CN117709914A - Post matching method and system - Google Patents
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Abstract
The invention is applicable to the technical field of post matching, and provides a post matching method and a post matching system, wherein the post matching method comprises the following steps: retrieving post browsing data of the job seeker, and analyzing the post browsing data to determine first intention information and first rejection information of the job seeker; the post communication information of the job seeker is called, and is analyzed to determine second intention information and second rejection information of the job seeker; automatically updating and perfecting the personal resume of the job seeker according to the first intention information, the second intention information, the first rejection information and the second rejection information; receiving an update editing modification instruction, modifying the updated personal resume, and re-matching positions for the job seeker according to the modified personal resume; and receiving an unintended post matching instruction, and carrying out post matching again. The invention can automatically update and perfect the personal resume in the job seeker job seeking process, so that the post matching is more accurate and meets the user requirement.
Description
Technical Field
The invention relates to the technical field of post matching, in particular to a post matching method and system.
Background
The prior recruitment software can perform post matching according to the job seeking intention of the job seeker and the personal resume, so that the job seeker can recommend proper posts for the job seeker, the job seeker can know own conditions and own demands more clearly and accurately in the continuous job seeking process, the original personal resume is probably not applicable at this time, the job seeker can not frequently update the personal resume, errors exist in the post matched by the system, and the system is not accurate enough. Therefore, there is a need to provide a post matching method and system, which aims to solve the above problems.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a post matching method and a post matching system so as to solve the problems existing in the background art.
The invention is realized in such a way that a post matching method comprises the following steps:
retrieving post browsing data of the job seeker, and analyzing the post browsing data to determine first intention information and first rejection information of the job seeker;
the post communication information of the job seeker is called, and is analyzed to determine second intention information and second rejection information of the job seeker;
automatically updating and perfecting the personal resume of the job seeker according to the first intention information, the second intention information, the first rejection information and the second rejection information;
receiving an update editing modification instruction, modifying the updated personal resume, and re-matching positions for the job seeker according to the modified personal resume;
and receiving an unconscious position matching instruction, and carrying out position matching again according to the personal resume, wherein the unconscious position of the job seeker is unconscious during matching.
As a further scheme of the invention: the step of analyzing the post browsing data to determine the first intention information and the first rejection information of the job seeker specifically comprises the following steps:
classifying post browsing data according to browsing time and browsing times to obtain intention browsing data and exclude browsing data, wherein each post browsing data comprises browsing time, browsing times and post information;
extracting the same characteristics of all post information in the intention browsing data, and determining first intention information of the job seeker based on the same characteristics;
and extracting the same characteristics of all post information in the rejection browsing data, and determining the first rejection information of the job seeker based on the same characteristics.
As a further scheme of the invention: the step of extracting the same features of all the post information in the intention browsing data and determining the first intention information of the job seeker based on the same features specifically comprises the following steps:
extracting each descriptive characteristic statement of post information in all intention browsing data;
judging that the description characteristic statement has a ratio in all intention browsing data, and determining that the description characteristic statement is the same characteristic when the ratio is larger than a set ratio value;
and integrating all the same features to determine the first intention information of the job seeker.
As a further scheme of the invention: the step of analyzing the post communication information to determine the second intention information and the second rejection information of the job seeker specifically comprises the following steps:
classifying post communication information according to a communication result to obtain intention communication information and rejection communication information, wherein the communication result is marked by job seekers, and the communication result is feasible or not;
extracting high-frequency exchange words in all intention exchange information, and determining second intention information of the job seeker based on the high-frequency exchange words;
and extracting high-frequency exchange words in all the rejection exchange information, and determining second rejection information of the job seeker based on the high-frequency exchange words.
As a further scheme of the invention: the step of extracting the high-frequency communication vocabulary in all the intention communication information specifically comprises the following steps:
extracting and integrating all intention communication information into an intention communication language record;
extracting all the words in the intent communication language records, and arranging all the words in a descending order according to the occurrence frequency;
the vocabulary arranged in the first N bits is determined to be high-frequency alternating current vocabulary, wherein N is a positive integer.
As a further scheme of the invention: when the positions are matched, when the intention information is matched with the information in the recruitment position, the matching result is positively added; and when the rejection information is matched with the information in the recruitment post, negatively deducting the matching result.
It is another object of the present invention to provide a post matching system, the system comprising:
the first intention rejection module is used for retrieving post browsing data of the job seeker, analyzing the post browsing data and determining first intention information and first rejection information of the job seeker;
the second intention rejection module is used for retrieving post communication information of the job seeker, analyzing the post communication information and determining second intention information and second rejection information of the job seeker;
the resume updating and perfecting module is used for automatically updating and perfecting the personal resume of the job seeker according to the first intention information, the second intention information, the first rejection information and the second rejection information;
the resume editing and modifying module is used for receiving an update editing and modifying instruction, modifying the updated personal resume and re-matching the job seeker with positions according to the modified personal resume;
and the unconscious post matching module is used for receiving an unconscious target post matching instruction, and carrying out post matching again according to the personal resume, and unconscious target posts of staff are avoided during matching.
As a further scheme of the invention: the first intention rejection module includes:
the post data classification unit is used for classifying post browsing data according to browsing time and browsing times to obtain intention browsing data and exclude browsing data, wherein each post browsing data comprises browsing time, browsing times and post information;
the first intention information unit is used for extracting the same characteristics of all post information in the intention browsing data and determining the first intention information of the job seeker based on the same characteristics;
and the first rejection information unit is used for extracting the same characteristics of all post information in the rejection browsing data and determining the first rejection information of the job seeker based on the same characteristics.
As a further scheme of the invention: the first intention information unit includes:
the characteristic statement extraction subunit is used for extracting each piece of descriptive characteristic statement of post information in all intention browsing data;
the occurrence ratio subunit is used for judging the occurrence ratio of the descriptive feature statement in all intention browsing data, and determining that the descriptive feature statement is the same feature when the occurrence ratio is larger than a set ratio value;
and the intention information subunit is used for integrating all the same characteristics and determining the first intention information of the job seeker.
As a further scheme of the invention: the second intention rejection module includes:
the communication information classification unit is used for classifying post communication information according to communication results to obtain intention communication information and rejection communication information, the communication results are marked by job seekers, and the communication results are feasible or not;
the second intention information unit is used for extracting high-frequency exchange words in all intention exchange information and determining second intention information of the job seeker based on the high-frequency exchange words;
and the second rejection information unit is used for extracting high-frequency exchange words in all the rejection exchange information and determining second rejection information of the job seeker based on the high-frequency exchange words.
Compared with the prior art, the invention has the beneficial effects that:
the invention can automatically update and perfect the personal resume in the job seeker job seeking process, so that the post matching is more accurate and meets the user requirement. In addition, the personal resume contains a large amount of intention information and rejection information of job seekers, when the job matching is carried out, the intention information and the rejection information are used, and the matching result is more accurate. In addition, the invention can match without regard to the intention post of the job seeker, and the intention post filled by the user can be removed during matching, so that the job seeker is prevented from missing the proper post because the job name is unfamiliar or not heard.
Drawings
FIG. 1 is a flow chart of a post matching method.
FIG. 2 is a flow chart of determining first intent information and first rejection information of job seekers in a post matching method.
FIG. 3 is a flow chart of determining first intent information of a job seeker based on the same features in a post matching method.
FIG. 4 is a flow chart of determining second intent information and second rejection information of job seekers in a post matching method.
FIG. 5 is a flow chart of extracting high frequency words in all intent to communicate information in a post matching method.
FIG. 6 is a schematic diagram of a post matching system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
As shown in fig. 1, an embodiment of the present invention provides a post matching method, which includes the following steps:
s100, acquiring post browsing data of a job seeker, and analyzing the post browsing data to determine first intention information and first rejection information of the job seeker;
s200, acquiring post communication information of the job seeker, and analyzing the post communication information to determine second intention information and second rejection information of the job seeker;
s300, automatically updating and perfecting the personal resume of the job seeker according to the first intention information, the second intention information, the first rejection information and the second rejection information;
s400, receiving an update editing modification instruction, modifying the updated personal resume, and re-matching positions for the job seeker according to the modified personal resume;
s500, receiving an unobscured post matching instruction, and performing post matching again according to the personal resume, wherein the unobscured post of the job seeker is unobscured during matching.
It should be noted that, the present recruitment software performs post matching according to the job seeking intention and the personal resume of the job seeker, so as to recommend a suitable post for the job seeker, so that the job seeker can know the conditions and the demands of the job seeker more clearly and accurately in the continuous job seeking process, the original personal resume may not be suitable at this time, and the job seeker often does not frequently update the personal resume, so that errors exist in the post matched by the system.
According to the embodiment of the invention, on one hand, post browsing data of the job seeker can be acquired, which post data the job seeker is interested in and which post data is not interested in can be obtained through analyzing the post browsing data, and further, first intention information and first rejection information of the job seeker can be determined; on the other hand, the post exchange information of the job seeker is called, the post exchange information of the job seeker needs to be authorized by a user, the post exchange information is text exchange information between the job seeker and the recruiter, whether the job seeker is satisfied with the post exchange information or not can be obtained through a communication result between the job seeker and the recruiter, further, the post exchange information can be analyzed to determine second intention information and second rejection information of the job seeker, and then personal resume of the job seeker is automatically updated and perfected according to the first intention information, the second intention information, the first rejection information and the second rejection information. In addition, the personal resume contains a large amount of intention information and rejection information of job seekers, and when the intention information is matched with a certain information item in the recruitment posts, the matching result is positively added; when the rejection information is matched with a certain information item in the recruitment post, negative deduction is carried out on the matching result, and the matching result is more accurate. It is easy to understand that a little error may exist in the automatically updated personal resume, when the error occurs, the job seeker can input an update editing and modifying instruction, manually modify the updated personal resume, and re-match positions for the job seeker according to the modified personal resume. It is worth mentioning that the embodiment of the invention can also match without looking at the intention post of the job seeker, and specifically, the job seeker is required to input an unintended purpose post matching instruction, and then post matching is performed again according to the personal resume, so that the intention post filled by the user can be removed during matching, and the situation that the job seeker misses a proper post because the name of the position is unfamiliar or not heard is avoided.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of analyzing post browsing data to determine first intention information and first rejection information of a job seeker specifically includes:
s101, classifying post browsing data according to browsing time and browsing times to obtain intention browsing data and exclusion browsing data, wherein each post browsing data comprises browsing time, browsing times and post information;
s102, extracting the same characteristics of all post information in the intention browsing data, and determining first intention information of the job seeker based on the same characteristics;
and S103, extracting the same characteristics of all post information in the rejection browsing data, and determining the first rejection information of the job seeker based on the same characteristics.
In the embodiment of the invention, in order to determine the first intention information and the first rejection information, post browsing data are classified according to browsing time and browsing times, when the browsing time reaches a set time value or the browsing times reach a set time value, the corresponding post browsing data are the intention browsing data, otherwise, the post browsing data are the rejection browsing data. And then extracting the same characteristics of all the post information in the intention browsing data, wherein the same characteristics are appreciated by the user, determining the first intention information of the job seeker based on the same characteristics, and then extracting the same characteristics of all the post information in the rejection browsing data, wherein the same characteristics are rejected by the user, and determining the first rejection information of the job seeker based on the same characteristics.
As shown in fig. 3, as a preferred embodiment of the present invention, the step of extracting the same features of all post information in the intention browsing data and determining the first intention information of the job seeker based on the same features specifically includes:
s1021, extracting each descriptive feature statement of post information in all intention browsing data;
s1022, judging that the description characteristic statement has a ratio in all intention browsing data, and determining that the description characteristic statement is the same characteristic when the ratio is larger than a set ratio value;
s1023, integrating all the same features to determine the first intention information of the job seeker.
In the embodiment of the invention, when the first intention information is determined, each piece of descriptive feature statement of post information in all intention browsing data needs to be extracted, the descriptive feature statement is each recruitment requirement, post requirement and post description, then the occurrence ratio of the descriptive feature statement in all intention browsing data is judged, the occurrence times of each descriptive feature statement in all intention browsing data are sequentially determined based on an NLP technology, the occurrence ratio of each descriptive feature statement can be obtained, when the occurrence ratio is larger than a set proportion value, the corresponding descriptive feature statement is determined to be the same feature, finally all the same features are integrated, and the first intention information of a job seeker is determined. It is easy to understand that the first exclusion information is also obtained using the scheme described above.
As shown in fig. 4, as a preferred embodiment of the present invention, the step of analyzing post exchange information to determine second intention information and second rejection information of the job seeker specifically includes:
s201, classifying post communication information according to a communication result to obtain intention communication information and rejection communication information, wherein the communication result is marked by a job seeker, and the communication result is feasible or not;
s202, extracting high-frequency exchange words in all intention exchange information, and determining second intention information of a job seeker based on the high-frequency exchange words;
and S203, extracting high-frequency exchange words in all the rejection exchange information, and determining second rejection information of the job seeker based on the high-frequency exchange words.
In the embodiment of the invention, in order to determine the second intention information and the second rejection information, post communication information is classified according to the communication result, the communication result is the intention communication information which corresponds to the feasible communication result, the communication result is the rejection communication information which does not correspond to the feasible communication result, and the job seeker needs to mark the communication result after each communication exchange. Then extracting high-frequency exchange words in all intention exchange information, wherein the high-frequency exchange words are interested by job seekers, and determining second intention information of the job seekers based on the high-frequency exchange words; and then extracting high-frequency exchange words in all the rejection exchange information, which are not interested by the job seeker, and determining second rejection information of the job seeker based on the high-frequency exchange words.
As shown in fig. 5, as a preferred embodiment of the present invention, the step of extracting the high-frequency ac vocabulary in all the intention ac information specifically includes:
s2021, extracting and integrating all intention communication information into an intention communication language record;
s2022, extracting all the words in the intent exchange language records, and arranging all the words in a descending order according to the occurrence frequency;
s2023, determining that the vocabulary arranged in the first N bits is a high-frequency alternating current vocabulary, wherein N is a positive integer.
In the embodiment of the invention, when the second intention information is determined, the statement extraction of the job seeker is required to be carried out on all the intention communication information, only the information sent by the job seeker is reserved and integrated to obtain the intention communication language record, then all the vocabularies in the intention communication language record are extracted, all the vocabularies are arranged in descending order according to the occurrence frequency of each vocabulary, thus the high-frequency communication vocabulary can be obtained, and finally the integration of all the high-frequency communication vocabularies is carried out to determine the second intention information of the job seeker, so that the second rejection information is easy to understand and is also obtained by adopting the scheme.
As shown in fig. 6, the embodiment of the present invention further provides a post matching system, where the system includes:
the first intention rejection module 100 is used for retrieving post browsing data of the job seeker, and analyzing the post browsing data to determine first intention information and first rejection information of the job seeker;
the second intention rejection module 200 is configured to invoke post communication information of the job seeker, analyze the post communication information, and determine second intention information and second rejection information of the job seeker;
the resume updating and perfecting module 300 is used for automatically updating and perfecting the personal resume of the job seeker according to the first intention information, the second intention information, the first rejection information and the second rejection information;
the resume editing and modifying module 400 is configured to receive an update editing and modifying instruction, modify the updated personal resume, and re-match positions for the job seeker according to the modified personal resume;
the disregard post matching module 500 is configured to receive an disregard target post matching instruction, and perform post matching again according to the personal resume, and disregard the target post of the job seeker during matching.
As a preferred embodiment of the present invention, the first intent-to-reject module 100 includes:
the post data classification unit is used for classifying post browsing data according to browsing time and browsing times to obtain intention browsing data and exclude browsing data, wherein each post browsing data comprises browsing time, browsing times and post information;
the first intention information unit is used for extracting the same characteristics of all post information in the intention browsing data and determining the first intention information of the job seeker based on the same characteristics;
and the first rejection information unit is used for extracting the same characteristics of all post information in the rejection browsing data and determining the first rejection information of the job seeker based on the same characteristics.
As a preferred embodiment of the present invention, the first intention information element includes:
the characteristic statement extraction subunit is used for extracting each piece of descriptive characteristic statement of post information in all intention browsing data;
the occurrence ratio subunit is used for judging the occurrence ratio of the descriptive feature statement in all intention browsing data, and determining that the descriptive feature statement is the same feature when the occurrence ratio is larger than a set ratio value;
and the intention information subunit is used for integrating all the same characteristics and determining the first intention information of the job seeker.
As a preferred embodiment of the present invention, the second intent-to-reject module 200 includes:
the communication information classification unit is used for classifying post communication information according to communication results to obtain intention communication information and rejection communication information, the communication results are marked by job seekers, and the communication results are feasible or not;
the second intention information unit is used for extracting high-frequency exchange words in all intention exchange information and determining second intention information of the job seeker based on the high-frequency exchange words;
and the second rejection information unit is used for extracting high-frequency exchange words in all the rejection exchange information and determining second rejection information of the job seeker based on the high-frequency exchange words.
The foregoing description of the preferred embodiments of the present invention should not be taken as limiting the invention, but rather should be understood to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A method for matching posts, the method comprising the steps of:
retrieving post browsing data of the job seeker, and analyzing the post browsing data to determine first intention information and first rejection information of the job seeker;
the post communication information of the job seeker is called, and is analyzed to determine second intention information and second rejection information of the job seeker;
automatically updating and perfecting the personal resume of the job seeker according to the first intention information, the second intention information, the first rejection information and the second rejection information;
receiving an update editing modification instruction, modifying the updated personal resume, and re-matching positions for the job seeker according to the modified personal resume;
and receiving an unconscious position matching instruction, and carrying out position matching again according to the personal resume, wherein the unconscious position of the job seeker is unconscious during matching.
2. The post matching method according to claim 1, wherein the step of analyzing post browsing data to determine first intention information and first rejection information of the job seeker specifically comprises:
classifying post browsing data according to browsing time and browsing times to obtain intention browsing data and exclude browsing data, wherein each post browsing data comprises browsing time, browsing times and post information;
extracting the same characteristics of all post information in the intention browsing data, and determining first intention information of the job seeker based on the same characteristics;
and extracting the same characteristics of all post information in the rejection browsing data, and determining the first rejection information of the job seeker based on the same characteristics.
3. The post matching method according to claim 2, wherein the step of extracting the same features of all post information in the intention browsing data and determining the first intention information of the job seeker based on the same features specifically comprises:
extracting each descriptive characteristic statement of post information in all intention browsing data;
judging that the description characteristic statement has a ratio in all intention browsing data, and determining that the description characteristic statement is the same characteristic when the ratio is larger than a set ratio value;
and integrating all the same features to determine the first intention information of the job seeker.
4. The post matching method according to claim 1, wherein the step of analyzing post communication information to determine second intention information and second rejection information of the job seeker specifically comprises:
classifying post communication information according to a communication result to obtain intention communication information and rejection communication information, wherein the communication result is marked by job seekers, and the communication result is feasible or not;
extracting high-frequency exchange words in all intention exchange information, and determining second intention information of the job seeker based on the high-frequency exchange words;
and extracting high-frequency exchange words in all the rejection exchange information, and determining second rejection information of the job seeker based on the high-frequency exchange words.
5. The post matching method according to claim 4, wherein the step of extracting high-frequency communication vocabulary in all intention communication information comprises the steps of:
extracting and integrating all intention communication information into an intention communication language record;
extracting all the words in the intent communication language records, and arranging all the words in a descending order according to the occurrence frequency;
the vocabulary arranged in the first N bits is determined to be high-frequency alternating current vocabulary, wherein N is a positive integer.
6. The post matching method according to claim 1, wherein when the post is matched, the matching result is positively added when the intention information is matched with the information in the recruitment post; and when the rejection information is matched with the information in the recruitment post, negatively deducting the matching result.
7. A post matching system, the system comprising:
the first intention rejection module is used for retrieving post browsing data of the job seeker, analyzing the post browsing data and determining first intention information and first rejection information of the job seeker;
the second intention rejection module is used for retrieving post communication information of the job seeker, analyzing the post communication information and determining second intention information and second rejection information of the job seeker;
the resume updating and perfecting module is used for automatically updating and perfecting the personal resume of the job seeker according to the first intention information, the second intention information, the first rejection information and the second rejection information;
the resume editing and modifying module is used for receiving an update editing and modifying instruction, modifying the updated personal resume and re-matching the job seeker with positions according to the modified personal resume;
and the unconscious post matching module is used for receiving an unconscious target post matching instruction, and carrying out post matching again according to the personal resume, and unconscious target posts of staff are avoided during matching.
8. The post matching system as defined in claim 7, wherein the first intent exclusion module comprises:
the post data classification unit is used for classifying post browsing data according to browsing time and browsing times to obtain intention browsing data and exclude browsing data, wherein each post browsing data comprises browsing time, browsing times and post information;
the first intention information unit is used for extracting the same characteristics of all post information in the intention browsing data and determining the first intention information of the job seeker based on the same characteristics;
and the first rejection information unit is used for extracting the same characteristics of all post information in the rejection browsing data and determining the first rejection information of the job seeker based on the same characteristics.
9. The post matching system of claim 8, wherein the first intent information element comprises:
the characteristic statement extraction subunit is used for extracting each piece of descriptive characteristic statement of post information in all intention browsing data;
the occurrence ratio subunit is used for judging the occurrence ratio of the descriptive feature statement in all intention browsing data, and determining that the descriptive feature statement is the same feature when the occurrence ratio is larger than a set ratio value;
and the intention information subunit is used for integrating all the same characteristics and determining the first intention information of the job seeker.
10. The post matching system as defined in claim 7, wherein the second intent-to-reject module comprises:
the communication information classification unit is used for classifying post communication information according to communication results to obtain intention communication information and rejection communication information, the communication results are marked by job seekers, and the communication results are feasible or not;
the second intention information unit is used for extracting high-frequency exchange words in all intention exchange information and determining second intention information of the job seeker based on the high-frequency exchange words;
and the second rejection information unit is used for extracting high-frequency exchange words in all the rejection exchange information and determining second rejection information of the job seeker based on the high-frequency exchange words.
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