CN109885647A - User's career verification method, apparatus, electronic equipment and storage medium - Google Patents
User's career verification method, apparatus, electronic equipment and storage medium Download PDFInfo
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- CN109885647A CN109885647A CN201811628088.6A CN201811628088A CN109885647A CN 109885647 A CN109885647 A CN 109885647A CN 201811628088 A CN201811628088 A CN 201811628088A CN 109885647 A CN109885647 A CN 109885647A
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Abstract
The embodiment of the present disclosure discloses a kind of user's career verification method, apparatus, electronic equipment and storage medium.Wherein, this method comprises: obtaining the relevant information of target user；Wherein, the relevant information includes at least identity information and resume information；The resume information includes at least one first associative combination of the target user, and first associative combination includes associated first time section, the first mechanism and the first performance information；The scientific research public data of the target user is obtained according to the relevant information；The resume of the target user are verified according to the scientific research public data and the relevant information.
Description
Technical field
This disclosure relates to computer field, and in particular to a kind of user's career verification method, apparatus, electronic equipment and storage
Medium.
Background technique
In human resources field, background check is an important link, generally by artificial mode to candidate into
Row professional background situation is investigated, such as the information such as occupational qualification, educational background and/or academic background, technical ability experience.However, passing
The method of system not only takes time and effort, and wastes a large amount of resource, and it is possible to cause investigation to be tied there are acquisition of information inaccuracy
The situation of fruit inaccuracy.With the rise of internet and big data, the breakthrough of especially recent artificial intelligence technology, so that being based on
The professional background investigation of internet is possibly realized.By big data and artificial intelligence technology, professional background investigates platform can be from
Different channels is obtained about personal public information, handles these public informations by integration and in the feelings of target user's authorization
Under condition, professional background investigation platform can quickly provide the professional background information of a candidate automatically.In some cases, it waits
Most important feature of choosing is that its is professional, such as university research person, Corporation R & D engineer etc..At this point, in addition to general
Information becomes particularly important to the professional skill investigation of candidate.
However, inventor has found during realizing embodiment of the present disclosure related art scheme, in the related technology at least
It has the following problems: since professional skill involves specific domain knowledge, so that non-those skilled in the art become different when investigating
It is often difficult.
Summary of the invention
For above-mentioned technical problem in the prior art, the embodiment of the present disclosure propose a kind of user's career verification method,
Device, electronic equipment and computer readable storage medium, to solve to involve specific domain knowledge due to professional skill, so that non-
Become abnormal difficult problem when those skilled in the art investigate.
The first aspect of the embodiment of the present disclosure provides a kind of user's career verification method, comprising:
Obtain the relevant information of target user；Wherein, the relevant information includes at least identity information and resume information；
The resume information includes at least one first associative combination of the target user, and first associative combination includes associated
First time section, the first mechanism and the first performance information；
The scientific research public data of the target user is obtained according to the relevant information；
The resume of the target user are verified according to the scientific research public data and the relevant information.
In some embodiments, verify the target user's according to the scientific research public data and the relevant information
Resume, comprising:
The scientific research public data is parsed, and determines at least one second associated group that the scientific research public data is related to
It closes；Second associative combination includes associated second mechanism, the second time interval and the second performance information；
The resume of the target user are verified according to first associative combination and the second associative combination.
In some embodiments, the shoe of the target user is verified according to first associative combination and the second associative combination
It goes through, includes at least:
According to first mechanism, whether consistent with the second mechanism, described second time interval is in the first time
The first associative combination and the second associative combination are matched in section；
For first associative combination to match and the second associative combination, according to first performance information and second
The similarity of performance information verifies the resume of the target user.
In some embodiments, the target is verified according to the similarity of first performance information and the second performance information
The resume of user, comprising:
It is determined between first performance information and the second performance information according to preparatory trained artificial intelligence model
Similarity；
When the similarity is greater than or equal to preset threshold, determine that the resume of the target user are true.
In some embodiments, second performance information includes at least: technical field, technical problem and/or technology hand
Section.
In some embodiments, the scientific research public data includes patent documentation data；And/or
The resume information further includes the patent document mark that the target user applied.
In some embodiments, the scientific research public data is parsed, comprising:
Parse at least one of title, abstract, claims and the specification in the patent documentation data.
The second aspect of the embodiment of the present disclosure provides a kind of user's career verification device, comprising:
First obtains module, for obtaining the relevant information of target user；Wherein, the relevant information includes at least identity
Information and resume information；The resume information includes at least one first associative combination of the target user, and described first
Associative combination includes associated first time section, the first mechanism and the first performance information；
Second obtains module, for obtaining the scientific research public data of the target user according to the relevant information；
Authentication module, for verifying the shoe of the target user according to the scientific research public data and the relevant information
It goes through.
In some embodiments, the authentication module includes:
First determines submodule, for parsing the scientific research public data, and determines what the scientific research public data was related to
At least one second associative combination；Second associative combination includes associated second mechanism, the second time interval and second
Performance information；
First verifying submodule, for verifying the target user according to first associative combination and the second associative combination
Resume.
In some embodiments, the first verifying submodule includes:
Matched sub-block is for the second time interval whether consistent with the second mechanism, described according to first mechanism
It is no to match the first associative combination and the second associative combination in the first time section；
Second verifying submodule, for being directed to first associative combination and the second associative combination that match, according to institute
The similarity for stating the first performance information and the second performance information verifies the resume of the target user.
In some embodiments, the second verifying submodule includes:
Second determines submodule, for according to preparatory trained artificial intelligence model determine first performance information and
Similarity between second performance information；
Third determines submodule, for determining the target user when the similarity is greater than or equal to preset threshold
Resume it is true.
In some embodiments, second performance information includes at least: technical field, technical problem and/or technology hand
Section.
In some embodiments, the scientific research public data includes patent documentation data；And/or
The resume information further includes the patent document mark that the target user applied.
In some embodiments, described first submodule is determined, comprising:
Analyzing sub-module, for parsing in title, abstract, claims and specification in the patent documentation data
At least one.
The third aspect of the embodiment of the present disclosure provides a kind of electronic equipment, comprising:
Memory and one or more processors；
Wherein, the memory is connect with one or more of processor communications, and being stored in the memory can quilt
The instruction that one or more of processors execute, when described instruction is executed by one or more of processors, the electronics
Equipment is for realizing the method as described in foregoing embodiments.
The fourth aspect of the embodiment of the present disclosure provides a kind of computer readable storage medium, and being stored thereon with computer can
It executes instruction, when the computer executable instructions are executed by a computing apparatus, can be used to realize as described in foregoing embodiments
Method.
5th aspect of the embodiment of the present disclosure provides a kind of computer program product, and the computer program product includes
The computer program being stored on computer readable storage medium, the computer program include program instruction, work as described program
When instruction is computer-executed, it can be used to realize the method as described in foregoing embodiments.
The embodiment of the present disclosure, by the relevant information for obtaining target user, wherein the relevant information includes at least identity
Information and resume information；The resume information includes at least one first associative combination of the target user, and described first
Associative combination includes associated first time section, the first mechanism and the first performance information；It is obtained again by the relevant information
The scientific research public data of the target user is taken, finally according to the scientific research public data and relevant information verifying
The resume of target user.It is disclosed by the scientific research that the above-mentioned technical proposal of the embodiment of the present disclosure can automatically obtain target user
Data and it is able to verify that whether target user really has its performance information claimed, the personnel verified are without having
Relevant professional knowledge can quickly and accurately verify the authenticity of the resume information of target object.
Detailed description of the invention
The feature and advantage of the disclosure can be more clearly understood by reference to attached drawing, attached drawing is schematically without that should manage
Solution is carries out any restrictions to the disclosure, in the accompanying drawings:
Fig. 1 is the flow diagram of user's career verification method according to shown in some embodiments of the present disclosure；
Fig. 2 is the flow diagram of the step S102 of embodiment according to Fig. 1；
Fig. 3 is the flow diagram of the step S202 of embodiment according to Fig.2,；
Fig. 4 is the technical ability-time slice schematic diagram generated according to an embodiment of the disclosure by machine learning；
Fig. 5 exemplifies the schematic diagram of the verification result in different time segment according to an implementation of the disclosure；
Fig. 6 is the flow diagram of the step S302 of embodiment according to Fig.3,；
Fig. 7 is user's career verification schematic device according to shown in some embodiments of the present disclosure.
Fig. 8 is adapted for the structure for realizing the electronic equipment of user's career verification method according to disclosure embodiment
Schematic diagram.
Specific embodiment
In the following detailed description, many details of the disclosure are elaborated by example, in order to provide to correlation
The thorough understanding of disclosure.However, for those of ordinary skill in the art, the disclosure can obviously not have this
Implement in the case where a little details.It should be understood that using " system ", " device ", " unit " and/or " module " art in the disclosure
Language is for distinguishing in the sequence arrangement different components of different stage, element, part or a kind of method of component.However, such as
Identical purpose may be implemented in other expression formulas of fruit, these terms can be replaced by other expression formulas.
It should be understood that when equipment, unit or module be referred to as " ... on ", " being connected to " or " being coupled to " it is another
When equipment, unit or module, can directly in another equipment, unit or module, be connected or coupled to or with other equipment,
Unit or module communication, or may exist intermediate equipment, unit or module, unless context clearly prompts exceptional situation.Example
Such as, term "and/or" used in the disclosure includes any one and all combinations of entry listed by one or more correlations.
Term used in the disclosure limits disclosure range only for describing specific embodiment.Such as present disclosure specification
With shown in claims, unless context clearly prompts exceptional situation, " one ", "one", the words such as "an" and/or "the"
Odd number is not refered in particular to, may also comprise plural number.It is, in general, that term " includes " and "comprising" only prompt to include the spy clearly identified
Sign, entirety, step, operation, element and/or component, and such statement do not constitute one it is exclusive enumerate, other features,
Including entirety, step, operation, element and/or component also may include.
Referring to the following description and the annexed drawings, these or other feature and feature, operating method, the phase of structure of the disclosure
Function, the combination of part and the economy of manufacture for closing element can be better understood, and wherein description and accompanying drawings form
Part of specification.It is to be expressly understood, however, that attached drawing is used only as the purpose of illustration and description, it is not intended to limit this
Disclosed protection scope.It is understood that attached drawing is not necessarily drawn to scale.
Various structures figure has been used to be used to illustrate various modifications according to an embodiment of the present disclosure in the disclosure.It should be understood that
, before or following structure be not for limiting the disclosure.The protection scope of the disclosure is subject to claim.
Fig. 1 is user's career verification method schematic diagram according to shown in some embodiments of the present disclosure, as shown in Figure 1, institute
State user's career verification method the following steps are included:
S101 obtains the relevant information of target user；Wherein, the relevant information includes at least identity information and resume
Information；The resume information includes at least one first associative combination of the target user, and first associative combination includes
Associated first time section, the first mechanism and the first performance information.
Specifically, user's career verification method that the embodiment of the present disclosure proposes may be implemented in a background check platform
On, which can be to run on server for providing the software system of investigation and the verifying of resume background
System.For example, investigator is initiated investigation to background check platform by network and is asked by terminal device, such as PC, smart phone
It asks, background check platform sends relevant back after obtaining the authorization message of respondent namely target user, to investigator
Scape survey information.
Human resources investigator is by terminal device, such as PC, smart phone etc., by network to background check platform
Investigation request is initiated, background check platform sends target user after the authorization message for obtaining target user, to investigator
Relevant information.The relevant information of target user can be target user's offer, be also possible to through other modes in network
It obtains.Target user can be any user, such as job applicant.The relevant information of target user can include but is not limited to
The resume of target user.Relevant information includes at least identity information and resume information, and identity information can include but is not limited to
The contact methods such as name, age, identity card, the cell-phone number of target user；Resume information include but is not limited to target user with
Learning experiences, professional history in time interval etc..First time section can be with year, moon etc. for dimension, and the first mechanism can
Tenure company, unit, department etc. during to be target user school involved in learning skill process, working.First skill
Can information include but is not limited to target user learned during school work major, supplementally take profession, learn by oneself profession etc., also wrap
Include industry, job specification, the professional knowledge being related to etc. being engaged in during working.
When the relevant information of target user is the resume of target user, which can be a kind of letter of structuring
Breath, is also possible to general text information, illustrates by way of example below, available from working experience and education background
First associative combination.
For example, the resume information that background check platform obtains is as follows:
Name: Zhang San
Work experience
2011-2013: Baidu, software engineer
During work, it is mainly responsible for the database development and maintenance work of Online Map.
2013-2015: Alibaba, artificial intelligence architect
During work, the design and development of the distributed memory system of Alibaba's artificial intelligence system is participated in.
Education background:
2008-2011: Peking University, computer master
During postgraduate, the algorithm development of intelligent semantic analysis is taken part in, deep neural network, Hofman tree etc. have been used
Method.
By parsing working experience and education background in above-mentioned example, available three first passes of background check platform
Connection combination, is respectively as follows: (1) 2008-2011, Peking University: semantic analysis, deep neural network, Hofman tree；(2)2011-
2013, Baidu: Online Map, database development；(3) 2013-2015, Alibaba: distributed storage, artificial intelligence.
S102 obtains the scientific research public data of the target user according to the relevant information.
Specifically, target user can generate scientific research public data in previous work, and scientific research public data includes but not
It is limited to the article delivered, paper, patent document, science and technology news or internet (forum, blog, SNS, question answering system etc.) etc..Root
According to the relevant information of target user, such as name and/or identification card number etc., the scientific research public data of target user is obtained, these
It include professional knowledge and timing node information in scientific research public data.For example, scientific research public data is the phase that target user delivers
It publishes the article chapter, professional knowledge is the professional knowledge that the journal of writings is related to, and timing node information includes the journal of writings when delivering
Between.For another example scientific research public data is patent document, professional knowledge is that technology involved in the inventive point of the patent document is known
Know, timing node information includes the application time etc. of patent document.
In some embodiments, background check platform includes at least a patent information database, the patent information data
Library can be the database being locally stored or can be by the database of remote access, by special on access background check platform
The scientific research public data of the sharp available target user of information database, i.e. patent documentation data.It can also be existing by accessing
Patent database both domestic and external obtain patent documentation data, such as China State Intellectual Property Office searching platform, PCT international specially
The patent database of the offers such as benefit retrieval website.
In further embodiments, background check platform can obtain mesh by access Wanfang Database and middle National IP Network etc.
The paper data for marking user obtain the science and technology news or internet of target user by search engines such as access Baidu, Google
Data disclosed in (forum, blog, SNS, question answering system etc.) etc..
S103 verifies the resume of the target user according to the scientific research public data and the relevant information.
Specifically, the verifying of resume information includes but is not limited to verify target user in a time interval and duty station
The authenticity of work taken up.For example, duty station and scientific research of the verifying target user in section at the same time disclose number
Whether the mechanism involved in is consistent, if unanimously, can determine that this resume information of target user is true；Or it can test
It is whether similar to professional knowledge involved in scientific research public data to demonstrate,prove workmanship of the target user in a time interval, if
The two fully belongs to that different technical field or similarity are lower, then can determine that this resume information of target user is not true
It is real；Or duty station of the target user in a time interval can be verified, whether workmanship with scientific research discloses number
It is all consistent according to the mechanism, professional knowledge that are related to, it, can be true with this resume information of target user if all consistent.
The embodiment of the present disclosure, by the relevant information for obtaining target user, wherein the relevant information includes at least identity
Information and resume information；The resume information includes at least one first associative combination of the target user, and described first
Associative combination includes associated first time section, the first mechanism and the first performance information；It is obtained again by the relevant information
The scientific research public data of the target user is taken, finally according to the scientific research public data and relevant information verifying
The resume of target user.It is disclosed by the scientific research that the above-mentioned technical proposal of the embodiment of the present disclosure can automatically obtain target user
Data and it is able to verify that whether target user really has its performance information claimed, the personnel verified are without having
Relevant professional knowledge can quickly and accurately verify the authenticity of the resume information of target object.
In some alternative embodiments, as shown in Fig. 2, step S103 is i.e. according to the scientific research public data and described
Relevant information verifies the resume of the target user, comprising:
S201 parses the scientific research public data, and determines at least one second pass that the scientific research public data is related to
Connection combination；Second associative combination includes associated second mechanism, the second time interval and the second performance information；
S202 verifies the resume of the target user according to first associative combination and the second associative combination.
In some embodiments, scientific research public data is the knot such as journal of writings, paper, patent document that target user delivers
When structure data, the second associative combination can be parsed from structural data by modes such as canonical matchings.For example, patent is literary
The structured message offered includes applicant, the applying date, abstract, claims and specification etc., the structure of journal of writings, paper
Changing information includes autograph, author, abstract, keyword, communication units and bibliography etc.；Wherein, the second associative combination includes phase
Associated second mechanism, the second time interval and the second performance information.Each single item and the first associated group in second associative combination
Each single item in conjunction is corresponding.Second mechanism can be the scientific research institution that scientific research public data is related to, such as paper and/or article
School, duty station when delivering where target user etc., the application robot mechanism of patent document.Second time interval includes but not
Be limited to article, paper etc. delivers the time interval that the time is related to, the time interval that the applying date of patent document is related to.
In further embodiments, scientific research public data is science and technology news or internet (forum, blog, SNS, question and answer system
System etc.) etc. unstructured data types when, can first obtain key message, then to key message structural processing, finally
Parse and determine the data such as science and technology news or internet (forum, blog, SNS, question answering system etc.) are related at least one second
Associative combination.
At least one second pass of parsing and determining patent document will be illustrated by taking patent documentation data as an example below
Join one of implementation of combination, it is assumed that patent database is accessed by name Zhang San, obtains the patent document number of Zhang San
According to:
CN2011xxx, a kind of Peking University: audio recognition method
CN2012xxx, a kind of Baidu: automatic map data updating method
CN2013xxx, Baidu: a method of being quickly obtained geographic information data
CN2015xxx, a kind of Alibaba: neural network training method
Herein, although patent documentation data generally possesses the data for description technique direction of structuring, such as IPC,
CPC classification number, however these classification numbers are generally more wide in range is unable to get more accurately performance information.Therefore structure is used
The method for changing technique classification field will be unable to complete precisely to match with resume.In some embodiments, preparatory training can be used
Good artificial intelligence model such as neural network model carries out the title of patent document, abstract, claim and specification etc.
Parsing, for extracting the technical characteristic word of patent.The neural network module can be completed to train by the training data of mark,
To extract more accurately technical characteristic word.For example, the available patent document is in this time of the applying date after parsing
Second associative combination of the performance information on point, the i.e. patent documentation data can indicate are as follows:
2011, Peking University: speech recognition, word2vector, NLP, waveforms detection, database
2012, Baidu: map datum, GIS, data acquisition, data update, are distributed
2013, Baidu: human-computer interaction, GIS, GIS-Geographic Information System calibrate for error
2015, Alibaba: neural network, CNN, RNN, training, convergence, parallel computation
Further, in some embodiments, the second associative combination and resume solution above patent document data extracted
First associative combination of analysis carries out cross validation, the verification information of available resume.
In some alternative embodiments, as shown in figure 3, step S202 is closed according to first associative combination and second
Join the resume of target user described in combined authentication, comprising:
S301, according to first mechanism, whether consistent with the second mechanism, described second time interval is described
The first associative combination of matching and the second associative combination in one time interval；
S302, for first associative combination to match and the second associative combination, according to first performance information
The resume of the target user are verified with the similarity of the second performance information.
In the present embodiment, whether consistent with the second mechanism according to the first mechanism, the second time interval is described
The first associative combination of matching and the second associative combination in one time interval.Assuming that the first mechanism is consistent with the second mechanism, below will
It is illustrated by taking patent documentation data type as an example, the first associative combination and the second associated group is matched in first time section
It closes, due to the second time interval in the second associative combination, i.e. the patent application time is the specific date, it is therefore desirable to the time
Point carries out a filtering, obtains a time interval, which can take into account the continuity of research and development, can be by one one
As property the research and development time cycle and above-mentioned time point carry out convolution, obtain the time cycle of multiple technical characteristics.For example, generating one
A patented technology means the R&D cycle including at least 1 year, therefore data point and 1 year period progress convolution, can obtain
To the different technical ability periods:
Computer: 2011-2015
Semantic analysis: 2011-2012
Speech recognition: 2011-2012
GIS:2012-2013
Neural network: 2015-2016
A time point is directly expanded into a period since the mode of filtering is equal to, and the research and development of target user
There is the degree of association of inherent technology in the continuity of experience.For example, the research topic of a target user is mobile from 3G in 10 years
It is a normal process that Natural circulation~+, which is communicated, to 4G mobile communication, and switches to artificial intelligence by a biological study on the contrary
Research then means the primary biggish chage of occupation occur.Accordingly it is also possible to which the method using machine learning is based on patent document
Data generate technical ability-time slice in the second related information.For example, obtain a large amount of applicant mark first, and by with
Upper method obtains the technical ability Feature Words at specific time point, further by artificial mode label time segment, optionally can be
Time slice carries out technical ability mark, such as is labeled by the technical field manually to this section of technical ability.Largely trained
After data, one machine learning model of training obtains a technical ability-time slice segmentation and disaggregated model.In turn, one is being obtained
After the patent data of a target user, the model is inputted, model will provide the division of technical ability-time slice and mark automatically.
Fig. 4 is the technical ability-time slice schematic diagram generated according to an embodiment of the disclosure by machine learning,
As shown in figure 4, technical ability is from database technology evolution to distributed storage technology, and the two is due to being in technical ability-time slice 1
The evolution of database technology, therefore the two is synthesized a segment by model.Further, technical ability is from database evolution to artificial intelligence
It can field.In technical ability-time slice 2, technical ability is relevant to 4G from the relevant technology of 3G, such as CDMA, UMTS Natural circulation~+
Technology, such as OFDM will judge two sections of technical ability for wireless communication since model has absorbed the feature in training data
Technical ability.Further, biggish transformation has occurred in technical ability, switchs to gene sequencing and gene editing field, therefore technical ability segment goes out
Show apparent turnover, becomes biotechnology.
In the present embodiment, system first according to the first mechanism, second time interval whether consistent with the second mechanism whether
The first associative combination and the second associative combination are matched in the first time section, if the first associative combination associated first
The second time interval associated with the second associative combination, the second mechanism are consistent respectively for time interval, the first mechanism, i.e., first closes
When connection combination and the second associative combination match, tested according further to the similarity of the first performance information and the second performance information
Demonstrate,prove the resume of the target user.A kind of relatively simple verification result is the time slice according to resume, provides different time
Verification result in segment.Fig. 5 exemplifies the schematic diagram of the verification result in different time segment according to an implementation of the disclosure,
As shown in figure 5, wherein time slice is the historical information according to resume information cutting.
In some embodiments, the first associative combination of resume parsing includes the first associated group of scientific research public data parsing
It closes, can determine that resume are true at this time, such as:
History data:
2008-2011: semantic analysis
Scientific research public data parsing:
2010-2011: semantic analysis
In further embodiments, the first performance information in the first associative combination of resume parsing, discloses number with scientific research
It is not exactly the same according to the second performance information in the first associative combination of parsing, such as:
Resume:
2011-2013: Online Map
Scientific research public data:
2012-2013:GIS
At this point, Online Map and GIS are the technical ability features that cannot be exactly matched, the word between two words will be calculated away from letter
Breath, to obtain the similarity of the first performance information and the second performance information, further according to the first performance information and the second performance information
Similarity verify the resume of the target user.
In some alternative embodiments, as shown in fig. 6, step S302 is i.e. according to first performance information and the second skill
The similarity of energy information verifies the resume of the target user, comprising:
S601, according to preparatory trained artificial intelligence model determine first performance information and the second performance information it
Between similarity；
S602 determines that the resume of the target user are true when the similarity is greater than or equal to preset threshold.
In the present embodiment, it will be illustrated by taking patent documentation data type as an example below according to preparatory trained people
Work model of mind determines one of implementation of similarity between the first performance information and the second performance information.Due to patent
Technical ability Feature Words are generally non-day everyday words in document, and day everyday words can not also react the division of professional domain, therefore
The term vector of technical ability Feature Words is calculated by the patent in a large amount of fields.Specifically, by the patent document of related fields,
Such as a large amount of patent documents of computer field are input to preparatory trained artificial intelligence model, such as neural network mould
Type, and the technical ability word of patent document is extracted, and the term vector of numeracy skills word indicates.At this point, by calculate two technical ability words "
Term vector between line map " and " GIS ", the similarity between available first performance information and the second performance information,
It is exactly a matching degree value.At this point, although being not fully associated between two technical ability words, by existing in patent document
A large amount of technical description texts, higher word will be obtained away from also implying that higher by being under the jurisdiction of between the technical ability word of same area
Obtained will be with higher similar between the verifying of patent document, such as " GIS " and " Online Map " for resume information under probability
Degree, and similarity is then lower between " GIS " and " pesticide ".When similarity is greater than or equal to preset threshold, target user is determined
Resume in current first associative combination information be true.
After obtaining the similarity between all the first performance information and the second performance information, system can be to entire
Resume carry out comprehensive verification.When multiple first associative combinations that resume parse can obtain the verifying of patent parsing data,
The verifying score of available entire resume information.
In one case, the second performance information that patent data parses is sky, since R&D work not necessarily must one
Patent application is surely generated, then thinks that this section of resume information can not be verified at this time.
In some alternative embodiments, according to the resume of the first associative combination and the second associative combination verifying target user
When, when the first associative combination and the second associative combination matching degree is lower or the first performance information and the second performance information between
Similarity it is lower when, warning message can be generated.Such as:
Resume:
2011-2013: Online Map, Baidu
Scientific research public data:
2011-2012: unmanned plane, the big boundary science and technology in Shenzhen
The first mechanism in first associative combination is " Baidu ", and the second mechanism in the second associative combination is " the big boundary in Shenzhen
Science and technology ", the two is inconsistent, it can be assumed that the first associative combination and the second associative combination matching degree are lower；Meanwhile first associated group
The first performance information in conjunction is " Online Map ", and the second performance information in the second associative combination is " unmanned plane ", i.e., first
Similarity between performance information and the second performance information is lower, therefore will generate a warning information.
Again for example:
Resume:
2011-2013: Online Map, Baidu
Scientific research public data:
2011-2012: instant messaging, Baidu
At this point, although scientific research public data is able to verify that resume information in terms of time slice and organization information,
Line map and the instant messaging technical ability degree of correlation are lower, and system will also generate a warning information at this time.
In some alternative embodiments, second performance information includes at least: technical field, technical problem and/or
Technological means.
It in the present embodiment, at least can be by parsing involved by the patent documentation data when parsing patent documentation data
And technical field, technical problem and/or technological means determine the second performance information of target user.
In some alternative embodiments, the scientific research public data includes patent documentation data；And/or the resume
Information further includes the patent document mark that the target user applied.
It can also include the patent that target user applied in the optional implementation, in the resume information of target user
Document mark, such as number of patent application, publication number and/or publication date etc..When the resume information to target user is verified,
It can also be identified by the patent document and extract corresponding patent document from patent database, and obtain the Shen of the patent document
Please information, that is, applicant, inventor, the applying date etc., and carry out matching verifying with the name of target user in resume information etc..
In some alternative embodiments, the scientific research public data is parsed, comprising: parse in the patent documentation data
At least one of title, abstract, claims and specification.
It, can be by parsing title in patent documentation data, abstract, claims, saying in the optional implementation
The contents such as bright book obtain professional knowledge involved in patent documentation data, and then determine the second performance information of target user, with
For verifying the resume information of target user.
It is the specific embodiment for user's career verification method that the disclosure provides above.
Fig. 7 is user's career verification schematic device according to shown in some embodiments of the present disclosure.As shown in fig. 7, with
Family career verification device 700 includes that the first acquisition module 701, second obtains module 702 and authentication module 703, in which:
First obtains module 701, for obtaining the relevant information of target user；Wherein, the relevant information includes at least
Identity information and resume information；The resume information includes at least one first associative combination of the target user, described
First associative combination includes associated first time section, the first mechanism and the first performance information；
Second obtains module 702, for obtaining the scientific research public data of the target user according to the relevant information；
Authentication module 703, for verifying the target user according to the scientific research public data and the relevant information
Resume.
In some alternative embodiments, the authentication module 703 includes:
First determines submodule, for parsing the scientific research public data, and determines what the scientific research public data was related to
At least one second associative combination；Second associative combination includes associated second mechanism, the second time interval and second
Performance information；
First verifying submodule, for verifying the target user according to first associative combination and the second associative combination
Resume.
In some alternative embodiments, the first verifying submodule includes:
Matched sub-block is for the second time interval whether consistent with the second mechanism, described according to first mechanism
It is no to match the first associative combination and the second associative combination in the first time section；
Second verifying submodule, for being directed to first associative combination and the second associative combination that match, according to institute
The similarity for stating the first performance information and the second performance information verifies the resume of the target user.
In some alternative embodiments, the second verifying submodule includes:
Second determines submodule, for according to preparatory trained artificial intelligence model determine first performance information and
Similarity between second performance information；
Third determines submodule, for determining the target user when the similarity is greater than or equal to preset threshold
Resume it is true.
In some alternative embodiments, second performance information includes at least: technical field, technical problem and/or
Technological means.
In some alternative embodiments, the scientific research public data includes patent documentation data；And/or
The resume information further includes the patent document mark that the target user applied.
In some alternative embodiments, described first submodule is determined, comprising:
Analyzing sub-module, for parsing in title, abstract, claims and specification in the patent documentation data
At least one.
The user's career verification device proposed in above-described embodiment is corresponding with above-mentioned user's career verification method consistent, specifically
Details can be found in the above-mentioned description to user's career verification method, and details are not described herein.
Fig. 8 is adapted for the structure for realizing the electronic equipment of user's career verification method according to disclosure embodiment
Schematic diagram.
As shown in figure 8, electronic equipment 800 includes central processing unit (CPU) 801, it can be according to being stored in read-only deposit
Program in reservoir (ROM) 802 is held from the program that storage section 808 is loaded into random access storage device (RAM) 803
Various processing in the above-mentioned embodiment shown in FIG. 1 of row.In RAM808, be also stored with electronic equipment 800 operate it is required
Various programs and data.CPU801, ROM802 and RAM808 are connected with each other by bus 804.Input/output (I/O) interface
805 are also connected to bus 804.
I/O interface 805 is connected to lower component: the importation 806 including keyboard, mouse etc.；It is penetrated including such as cathode
The output par, c 807 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Storage section 808 including hard disk etc.；
And the communications portion 809 of the network interface card including LAN card, modem etc..Communications portion 809 via such as because
The network of spy's net executes communication process.Driver 810 is also connected to I/O interface 805 as needed.Detachable media 811, such as
Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 810, in order to read from thereon
Computer program be mounted into storage section 808 as needed.
Particularly, according to embodiment of the present disclosure, it is soft to may be implemented as computer above with reference to Fig. 1 method described
Part program.For example, embodiment of the present disclosure includes a kind of computer program product comprising be tangibly embodied in and its readable
Computer program on medium, the computer program include the program code for executing the method for Fig. 1.In such implementation
In mode, which can be downloaded and installed from network by communications portion 809, and/or from detachable media
811 are mounted.
Flow chart and block diagram in attached drawing illustrate system, method and computer according to the various embodiments of the disclosure
The architecture, function and operation in the cards of program product.In this regard, each box in course diagram or block diagram can be with
A part of a module, section or code is represented, a part of the module, section or code includes one or more
Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box
The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical
On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants
It is noted that the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, Ke Yiyong
The dedicated hardware based system of defined functions or operations is executed to realize, or can be referred to specialized hardware and computer
The combination of order is realized.
Being described in unit or module involved in disclosure embodiment can be realized by way of software, can also
It is realized in a manner of through hardware.Described unit or module also can be set in the processor, these units or module
Title do not constitute the restriction to the unit or module itself under certain conditions.
As on the other hand, the disclosure additionally provides a kind of computer readable storage medium, the computer-readable storage medium
Matter can be computer readable storage medium included in device described in above embodiment；It is also possible to individualism,
Without the computer readable storage medium in supplying equipment.Computer-readable recording medium storage has one or more than one journey
Sequence, described program is used to execute by one or more than one processor is described in disclosed method.
In conclusion the present disclosure proposes a kind of user's career verification method, apparatus, electronic equipment and its computer-readable
Storage medium.The embodiment of the present disclosure can automatically obtain through the above technical solution the scientific research public data of target user and
It is able to verify that whether target user really has its performance information claimed, the personnel verified are relevant special without having
Industry knowledge can quickly and accurately verify the authenticity of the resume information of target object.
It should be understood that the above-mentioned specific embodiment of the disclosure is used only for exemplary illustration or explains the disclosure
Principle, without constituting the limitation to the disclosure.Therefore, that is done without departing from spirit and scope of the present disclosure is any
Modification, equivalent replacement, improvement etc., should be included within the protection scope of the disclosure.In addition, disclosure appended claims purport
Covering the whole variations fallen into attached claim scope and boundary or this range and the equivalent form on boundary and is repairing
Change example.
Claims (16)
1. a kind of user's career verification method characterized by comprising
Obtain the relevant information of target user；Wherein, the relevant information includes at least identity information and resume information；It is described
Resume information includes at least one first associative combination of the target user, and first associative combination includes associated
One time interval, the first mechanism and the first performance information；
The scientific research public data of the target user is obtained according to the relevant information；
The resume of the target user are verified according to the scientific research public data and the relevant information.
2. user's career verification method according to claim 1, which is characterized in that according to the scientific research public data and
The relevant information verifies the resume of the target user, comprising:
The scientific research public data is parsed, and determines at least one second associative combination that the scientific research public data is related to；Institute
Stating the second associative combination includes associated second mechanism, the second time interval and the second performance information；
The resume of the target user are verified according to first associative combination and the second associative combination.
3. user's career verification method according to claim 2, which is characterized in that according to first associative combination and
Two associative combinations verify the resume of the target user, include at least:
According to first mechanism, whether consistent with the second mechanism, described second time interval is in the first time section
The first associative combination of interior matching and the second associative combination；
For first associative combination to match and the second associative combination, according to first performance information and the second technical ability
The similarity of information verifies the resume of the target user.
4. user's career verification method according to claim 3, which is characterized in that according to first performance information and
The similarity of two performance informations verifies the resume of the target user, comprising:
It is determined according to preparatory trained artificial intelligence model similar between first performance information and the second performance information
Degree；
When the similarity is greater than or equal to preset threshold, determine that the resume of the target user are true.
5. according to the described in any item user's career verification methods of claim 3-4, which is characterized in that second performance information
It includes at least: technical field, technical problem and/or technological means.
6. according to the described in any item user's career verification methods of claim 3-4, which is characterized in that the scientific research public data
Including patent documentation data；And/or
The resume information further includes the patent document mark that the target user applied.
7. user's career verification method according to claim 6, which is characterized in that parse the scientific research public data, wrap
It includes:
Parse at least one of title, abstract, claims and the specification in the patent documentation data.
8. a kind of device of user's career verification characterized by comprising
First obtains module, for obtaining the relevant information of target user；Wherein, the relevant information includes at least identity information
And resume information；The resume information includes at least one first associative combination of the target user, first association
Combination includes associated first time section, the first mechanism and the first performance information；
Second obtains module, for obtaining the scientific research public data of the target user according to the relevant information；
Authentication module, for verifying the resume of the target user according to the scientific research public data and the relevant information.
9. user's career verification device according to claim 8, the authentication module include:
First determines submodule, for parsing the scientific research public data, and determines that the scientific research public data is related at least
One the second associative combination；Second associative combination includes associated second mechanism, the second time interval and the second technical ability
Information；
First verifying submodule, for verifying the shoe of the target user according to first associative combination and the second associative combination
It goes through.
10. user's career verification device according to claim 9, the first verifying submodule include:
Matched sub-block, for according to first mechanism whether consistent with the second mechanism, described second time interval whether
The first associative combination and the second associative combination are matched in the first time section；
Second verifying submodule, for for first associative combination and the second associative combination that match, according to described the
The similarity of one performance information and the second performance information verifies the resume of the target user.
11. user's career verification device according to claim 10, the second verifying submodule include:
Second determines submodule, for determining first performance information and second according to preparatory trained artificial intelligence model
Similarity between performance information；
Third determines submodule, for determining the shoe of the target user when the similarity is greater than or equal to preset threshold
It goes through true.
12. the described in any item user's career verification devices of 0-11 according to claim 1, which is characterized in that second technical ability
Information includes at least: technical field, technical problem and/or technological means.
13. the described in any item user's career verification devices of 0-11 according to claim 1, which is characterized in that the scientific research discloses
Data include patent documentation data；And/or
The resume information further includes the patent document mark that the target user applied.
14. user's career verification device according to claim 13, which is characterized in that described first determines submodule, packet
It includes:
Analyzing sub-module, for parsing in title, abstract, claims and specification in the patent documentation data extremely
It is one few.
15. a kind of electronic equipment characterized by comprising
Memory and one or more processors；
Wherein, the memory is connect with one or more of processor communications, and being stored in the memory can be described
The instruction that one or more processors execute, when described instruction is executed by one or more of processors, the electronic equipment
For realizing the method according to claim 1 to 7.
16. a kind of computer readable storage medium, is stored thereon with computer executable instructions, refer to when the computer is executable
When order is executed by a computing apparatus, it can be used to realize the method according to claim 1 to 7.
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