CN111833020A - Interviewing method and device, electronic equipment and computer readable storage medium - Google Patents
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Abstract
The present disclosure provides an interview method, an interview device, an electronic device and a computer-readable storage medium, wherein the interview method comprises the following steps: acquiring interview time period distribution information, determining interview time period information according to the interview time period distribution information, and updating the interview time period distribution information; acquiring interviewer recommendation information, and determining interviewer staff information according to the interviewer recommendation information and interview time period information; acquiring interview score information and interviewer evaluation information in an interview time period corresponding to the interview time period information; determining recruitment result information according to the interview score information; and updating the interviewer recommendation information according to the interviewer evaluation information. The interview method provided by the disclosure can provide user selection according to interview time period distribution information, automatically update the interview time period distribution information and realize centralized and efficient arrangement of interviews.
Description
Technical Field
The disclosure relates to the technical field of computer artificial intelligence, in particular to an interview method, an interview device, electronic equipment and a computer-readable storage medium.
Background
The enterprise can not develop talents, and interviewing is a key link in the talent recruitment process. In the existing interview mode, an applicant to be invited to an interview officer interviews one by one in an enterprise, in the process, related staff of a human resource department needs to coordinate the applicant and the interview officer, on one hand, a proper talent needs to be selected objectively as much as possible, on the other hand, the interview workload of the interview officer needs to be considered, and the interview officer can be guaranteed to be fair and objective and keep good energy during interview.
However, the prior art does not have an interview management system for coordinating the recruiters, interviewers and recruitment staff, and only relies on human force to host and manage the recruitment. In a large-scale interview working scene, the number of the interviewers participating in the interview is large, the number of interviewers is limited, the working density is high, and the recruitment coordination work performed by manpower is extremely complex, so that the problems of low recruitment working efficiency, non-objective recruitment result and non-ideal effect are caused.
Disclosure of Invention
The purpose of the disclosed embodiments is to address at least one of the above-mentioned deficiencies, and it is intended to provide a summary in order to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
In a first aspect, the present disclosure provides a method of interviewing comprising the steps of:
acquiring interview time period distribution information, determining interview time period information according to the interview time period distribution information, and updating the interview time period distribution information;
acquiring interviewer recommendation information, and determining interviewer staff information according to the interviewer recommendation information and interview time period information;
acquiring interview score information and interviewer evaluation information in an interview time period corresponding to the interview time period information; determining recruitment result information according to the interview score information; and updating the interviewer recommendation information according to the interviewer evaluation information.
In a second aspect, the present disclosure provides an interview apparatus comprising:
the time recommendation module is used for acquiring interview time period distribution information, determining interview time period information according to the interview time period distribution information and updating the interview time period distribution information;
the interviewer recommendation module is used for acquiring interviewer recommendation information and determining interviewer personnel information according to the interviewer recommendation information and the interview time period information;
the result determining module is used for acquiring interview score information and interviewer evaluation information in an interview time period corresponding to the interview time period information; determining recruitment result information according to the interview score information; and updating the interviewer recommendation information according to the interviewer evaluation information.
In a third aspect, the present disclosure provides an electronic device, comprising:
a processor;
a memory electrically connected to the processor;
at least one program stored in the memory and configured to be executed by the processor, the at least one program configured to: implementing the interviewing method as provided in the first aspect of the disclosure.
In a fourth aspect, the present disclosure provides a computer-readable storage medium having a computer program stored thereon, the computer-readable storage medium being characterized in that the computer program, when executed by an electronic device, implements the interview method as provided in the first aspect of the present disclosure.
The technical scheme provided by the disclosure has the following beneficial effects:
the interview method provided by the disclosure can provide user selection according to interview time period distribution information and automatically update the interview time period distribution information according to the user selection. In addition, the interviewer staff information is determined according to the interviewer recommendation information obtained by the system through automatic analysis and the selected interview time period information, and the data corresponding to the interviewer recommendation information is updated according to the interview result obtained after interviewing so as to be prepared for subsequent interview arrangement, so that the centralized and efficient interview arrangement is realized.
Additional aspects and advantages of embodiments of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Fig. 1 is a schematic flow chart of an interview method according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart illustrating obtaining of interview period distribution information according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart illustrating determining interview time period information and updating interview time period allocation information according to an embodiment of the present disclosure;
fig. 4 is a schematic flow chart illustrating a process of acquiring interview officer evaluation information in an interview period corresponding to interview period information according to an embodiment of the present disclosure;
fig. 5 is a schematic flow chart illustrating updating interviewer recommendation information according to interviewer evaluation information according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of an interview apparatus according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of an electronic device provided in the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the devices, modules or units to be determined as different devices, modules or units, and are not used for limiting the sequence or interdependence relationship of the functions executed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The disclosure will be described and explained with reference to several terms:
and the system analyzes and adjusts the obtained selectable interview time period according to the time arrangement of the interview activities and the specific interview time of the candidate.
The interview time period information refers to a specific interview time period selected by a candidate in the system according to the interview time period distribution information.
The interviewer recommendation information represents an interviewer recommendation scheme analyzed by the system according to the set selected information parameters, and the specific selected information parameters will be described in detail later.
The interview officer information comprises the name of an interviewer who performs interviews in a certain interview period, the profession, corresponding candidates and the like.
The interview score information includes an evaluation value obtained by the candidate in a certain interview time period.
Interviewer evaluation information indicating the candidate's evaluation value for an interviewer in a certain interview period is generated in association with the interview score information.
The recruitment result information represents the result of a candidate after interviewing, and is recorded or not recorded.
In the current working practice, interview activities depend on coordination between candidates and interviewers by human resource workers, and suitable candidates corresponding to interviewers are arranged according to the idle time and the specialty of the candidates and the working time and the specialty of the interviewers, so that the working capacity of the candidates can be objectively and fairly known, and the suitable candidates can be selected. However, the information processed by this work is complex, and dynamic adjustment is performed at any time, which tends to result in low work efficiency, and is difficult to deal with for large-scale interviews.
The present disclosure provides a method and an apparatus for house property data query, an electronic device, and a computer readable medium, which are intended to solve the above technical problems in the prior art.
The following describes the technical solutions of the present disclosure and how to solve the above technical problems in specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present disclosure will be described below with reference to the accompanying drawings.
An embodiment of the present disclosure provides an interviewing method, as shown in fig. 1, including the following steps:
s100: acquiring the interview time period distribution information, determining the interview time period information according to the interview time period distribution information, and updating the interview time period distribution information.
S200: acquiring the interviewer recommendation information, and determining the interviewer staff information according to the interviewer recommendation information and the interview time period information.
S300: acquiring interview score information and interviewer evaluation information in an interview time period corresponding to the interview time period information; determining recruitment result information according to the interview score information; and updating the interviewer recommendation information according to the interviewer evaluation information.
After S100, the system acquires the interview time period distribution information and recommends the interview time period distribution information to a candidate using the system, the candidate selects a certain interview time period included in the interview time period distribution information, and the system determines to obtain the selected interview time period information. Since one interview period is selected from the interview period distribution information acquired by the system, the interview period distribution information is updated by the system and is called new interview period distribution information to be provided to another candidate.
After the interview time period information is determined, according to the interview officer recommendation information, which interview officer specifically interviews in the interview time period corresponding to the interview time period information is determined, and therefore interview activities are arranged. The interview result is correspondingly generated in the interview activity and is represented by two items, wherein one item is the interview score given to the candidate by the interviewer, namely the interview score information, and the other item is the impression score of the candidate to the interviewer, namely the interviewer evaluation information. And processing the interview score information to obtain whether the candidate is enrolled or not, namely determining the recruitment result information. And updating the interviewer recommendation information by the system according to the interviewer evaluation information to determine the next interview work arrangement of the interviewer.
The interview method provided by the disclosure can provide user selection according to interview time period distribution information, automatically update the interview time period distribution information and continuously provide an optimal interview time period selection scheme for candidates. In addition, interviewer staff information is determined according to interviewer recommendation information obtained by automatic analysis of the system and selected interview time period information, and data corresponding to the interviewer recommendation information is updated according to interview results obtained after interviewing so as to prepare for subsequent interview arrangement, so that centralized and efficient interview arrangement is realized, the labor intensity of human resource workers is effectively reduced, and the efficiency of recruitment work is improved.
Optionally, in an embodiment of the present disclosure, the step of obtaining the interview period allocation information, which is mentioned in S100, as shown in fig. 2, specifically includes:
s110: the method comprises the steps of obtaining a plurality of interview arrangement information, wherein the interview arrangement information comprises interview time period information, interview officer number and candidate number in an interview time period corresponding to the interview time period information. After the interview is started, the relevant personnel initially confirm the interview work schedule, how many interviewers and how many candidates are scheduled in a certain period of time.
S120: and determining the priority weight information of each interview arrangement information according to the preset evaluation relation information of the number of interviewees and the number of candidates.
After receiving the interview notification, the candidate is informed to the system to select a specific interview time period, and at the moment, the system can recommend the most appropriate time period for the candidate according to the actual situation. And evaluating interview time periods corresponding to all interview time period information in the interview arrangement information according to the preset evaluation relation information to correspondingly obtain an evaluation value. The preset evaluation relationship information may be specifically expressed by the following formula (1):
s130: and sequencing the interview arrangement information according to the priority weight information, and determining interview time period distribution information. And (3) obtaining an evaluation value of each interview time period according to the formula (1), and then sequencing according to the size to determine interview time period distribution information which is provided for a candidate to choose.
Specifically, in one implementation manner of the foregoing embodiment, determining interview period information and updating the interview period allocation information according to the interview period allocation information, as shown in fig. 3, includes:
s131: and acquiring interview arrangement information selected by the user according to the interview time period distribution information, and determining interview time period information in the selected interview arrangement information. The user selects one piece of interview scheduling information according to the interview time period distribution information recommended by the system, so that the interview time period when the user conducts interview is specifically determined, namely the specific interview time period of the candidate.
S132: and updating the number of interviewees and the number of candidates in the interview period corresponding to the interview period information according to the determined interview period information so as to determine updated interview period distribution information. After the candidate determines the interview time period information, the interview time period information in the selected interview arrangement information in the interview time period distribution information is occupied, and the number of interviewees and the number of candidates in the interview arrangement information are correspondingly updated. Accordingly, the interview period assignment information can be updated accordingly, and the updating can be performed in the manner described above.
Possibly, in another embodiment of the present disclosure, the step of acquiring the interviewer evaluation information in the interview period corresponding to the interview period information included in S200 specifically includes, as shown in fig. 4:
s210: and acquiring the interview score information of all candidates given by one interviewer in the ith round, and determining the evaluation score information of all the candidates in the ith round. Each candidate may be faced with multiple rounds of interviews, each round of interview corresponding to an interview time period and corresponding to at least one interviewer. The ith round may be the first round, possibly the second round, where i is a positive integer. Each round of interviewing is equivalent to different interviewing work for the same candidate, the candidate can obtain the interviewing result given by the interviewer in each round of interviewing, and correspondingly, the interviewer who performs the interviewing is also evaluated.
S220: and determining the interview fitting degree information of the ith round according to the preset interview fitting relation information. The preset interview fit relationship is the post matching degree evaluation determined according to a preset algorithm and related to the interview score given by the interviewer, namely the fit degree of the candidate to a certain post. The preset interview matching relationship can be expressed as formula (2) as follows:
S230: and acquiring experience scoring information for the interviewer, which is given by all the candidates in the ith round. The candidate feeds back the experience score of the interviewer after the interview is finished, and the scoring range is A: 0 to 100 minutes.
S240: and determining interviewer evaluation information according to the interview fitting degree information and the experience grading information of the ith round. The experience scoring information of the candidate can influence the evaluation of the interviewer, and further influence the interview fit information of the interview, and the interview fit information is obtained by combining the experience scoring information and the previous interview fit information, wherein the specifically adopted algorithm is formula (3):
specifically, in an implementation manner of the foregoing embodiment, obtaining experience score information for an interviewer given by all candidates in the ith round includes:
and taking the average value of the plurality of individual test scores as experience scoring information according to the plurality of individual test scores aiming at the interviewer given by all candidates in the ith round. That is, a applied to formula (3) is an average value obtained from candidate evaluation scores obtained from experience scoring information obtained from all interviews in which a certain interviewer participates.
Possibly, in another embodiment of the present disclosure, the updating the interviewer recommendation information according to the interviewer evaluation information, which is included in S300, as shown in fig. 5, includes:
s310: and acquiring the number information of interview scenes of the interviewer in a preset time period. Once the interview is scheduled, the interviewer is scheduled for the candidate who has been registered, and the system can acquire the number Y of interviews that the interviewer will participate in within a certain period of time, that is, the information of the number of interviews.
S320: and determining the idle time factor of the interviewer according to the interview field number information. The number of interviews information includes the number of interviews, i.e., Y mentioned in S310, the expected time of interviews, so that the free time factor α of the interviewer can be determined, i.e., the vacancy degree of the interviewer can be evaluated, according to a specific free time algorithm. This particular idle time algorithm may specifically employ equation (4):
S330: and determining new interviewer recommendation information according to the idle time factor and the interviewer evaluation information. And (3) combining the free time factor of the interviewer and interviewer evaluation information obtained by the candidate who has been interviewed before with the interviewer evaluation information, obtaining a comprehensive score for the interviewer according to a formula (5), obtaining the comprehensive scores of all the interviewers in the mode, and sequencing the comprehensive scores of all the interviewers to obtain new interviewer recommendation information. Wherein the formula (5) is specifically:
the factor that most influences the recommendation degree of the interviewer in the interviewer recommendation information is still the idle time factor, that is, the idle degree of the interviewer is large during a certain interview time period.
Possibly, in an embodiment of the present disclosure, the step of determining the recruitment result information according to the interview score information, which is included in S300, specifically includes:
and acquiring the interview score information of each round of interview of each candidate, and determining the interview total score information of each candidate. Then, the total score information of all the candidates is sorted, and the order achievement sequence is determined. And determining the information of the recruitment result according to the preset sequence and the interview result sequence. Whether the candidate can be logged can be determined, the total scores of interviews obtained by all the candidates can be sorted from high to low directly according to the scoring conditions of interviews of all the candidates in all rounds, a plurality of candidates in the top of the interview score sequence are selected according to the post demand, and the candidate passing the interview is selected, namely the information of the candidate result is determined. Of course, the final recruitment result information may also be determined by using the interview contact information or interviewer evaluation information mentioned in the foregoing embodiments, and the method is similar to the method using the interview total score information and is not described in detail.
In another possible embodiment of the disclosure, the step of determining the recruitment result information based on the interview score information further comprises:
the interview score information of a plurality of rounds of interviews of a candidate is obtained, and interview deviation information of the candidate is determined. And if the interview deviation information is larger than a preset value, determining candidate rechecking information. The system analyzes the interview scores of the candidates participating in the interview to obtain the interviewers deviating from the preset value, so that the fact that the interviews of the candidates are possible to be unaffiliated in the interview process is judged, and therefore the candidates need to be checked again. And after candidate rechecking information is obtained according to a preset checking algorithm, the system pushes the rechecking information to human resource workers so as to determine the follow-up recruitment work. In this embodiment, the checking algorithm may specifically adopt formula (6):
Based on the same inventive concept, the present disclosure also provides an interview apparatus 10, as shown in fig. 6, including a time recommending module 11, an interviewer recommending module 12, and a result determining module 13. The time recommendation module 11 is configured to obtain the interview time period distribution information, determine the interview time period information according to the interview time period distribution information, and update the interview time period distribution information. The interviewer recommendation module 12 is configured to obtain interviewer recommendation information, and determine interviewer staff information according to the interviewer recommendation information and the interview time period information. The result determining module 13 is configured to obtain interview score information and interviewer evaluation information in an interview time period corresponding to the interview time period information; determining recruitment result information according to the interview score information; and updating the interviewer recommendation information according to the interviewer evaluation information.
The step of acquiring the interview time period distribution information by the time recommendation module 11 includes: the method comprises the steps of obtaining a plurality of interview arrangement information, wherein the interview arrangement information comprises interview time period information, interview officer number and candidate number in an interview time period corresponding to the interview time period information. And determining the priority weight information of each interview arrangement information according to the preset evaluation relation information of the number of interviewees and the number of candidates. And sequencing the interview arrangement information according to the priority weight information, and determining interview time period distribution information.
The time recommendation module 11 determines the interview time period information and updates the interview time period allocation information according to the interview time period allocation information, including:
and acquiring interview arrangement information selected by the user according to the interview time period distribution information, and determining interview time period information in the selected interview arrangement information. And updating the number of interviewees and the number of candidates in the interview period corresponding to the interview period information according to the determined interview period information so as to determine updated interview period distribution information.
The step of acquiring the interviewer evaluation information by the interviewer recommendation module 12 in the interview time period corresponding to the interview time period information includes:
and acquiring the interview score information of all candidates given by one interviewer in the ith round, and determining the evaluation score information of all the candidates in the ith round. And determining the interview fitting degree information of the ith round according to the preset interview fitting relation information. And acquiring experience scoring information for the interviewer, which is given by all the candidates in the ith round. And determining interviewer evaluation information according to the interview fitting degree information and the experience grading information of the ith round.
The interviewer recommendation module 12 obtains experience score information for the interviewer given by all candidates in the ith round, including: and taking the average value of the plurality of individual test scores as experience scoring information according to the plurality of individual test scores aiming at the interviewer given by all candidates in the ith round.
The result determining module 13 updates the interviewer recommendation information according to the interviewer evaluation information, including:
and acquiring the number information of interview scenes of the interviewer in a preset time period. And determining the idle time factor of the interviewer according to the interview field number information. And determining new interviewer recommendation information according to the idle time factor and the interviewer evaluation information.
The step of determining the recruitment result information by the result determining module 13 according to the interview score information comprises the following steps: and acquiring the interview score information of each round of interview of each candidate, and determining the interview total score information of each candidate. And sequencing the total interview score information of all the candidates, and determining an interview score sequence. And determining the information of the recruitment result according to the preset sequence and the interview result sequence.
The step of determining the recruitment result information by the result determining module 13 according to the interview score information further comprises the following steps:
the interview score information of a plurality of rounds of interviews of a candidate is obtained, and interview deviation information of the candidate is determined. And if the interview deviation information is larger than a preset value, determining candidate rechecking information.
Referring now to FIG. 7, a block diagram of an electronic device 100 suitable for use in implementing embodiments of the present disclosure is shown. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
The electronic device comprises a memory and a processor, wherein the processor may be referred to as the lower processing device 101, the memory comprises at least one of a Read Only Memory (ROM)102, a Random Access Memory (RAM)103 and a storage device 108, which are described as follows:
as shown in fig. 7, the electronic device 100 may include a processing means (e.g., a central processing unit, a graphic processor, etc.) 101 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)102 or a program loaded from a storage means 108 into a Random Access Memory (RAM) 103. In the RAM 103, various programs and data necessary for the operation of the electronic apparatus 100 are also stored. The processing device 101, the ROM 102, and the RAM 103 are connected to each other via a bus 104. An input/output (I/O) interface 105 is also connected to bus 104.
Generally, the following devices may be connected to the I/O interface 105: input devices 106 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 107 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 108 including, for example, magnetic tape, hard disk, etc.; and a communication device 109. The communication means 109 may allow the electronic device 100 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 illustrates an electronic device 100 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication means 109, or installed from the storage means 108, or installed from the ROM 102. The computer program, when executed by the processing device 101, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform the interview method.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules or units described in the embodiments of the present disclosure may be implemented by software or hardware. Wherein the designation of a module or unit does not in some cases constitute a limitation of the unit itself.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
According to one or more embodiments of the present disclosure, there is provided an interview method comprising the steps of:
acquiring interview time period distribution information, determining interview time period information according to the interview time period distribution information, and updating the interview time period distribution information;
acquiring interviewer recommendation information, and determining interviewer staff information according to the interviewer recommendation information and interview time period information;
acquiring interview score information and interviewer evaluation information in an interview time period corresponding to the interview time period information; determining recruitment result information according to the interview score information; and updating the interviewer recommendation information according to the interviewer evaluation information.
In one possible implementation, the step of obtaining the interview period allocation information includes:
acquiring a plurality of interview arrangement information, wherein the interview arrangement information comprises interview time period information, interview officer number and candidate number in an interview time period corresponding to the interview time period information;
determining priority weight information of each interview arrangement information according to preset evaluation relation information of the number of interviewees and the number of candidates;
and sequencing the interview arrangement information according to the priority weight information, and determining interview time period distribution information.
In one possible implementation manner, determining interview period information and updating the interview period allocation information according to the interview period allocation information includes:
acquiring interview arrangement information selected by a user according to the interview time period distribution information, and determining interview time period information in the selected interview arrangement information;
and updating the number of interviewees and the number of candidates in the interview period corresponding to the interview period information according to the determined interview period information so as to determine updated interview period distribution information.
In a possible implementation manner, the step of acquiring the interviewer evaluation information in an interview time period corresponding to the interview time period information includes:
acquiring interview score information of all candidates given by one interviewer in the ith round, and determining evaluation score information of all candidates in the ith round;
determining interview fitting degree information of the ith round according to preset interview fitting relation information;
acquiring experience scoring information aiming at the interviewer given by all candidates in the ith round;
and determining interviewer evaluation information according to the interview fitting degree information and the experience grading information of the ith round.
In a possible implementation manner, obtaining experience score information for an interviewer given by all candidates in the ith round includes:
and taking the average value of the plurality of individual test scores as experience scoring information according to the plurality of individual test scores aiming at the interviewer given by all candidates in the ith round.
In one possible implementation manner, updating the interviewer recommendation information according to the interviewer evaluation information includes:
acquiring interview scene number information of an interviewer in a preset time period;
determining the idle time factor of the interviewer according to the interview field number information;
and determining new interviewer recommendation information according to the idle time factor and the interviewer evaluation information.
In one possible implementation manner, the step of determining the recruitment result information according to the interview score information includes:
acquiring interview score information of each round of interview of each candidate, and determining interview total score information of each candidate;
ordering the total interview score information of all candidates, and determining an interview score sequence;
and determining the information of the recruitment result according to the preset sequence and the interview result sequence.
In one possible implementation manner, the step of determining the recruitment result information according to the interview score information further includes:
acquiring interview score information of a plurality of rounds of interviews of a candidate, and determining interview deviation information of the candidate;
and if the interview deviation information is larger than a preset value, determining candidate rechecking information.
According to one or more embodiments of the present disclosure, there is provided an interview apparatus including:
the time recommendation module is used for acquiring interview time period distribution information, determining interview time period information according to the interview time period distribution information and updating the interview time period distribution information;
the interviewer recommendation module is used for acquiring interviewer recommendation information and determining interviewer personnel information according to the interviewer recommendation information and the interview time period information;
the result determining module is used for acquiring interview score information and interviewer evaluation information in an interview time period corresponding to the interview time period information; determining recruitment result information according to the interview score information; and updating the interviewer recommendation information according to the interviewer evaluation information.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (11)
1. An interview method comprising the steps of:
acquiring interview time period distribution information, determining interview time period information according to the interview time period distribution information, and updating the interview time period distribution information;
acquiring interviewer recommendation information, and determining interviewer officer personnel information according to the interviewer recommendation information and the interview time period information;
acquiring interview score information and interviewer evaluation information in an interview time period corresponding to the interview time period information; determining recruitment result information according to the interview score information; and updating the interviewer recommendation information according to the interviewer evaluation information.
2. The interview method of claim 1 wherein said step of obtaining interview period assignment information comprises:
acquiring a plurality of pieces of interview arrangement information, wherein the interview arrangement information comprises interview time period information, the number of interviewers and the number of candidates in an interview time period corresponding to the interview time period information;
determining priority weight information of each interview arrangement information according to preset evaluation relation information of the number of interviewees and the number of candidates;
and sequencing a plurality of interview arrangement information according to the priority weight information, and determining interview time period distribution information.
3. The interview method of claim 2, wherein determining interview period information and updating the interview period assignment information based on the interview period assignment information comprises:
acquiring interview arrangement information selected by a user according to the interview time period distribution information, and determining interview time period information in the selected interview arrangement information;
and updating the number of interviewees and the number of candidates in the interview time period corresponding to the interview time period information according to the determined interview time period information so as to determine updated interview time period distribution information.
4. The interview method according to claim 1, wherein the step of obtaining interviewer evaluation information in the interview period corresponding to the interview period information comprises:
acquiring interview score information of all candidates given by one interviewer in the ith round, and determining evaluation score information of all candidates in the ith round;
determining interview fitting degree information of the ith round according to preset interview fitting relation information;
acquiring experience scoring information for the interviewer given by all candidates in the ith round;
and determining the interviewer evaluation information according to the interview fitting degree information and the experience grading information of the ith round.
5. The interviewing method according to claim 4, wherein the obtaining of the experience score information for the interviewer given by all candidates in the ith round comprises:
and taking the average value of the experience scores as the experience scoring information according to the individual experience scores given by all candidates in the ith round and aiming at the interviewer.
6. The interviewing method according to claim 1, wherein said updating the interviewer recommendation information based on the interviewer evaluation information comprises:
acquiring interview scene number information of an interviewer in a preset time period;
determining an idle time factor of the interviewer according to the interview field number information;
and determining new interviewer recommendation information according to the idle time factor and the interviewer evaluation information.
7. The interview method of claim 1 wherein said step of determining recruitment outcome information based on said interview score information comprises:
acquiring the interview score information of each round of interview of each candidate, and determining the interview total score information of each candidate;
sequencing the total score information of all candidates to determine an interview score sequence;
and determining the recruitment result information according to a preset sequence and the interview result sequence.
8. The interview method of claim 1 wherein said step of determining recruitment outcome information based on interview score information further comprises:
acquiring the interview score information of a plurality of rounds of interviews of a candidate, and determining interview deviation information of the candidate;
and if the interview deviation information is larger than a preset value, determining the candidate rechecking information.
9. An interview apparatus, comprising:
the time recommendation module is used for acquiring interview time period distribution information, determining interview time period information according to the interview time period distribution information and updating the interview time period distribution information;
the interviewer recommendation module is used for acquiring interviewer recommendation information and determining interviewer personnel information according to the interviewer recommendation information and the interview time period information;
the result determining module is used for acquiring interview score information and interviewer evaluation information in an interview time period corresponding to the interview time period information; determining recruitment result information according to the interview score information; and updating the interviewer recommendation information according to the interviewer evaluation information.
10. An electronic device, comprising:
a processor;
a memory electrically connected with the processor;
at least one program stored in the memory and configured to be executed by the processor, the at least one program configured to: a method of performing an interview according to any one of claims 1 to 8.
11. A computer-readable storage medium, on which a computer program is stored, the computer program being characterized in that it, when executed by an electronic device, implements the interview method according to any one of claims 1-8.
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Address after: 100041 B-0035, 2 floor, 3 building, 30 Shixing street, Shijingshan District, Beijing. Applicant after: Tiktok vision (Beijing) Co.,Ltd. Address before: 100041 B-0035, 2 floor, 3 building, 30 Shixing street, Shijingshan District, Beijing. Applicant before: BEIJING BYTEDANCE NETWORK TECHNOLOGY Co.,Ltd. Address after: 100041 B-0035, 2 floor, 3 building, 30 Shixing street, Shijingshan District, Beijing. Applicant after: Douyin Vision Co.,Ltd. Address before: 100041 B-0035, 2 floor, 3 building, 30 Shixing street, Shijingshan District, Beijing. Applicant before: Tiktok vision (Beijing) Co.,Ltd. |
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Application publication date: 20201027 |