |
| CN110689325A (en) | Information processing method, device and computer readable storage medium | |
| CN110457203A (en) | Crawler service test method, device, computer equipment and storage medium | |
| CN110990541A (en) | Method and device for realizing question answering | |
| CN114627330A (en) | Time sequence flow prediction method and device, storage medium and electronic equipment | |
| CN110516162A (en) | A kind of information recommendation method, device, equipment and storage medium | |
| CN112836041B (en) | Personnel relationship analysis method, device, equipment and storage medium | |
| CN112015870B (en) | Data uploading method and device | |
| CN111401055B (en) | Method and apparatus for extracting context information from financial information | |
| CN112966076A (en) | Intelligent question and answer generating method and device, computer equipment and storage medium | |
| CN111046382A (en) | Database auditing method, device, storage medium and device | |
| CN116955182A (en) | Abnormality index analysis method, abnormality index analysis device, abnormality index analysis storage medium, abnormality index analysis device, abnormality index analysis program, and | |
| CN115422909A (en) | Background investigation method and device, electronic equipment and storage medium | |
| CN116319089A (en) | Dynamic weak password detection method, device, computer equipment and medium | |
| CN110930106A (en) | Information processing method, device and system of online interview system | |
| CN116304155A (en) | Three-dimensional member retrieval method, device, equipment and medium based on two-dimensional picture | |
| CN110825960A (en) | Learning content recommendation method and device | |
| CN116302240A (en) | Information display method and device, computer equipment and storage medium | |
| US20220109615A1 (en) | Integration navigator and intelligent monitoring for living systems | |
| CN110110280B (en) | Curve integral calculation method, device and equipment for coordinates and storage medium | |
| CN112328937B (en) | Information delivery method and device | |
| CN112507129B (en) | Content change processing method of power distribution network operation file and related equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |