CN115630080B - Guided talent policy welfare calculation method and device - Google Patents
Guided talent policy welfare calculation method and device Download PDFInfo
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- CN115630080B CN115630080B CN202211318384.2A CN202211318384A CN115630080B CN 115630080 B CN115630080 B CN 115630080B CN 202211318384 A CN202211318384 A CN 202211318384A CN 115630080 B CN115630080 B CN 115630080B
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Abstract
The application is applicable to the technical field of big data processing, and provides a guided talent policy welfare calculation method and device, wherein the method comprises the following steps: displaying a first interface; receiving first talent tag information through a first interface; if the lowest reporting condition and the first person label information in the policy library meet the first policy of the first preset relationship, displaying a second interface; receiving third talent tag information through a second interface; if the lowest reporting condition does not exist in the first policy and the third talent label information meets the policy of the second preset relation, a matching result is generated, and the matching result comprises a matched policy and/or a non-matched policy. The method and the device can solve the problem that the difficulty of searching the talent policy by the user is high, and then the matching and searching efficiency of the talent policy is low.
Description
Technical Field
The application belongs to the technical field of big data processing, and particularly relates to a guided talent policy welfare calculation method and device.
Background
The development of a country is not separated from the introduction of talents, so that the country is more and more important in talents introduction, and various policies are provided for various talents and enterprises for introducing talents all over the country.
However, there is a problem that when a user wants to obtain talent policy information of a related government, the user can only search through a policy and official network, and the user can only match own condition information (such as information of a graduation institution, employment situation, academic hierarchy, honor prize and responsible major items) through the policy information, and when the user searches, it cannot be judged how to input appropriate talent information to search for a talent policy matched with own condition, so that difficulty of searching the talent policy by the user is high, and further, the talent policy matching and searching efficiency is low.
Disclosure of Invention
In view of this, the application provides a guided talent policy benefit calculating method and device, which can solve the problem that the difficulty of searching talent policies by users is high at present, and thus the matching and searching efficiency of talent policies is low.
A first aspect of an embodiment of the present application provides a guided talent policy benefit calculating method, including:
displaying a first interface, wherein the first interface is used for prompting a user to select at least one item of conforming first talent tag information from a plurality of talent tag information displayed on the first interface;
receiving first talent tag information through a first interface;
If the lowest reporting condition and the first person label information in the policy library meet the first policy of the first preset relationship, displaying a second interface; the first preset relation is that second talent label information exists except the first talent label information in the lowest reporting condition, and the second interface is used for prompting a user to select at least one third talent label information from the second talent label information displayed on the second interface;
receiving third talent tag information through a second interface;
if the lowest reporting condition does not exist in the first policy and the third talent label information meets the policy of the second preset relation, a matching result is generated, the second preset relation is that the third talent label information exists in the lowest reporting condition, and the matching result comprises a matched policy and/or a non-matched policy.
In another implementation manner of the first aspect, after receiving the first talent label information through the first interface, the method further includes:
if the lowest reporting condition and the first personnel label information in the policy library meet the second policy of a third preset relation, displaying a third interface, wherein the third preset relation is that the first personnel label information completely meets the lowest reporting condition, and the third interface is used for recommending welfare corresponding to the second policy;
Accordingly, the matched policy includes a second policy.
In another implementation manner of the first aspect, after receiving the first talent label information through the first interface, the method further includes:
if the third policy that the lowest reporting condition and the first talent tag information meet the fourth preset relation do not exist in the policy library, displaying a fourth interface, wherein the fourth preset relation is that the first talent tag information exists in the lowest reporting condition, and the fourth interface is used for displaying talent tag information which does not meet the lowest reporting condition of the third policy;
accordingly, the non-matching policy includes a third policy.
In another implementation manner of the first aspect, after receiving the third talent label information through the second interface, the method further includes:
if the first policy has the lowest reporting condition and the third talent label information meets the fourth policy of a fifth preset relationship, displaying a fifth interface, wherein the fifth preset relationship is that the third talent label information completely meets the lowest reporting condition, and the fifth interface is used for recommending welfare corresponding to the fourth policy;
accordingly, the matched policies include a fourth policy.
In another implementation of the first aspect, before displaying the first interface, the method further includes:
Acquiring a policy file, wherein the policy file comprises a declaration condition;
extracting talent label information in the declaration condition;
based on talent tag information of the policy file, generating a talent tag set of the policy corresponding to the policy file, wherein the minimum reporting condition of the policy is determined by the talent tag set of the policy;
and constructing a policy library according to the talent label sets of all policies.
In another implementation manner of the first aspect, before displaying the first interface, the method includes:
calculating the importance of talent tag information in the policy library, and sorting the talent tag information in the policy library according to the importance of the talent tag information;
displaying the first interface includes:
and displaying talent label information according to the importance of the talent label information in the policy library through the first interface, wherein the first talent label information is one or more items of talent label information displayed in the first interface.
In another implementation of the first aspect, the matching result includes a policy of matching, and after generating the matching result, the method further includes:
obtaining a talent label set of the user according to the first talent label information and the third talent label information;
calculating the similarity between the talent label set of the user and the talent label set of each matched policy;
Sorting the similarity between the talent label set of the obtained user and the talent label set of each matched policy according to the order from high to low;
the combination of policies that the user can declare is determined to be the first N policies in the ranking, where N is a natural number greater than or equal to 1.
In another implementation of the first aspect, after determining that the combination of policies that the user can declare is the top N policies in the ranking, the method further includes:
and calculating welfare of the first N policies in the ranking, and recommending the first N policies to the user after ranking according to the welfare.
A second aspect of embodiments of the present application provides a guided talent policy benefit computing device, including:
the first display module is used for displaying a first interface, and the first interface is used for prompting a user to select at least one item of first talent tag information which accords with the first talent tag information from a plurality of talent tag information displayed on the first interface;
the first receiving module is used for receiving the first talent tag information through a first interface;
the second display module is used for displaying a second interface if the lowest declaration condition and the first talent label information in the policy library meet the first policy of the first preset relationship; the first preset relation is that second talent label information exists except the first talent label information in the lowest reporting condition, and the second interface is used for prompting a user to select at least one third talent label information from the second talent label information displayed on the second interface;
The second receiving module is used for receiving third talent tag information through a second interface;
the generation module is used for generating a matching result if the lowest declaration condition does not exist in the first policy and the third talent label information meets the policy of the second preset relation, wherein the second preset relation is that the third talent label information exists in the lowest declaration condition, and the matching result comprises a matched policy and/or a non-matched policy.
A third aspect of embodiments of the present application provides a terminal comprising a processor configured to execute a computer program stored in a memory, to implement the method of the first aspect above.
A fourth aspect of the embodiments of the present application provides a computer readable storage medium storing a computer program which when executed by a processor implements the method of the first aspect above.
The guided talent policy benefit calculating method provided by the application is applied to the terminal. Firstly, a first interface is displayed on a terminal, and the first interface is used for prompting a user to select at least one item of first talent tag information which accords with the first talent tag information from a plurality of talent tag information displayed on the first interface; secondly, the terminal receives first talent tag information through a first interface; thirdly, after the terminal determines that the lowest reporting condition exists in the policy library according to the first talent tag information and the first policy that the first talent tag information meets a first preset relationship, the terminal displays a second interface; the first preset relation is that second talent label information exists except the first talent label information in the lowest reporting condition, and the second interface is used for prompting a user to select at least one third talent label information from the second talent label information displayed on the second interface; then, the terminal receives third talent tag information through a second interface; and finally, after the terminal determines that the lowest reporting condition does not exist in the first policy and the third talent label information meets the policy of the second preset relation according to the received third talent label information, the terminal generates a matching result, wherein the second preset relation is that the third talent label information exists in the lowest reporting condition, and the matching result comprises a matched policy and/or an unmatched policy.
Through the method, when a user wants to know the related talent policy, the user does not need to independently search and screen the talent policy matched with the self condition information through the policy and official network, and only needs to select talent label information meeting the self condition from talent label information displayed in a terminal interface through the method provided by the application, so that a matching result can be obtained; therefore, the problem that the difficulty of searching the talent policy by the user is high, and the matching and searching efficiency of the talent policy is low can be solved.
It will be appreciated that the advantages of the second and fourth aspects may be found in the relevant description of the first aspect and are not repeated here.
Drawings
Fig. 1 is a flow chart illustrating a guided talent policy benefit calculating method according to an embodiment of the present application;
fig. 2 is a flow chart illustrating a guided talent policy benefit calculating method according to another embodiment of the present application;
fig. 3 is a flow chart illustrating a guided talent policy benefit calculating method according to another embodiment of the present application;
fig. 4 is a flow chart illustrating a guided talent policy benefit calculating method according to another embodiment of the present application;
Fig. 5 is a flow chart illustrating a guided talent policy benefit calculating method according to another embodiment of the present application;
FIG. 6 illustrates a schematic diagram of a policy representation generated for a policy provided by an embodiment of the present application;
fig. 7 is a flow chart illustrating a guided talent policy benefit calculating method according to another embodiment of the present application;
fig. 8 is a flow chart illustrating a guided talent policy benefit calculating method according to another embodiment of the present application;
fig. 9 is a flow chart illustrating a guided talent policy benefit calculating method according to another embodiment of the present application;
FIG. 10 is a block diagram schematically illustrating the composition of a guided talent policy benefit computing device provided by embodiments of the present application;
fig. 11 shows a schematic block diagram of a terminal according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present application. One skilled in the relevant art will recognize, however, that the aspects of the application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the application.
Those skilled in the art will appreciate that the drawings are schematic representations of example embodiments and may not be to scale. The modules or flows in the figures are not necessarily required to practice the present application and therefore should not be taken to limit the scope of the present application.
Referring to fig. 1, a flow chart of a guided talent policy benefit calculating method (i.e. policy recommending method) according to an embodiment of the present application is shown, and the method may include the following steps:
s11, displaying a first interface.
In this embodiment of the present application, the first interface is configured to prompt a user to select at least one item of first talent tag information that corresponds to the first talent tag information from a plurality of talent tag information displayed on the first interface. The first talent tag information is one or more talent tag information of a plurality of talent tag information displayed in the first interface.
In the embodiment of the application, the user only needs to select talent tag information conforming to own conditions according to the preset talent tag items in the input box of the first interface. The talent label item can guide a user to select talent label information conforming to own conditions. As an example, assume that talent tag items displayed on the first interface are in turn academic hierarchy and honor prize items.
After the user selects the academic hierarchy, the first interface pops up the talent label information input boxes related to the academic hierarchy, such as the talent label information input boxes of the academic type, the school type, the graduation years and the like, and the user can select talent label information conforming to the self conditions according to the guidance of the interface.
After the user selects the honor prize, the first interface pops up the talent label information input box related to the honor prize, such as popup world level prize, country level prize, provincial level prize, city level prize and other industry accepted prizes, and the user can select talent label information corresponding to the winning condition of the user according to the guidance of the interface.
In addition, the first interface may also display other talent tag items (such as employment, major items, basic features, talent types, etc.), and after the user selects the other talent tag items (such as major items), talent tag information (such as scientific research items, major activity items, talent introduction items) related to the major items is popped up for the user to select. This application is not illustrated herein.
S12, receiving first talent tag information through a first interface.
In the embodiment of the application, after the user selects the talent tag information conforming to the self condition according to the popped talent tag information input box, the first interface can receive the first talent tag information selected by the user.
As an example, assume that the first talent tag information selected by the user at the first interface is { graduation university: 985; the academic hierarchy: a master study; graduation years: 2021, 6 months; honor prize: a national grade prize; gender: female }.
Then, the first talent label information received by the first interface is { graduation university: 985; the academic hierarchy: a master study; graduation years: 2021, 6 months; honor prize: a national grade prize; gender: female }.
And S13, if the lowest reporting condition and the first person label information in the policy library meet the first policy of the first preset relationship, displaying a second interface.
In this embodiment of the present invention, the first preset relationship is that, in the minimum declaration condition, there is second talent label information except for the first talent label information, and the second interface is used for prompting the user to select at least one third talent label information from the second talent label information displayed on the second interface.
As an example, assume that first talent tag information selected by the user among talent tag information displayed on the first interface is { graduation university: 985; the academic hierarchy: a master study; graduation years: 2021, 6 months; honor prize: a national grade prize; gender: female }. After receiving the first talent tag information selected by the user, the first interface searches the policy library for a first policy matched with the first talent tag information.
It should be noted that, the first policy in the embodiment of the present application is any one of a plurality of policies that are found from the policy repository and match the first talent tag information.
As an example, assume that the lowest declaration condition of the first policy is: { graduation university: 985; the academic hierarchy: a master study and above; honor prize: provincial level awards and above; graduation years: 6 months and later in 2020: gender: is not limited; the major project is as follows: scientific research projects or major activity projects; age stratification: within 35 years of age; talent type: high-level talents }. It can be seen that the lowest declaration condition of the first talent tag information and the first policy satisfies the first preset relationship, that is, the lowest declaration condition of the first policy has second talent tag information (i.e., { major item: scientific research item or major activity item; age hierarchy: within 35 years; talent type: high-level talent }) in addition to the first talent tag information (i.e., { graduate university: 985; academic hierarchy: master study, graduate year: 2021: 6 months; honor prize: national grade prize; sex: woman }).
And displaying a second interface to the user when the minimum declaration condition of the first talent label information and the first policy meet the first preset relationship, wherein the second interface is used for prompting the user to select at least one item of third talent label information from the second talent label information displayed on the second interface, and the second talent label information is label information except the first talent label information selected by the user in the minimum declaration condition of the first policy. Of course, the above example only illustrates the embodiment of the present application by taking one first policy as an example, and in practical application, the second talent tag information is tag information except the first talent tag information in the talent tag information of all the first policies (i.e. in the lowest reporting condition).
S14, receiving third talent label information through a second interface.
By way of example, assume that the second talent tag information is talent tag information related to a talent tag item "major item" (e.g., scientific research item, talent introduction item, major activity item), talent tag information related to a "employment situation" (e.g., work unit, work year, work form, work identity), talent tag information related to a "talent type" (e.g., high-level talents, leading talents, industry-emphasized talents, overseas talents, domain specialists, post-doctor researchers, enterprise management staff, various laborers), talent tag information related to a "basic feature" (e.g., housing situation, household situation, age stratification), and the like.
And the terminal sequentially displays the second talent label information on a second interface according to the importance degree of each second talent label information for the user to select.
The third talent label information is one or more talent label information selected from the second talent label information displayed on the second interface by the user.
And S15, if the lowest reporting condition does not exist in the first policy and the third talent label information meets the policy of the second preset relation, generating a matching result, wherein the second preset relation is that the third talent label information exists in the lowest reporting condition, and the matching result comprises a matched policy and/or a non-matched policy.
In this embodiment of the present application, if the user selects third talent tag information from the second talent tag information displayed on the second interface according to the user's own condition, the third talent tag information is { age stratification: 35-45 }.
And the terminal searches the policy matched with the third talent label information from the first policy obtained by matching in the S13 according to the third talent label information selected by the user on the second interface. If the first policy does not have the policy with the lowest reporting condition and the third talent label information selected by the user have the second preset relation, the terminal generates a matching result, wherein the matching result comprises a matched policy and/or a non-matched policy.
Referring to fig. 2, in another embodiment of the present application, the method includes:
s21, displaying a first interface.
S22, receiving first talent label information through a first interface.
S23, if the lowest reporting condition and the first talent label information in the policy library meet the second policy of a third preset relationship, displaying a third interface, wherein the third preset relationship is that the first talent label information completely meets the lowest reporting condition, and the third interface is used for recommending welfare corresponding to the second policy;
accordingly, the matched policy includes a second policy.
As an example, assume that the first talent tag information received by the terminal through the first interface is { graduation university: 985; the academic hierarchy: a master study; graduation years: 2021, 6 months; honor prize: a national grade prize; gender: female }. There is a second policy in the policy repository whose talent tag information is { graduation university: 985; the academic hierarchy: a master study; graduation years: 6 months in 2020 and later; honor prize: provincial level awards and above; gender: not limited }, it should be noted that the talent label information of the second policy is the lowest reporting condition of the second policy.
After the terminal receives the first talent tag information, the terminal can find the talent tag information of the second policy which is completely matched with the first talent tag information from the policy library, and correspondingly, the terminal can determine the second policy as the policy which is matched with the user.
It can be seen that when the third preset relationship is satisfied between the first talent tag information and the lowest declaration condition of the second policy in the policy repository (i.e., the talent tag information of the second policy) (i.e., the first talent tag information completely satisfies the lowest declaration condition), the terminal can determine the second policy as a policy that completely matches the first talent tag information.
Therefore, the matching policy in the matching result in S15 may include the second policy.
After obtaining the second policy that exactly matches the first talent tag information, the terminal may recommend to the user, through the third interface, the related benefits of the second policy, such as housing benefits, cash benefits, equity benefits, etc.
Referring to fig. 3, in another embodiment of the present application, there is included:
s31, displaying a first interface.
S32, receiving first talent tag information through a first interface.
S33, if the third policy that the lowest reporting condition and the first talent label information meet the fourth preset relation do not exist in the policy library, displaying a fourth interface, wherein the fourth preset relation is that the first talent label information exists in the lowest reporting condition, and the fourth interface is used for displaying talent label information which does not meet the lowest reporting condition of the third policy;
Accordingly, the non-matching policy includes a third policy.
As an example, assume that the first talent tag information received by the terminal through the first interface is { graduation university: the common cost is one; the academic hierarchy: a master study; graduation years: 2021, 6 months }.
After receiving the first talent tag information, the terminal does not find talent tag information of a third policy including the first talent tag information from the policy repository (the talent tag information of the third policy is the minimum reporting condition of the third policy), that is, the first talent tag information and the minimum reporting condition of the third policy satisfy a fourth preset relationship: the first talent label information is not present in the minimum declaration condition (for example { graduate: general one, academic hierarchy: major study, graduate year: 2021, 6 months }).
At this time, the terminal may determine that the third policy (i.e., all policies in the policy repository) is a non-matching policy.
Therefore, the policies that are not matched in the matching result in S15 may include a third policy.
After determining the unmatched third policy according to the first talent tag information, the terminal can display the minimum reporting condition required to be met by the third policy to the user through a fourth interface.
Referring to fig. 4, in another embodiment of the present application, the method includes the steps of:
s41, displaying a first interface.
S42, receiving first talent tag information through a first interface.
S43, if the lowest reporting condition and the first person label information in the policy library meet the first policy of the first preset relationship, a second interface is displayed.
S44, receiving third talent label information through the second interface.
S45, if the first policy has the lowest reporting condition and the third talent label information meets the fourth policy with a fifth preset relationship, displaying a fifth interface, wherein the fifth preset relationship is that the third talent label information completely meets the lowest reporting condition, and the fifth interface is used for recommending welfare corresponding to the fourth policy;
accordingly, the matched policies include a fourth policy.
For the description of the embodiment of the present application, reference may be made to the related description in S23, which is not repeated here.
Referring to fig. 5, before displaying the first interface, further comprising:
s51, acquiring a policy file, wherein the policy file comprises a declaration condition.
In this embodiment of the present application, policy documents related to talents may be obtained from a corporate network of each government department through a web crawler technology, where the policy documents include structured information such as policy document numbers, policy matters, release times, validity periods, reporting conditions, crowd-oriented, constraint conditions, cash benefits, housing benefits, equity benefits, and the like.
In this embodiment, the obtained policy file may be structured by a text analysis method, and the structured information of the policy file may be extracted, including the structured information such as the policy file number, the policy item, the release time, the validity period, the reporting condition, the crowd-oriented, the constraint condition, the cash benefit, the housing benefit, the equity benefit, and the like.
As an example, after structuring one of all the obtained policy files, the obtained structured information may be:
(1) Policy file name: several policies (trials) on further attracting excellent talents to support the development of important industries;
(2) Policy matters: house guarantee;
(3) Release time: 2020.10.1;
(4) Validity period: 2022.12.31;
(5) Crowd-oriented: talents in the center (class A);
(6) Reporting conditions: the excellent talents of the key enterprise industry work obtain the excessive province grade and the more than rewards, participate in the scientific and technological research project or talent introduction project, and have the professional technical title … …;
(7) Limiting conditions: the housing benefit and the cash benefit cannot be applied at the same time;
(8) Cash welfare: 6 ten thousand yuan/year; duration of years: 3 years;
(9) Housing welfare: 220m 2 The method comprises the steps of carrying out a first treatment on the surface of the Duration of years: 3 years;
(10) Rights and benefits: the maximum limit of the housing public accumulation fund loan application is relaxed to twice the current limit; duration of years: disposable.
S52, extracting talent label information in the declaration condition.
In the embodiment of the application, after the acquired policy file is structured by a text analysis method to obtain the declaration condition, talent tag information in the declaration condition can be extracted.
As an example, talent tag information extracted from the declaration condition of the policy file obtained in S51 is: the key enterprise industry works, obtains the awards of the province level and above, participates in scientific and technological research projects or talent introduction projects, and has professional technical names.
S53, generating a talent label set of the policy corresponding to the policy file based on talent label information of the policy file, wherein the minimum declaration condition of the policy is determined by the talent label set of the policy.
As an example, the talent tag information of the policy file extracted in S52 is combined to generate a talent tag set for the policy corresponding to the policy file: { talent type: important enterprise industry work; honor prize: province and above awards; the major project is as follows: scientific and technological research projects or talent introduction projects; title hierarchy: professional technical title }.
It should be noted that, the talent label set generated for the policy is the minimum declaration condition of the policy.
S54, constructing a policy library according to the talent label sets of all policies.
In the embodiment of the application, after a talent tag set is generated for each policy corresponding to the obtained policy document, a policy portrait is generated for each policy according to the restriction condition of the policy. Wherein the limiting conditions include: sharing relationships (e.g., housing benefits and equity benefits may be applied simultaneously, cash benefits and equity benefits may be applied simultaneously), exclusive relationships (e.g., housing benefits and cash benefits may not be applied simultaneously), and precedence relationships (e.g., cash benefits may be applied after the housing benefits expire).
After generating policy portraits for the policies corresponding to each of the obtained policy documents, a policy repository may be built based on the policy portraits for all of the policies.
As an example, referring to fig. 6, a policy representation is generated for a policy corresponding to one of all of the obtained policy documents.
Referring to fig. 7, in another embodiment of the present application, before displaying the first interface, the method further includes:
s71, calculating the importance of talent tag information in the policy library, and sorting the talent tag information in the policy library according to the importance of the talent tag information.
In this embodiment of the present application, after the policy repository is built through the steps described in S51 to S54, the connection degree of each talent tag information (that may be the number of connection sides of the talent tag information in the policy portrait) in the policy repository is counted, and after the importance degree of each talent tag information is obtained, the talent tag information in the policy repository may be ordered according to the importance degree of the talent tag information.
As an example, assume that the importance of talent tag information related to a talent tag item "academic hierarchy" existing in a policy repository is first, the importance of talent tag information related to a talent tag item "honor prize" is second, the importance of talent tag information related to a talent tag item "major item" is third, and so on. Then, the terminal can sort the talent label information in the policy library according to the importance of the talent label information.
Correspondingly, displaying a first interface, comprising:
s72, displaying talent tag information according to the importance of the talent tag information in the policy library through the first interface, wherein the first talent tag information is one or more items of talent tag information displayed in the first interface.
In this embodiment of the present application, after the importance of the talent tag information existing in the policy repository is ordered through the steps described in S71, the terminal may display the talent tag information according to the importance of the talent tag information in the policy repository through the first interface, so as to guide the user to sequentially select the talent tag information that meets the self-condition.
As an example, the terminal may display the "academic hierarchy", "honor prize", "major item", etc. talent label items in order for the user to preferentially select.
Accordingly, as an example, after the user selects the "learning hierarchy", the first interface pops up the talent tag information input box related to the "learning hierarchy", such as pops up the talent tag information input box of learning type, school type, graduation period, etc., and the user can select talent tag information conforming to the own condition according to the guidance of the interface.
After the user selects the honor prize, the first interface pops up the talent label information input box related to the honor prize, such as world grade prize, country grade prize, provincial grade prize, city grade prize and other industry approved prizes, and the user can select the prizes conforming to the winning conditions of the user according to the guidance of the interface.
After the user selects the 'important item', the first interface pops up the talent label information input box related to the 'important', such as popping up the scientific and technological research item, the important activity item and the talent introduction item, the user can select the item conforming to the responsibility condition of the item according to the guidance of the interface, and the like, until the user sequentially selects talent label information conforming to the condition according to the talent label item displayed on the first interface.
Referring to fig. 8, in another embodiment of the present application, the matching result includes a policy of matching, and after generating the matching result, further includes:
s81, obtaining a talent label set of the user according to the first talent label information and the third talent label information.
According to the talent label information, a talent label set of a user is obtained according to first talent label information selected by the user in talent label information displayed on a first interface and third talent label information selected by the user in second talent label information displayed on a second interface.
As an example, assume that first talent tag information selected by a user among talent tag information displayed on a first interface is: { graduation university: 985; the academic hierarchy: a master study; graduation years: 2021, 6 months; honor prize: a national grade prize; gender: female }; the third talent label information selected by the user from the talent label information displayed on the second interface is: { age stratification: 35-45; the major project is as follows: a scientific and technological research project; housing conditions: no own housing }.
Correspondingly, the talent label set of the user can be obtained according to the first talent label information and the third talent label information selected by the user, and the talent label set comprises: { graduation university: 985; the academic hierarchy: a master study; graduation years: 2021, 6 months; honor prize: a national grade prize; gender: a female; age stratification: 35-45; the major project is as follows: a scientific and technological research project; housing conditions: no own housing }.
Here, it should be noted that, after the user selects the first talent tag information from the talent tag information displayed on the first interface, if the policy with the lowest reporting condition being the first talent tag information is matched from the policy repository, the first talent tag information is the talent tag set of the user.
S82, calculating the similarity between the talent label set of the user and the talent label set of each matched policy.
As an example, assuming that the first talent tag information selected by the user is matched to 30 first policies from the policy repository, the third talent tag information selected by the user is matched to 15 more conforming policies from the 30 first policies.
When the 15 matched policies are recommended to the user, the similarity between the talent label set of the lower user and the talent label set of each matched policy is calculated.
As an example, a cosine similarity algorithm may be employed to calculate the similarity between the user's talent tag set and the talent tag set of each of the 15 policies that are matched.
S83, sorting the obtained similarity between the talent label set of the user and the talent label set of each matched policy in the order from high to low.
As an example, after obtaining the similarity between the set of talent labels of the user and each of the 15 policies that are matched, the 15 policies that are matched are ranked in terms of similarity from large to small.
S84, determining that the policy combination which can be declared by the user is the first N policies in the sequence, wherein N is a natural number which is greater than or equal to 1.
As an example, after the 15 policies matched are ranked from large to small in terms of similarity with the user's talent tag set, the policy ranked in the top 10 is recommended to the user as a policy combination.
Referring to fig. 9, in another embodiment of the present application, the method further comprises the steps of:
s91, obtaining a talent label set of the user according to the first talent label information and the third talent label information.
S92, calculating the similarity between the talent label set of the user and the talent label set of each matched policy.
S93, sorting the obtained similarity between the talent label set of the user and the talent label set of each matched policy in the order from high to low.
S94, determining that the combination of policies that can be declared by the user is the first N policies in the ranking.
S95, calculating welfare of the first N policies in the sorting, sorting the first N policies according to the welfare, and recommending the first N policies to the user.
As an example, after the top-ranked 10 policy combinations that the user can declare are determined, the benefit size (e.g., housing benefit, cash benefit, equity benefit, etc.) for each policy in the policy combinations is calculated. The 10 policies in the policy combination are ranked again from high to low according to welfare and then recommended to the user. In this way, it can be further ensured that the policy combination recommended to the user more meets the user's expectations.
Referring to fig. 10, fig. 10 illustrates a guided talent policy benefit calculating device (i.e. policy recommending device) according to an embodiment of the present application, including:
a first display module 1010, configured to display a first interface, where the first interface is configured to prompt a user to select at least one item of first talent tag information that corresponds to the plurality of talent tag information displayed on the first interface;
a first receiving module 1020, configured to receive first talent tag information through a first interface;
a second display module 1030, configured to display a second interface if the policy repository has a first policy with a minimum declaration condition and first talent tag information satisfying a first preset relationship; the first preset relation is that second talent label information exists except the first talent label information in the lowest reporting condition, and the second interface is used for prompting a user to select at least one third talent label information from the second talent label information displayed on the second interface;
The second receiving module 1040 is configured to receive third talent tag information through a second interface;
the generating module 1050 is configured to generate a matching result if the lowest declaration condition does not exist in the first policy and the third talent tag information satisfies the policy of the second preset relationship, where the second preset relationship is that the third talent tag information exists in the lowest declaration condition, and the matching result includes a matched policy and/or a non-matched policy.
In another embodiment of the present application, the policy recommending apparatus 10 further includes:
the third display module is used for displaying a third interface if the lowest declaration condition and the first talent label information in the policy library meet a second policy with a third preset relationship, wherein the third preset relationship is that the first talent label information completely meets the lowest declaration condition, and the third interface is used for recommending welfare corresponding to the second policy; accordingly, the matched policy includes a second policy.
In another embodiment of the present application, the policy recommending apparatus 10 further includes:
the fourth display module is used for displaying a fourth interface if the third policy of the lowest reporting condition and the first talent label information meeting the fourth preset relation do not exist in the policy library, the fourth preset relation is that the first talent label information exists in the lowest reporting condition, and the fourth interface is used for displaying talent label information of the lowest reporting condition which does not meet the third policy; accordingly, the non-matching policy includes a third policy.
In another embodiment of the present application, the policy recommending apparatus 10 further includes:
the fifth display module is used for displaying a fifth interface if the first policy has the lowest reporting condition and the third talent label information meets a fourth policy with a fifth preset relationship, wherein the fifth preset relationship is that the third talent label information completely meets the lowest reporting condition, and the fifth interface is used for recommending welfare corresponding to the fourth policy; accordingly, the matched policies include a fourth policy.
In another embodiment of the present application, the policy recommending apparatus 10 further includes:
the policy construction module is used for acquiring a policy file, wherein the policy file comprises a declaration condition; extracting talent label information in the declaration condition; based on talent tag information of the policy file, generating a talent tag set of the policy corresponding to the policy file, wherein the minimum reporting condition of the policy is determined by the talent tag set of the policy; and constructing a policy library according to the talent label sets of all policies.
In another embodiment of the present application, the policy recommending apparatus 10 further includes:
the first calculation module is used for calculating the importance of talent tag information in the policy library and sequencing the talent tag information in the policy library according to the importance of the talent tag information.
In another embodiment of the present application, the first display module 1010 is further configured to:
and displaying talent label information according to the importance of the talent label information in the policy library through the first interface, wherein the first talent label information is one or more items of talent label information displayed in the first interface.
In another embodiment of the present application, the policy recommending apparatus 10 further includes:
the acquisition module is used for acquiring a talent tag set of the user according to the first talent tag information and the third talent tag information;
the second calculation module is used for calculating the similarity between the talent label set of the user and the talent label set of each matched policy;
the sorting module is used for sorting the similarity between the obtained talent label set of the user and the talent label set of each matched policy in a sequence from high to low;
and the determining module is used for determining that the policy combination which can be declared by the user is the first N policies in the sequence, wherein N is a natural number which is greater than or equal to 1.
In another embodiment of the present application, the policy recommending apparatus 10 further includes:
and the recommending module is used for calculating welfare of the first N policies in the sorting, sorting the first N policies according to the welfare, and recommending the first N policies to the user.
It should be noted that, the execution process and the mutual information interaction between the above devices/modules are based on the same concept, and specific functions and technical effects thereof may be referred to in the method embodiment section, and are not described herein.
Referring to fig. 11, fig. 11 is a schematic structural diagram of a terminal provided in an embodiment of the present application, as shown in the drawing, the terminal 11 includes:
one or more processors 1110, a memory 1120, and a computer program 1130 stored in the memory 1120 and executable on the processor 1110. The steps of the various method embodiments described above, such as steps S11 to S15 shown in fig. 1, are implemented when the processor 1110 executes the computer program 1130.
By way of example, the computer program 1130 may be divided into one or more units stored in the memory 1120 and executed by the processor 1110 to perform the present application, the one or more units may be a series of computer program instruction segments capable of performing the specific functions describing the execution of the computer program 1130 in the terminal 11. For example, the computer program 1130 may be split into several modules, as follows, for example:
A first display module 1010, configured to display a first interface, where the first interface is configured to prompt a user to select at least one item of first talent tag information that corresponds to the plurality of talent tag information displayed on the first interface;
a first receiving module 1020, configured to receive first talent tag information through a first interface;
a second display module 1030, configured to display a second interface if the policy repository has a first policy with a minimum declaration condition and first talent tag information satisfying a first preset relationship; the first preset relation is that second talent label information exists except the first talent label information in the lowest reporting condition, and the second interface is used for prompting a user to select at least one third talent label information from the second talent label information displayed on the second interface;
the second receiving module 1040 is configured to receive third talent tag information through a second interface;
the generating module 1050 is configured to generate a matching result if the lowest declaration condition does not exist in the first policy and the third talent tag information satisfies the policy of the second preset relationship, where the second preset relationship is that the third talent tag information exists in the lowest declaration condition, and the matching result includes a matched policy and/or a non-matched policy.
Including but not limited to a processor 1110, a memory 1120. It will be appreciated by those skilled in the art that fig. 11 is only one example of a terminal 11 and is not intended to be limiting of the terminal 11, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the terminal 11 may further include input devices, output devices, network access devices, buses, etc.
The processor 1110 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 1120 may be an internal storage unit of the terminal 11, such as a hard disk or a memory of the terminal 11. The memory 1120 may also be an external storage device of the terminal 11, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the terminal 11. Further, the memory 1120 may also include both an internal storage unit and an external storage device of the terminal 11. The memory 1120 is used for storing the computer program and other programs and data required for the terminal 11. The memory 1120 may also be used to temporarily store data that has been output or is to be output.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative talent policy benefit computing method steps described in connection with the embodiments disclosed herein can be implemented as electronic hardware, or as a combination of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In another embodiment of the present application, a computer readable storage medium is provided, where a computer program is stored, where the computer program implements any of the guided talent policy welfare calculation methods provided in the embodiments of the present application when the computer program runs on a processor.
The guided talent policy benefit calculating method provided in the embodiments of the present application may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, the present application may implement all or part of the flow of the method of the above-described embodiments, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by one or more processors, the computer program may implement the steps of each of the method embodiments described above.
Also, as a computer program product, the steps of the various method embodiments described above may be implemented when the computer program product is run on a robot, causing a terminal to execute.
Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable storage medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
It should be noted that the computer readable storage medium may include content that is subject to appropriate increases and decreases as required by jurisdictions and by jurisdictions in which such computer readable storage medium does not include electrical carrier signals and telecommunications signals.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.
Claims (8)
1. A guided talent policy benefit computing method, comprising:
acquiring a policy file, wherein the policy file comprises a declaration condition;
extracting talent label information in the declaration condition;
generating a talent label set of a policy corresponding to the policy file based on talent label information of the policy file, wherein the minimum declaration condition of the policy is determined by the talent label set of the policy;
constructing a policy library according to the talent label sets of all the policies;
displaying a first interface, wherein the first interface is used for prompting a user to select at least one item of first talent tag information which accords with the first talent tag information from a plurality of talent tag information displayed on the first interface;
receiving the first talent tag information through the first interface;
if the lowest reporting condition and the first person label information in the policy library meet the first policy of the first preset relationship, displaying a second interface; the first preset relation is that second talent label information exists in the lowest declaration condition except the first talent label information, and the second interface is used for prompting a user to select at least one third talent label information from the second talent label information displayed on the second interface;
Receiving the third talent label information through the second interface;
if the lowest reporting condition does not exist in the first policy and the third talent label information meets the policy of a second preset relation, a matching result is generated, wherein the second preset relation is that the third talent label information exists in the lowest reporting condition, and the matching result comprises a matched policy and/or a non-matched policy;
if the first policy has the lowest reporting condition and the third talent label information meets a fourth policy with a fifth preset relationship, a fifth interface is displayed, wherein the fifth preset relationship is that the third talent label information meets the lowest reporting condition, the fifth interface is used for recommending welfare corresponding to the fourth policy, and the fourth policy is a matched policy.
2. The method of claim 1, wherein after the receiving the first talent tag information via the first interface, the method further comprises:
if the lowest reporting condition and the second policy of the first talent tag information meet a third preset relationship exist in the policy library, a third interface is displayed, wherein the third preset relationship is that the first talent tag information meets the lowest reporting condition, and the third interface is used for recommending welfare corresponding to the second policy;
Accordingly, the matched policy includes the second policy.
3. The method of claim 1, wherein after the receiving the first talent tag information via the first interface, the method further comprises:
if the third policy that the lowest reporting condition and the first talent tag information meet a fourth preset relationship do not exist in the policy library, displaying a fourth interface, wherein the fourth preset relationship is that the first talent tag information exists in the lowest reporting condition, and the fourth interface is used for displaying talent tag information which does not meet the lowest reporting condition of the third policy;
accordingly, the unmatched policies include the third policy.
4. The method of claim 1, wherein prior to displaying the first interface, comprising:
calculating the importance of talent tag information in the policy library, and sorting the talent tag information in the policy library according to the importance of the talent tag information;
the displaying the first interface includes:
and displaying the talent label information according to the importance of the talent label information in the policy library through the first interface, wherein the first talent label information is one or more items of talent label information displayed in the first interface.
5. The method of claim 1, wherein the match result comprises a policy for matching, the method further comprising, after generating the match result:
obtaining a talent tag set of the user according to the first talent tag information and the third talent tag information;
calculating the similarity between the talent label set of the user and the talent label set of each matched policy;
sorting the obtained talent label sets of the users and the similarity of the talent label sets of each matched policy according to the order from high to low;
the combination of policies that can be declared by the user is determined to be the first N policies in the ranking, where N is a natural number greater than or equal to 1.
6. The method of claim 5, wherein after the determining that the user-reportable policy combination is the first N policies in the ranking, the method further comprises:
and calculating welfare of the first N policies in the ranking, and recommending the first N policies to the user after ranking according to the welfare.
7. A guided talent policy benefit computing device, comprising:
the policy construction module is used for acquiring a policy file, wherein the policy file comprises a declaration condition; extracting talent label information in the declaration condition; based on talent tag information of the policy file, generating a talent tag set of the policy corresponding to the policy file, wherein the minimum reporting condition of the policy is determined by the talent tag set of the policy; constructing a policy library according to talent label sets of all policies;
The first display module is used for displaying a first interface, and the first interface is used for prompting a user to select at least one item of first talent tag information which accords with the first talent tag information from a plurality of talent tag information displayed on the first interface;
the first receiving module is used for receiving the first talent tag information through the first interface;
the second display module is used for displaying a second interface if the lowest declaration condition and the first person label information in the policy library meet the first policy of the first preset relationship; the first preset relation is that second talent label information exists in the lowest declaration condition except the first talent label information, and the second interface is used for prompting a user to select at least one third talent label information from the second talent label information displayed on the second interface;
the second receiving module is used for receiving the third talent tag information through the second interface;
the generation module is used for generating a matching result if the lowest reporting condition does not exist in the first policy and the third talent label information meets the policy of a second preset relation, wherein the second preset relation is that the third talent label information exists in the lowest reporting condition, and the matching result comprises a matched policy and/or a non-matched policy;
The fifth display module is used for displaying a fifth interface if the first policy has the lowest reporting condition and the third talent label information meets a fourth policy with a fifth preset relationship, wherein the fifth preset relationship is that the third talent label information completely meets the lowest reporting condition, and the fifth interface is used for recommending welfare corresponding to the fourth policy; accordingly, the matched policies include a fourth policy.
8. A terminal comprising a processor for running a computer program stored in a memory to implement the method of any one of claims 1 to 6.
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Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101398916A (en) * | 2007-09-29 | 2009-04-01 | 上海市高新技术成果转化服务中心 | Method for constructing intelligent policy expert system |
| CN106021553A (en) * | 2016-05-30 | 2016-10-12 | 深圳市华傲数据技术有限公司 | Structuralized data matching method and system |
| CN106484851A (en) * | 2016-09-30 | 2017-03-08 | 深圳市华傲数据技术有限公司 | Information searching system based on talents selection information platform and method |
| KR20180072594A (en) * | 2018-02-12 | 2018-06-29 | 스토리앤브라더스(주) | User equipment and computer program stored in computer readable medium for matching talented person with project |
| KR20190052980A (en) * | 2017-11-09 | 2019-05-17 | 김태령 | Device and method of processing recruitment information |
| CN110457696A (en) * | 2019-07-31 | 2019-11-15 | 福州数据技术研究院有限公司 | A kind of talent towards file data and policy intelligent Matching system and method |
| CN110516072A (en) * | 2019-08-30 | 2019-11-29 | 广州开发区信息工程有限公司 | Policy data processing method, device, computer equipment and storage medium |
| CN110532451A (en) * | 2019-06-26 | 2019-12-03 | 平安科技（深圳）有限公司 | Search method and device for policy text, storage medium, electronic device |
| CN111061679A (en) * | 2019-12-16 | 2020-04-24 | 上海市研发公共服务平台管理中心 | Method and system for rapid configuration of technological innovation policy based on rete and drools rules |
| CN111930966A (en) * | 2020-10-07 | 2020-11-13 | 杭州实在智能科技有限公司 | Intelligent policy matching method and system for digital government affairs |
| CN112380318A (en) * | 2020-11-12 | 2021-02-19 | 中国科学技术大学智慧城市研究院(芜湖) | Enterprise policy matching method based on label similarity |
| CN112819286A (en) * | 2021-01-07 | 2021-05-18 | 连云港中教常青科技发展有限公司 | Classified matching system and method for high embedding degree of elite talents and posts |
| CN113297350A (en) * | 2021-05-20 | 2021-08-24 | 浙江微雨科技有限公司 | Intelligent matching retrieval system and method for policies |
| CN113870083A (en) * | 2021-09-27 | 2021-12-31 | 中关村意谷(北京)科技服务有限公司 | Policy matching method, device and system, electronic equipment and readable storage medium |
| WO2022016561A1 (en) * | 2020-07-22 | 2022-01-27 | 江苏宏创信息科技有限公司 | Ai modeling system and method for policy profiling based on big data |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11775933B2 (en) * | 2011-10-05 | 2023-10-03 | Scout Exchange Llc | System and method for managing a talent platform |
| US10691760B2 (en) * | 2014-11-06 | 2020-06-23 | Microsoft Technology Licensing, Llc | Guided search |
-
2022
- 2022-10-26 CN CN202211318384.2A patent/CN115630080B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101398916A (en) * | 2007-09-29 | 2009-04-01 | 上海市高新技术成果转化服务中心 | Method for constructing intelligent policy expert system |
| CN106021553A (en) * | 2016-05-30 | 2016-10-12 | 深圳市华傲数据技术有限公司 | Structuralized data matching method and system |
| CN106484851A (en) * | 2016-09-30 | 2017-03-08 | 深圳市华傲数据技术有限公司 | Information searching system based on talents selection information platform and method |
| KR20190052980A (en) * | 2017-11-09 | 2019-05-17 | 김태령 | Device and method of processing recruitment information |
| KR20180072594A (en) * | 2018-02-12 | 2018-06-29 | 스토리앤브라더스(주) | User equipment and computer program stored in computer readable medium for matching talented person with project |
| CN110532451A (en) * | 2019-06-26 | 2019-12-03 | 平安科技（深圳）有限公司 | Search method and device for policy text, storage medium, electronic device |
| CN110457696A (en) * | 2019-07-31 | 2019-11-15 | 福州数据技术研究院有限公司 | A kind of talent towards file data and policy intelligent Matching system and method |
| CN110516072A (en) * | 2019-08-30 | 2019-11-29 | 广州开发区信息工程有限公司 | Policy data processing method, device, computer equipment and storage medium |
| CN111061679A (en) * | 2019-12-16 | 2020-04-24 | 上海市研发公共服务平台管理中心 | Method and system for rapid configuration of technological innovation policy based on rete and drools rules |
| WO2022016561A1 (en) * | 2020-07-22 | 2022-01-27 | 江苏宏创信息科技有限公司 | Ai modeling system and method for policy profiling based on big data |
| CN111930966A (en) * | 2020-10-07 | 2020-11-13 | 杭州实在智能科技有限公司 | Intelligent policy matching method and system for digital government affairs |
| CN112380318A (en) * | 2020-11-12 | 2021-02-19 | 中国科学技术大学智慧城市研究院(芜湖) | Enterprise policy matching method based on label similarity |
| CN112819286A (en) * | 2021-01-07 | 2021-05-18 | 连云港中教常青科技发展有限公司 | Classified matching system and method for high embedding degree of elite talents and posts |
| CN113297350A (en) * | 2021-05-20 | 2021-08-24 | 浙江微雨科技有限公司 | Intelligent matching retrieval system and method for policies |
| CN113870083A (en) * | 2021-09-27 | 2021-12-31 | 中关村意谷(北京)科技服务有限公司 | Policy matching method, device and system, electronic equipment and readable storage medium |
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|---|---|
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