CN117196165A - Recommendation method and device for labor outsourcing personnel - Google Patents
Recommendation method and device for labor outsourcing personnel Download PDFInfo
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- CN117196165A CN117196165A CN202310457697.4A CN202310457697A CN117196165A CN 117196165 A CN117196165 A CN 117196165A CN 202310457697 A CN202310457697 A CN 202310457697A CN 117196165 A CN117196165 A CN 117196165A
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Abstract
The application discloses a method and equipment for outsourcing personnel of labor service, wherein the method comprises the following steps: acquiring purchasing requirements corresponding to a plurality of purchasing enterprises respectively in a preset period; the purchasing requirements comprise the number of people required, purchasing projects, purchasing areas and purchasing time; extracting semantic keywords from the purchase items, and determining the labor outsourcing type of the purchase enterprises; determining a first labor outsourcing person to be recommended corresponding to the labor outsourcing type; acquiring credit points of a first outsourcing personnel to be recommended; determining a second to-be-recommended labor outsourcing personnel exceeding a preset integral threshold; determining the association degree between the second labor outsourcing personnel to be recommended and the purchasing enterprise according to the enterprise relationship graph; the higher the association degree is, the higher the familiarity degree of the service field between the second outsourcing personnel to be recommended and the purchasing enterprise is; and determining labor outsourcing personnel to be recommended to the purchasing enterprise according to the association degree and the purchasing demand. And more accurately recommending the most suitable labor outsourcing personnel for purchasing enterprises.
Description
Technical Field
The application relates to the technical field of purchase recommendation, in particular to a recommendation method and device for labor outsourcing personnel.
Background
Generally, with the expansion of business, in order to reduce the labor cost of the company and maximize the efficiency, the enterprise generally chooses to reside in the factory by means of the technicians (short for labor outsourcers) of the outsourcing company to provide relevant technical guidance or professional services. That is, the outsourcing personnel of the labor service refers to the personnel which are not managed by the enterprise but are responsible for a part of the business of the enterprise.
At present, whether the purchasing requirement is met is generally judged according to the project experience of the labor outsourcing personnel, so that the assessment factor of the labor outsourcing personnel is single, and because the labor outsourcing personnel is high in general mobility, different projects or similar projects are different in general at different times, the purchasing enterprises also lack necessary knowledge of the labor outsourcing personnel, the historical work performance of the labor outsourcing personnel cannot be known in advance, the trust degree of the purchasing enterprises on the labor outsourcing personnel is influenced, the familiarity of the labor outsourcing personnel to the purchasing enterprise business field is not considered, and finally the labor outsourcing personnel which are most suitable for the purchasing enterprises cannot be recommended accurately.
Disclosure of Invention
The embodiment of the application provides a method and equipment for recommending labor outsourcing personnel, which are used for solving the problem that labor outsourcing personnel most suitable for purchasing enterprises cannot be accurately recommended.
The embodiment of the application adopts the following technical scheme:
in one aspect, an embodiment of the present application provides a method for recommending labor outsourcing personnel, where the method includes: acquiring purchasing requirements corresponding to a plurality of purchasing enterprises respectively in a preset period; the purchasing requirements comprise the number of required persons, purchasing projects, purchasing areas and purchasing time; extracting semantic keywords from the purchase items, and determining the labor outsourcing type of the purchase enterprises; determining a plurality of first labor outsourcing personnel to be recommended corresponding to the labor outsourcing type; acquiring credit points of the first to-be-recommended labor service outsourcing personnel; the credit points are used for representing the working trust degree of the first to-be-recommended labor outsourcing personnel in the historical purchasing demands; the higher the credit score is, the more the working capacity of the first to-be-recommended labor outsourcing personnel can be over the historical purchasing demand; determining a plurality of second outsourcing personnel to be recommended for working, wherein the second outsourcing personnel to be recommended exceed a preset integral threshold; determining the association degree between the second labor service outsourcing personnel to be recommended and the purchasing enterprise according to a pre-established enterprise relationship map; the higher the association degree is, the higher the familiarity degree of the service field between the second to-be-recommended labor outsourcing personnel and the purchasing enterprise is; and determining labor outsourcing personnel to be recommended to the purchasing enterprise according to the association degree and the purchasing demand.
In one example, the determining, according to a pre-constructed enterprise relationship graph, the association degree between the second to-be-recommended labor outsourcing personnel and the purchasing enterprise specifically includes: determining a first association score of the second to-be-recommended labor outsourcing personnel and the purchasing enterprise in the labor outsourcing record of the second to-be-recommended labor outsourcing personnel; if the first association score is lower than a preset association threshold, determining an association enterprise of the purchasing enterprise in a pre-established enterprise relationship graph; the business field between the purchasing enterprise and the association enterprise has an association relation; determining a second association score of the second to-be-recommended labor outsourcing personnel and the association enterprise in the labor outsourcing record of the second to-be-recommended labor outsourcing personnel; and determining the association degree between the second labor outsourcing personnel to be recommended and the purchasing enterprise according to the first association score and the second association score.
In one example, the determining, according to the first association score and the second association score, the association degree between the second to-be-recommended labor outsourcing personnel and the purchasing enterprise specifically includes: if the second association score is higher than the preset association threshold, determining an enterprise association score between the purchasing enterprise and the associated enterprise; compensating the first association score according to the enterprise association score; determining the association degree between the second to-be-recommended labor service outsourcing personnel and the purchasing enterprise according to the compensated first association score; and if the second association score is lower than or equal to the preset association threshold, determining the association degree between the second outsourcing personnel to be recommended and the purchasing enterprise according to the first association score.
In one example, the compensating the first association score according to the enterprise association score specifically includes: determining a corresponding compensation level according to the enterprise associated score; searching the compensation grade in a pre-constructed mapping table to determine a compensation score corresponding to the compensation grade; the higher the compensation level, the higher the compensation score, the larger the compensation score is than 0; and compensating the first association score according to the compensation score.
In one example, the determining, according to the association degree and the purchasing requirement, a labor outsourcing person to be recommended to the purchasing enterprise specifically includes: if the association degree is higher than a preset purchasing association threshold, determining historical project information of the second to-be-recommended labor service outsourcing personnel; matching the history item information with the purchase item, and determining an item association level of the second to-be-recommended labor service outsourcing personnel aiming at the purchase requirement; determining the second to-be-recommended labor outsourcing personnel exceeding the preset project association level as a third to-be-recommended labor outsourcing personnel; if the number of the third labor service outsourcing personnel to be recommended is multiple, selecting the third labor service outsourcing personnel to be recommended, which is smaller than or equal to the number of the required people, as fourth labor service outsourcing personnel to be recommended according to the sequence of the item association level from high to low; generating a to-be-recommended labor outsourcing personnel database of the purchasing enterprise according to the fourth to-be-recommended labor outsourcing personnel; determining a plurality of other purchasing enterprises in the preset period except the purchasing enterprise; performing traversal matching in a fourth to-be-recommended labor outsourcing personnel database of each other purchasing enterprise according to the unique identity of the fourth to-be-recommended labor outsourcing personnel, and determining the other purchasing enterprises with the fourth to-be-recommended labor outsourcing personnel as competing purchasing enterprises; determining the purchasing demand of the purchasing enterprise as a first purchasing demand, and determining the purchasing demand of the competing purchasing enterprise as a second purchasing demand; and determining labor outsourcing personnel to be recommended to the purchasing enterprise according to the first purchasing demand and the second purchasing demand based on the database to be recommended.
In one example, if the item association level of the second to-be-recommended labor outsourcing personnel for the purchase requirement is a first item association level, the determining, based on the to-be-recommended database, the labor outsourcing personnel to be recommended to the purchase enterprise according to the first purchase requirement and the second purchase requirement specifically includes: determining a second project association level for the second purchasing requirement, wherein the second project association level is matched with a fourth to-be-recommended labor service outsourcing personnel; if the first project association level is the same as the second project association level, acquiring personal basic information of the matched fourth to-be-recommended labor service outsourcing personnel; the personal basic information comprises the expected acceptable degree of the residential area and the business trip distance interval of the outsourcing personnel matched with the fourth to-be-recommended labor service; determining a first purchasing region association degree of the fourth to-be-recommended labor service outsourcing personnel for the first purchasing requirement according to the personal basic information; determining a second purchasing region association degree of the matched fourth to-be-recommended labor outsourcing personnel aiming at the second purchasing requirement; and determining labor outsourcing personnel to be recommended for the purchasing enterprise according to the first purchasing area association degree and the second purchasing area association degree based on the database to be recommended.
In one example, the determining, based on the database to be recommended, the labor outsourcing personnel to recommend the purchasing enterprise according to the first purchasing area association degree and the second purchasing area association degree specifically includes: if the association degree of the first purchasing region is lower than that of the second purchasing region, deleting the matched fourth labor service outsourcing personnel to be recommended in the database to be recommended; judging whether the third to-be-recommended labor service outsourcing personnel exceeds the number of the required persons; if yes, selecting an alternative fourth personnel to be recommended from the rest third personnel to be recommended to be covered outside the labor service except the fourth personnel to be recommended; performing traversal matching in a fourth to-be-recommended labor outsourcing personnel database of each other purchasing enterprise according to the identity unique identifier of the alternative fourth to-be-recommended labor outsourcing personnel; if the matching fails, taking the alternative fourth labor service outsourcing personnel to be recommended as fourth labor service outsourcing personnel to be recommended, and storing the fourth labor service outsourcing personnel to be recommended into the database to be recommended; and determining a fourth labor service outsourcing personnel to be recommended in the database to be recommended as the labor service outsourcing personnel to be recommended for the purchasing enterprise.
In one example, the method further comprises: and if the first item association level is higher than the second item association level, or if the first purchasing area association level is higher than or equal to the second purchasing area association level, determining a fourth labor outsourcing personnel to be recommended in the database to be recommended as the labor outsourcing personnel to be recommended for the purchasing enterprise.
In one example, the method further comprises: if the credit score of the first to-be-recommended labor service outsourcing personnel is lower than or equal to the preset score threshold, determining the working time limit of the first to-be-recommended labor service outsourcing personnel; if the working time limit is smaller than a preset time limit threshold, acquiring the learning level of the first to-be-recommended labor service outsourcing personnel; determining a credit point compensation value of the first to-be-recommended labor service outsourcing personnel according to the academic grade; the higher the learning level, the higher the credit score compensation value, the greater the credit score compensation value is 0; and compensating the credit points according to the credit point compensation value.
In another aspect, an embodiment of the present application provides a recommendation device for a labor outsourcing personnel, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to: acquiring purchasing requirements corresponding to a plurality of purchasing enterprises respectively in a preset period; the purchasing requirements comprise the number of required persons, purchasing projects, purchasing areas and purchasing time; extracting semantic keywords from the purchase items, and determining the labor outsourcing type of the purchase enterprises; determining a plurality of first labor outsourcing personnel to be recommended corresponding to the labor outsourcing type; acquiring credit points of the first to-be-recommended labor service outsourcing personnel; the credit points are used for representing the working trust degree of the first to-be-recommended labor outsourcing personnel in the historical purchasing demands; the higher the credit score is, the more the working capacity of the first to-be-recommended labor outsourcing personnel can be over the historical purchasing demand; determining a plurality of second outsourcing personnel to be recommended for working, wherein the second outsourcing personnel to be recommended exceed a preset integral threshold; determining the association degree between the second labor service outsourcing personnel to be recommended and the purchasing enterprise according to a pre-established enterprise relationship map; the higher the association degree is, the higher the familiarity degree of the service field between the second to-be-recommended labor outsourcing personnel and the purchasing enterprise is; and determining labor outsourcing personnel to be recommended to the purchasing enterprise according to the association degree and the purchasing demand.
The above at least one technical scheme adopted by the embodiment of the application can achieve the following beneficial effects:
the method and the system can determine a plurality of first to-be-recommended labor outsourcing personnel corresponding to the labor outsourcing type based on the purchasing demands of the purchasing enterprises, select the second to-be-recommended labor outsourcing personnel which can be expected to be qualified for the purchasing demands by combining the credit points of the first to-be-recommended labor outsourcing personnel, continuously pass through the enterprise relationship map, and determine the labor outsourcing personnel recommending the purchasing enterprises by combining the purchasing demands from the familiarity degree aiming at the enterprise business field, so that the most suitable labor outsourcing personnel are finally recommended for the purchasing enterprises in the current period, and finally the accuracy of the labor outsourcing personnel is improved.
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In order to more clearly illustrate the technical solution of the present application, some embodiments of the present application will be described in detail below with reference to the accompanying drawings, in which:
fig. 1 is a flow chart of a method for recommending labor outsourcing personnel according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a recommending device for outsourcing personnel of labor service according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a flow chart of a method for recommending labor outsourcing personnel according to an embodiment of the present application. The method can be applied to different business fields, such as the internet financial business field, the electric business field, the instant messaging business field, the game business field, the public business field and the like. Some of the input parameters or intermediate results in the flow allow for manual intervention adjustments to help improve accuracy.
The implementation of the analysis method according to the embodiment of the present application may be a terminal device or a server, which is not particularly limited in the present application. For ease of understanding and description, the following embodiments are described in detail with reference to a server.
It should be noted that the server may be a single device, or may be a system formed by a plurality of devices, that is, a distributed server, which is not particularly limited in the present application.
The flow in fig. 1 includes the following steps:
s101: acquiring purchasing requirements corresponding to a plurality of purchasing enterprises respectively in a preset period; the purchasing requirements comprise the number of people required, purchasing projects, purchasing areas and purchasing time.
In order to avoid that the labor outsourcing personnel cannot be distributed in a balanced manner due to different time of the purchasing enterprise issuing the purchasing demand, the labor outsourcing personnel are not immediately recommended for the purchasing enterprise after the purchasing enterprise issues the purchasing demand. But a period for recommendation analysis is set in advance so that purchasing demands issued in the current period are acquired for each recommendation analysis. For example, the preset period is 2 days.
S102: and extracting semantic keywords from the purchase item, and determining the labor outsourcing type of the purchase enterprise.
Because different purchase items correspond to different labor outsourcing types and the purchase items have different keywords, the purchase items are analyzed through semantic analysis rules to obtain semantic keywords, so that the semantic keywords are matched in a preset semantic mapping table, and the labor outsourcing type of a purchase enterprise is determined. That is, the semantic mapping table includes a mapping relationship between the semantic keywords and the labor outsourcing type.
For example, the purchase item is a natural resource business department outsourcing requirement research and development management department outsourcing requirement, or a line research application research and development department data engineer outsourcing requirement, when the natural resource business department outsourcing requirement research and development management department outsourcing requirement is met, the corresponding semantic keyword can be the natural resource business department and the research and development management department, and the labor outsourcing type can be the research and development management personnel. When data engineers are outsourced for the research and development department of the research and development application, the corresponding semantic keywords can be data engineers, and the corresponding labor outsourcing types can be data engineers.
It should be noted that, the semantic analysis rule may be set according to actual needs, for example, a semantic keyword extraction neural network model is constructed in advance. When the neural network model is constructed, firstly, sample purchase items are obtained, then sample keywords of the sample purchase items are used as labels, the sample purchase items are used as inputs, and the initial neural network architecture is subjected to supervised training, so that the semantic keyword extraction neural network model is obtained.
S103: and determining a plurality of first labor outsourcing personnel to be recommended corresponding to the labor outsourcing type.
When the user uploads the information of the labor service outsourcing personnel to the labor service platform, the user marks the labor service outsourcing type of the labor service outsourcing personnel based on the information of the labor service outsourcing personnel.
It should be noted that the labor service platform is provided with a plurality of uniformly described labor service outsourcing types, and the user can select the corresponding labor service outsourcing types through the provided selection frame.
It should be noted that, there are usually more labor outsourcers on the labor platform, so the labor outsourcing type will have a corresponding plurality of first labor outsourcers to be recommended. However, there still exists a labor outsourcing type that has only one first labor outsourcer to be recommended, and even no first labor outsourcer to be recommended, in the current period.
For this case, when there is a first outsourcer to be recommended, S104 is continued. When the first labor outsourcing personnel to be recommended is not available, the labor outsourcing personnel of the purchasing enterprise are not recommended in the current period.
S104: acquiring credit points of the first to-be-recommended labor service outsourcing personnel; the credit points are used for representing the working trust degree of the first to-be-recommended labor outsourcing personnel in the historical purchasing demands.
The higher the credit score, the more the working capacity of the first outsourcer to be recommended can be qualified for the historical purchasing demand.
The credit points can be obtained by scoring the first to-be-recommended labor service outsourcing personnel according to the historical purchasing enterprises of the historical purchasing demands and scoring the manager of the labor service platform based on the work performance of the first to-be-recommended labor service outsourcing personnel.
S105: a plurality of second outsourcing personnel to be recommended for the labor service exceeding a preset integral threshold is determined.
In some embodiments of the application, the shorter working period is due to the presence of outsourcers of labor, such as just graduation to work. Thus, this would result in little historical purchasing demand by the outsourcer of the labor service, which would result in a lower credit score, but the outsourcer of the labor service may actually have the ability to assume the purchasing needs of the purchasing enterprise.
Based on the above, if the credit score of the first to-be-recommended labor service outsourcing personnel is lower than or equal to the preset score threshold, determining the working time limit of the first to-be-recommended labor service outsourcing personnel.
And if the working time limit is smaller than the preset time limit threshold, acquiring the learning level of the first outsourcing personnel to be recommended. And determining a credit point compensation value of the first to-be-recommended labor service outsourcing personnel according to the learning class. And compensating the credit points according to the credit point compensation value.
The higher the learning level, the higher the credit score compensation value, and the credit score compensation value is greater than 0. The learning level may be retrieved in a pre-constructed credit score compensation mapping table to determine a compensation score corresponding to the learning level.
And if the working time limit is greater than or equal to the preset time limit threshold, no credit points of the first outsourcing personnel to be recommended are compensated.
S106: and determining the association degree between the second to-be-recommended labor outsourcing personnel and the purchasing enterprise according to a pre-constructed enterprise relationship map.
The higher the association degree is, the higher the familiarity degree between the second outsourcing personnel to be recommended for the labor service and the purchasing enterprise is.
In some embodiments of the present application, if the labor outsourcer had previously cooperated with the purchasing enterprise, the labor outsourcer would be relatively familiar with the business area of the purchasing enterprise, and the purchasing enterprise would be relatively familiar with the labor outsourcer. The trust between the outsourcing personnel and the purchasing enterprise is increased, and the running-in time of the outsourcing personnel for the purchasing enterprise is reduced.
Based on the first association score of the second to-be-recommended labor outsourcing personnel and the purchasing enterprise is determined in the labor outsourcing records of the second to-be-recommended labor outsourcing personnel.
The user marks the first association scores of the second to-be-recommended labor outsourcing personnel at regular intervals according to the historic purchasing enterprises of the second to-be-recommended labor outsourcing personnel, and stores the first association scores to the labor outsourcing records of the second to-be-recommended labor outsourcing personnel.
If the first association score is higher than or equal to the preset association threshold, the fact that the second to-be-recommended labor outsourcing personnel and the purchasing enterprise have excessive project cooperation is indicated, and therefore the first association score is directly determined to be the association degree between the second to-be-recommended labor outsourcing personnel and the purchasing enterprise.
It should be noted that, if the first association score is lower than the preset association threshold, it is indicated that the number of cooperations between the second outsourcing personnel to be recommended and the purchasing enterprise is less, or even no cooperations exist. However, there is a correlation between enterprises. Such as a correlation in business fields between two enterprises, a correlation between project collaboration, etc. The degree of correlation of the service areas can be considered whether the service areas are mostly the same or whether the service areas are in an upstream-downstream relationship. Generally, two enterprises with project collaboration, the business segment is also relevant.
For this situation, if the number of cooperations between the second to-be-recommended labor outsourcing personnel and the associated enterprise of the purchasing enterprise is relatively large, the situation that the second to-be-recommended labor outsourcing personnel can be familiar with the business field of the purchasing enterprise is reflected from the side surface.
Based on the above, if the first association score is lower than the preset association threshold, determining an associated enterprise of the purchasing enterprise in the pre-constructed enterprise relationship graph.
It should be noted that, according to the correlation of the business fields between two enterprises, the correlation between project cooperation is used as the edge of the relationship graph, and each purchasing enterprise of the labor platform is used as a node to generate the enterprise relationship graph of the labor platform.
Wherein, the business field between the purchasing enterprise and the association enterprise has association relation.
And then, determining a second association score of the second to-be-recommended labor outsourcing personnel and the association enterprise in the labor outsourcing record of the second to-be-recommended labor outsourcing personnel.
And determining the association degree between the second to-be-recommended labor service outsourcing personnel and the purchasing enterprise according to the first association score and the second association score.
Further, if the second association score is higher than the preset association threshold, the association degree between the second labor outsourcing personnel to be recommended and the associated enterprise is higher. Then the degree of enterprise association between the purchasing enterprise and the associated enterprise may continue to be considered at this point to determine a degree of compensation for the first association score.
Accordingly, the enterprise association score between the purchasing enterprise and the associated enterprise continues to be determined. The first association score is then compensated based on the enterprise association score. And finally, determining the association degree between the second outsourcing personnel to be recommended and the purchasing enterprise according to the compensated first association score.
When compensating the first association score, determining a corresponding compensation grade according to the enterprise association score. Then, in the pre-constructed mapping table, the compensation level is retrieved to determine the compensation score corresponding to the compensation level. The higher the compensation level, the higher the compensation score, which is greater than 0. And finally, compensating the first association score according to the compensation score.
If the second association score is lower than or equal to the preset association threshold, the association degree between the second to-be-recommended labor outsourcing personnel and the associated enterprises is lower, and the association degree between the second to-be-recommended labor outsourcing personnel and the purchasing enterprises is determined directly according to the first association score.
S107: and determining labor outsourcing personnel to be recommended to the purchasing enterprise according to the association degree and the purchasing demand.
In some embodiments of the present application, when the association degree between the second labor outsourcing personnel to be recommended and the purchasing enterprise is higher than the preset purchasing association threshold, the second labor outsourcing personnel to be recommended is relatively matched with the purchasing enterprise from the aspect of the enterprise. And then, continuing to consider from the point of view of the current purchase item, wherein the matching relationship between the second labor outsourcing personnel to be recommended and the current purchase item.
Based on the above, if the association degree is higher than a preset purchasing association threshold, determining the historical project information of the second to-be-recommended labor outsourcing personnel.
It should be noted that, if the association degree is lower than or equal to the preset purchasing association threshold, the service domain familiarity degree between the second to-be-recommended labor service outsourcing personnel and the purchasing enterprise is relatively low, the working life of the second to-be-recommended labor service outsourcing personnel is judged, and if the working life is greater than the preset time limit threshold, the purchasing enterprise is not recommended. If the working time limit is smaller than the preset time limit threshold, generating historical project information of the second to-be-recommended labor service outsourcing personnel according to the learning information of the second to-be-recommended labor service outsourcing personnel and the personal profession and campus project experience information.
And then, matching the historical project information with the purchasing project, and determining the project association level of the second to-be-recommended labor service outsourcing personnel aiming at the purchasing requirement. And then, determining the second to-be-recommended labor outsourcing personnel exceeding the association level of the preset project as a third to-be-recommended labor outsourcing personnel.
That is, the third outsourcing personnel to be recommended not only has higher association degree with the purchasing enterprise, but also has higher matching degree with the purchasing project.
Since there may be only one third outsourcer for recommended labor service, the third outsourcer for recommended labor service is directly used as the fourth outsourcer for recommended labor service.
If the number of the third to-be-recommended labor service outsourcing personnel is multiple, selecting the third to-be-recommended labor service outsourcing personnel smaller than or equal to the required number of people as fourth to-be-recommended labor service outsourcing personnel according to the sequence of the project association level from high to low.
And then, generating a to-be-recommended labor outsourcing personnel database of the purchasing enterprise according to the fourth to-be-recommended labor outsourcing personnel.
After determining that the fourth to-be-recommended labor outsourcing personnel is relatively matched with the current purchasing item, since other purchasing enterprises exist in the current period, in order to provide the most suitable labor outsourcing personnel for each purchasing enterprise, the matching relationship between the fourth to-be-recommended labor outsourcing personnel and other purchasing enterprises and purchasing items in the other purchasing enterprises is continuously considered.
Then, a plurality of other purchasing enterprises than the purchasing enterprise within the preset period is determined.
And then, performing traversal matching in a fourth to-be-recommended labor outsourcing personnel database of each other purchasing enterprise according to the unique identity of the fourth to-be-recommended labor outsourcing personnel, and determining the other purchasing enterprises with the fourth to-be-recommended labor outsourcing personnel as competing purchasing enterprises. The unique identity of the fourth labor service outsourcing personnel to be recommended is an identity card number.
It is appreciated that the purchasing enterprise is relatively similar to the business domain of competing purchasing enterprises.
Then, the purchasing demand of the purchasing enterprise is determined as a first purchasing demand, and the purchasing demand of the competing purchasing enterprise is determined as a second purchasing demand.
Accordingly, based on the database to be recommended, labor outsourcers to be recommended to the purchasing enterprise are determined according to the first purchasing demand and the second purchasing demand.
Further, a second item association level is determined that matches a fourth to-be-recommended labor outsourcer for the second purchase demand.
If the first item association level is the same as the second item association level, the fourth to-be-recommended labor outsourcing personnel are matched to have experience in purchasing the items in the first purchasing demand and experience in purchasing the items in the second purchasing demand.
In order to make the labor outsourcing personnel have more work enthusiasm, the personal wish of the labor outsourcing personnel is properly considered.
Based on the information, personal basic information matched with the fourth to-be-recommended labor outsourcing personnel is obtained. The personal basic information comprises expected acceptability of the residential area and business trip distance interval matched with the fourth to-be-recommended labor outsourcing personnel.
And then, according to the personal basic information, determining a first purchasing region association degree of the fourth to-be-recommended labor outsourcing personnel aiming at the first purchasing requirement. And determining a second purchasing region association degree of the fourth to-be-recommended labor outsourcing personnel aiming at the second purchasing requirement.
And determining labor outsourcing personnel to be recommended to the purchasing enterprise according to the association degree of the first purchasing region and the second purchasing region based on the database to be recommended.
Further, if the association degree of the first purchasing area is lower than that of the second purchasing area, the personal wish of the outsourcing personnel matched with the fourth to-be-recommended labor service is biased to compete purchasing enterprises.
Therefore, the outsourcing personnel matched with the fourth to-be-recommended labor service are deleted in the to-be-recommended database.
After analysis from the viewpoint of purchasing enterprises and purchasing projects, the number of people in need of purchasing enterprises is continuously considered.
Based on the information, whether the third to-be-recommended labor outsourcing personnel exceeds the number of required people is judged.
If the number of the third to-be-recommended labor service outsourcing personnel does not exceed the number of the required personnel, recommending the fourth to-be-recommended labor service outsourcing personnel in the current to-be-recommended database to the purchasing enterprise, and determining one or more fourth to-be-recommended labor service outsourcing personnel still required to be recommended by the purchasing enterprise in the next period.
It can be appreciated that, because the third to-be-recommended labor outsourcing personnel smaller than or equal to the required number of people is selected as the fourth to-be-recommended labor outsourcing personnel, the number of the fourth to-be-recommended labor outsourcing personnel is not necessarily required to meet the required number of people initially.
And if the number of the third to-be-recommended labor service outsourcing personnel exceeds the number of the required personnel, selecting an alternative fourth to-be-recommended personnel from the rest of the third to-be-recommended labor service outsourcing personnel except the fourth to-be-recommended personnel. And then, performing traversal matching in a fourth to-be-recommended labor outsourcing personnel database of each other purchasing enterprise according to the identity unique identifier of the alternative fourth to-be-recommended labor outsourcing personnel.
If the matching fails, taking the alternative fourth labor service outsourcing personnel to be recommended as the fourth labor service outsourcing personnel to be recommended, and storing the fourth labor service outsourcing personnel to be recommended into a database to be recommended, so that the fourth labor service outsourcing personnel to be recommended in the database to be recommended are determined to be the labor service outsourcing personnel to be recommended for the purchasing enterprise.
If the matching is successful, continuing to analyze the candidate fourth to-be-recommended labor outsourcing personnel from the purchasing project and the number of people in need of the purchasing enterprise, performing the analysis step by referring to the description of the matching fourth to-be-recommended labor outsourcing personnel, and performing the circulation until the rest third to-be-recommended labor outsourcing personnel are not available or the candidate fourth to-be-recommended personnel with the matching failure is determined, and stopping the recommendation of the labor outsourcing personnel of the purchasing enterprise in the current period.
It should be noted that, if the association level of the first item is higher than the association level of the second item, or if the association level of the first purchasing region is higher than or equal to the association level of the second purchasing region, determining a fourth labor outsourcing personnel to be recommended in the database to be recommended as the labor outsourcing personnel to be recommended to the purchasing enterprise.
It should be noted that, although the embodiment of the present application is described with reference to fig. 1 to sequentially describe steps S101 to S107, this does not represent that steps S101 to S107 must be performed in strict order. The steps S101 to S107 are sequentially described according to the sequence shown in fig. 1 in order to facilitate the understanding of the technical solution of the embodiment of the present application by those skilled in the art. In other words, in the embodiment of the present application, the sequence between the steps S101 to S107 may be appropriately adjusted according to the actual needs.
By the method of fig. 1, a plurality of first to-be-recommended labor outsourcers corresponding to the labor outsourcing type can be determined based on the purchasing demands of purchasing enterprises, the credit points of the first to-be-recommended labor outsourcers are combined, the second to-be-recommended labor outsourcers with expected working capacity capable of meeting purchasing demands are selected, the labor outsourcers recommended to the purchasing enterprises are determined by continuing to pass through the enterprise relationship map, starting from the familiarity degree aiming at the enterprise business field and combining the purchasing demands, so that the most suitable labor outsourcers are finally recommended to the purchasing enterprises in the current period, and the accuracy of the labor outsourcers is finally improved.
Based on the same thought, some embodiments of the present application also provide a device and a non-volatile computer storage medium corresponding to the above method.
Fig. 2 is a schematic structural diagram of a recommending device for labor outsourcing personnel according to an embodiment of the present application, including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
Acquiring purchasing requirements corresponding to a plurality of purchasing enterprises respectively in a preset period; the purchasing requirements comprise the number of required persons, purchasing projects, purchasing areas and purchasing time;
extracting semantic keywords from the purchase items, and determining the labor outsourcing type of the purchase enterprises;
determining a plurality of first labor outsourcing personnel to be recommended corresponding to the labor outsourcing type;
acquiring credit points of the first to-be-recommended labor service outsourcing personnel; the credit points are used for representing the working trust degree of the first to-be-recommended labor outsourcing personnel in the historical purchasing demands; the higher the credit score is, the more the working capacity of the first to-be-recommended labor outsourcing personnel can be over the historical purchasing demand;
determining a plurality of second outsourcing personnel to be recommended for working, wherein the second outsourcing personnel to be recommended exceed a preset integral threshold;
determining the association degree between the second labor service outsourcing personnel to be recommended and the purchasing enterprise according to a pre-established enterprise relationship map; the higher the association degree is, the higher the familiarity degree of the service field between the second to-be-recommended labor outsourcing personnel and the purchasing enterprise is;
and determining labor outsourcing personnel to be recommended to the purchasing enterprise according to the association degree and the purchasing demand.
Some embodiments of the present application provide a recommended non-volatile computer storage medium for outsourcing personnel of a labor service, storing computer-executable instructions configured to:
acquiring purchasing requirements corresponding to a plurality of purchasing enterprises respectively in a preset period; the purchasing requirements comprise the number of required persons, purchasing projects, purchasing areas and purchasing time;
extracting semantic keywords from the purchase items, and determining the labor outsourcing type of the purchase enterprises;
determining a plurality of first labor outsourcing personnel to be recommended corresponding to the labor outsourcing type;
acquiring credit points of the first to-be-recommended labor service outsourcing personnel; the credit points are used for representing the working trust degree of the first to-be-recommended labor outsourcing personnel in the historical purchasing demands; the higher the credit score is, the more the working capacity of the first to-be-recommended labor outsourcing personnel can be over the historical purchasing demand;
determining a plurality of second outsourcing personnel to be recommended for working, wherein the second outsourcing personnel to be recommended exceed a preset integral threshold;
determining the association degree between the second labor service outsourcing personnel to be recommended and the purchasing enterprise according to a pre-established enterprise relationship map; the higher the association degree is, the higher the familiarity degree of the service field between the second to-be-recommended labor outsourcing personnel and the purchasing enterprise is;
And determining labor outsourcing personnel to be recommended to the purchasing enterprise according to the association degree and the purchasing demand.
The embodiments of the present application are described in a progressive manner, and the same and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from the other embodiments. In particular, for the apparatus and medium embodiments, the description is relatively simple, as it is substantially similar to the method embodiments, with reference to the section of the method embodiments being relevant.
The devices and media provided in the embodiments of the present application are in one-to-one correspondence with the methods, so that the devices and media also have similar beneficial technical effects as the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media are not repeated here.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the technical principle of the present application should fall within the protection scope of the present application.
Claims (10)
1. A method for recommending outsourcing personnel for labor service, the method comprising:
acquiring purchasing requirements corresponding to a plurality of purchasing enterprises respectively in a preset period; the purchasing requirements comprise the number of required persons, purchasing projects, purchasing areas and purchasing time;
Extracting semantic keywords from the purchase items, and determining the labor outsourcing type of the purchase enterprises;
determining a plurality of first labor outsourcing personnel to be recommended corresponding to the labor outsourcing type;
acquiring credit points of the first to-be-recommended labor service outsourcing personnel; the credit points are used for representing the working trust degree of the first to-be-recommended labor outsourcing personnel in the historical purchasing demands; the higher the credit score is, the more the working capacity of the first to-be-recommended labor outsourcing personnel can be over the historical purchasing demand;
determining a plurality of second outsourcing personnel to be recommended for working, wherein the second outsourcing personnel to be recommended exceed a preset integral threshold;
determining the association degree between the second labor service outsourcing personnel to be recommended and the purchasing enterprise according to a pre-established enterprise relationship map; the higher the association degree is, the higher the familiarity degree of the service field between the second to-be-recommended labor outsourcing personnel and the purchasing enterprise is;
and determining labor outsourcing personnel to be recommended to the purchasing enterprise according to the association degree and the purchasing demand.
2. The method according to claim 1, wherein the determining the association degree between the second outsourcing personnel to be recommended and the purchasing enterprise according to the pre-established enterprise relationship map specifically comprises:
Determining a first association score of the second to-be-recommended labor outsourcing personnel and the purchasing enterprise in the labor outsourcing record of the second to-be-recommended labor outsourcing personnel;
if the first association score is lower than a preset association threshold, determining an association enterprise of the purchasing enterprise in a pre-established enterprise relationship graph; the business field between the purchasing enterprise and the association enterprise has an association relation;
determining a second association score of the second to-be-recommended labor outsourcing personnel and the association enterprise in the labor outsourcing record of the second to-be-recommended labor outsourcing personnel;
and determining the association degree between the second labor outsourcing personnel to be recommended and the purchasing enterprise according to the first association score and the second association score.
3. The method according to claim 2, wherein the determining the degree of association between the second outsourcing personnel to be recommended and the purchasing enterprise according to the first association score and the second association score specifically comprises:
if the second association score is higher than the preset association threshold, determining an enterprise association score between the purchasing enterprise and the associated enterprise;
Compensating the first association score according to the enterprise association score;
determining the association degree between the second to-be-recommended labor service outsourcing personnel and the purchasing enterprise according to the compensated first association score;
and if the second association score is lower than or equal to the preset association threshold, determining the association degree between the second outsourcing personnel to be recommended and the purchasing enterprise according to the first association score.
4. A method according to claim 3, wherein said compensating said first associated score according to said enterprise associated score comprises:
determining a corresponding compensation level according to the enterprise associated score;
searching the compensation grade in a pre-constructed mapping table to determine a compensation score corresponding to the compensation grade; the higher the compensation level, the higher the compensation score, the larger the compensation score is than 0;
and compensating the first association score according to the compensation score.
5. The method of claim 1, wherein the determining the labor outsourcers to recommend the purchasing enterprise based on the association degree and the purchasing demand, specifically comprises:
If the association degree is higher than a preset purchasing association threshold, determining historical project information of the second to-be-recommended labor service outsourcing personnel;
matching the history item information with the purchase item, and determining an item association level of the second to-be-recommended labor service outsourcing personnel aiming at the purchase requirement;
determining the second to-be-recommended labor outsourcing personnel exceeding the preset project association level as a third to-be-recommended labor outsourcing personnel;
if the number of the third labor service outsourcing personnel to be recommended is multiple, selecting the third labor service outsourcing personnel to be recommended, which is smaller than or equal to the number of the required people, as fourth labor service outsourcing personnel to be recommended according to the sequence of the item association level from high to low;
generating a to-be-recommended labor outsourcing personnel database of the purchasing enterprise according to the fourth to-be-recommended labor outsourcing personnel;
determining a plurality of other purchasing enterprises in the preset period except the purchasing enterprise;
performing traversal matching in a fourth to-be-recommended labor outsourcing personnel database of each other purchasing enterprise according to the unique identity of the fourth to-be-recommended labor outsourcing personnel, and determining the other purchasing enterprises with the fourth to-be-recommended labor outsourcing personnel as competing purchasing enterprises;
Determining the purchasing demand of the purchasing enterprise as a first purchasing demand, and determining the purchasing demand of the competing purchasing enterprise as a second purchasing demand;
and determining labor outsourcing personnel to be recommended to the purchasing enterprise according to the first purchasing demand and the second purchasing demand based on the database to be recommended.
6. The method of claim 5, wherein if the item association level of the second to-be-recommended labor outsourcer for the purchase demand is a first item association level, the determining, based on the to-be-recommended database, labor outsourcers to be recommended to the purchasing enterprise according to the first purchase demand and the second purchase demand, specifically comprises:
determining a second project association level for the second purchasing requirement, wherein the second project association level is matched with a fourth to-be-recommended labor service outsourcing personnel;
if the first project association level is the same as the second project association level, acquiring personal basic information of the matched fourth to-be-recommended labor service outsourcing personnel; the personal basic information comprises the expected acceptable degree of the residential area and the business trip distance interval of the outsourcing personnel matched with the fourth to-be-recommended labor service;
Determining a first purchasing region association degree of the fourth to-be-recommended labor service outsourcing personnel for the first purchasing requirement according to the personal basic information; determining a second purchasing region association degree of the matched fourth to-be-recommended labor outsourcing personnel aiming at the second purchasing requirement;
and determining labor outsourcing personnel to be recommended for the purchasing enterprise according to the first purchasing area association degree and the second purchasing area association degree based on the database to be recommended.
7. The method of claim 6, wherein the determining, based on the database to be recommended, labor outsourcers to recommend the purchasing enterprise according to the first purchasing area association degree and the second purchasing area association degree, specifically comprises:
if the association degree of the first purchasing region is lower than that of the second purchasing region, deleting the matched fourth labor service outsourcing personnel to be recommended in the database to be recommended;
judging whether the third to-be-recommended labor service outsourcing personnel exceeds the number of the required persons;
if yes, selecting an alternative fourth personnel to be recommended from the rest third personnel to be recommended to be covered outside the labor service except the fourth personnel to be recommended;
Performing traversal matching in a fourth to-be-recommended labor outsourcing personnel database of each other purchasing enterprise according to the identity unique identifier of the alternative fourth to-be-recommended labor outsourcing personnel;
if the matching fails, taking the alternative fourth labor service outsourcing personnel to be recommended as fourth labor service outsourcing personnel to be recommended, and storing the fourth labor service outsourcing personnel to be recommended into the database to be recommended;
and determining a fourth labor service outsourcing personnel to be recommended in the database to be recommended as the labor service outsourcing personnel to be recommended for the purchasing enterprise.
8. The method of claim 6, wherein the method further comprises:
and if the first item association level is higher than the second item association level, or if the first purchasing area association level is higher than or equal to the second purchasing area association level, determining a fourth labor outsourcing personnel to be recommended in the database to be recommended as the labor outsourcing personnel to be recommended for the purchasing enterprise.
9. The method according to claim 1, wherein the method further comprises:
if the credit score of the first to-be-recommended labor service outsourcing personnel is lower than or equal to the preset score threshold, determining the working time limit of the first to-be-recommended labor service outsourcing personnel;
If the working time limit is smaller than a preset time limit threshold, acquiring the learning level of the first to-be-recommended labor service outsourcing personnel;
determining a credit point compensation value of the first to-be-recommended labor service outsourcing personnel according to the academic grade; the higher the learning level, the higher the credit score compensation value, the greater the credit score compensation value is 0;
and compensating the credit points according to the credit point compensation value.
10. A recommendation device for outsourcing personnel of a labor service, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring purchasing requirements corresponding to a plurality of purchasing enterprises respectively in a preset period; the purchasing requirements comprise the number of required persons, purchasing projects, purchasing areas and purchasing time;
extracting semantic keywords from the purchase items, and determining the labor outsourcing type of the purchase enterprises;
determining a plurality of first labor outsourcing personnel to be recommended corresponding to the labor outsourcing type;
Acquiring credit points of the first to-be-recommended labor service outsourcing personnel; the credit points are used for representing the working trust degree of the first to-be-recommended labor outsourcing personnel in the historical purchasing demands; the higher the credit score is, the more the working capacity of the first to-be-recommended labor outsourcing personnel can be over the historical purchasing demand;
determining a plurality of second outsourcing personnel to be recommended for working, wherein the second outsourcing personnel to be recommended exceed a preset integral threshold;
determining the association degree between the second labor service outsourcing personnel to be recommended and the purchasing enterprise according to a pre-established enterprise relationship map; the higher the association degree is, the higher the familiarity degree of the service field between the second to-be-recommended labor outsourcing personnel and the purchasing enterprise is;
and determining labor outsourcing personnel to be recommended to the purchasing enterprise according to the association degree and the purchasing demand.
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