CN112734598A - Method for establishing outsourcing platform model, outsourcing party searching method and device - Google Patents
Method for establishing outsourcing platform model, outsourcing party searching method and device Download PDFInfo
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- 238000005065 mining Methods 0.000 claims abstract description 16
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Abstract
The invention relates to the technical field of big data processing, in particular to a method for establishing an outsourcing platform model, an outsourcing party searching method and a device, wherein the method comprises the following steps: acquiring outsourcer information of at least one outsourcer for representing the outsourcer capability; mining each outsourcer information through a machine learning algorithm to obtain associated information associated with the outsourcer information; respectively evaluating the capacity of each outsourcer based on the outsourcer information and the associated information to obtain an evaluation result of each outsourcer; and establishing the outsourcing platform model based on all the obtained evaluation results. In the invention, the user can search the outsourcing party and the evaluation result of the outsourcing party according to the outsourcing platform model, so that the outsourcing capability of the outsourcing party can be accurately known, and the user can conveniently and quickly and accurately position the required outsourcing party.
Description
Technical Field
The invention relates to the technical field of big data processing, in particular to a method for establishing an outsourcing platform model, and an outsourcing party searching method and device.
Background
Currently, the outsourcing service industry is in a rapid development stage. From the viewpoint of business category, outsourcing services mainly Include Technical Outsourcing (ITO), Business Process Outsourcing (BPO), and Knowledge Process Outsourcing (KPO). In recent years, with the help of new-generation information technologies such as cloud computing, big data, internet of things and mobile internet, the rapid development of an internet and service outsourcing mode is promoted, and service outsourcing enterprises are steadily transformed to high-technology and high-value-added services.
In the outsourcing service, a client outsources the service to an outsourcing client for processing. With the rapid development of outsourcing service industry, a large number of outsourcing parties are available for the selection of entrusting parties. In the face of a large number of outsourcing parties, the entrusters are often difficult to select from, and the required outsourcing parties cannot be quickly and accurately positioned.
Disclosure of Invention
In view of the above, the present invention is proposed to provide a method for building an outsourcing platform model, an outsourcing party searching method and apparatus, which overcome the above problems or at least partially solve the above problems.
According to a first aspect of the present invention, there is provided a method of building an outsourcing platform model, the method comprising:
acquiring outsourcer information of at least one outsourcer for representing the outsourcer capability;
mining each outsourcer information through a machine learning algorithm to obtain associated information associated with the outsourcer information;
respectively evaluating the capacity of each outsourcer based on the outsourcer information and the associated information to obtain an evaluation result of each outsourcer;
and establishing the outsourcing platform model based on all the obtained evaluation results.
Preferably, after the acquiring outsourcer information of at least one outsourcer for characterizing the outsourcer capability and before the mining processing of each outsourcer information by the machine learning algorithm, the method further comprises:
and carrying out data standardization processing on the outsourcing party information.
Preferably, the outsourcer information includes at least one of response time, industry service capability, annual income amount, technology development capability, customer satisfaction, outsource contract signing condition, service delivery condition, industry reputation, enterprise stability, outsource category and cooperation coordination.
Preferably, the evaluating the capability of each outsourcer separately to obtain the evaluation result of each outsourcer includes at least one of the following methods:
the capacity of the outsourcing party is integrally evaluated to obtain a comprehensive evaluation result of the outsourcing party;
based on a preset evaluation project, performing special evaluation on the capacity of the outsourcer to obtain a special evaluation result of the outsourcer, wherein the special evaluation result corresponds to the preset evaluation project;
and performing industry evaluation on the capacity of the outsourcing party based on a preset evaluation industry to obtain an industry evaluation result of the outsourcing party corresponding to the preset evaluation industry.
According to a second aspect of the present invention, there is provided an outsourcer searching method, applying the outsourcer platform model established by the method of the first aspect, the method comprising:
acquiring a search condition of a user;
determining a target outsourcing party corresponding to the search condition from the outsourcing platform model based on the search condition, and acquiring an evaluation result of the target outsourcing party from the outsourcing platform model;
and displaying the target outsourcing party and the evaluation result of the target outsourcing party to the user.
Preferably, if there are a plurality of target outsourcers, after obtaining the evaluation result of the target outsourcer from the outsourcing platform model, the method further includes:
sequencing all the target outsourcing parties based on the evaluation results of all the target outsourcing parties to obtain sequencing results for representing the magnitude relation among the evaluation results;
and displaying the sequencing result to the user.
According to a third aspect of the present invention, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the method steps as in the first and second aspects described above.
According to a fourth aspect of the present invention, there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method steps as in the first and second aspects when executing the program.
According to the method and the device for establishing the outsourcing platform model, the outsourcing party information of at least one outsourcing party for representing the capacity of the outsourcing party is obtained. And mining each outsourcer information through a machine learning algorithm to obtain associated information associated with the outsourcer information. And then evaluating the capability of each outsourcer respectively based on the outsourcer information and the associated information to obtain an evaluation result of each outsourcer. And finally, establishing an outsourcing platform model based on all the obtained evaluation results. The user can seek outsourcing side and outsourcing side's aassessment result according to this outsourcing platform model to can accurately know the outsourcing ability of outsourcing side, be convenient for the user to fix a position required outsourcing side fast and accurately.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart illustrating a method of building an outsourcing platform model according to a first embodiment of the present invention;
FIG. 2 shows a flow chart of a outsourcer lookup method in a second embodiment of the invention;
FIG. 3 is a block diagram showing an apparatus for creating an outsourcing platform model according to a third embodiment of the present invention;
FIG. 4 is a block diagram showing the outsourcer lookup means in a fourth embodiment of the present invention;
fig. 5 shows a block diagram of an apparatus in an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The first embodiment of the invention provides a method for establishing an outsourcing platform model, which is applied to the process that a user selects an outsourcing party.
Referring to fig. 1, a method for establishing an outsourcing platform model according to an embodiment of the present invention includes:
step 101: outsourcer information for at least one outsourcer for characterizing outsourcer capabilities is obtained.
Step 102: and mining each outsourcer information through a machine learning algorithm to obtain associated information associated with the outsourcer information.
Step 103: and evaluating the capability of each outsourcer respectively based on the outsourcer information and the associated information to obtain an evaluation result of each outsourcer.
Step 104: and establishing an outsourcing platform model based on all the obtained evaluation results.
In step 101, in the outsourcing service industry, the client is a party seeking a company to process a target business, and the outsourcing party is a party receiving the target business requested by the client and processing the target business. The user in this document may be a client, or may also be an intermediary company holding the situation of multiple outsourcers, and the outsource platform model of the embodiment of the present invention may be used to search for a matched outsourcer for the client. In the embodiment of the present invention, outsourcing party information of an outsourcing party is obtained, wherein outsourcing party information of one outsourcing party can be obtained, and in order to enrich the data content of the outsourcing platform model, it is preferable that outsourcing party information from a plurality of outsourcing parties be obtained, that is, outsourcing party information of each of the outsourcing parties is obtained for the plurality of outsourcing parties.
Further, for the acquisition source of the outsourcer information, there are the following channels: if the outsourcer library exists, the outsourcer library can be integrated into the electronic equipment, so that the outsourcer information can be acquired from the outsourcer library. Meanwhile, outsourcing party information can be crawled from relevant webpages of the outsourcing party, wherein the relevant webpages of the outsourcing party comprise outsourcing party websites and outsourcing industry forums. Of course, outsourcing party information can also be manually input into the electronic equipment according to the customer introduction. The invention does not limit the channel from which outsourcer information is obtained.
However, since the outsourcer information may be obtained from different channels, the data structure of the outsourcer information may be different. Thus, in an embodiment of the present invention, after step 101 and before step 102, the method further comprises the steps of: and carrying out data standardization processing on the outsourcing party information.
Specifically, some outsourcer information acquired through the channel is structured data, and some outsourcer information is unstructured data. According to the embodiment of the invention, the outsourcing party information belonging to the unstructured data is converted into the structured data through data standardization processing, so that all the acquired outsourcing party information have the same data structure, and the data can be uniformly processed. In the process of performing data standardization processing on the outsourcing information, the data warehouse technology ETL (Extract transform load) can be applied to implement the process.
For the type of the outsourcer information, the outsourcer information is used for representing the outsourcing capability of the outsourcer, and specifically, the outsourcer information comprises at least one of response time, industry service capability, annual income amount, technology development capability, customer satisfaction, outsource contract signing condition, service delivery condition, industry reputation, enterprise stability, outsource category and cooperation coordination. The contracting contract condition comprises the frequency and contract amount of contracting the enterprise outsourcing service every year. Service delivery conditions include whether the service hosted by the outsourcer is delivered in advance/on time/deferred, and overall delivery capacity and quality. Business stability includes personnel stability, such as whether a personnel is a corporate employee or outsourcing employee. The outsourcing type comprises primary outsourcing, secondary outsourcing or multi-stage outsourcing.
It should be noted that, in the embodiment of the present invention, the more data content included in the outsourcer information, the more accurate the obtained associated information is, and meanwhile, the more accurate the evaluation result of the outsourcer is.
For step 102, the invention performs mining processing on outsourcer information by using a machine learning algorithm, and can obtain associated information associated with the outsourcer information. The related information is information obtained by deep mining on the basis of outsourcer information. For example, if the outsourcer information is a response time to process one target item, then the associated information may be a response time to process ten target items. Specifically, the machine learning algorithm includes a neural network algorithm and/or a deep mining algorithm. The prior art is related to how to mine data by using a neural network algorithm and/or a deep mining algorithm, and the invention is not limited to this. According to the method and the device, the association information is obtained by mining according to the outsourcer information, so that the outsourcer is evaluated together by combining the outsourcer information and the association information, so that the evaluation is more comprehensive, and the accuracy of the evaluation result can be improved.
As for step 103, in the embodiment of the present invention, the capability of each outsourcer is evaluated under a preset evaluation condition based on the outsourcer information and the association information, and an evaluation result of each outsourcer is obtained. The preset evaluation condition is an evaluation threshold determined based on the types of outsourcer information and the associated information, and the evaluation thresholds corresponding to different types of outsourcer information and associated information are different. For example, if the outsourcer information is the response time, the preset evaluation condition is an evaluation threshold based on the response time. In a specific example, the response time-based evaluation threshold may include: the response time is 30 points greater than the 24-hour correspondence score, the response time is 80 points less than or equal to the 24-hour correspondence score, and when the response time of the outsourcer a is 25 hours, the evaluation result of the outsourcer a is 30 points. If the outsourcer information is the annual income amount, the preset evaluation condition is an evaluation threshold value based on the annual income amount. In a specific example, the annual revenue amount-based evaluation threshold may include: the annual income amount of more than 100 ten thousand corresponds to 90 points, the annual income amount of less than 100 ten thousand corresponds to 50 points, and when the annual income amount of the outsourcing party B is 120 ten thousand, the evaluation result of the outsourcing party B is 90 points. The above examples are used for simple examples for those skilled in the art to understand the technical solutions, and in practical applications, multiple segments of evaluation thresholds may also be set, or the evaluation thresholds may dynamically float according to some factors, all of which belong to the protection scope of the present application.
Further, in the process of evaluating the capability of the outsourcer, the evaluation may be classified, thereby obtaining a plurality of evaluation results. The classification evaluation includes overall evaluation, special evaluation and industry evaluation, so that the evaluation result includes comprehensive evaluation result, special evaluation result and industry evaluation result. Specifically, at least one of the following evaluation methods is included:
the first evaluation method comprises the following steps: and integrally evaluating the capacity of the outsourcing party to obtain a comprehensive evaluation result of the outsourcing party. Specifically, in the overall evaluation process, all outsourcer information and associated information are comprehensively considered, and finally a comprehensive score is obtained, wherein the comprehensive score is a comprehensive evaluation result. Wherein, the comprehensive evaluation result can reflect the overall outsourcing capability of the outsourcing party.
The second evaluation method: and performing special evaluation on the capacity of the outsourcer based on the preset evaluation item to obtain a special evaluation result of the outsourcer corresponding to the preset evaluation item. Specifically, in the process of the special assessment, only the outsourcer information and the associated information related to the preset assessment project are considered, and finally, a special score is obtained, wherein the special score is a special assessment result. The special evaluation result is an evaluation result corresponding to a preset evaluation item. For example, if the preset evaluation item is the response time, only the response time is evaluated in the process of the special evaluation, and a special evaluation result for the item of the response time is obtained after the evaluation. Wherein, the special evaluation result can reflect the outsourcing capability of a special item of the outsourcing party.
The third evaluation method: and performing industry evaluation on the capacity of the outsourcing party based on the preset evaluation industry to obtain an industry evaluation result of the outsourcing party corresponding to the preset evaluation industry. Specifically, in the process of industry assessment, only preset assessment industries are considered, and finally the industry score is obtained, wherein the industry score is the industry assessment result. The industry evaluation result is an evaluation result corresponding to a preset evaluation industry. For example, if the preset assessment industry is the petroleum industry, only response time is assessed in the industry assessment process, and an industry assessment result for the industry of response time is obtained after assessment. The industry evaluation result can reflect the outsourcing capability of a certain industry of an outsourcing party.
For step 104, an outsourcing platform model is built according to the evaluation results of all outsourcing parties. Specifically, the outsourcing platform model is constructed by establishing the corresponding relation between the name of the outsourcing party and the evaluation result of the outsourcing party. When the user searches, the search can be carried out based on any parameter of the name of the outsourcer and the evaluation result of the outsourcer. For example, the evaluation result of the corresponding outsourcer can be found according to the name of the outsourcer. The user can accurately know the outsourcing capability of the outsourcing party according to the evaluation result in the outsourcing platform model, so that the user can quickly and accurately position the required outsourcing party.
Further, in order to facilitate a user to search for an outsourcing party according to a requirement, in an embodiment of the present invention, before establishing an outsourcing platform model, the method further includes:
determining a feature label for characterizing the outsourcer based on at least one of the outsourcer information, the correlation information and the evaluation result. Thus, step 104 specifically includes: and establishing an outsourcing platform model based on all the obtained evaluation results and the characteristic labels.
Specifically, for each outsourcer, a characteristic label of the outsourcer is determined based on at least one of outsourcer information, correlation information and evaluation results of the outsourcer. The feature tag is used to characterize the feature of the outsourcer. For example, if the evaluation result indicates that the outsourcer has a higher score in the special item of the response time, it can be determined that the feature tag of the outsourcer is short in response time, and if the outsourcer information indicates that the outsourcer belongs to the field of petroleum, it can be determined that the feature tag of the outsourcer is the petroleum industry. After the feature labels of the outsourcers are determined, an outsource platform model is established based on the evaluation result and the feature labels of each outsourcer. Specifically, the outsourcing platform model is constructed by establishing the corresponding relation among the name of the outsourcing party, the evaluation result of the outsourcing party and the feature label of the outsourcing party. In the user search, the search can be carried out based on one or more parameters of the name of the outsourcer, the evaluation result of the outsourcer and the feature label of the outsourcer. For example, the name and evaluation result of the corresponding outsourcer can be found according to the feature tag of the outsourcer.
The outsourcer finding method corresponding to the first embodiment will be described in detail below.
Based on the same inventive concept, a second embodiment of the present invention provides a method for finding an outsourcer, which applies the outsource platform model established by the first embodiment. Meanwhile, the method is applied to the electronic equipment on the user side, namely the electronic equipment of the user is the execution subject of the method.
Referring to fig. 2, the outsourcing party searching method according to the embodiment of the present invention includes:
step 201: and acquiring the search condition of the user.
Step 202: and based on the search condition, determining a target outsourcing party corresponding to the search condition from the outsourcing platform model, and acquiring an evaluation result of the target outsourcing party from the outsourcing platform model.
Step 203: and displaying the target outsourcing party and the evaluation result of the target outsourcing party to the user.
In the embodiment of the present invention, the following two search modes are provided:
in the first search method, if the outsourcer platform model includes a corresponding relationship between the name of the outsourcer and the evaluation result of the outsourcer, the search condition of the user is a search condition based on any parameter of the name of the outsourcer and the evaluation result of the outsourcer. Therefore, after the search condition of the user is obtained, the target outsourcing party is determined in the outsourcing platform model according to the search condition, and the evaluation result of the target outsourcing party is obtained. And finally, displaying the target outsourcing party and the evaluation result of the target outsourcing party to the user. For example, when the search condition is outsourcing party a, determining the outsourcing party a in the outsourcing platform model and acquiring the evaluation result of the outsourcing party a, and finally, displaying the outsourcing party a and the evaluation result of the outsourcing party a to the user.
In the second search method, if the outsourcer platform model includes a corresponding relationship between the name of the outsourcer, the evaluation result of the outsourcer, and the feature tag of the outsourcer, then the search condition of the user is a search condition based on one or more parameters of the name of the outsourcer, the evaluation result of the outsourcer, and the feature tag of the outsourcer. Therefore, after the search condition of the user is obtained, the target outsourcing party is determined in the outsourcing platform model according to the search condition, and the evaluation result of the target outsourcing party is obtained. And finally, displaying the target outsourcing party, the evaluation result of the target outsourcing party and the characteristic label of the target outsourcing party to the user. For example, when the feature label with the condition of "short response time" is searched, the outsourcer a with the feature label with the "short response time" is determined in the outsource platform model, and finally, the outsourcer a, the evaluation result of the outsourcer a and the feature label of the outsourcer are displayed to the user.
Further, when the target outsourcer includes a plurality of target outsourcers, in order to facilitate the user to know the relationship between the plurality of target outsourcers, after step 202, the method further comprises:
sequencing all target outsourcing parties based on the evaluation results of all the target outsourcing parties to obtain sequencing results for representing the magnitude relation among the evaluation results;
and displaying the sequencing result to a user.
For example, if there are a first target outsourcer, a second target outsourcer and a third target outsourcer, the evaluation result of the first target outsourcer is 80 minutes, the evaluation result of the second target outsourcer is 60 minutes, and the evaluation result of the third target outsourcer is 90 minutes, the three target outsourcers are sorted based on the evaluation results, the sorting results are obtained as the third target outsourcer, the first target outsourcer and the second target outsourcer in sequence from high to low according to the evaluation results, and finally, the sorting results are displayed to the user.
Based on the same inventive concept, a third embodiment of the present invention provides an apparatus for building an outsourcing platform model, as shown in fig. 3, the apparatus including:
an obtaining module 301, configured to obtain outsourcer information of at least one outsourcer, where the outsourcer information is used to characterize capabilities of the outsourcer;
an obtaining module 302, configured to perform mining processing on each outsourcer information through a machine learning algorithm, so as to obtain associated information associated with the outsourcer information;
an evaluation module 303, configured to evaluate, based on the outsourcer information and the association information, a capability of each outsourcer respectively, to obtain an evaluation result of each outsourcer;
a building module 304, configured to build the outsourcing platform model based on all the obtained evaluation results.
Preferably, the apparatus further comprises:
and the standardization processing module is used for carrying out data standardization processing on the outsourcing party information.
Preferably, the outsourcer information includes at least one of response time, industry service capability, annual income amount, technology development capability, customer satisfaction, outsource contract signing condition, service delivery condition, industry reputation, enterprise stability, outsource category and cooperation coordination.
Preferably, the evaluation module 303 includes at least one of the following units:
the first evaluation unit is used for carrying out overall evaluation on the capacity of the outsourcing party to obtain a comprehensive evaluation result of the outsourcing party;
the second evaluation unit is used for carrying out special evaluation on the capacity of the outsourcer based on a preset evaluation project to obtain a special evaluation result of the outsourcer corresponding to the preset evaluation project;
and the third evaluation unit is used for carrying out industry evaluation on the capacity of the outsourcer based on a preset evaluation industry to obtain an industry evaluation result of the outsourcer, wherein the industry evaluation result corresponds to the preset evaluation industry.
Based on the same inventive concept, a fourth embodiment of the present invention provides an outsourcer searching apparatus, which applies the outsourcer platform model established by the method in the first embodiment, as shown in fig. 4, and the apparatus includes:
a condition obtaining module 401, configured to obtain a search condition of a user;
a search module 402, configured to determine, based on the search condition, a target outsourcer corresponding to the search condition from the outsource platform model, and obtain an evaluation result of the target outsourcer from the outsource platform model;
a first presenting module 403, configured to present the target outsourcer and the evaluation result of the target outsourcer to the user.
Preferably, if there are a plurality of target outsourcers, the apparatus further comprises:
the sequencing module is used for sequencing all the target outsourcing parties based on the evaluation results of all the target outsourcing parties to obtain sequencing results for representing the magnitude relation among the evaluation results;
and the second display module is used for displaying the sequencing result to the user.
The device for establishing the outsourcing platform model comprises a processor and a memory, wherein the acquisition module, the evaluation module, the establishment module and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can set one or more, and the outsourcing platform model is established by adjusting kernel parameters.
The outsourcer searching device comprises a processor and a memory, the condition acquisition module, the searching module, the showing module and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the target outsourcer and the evaluation result of the target outsourcer are displayed to the user by adjusting the kernel parameters.
An embodiment of the present invention provides a storage medium, on which a program is stored, where the program, when executed by a processor, implements the method for establishing an outsourcing platform model and the outsourcing party searching method.
The embodiment of the invention provides a processor, which is used for running a program, wherein the method for establishing an outsourcing platform model and the outsourcing party searching method are executed when the program runs.
An embodiment of the present invention provides an apparatus, as shown in fig. 5, an apparatus 50 includes at least one processor 501, and at least one memory 502 and a bus 505 connected to the processor 501; the processor 501 and the memory 502 complete communication with each other through the bus 505; the processor 501 is used to call program instructions in the memory 502 to perform the above-described method for dynamically adjusting system resources. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
acquiring outsourcer information of at least one outsourcer for representing the outsourcer capability;
mining each outsourcer information through a machine learning algorithm to obtain associated information associated with the outsourcer information;
respectively evaluating the capacity of each outsourcer based on the outsourcer information and the associated information to obtain an evaluation result of each outsourcer;
and establishing the outsourcing platform model based on all the obtained evaluation results.
Preferably, after the acquiring outsourcer information of at least one outsourcer for characterizing the outsourcer capability and before the mining processing of each outsourcer information by the machine learning algorithm, the method further comprises:
and carrying out data standardization processing on the outsourcing party information.
Preferably, the outsourcer information includes at least one of response time, industry service capability, annual income amount, technology development capability, customer satisfaction, outsource contract signing condition, service delivery condition, industry reputation, enterprise stability, outsource category and cooperation coordination.
Preferably, the evaluating the capability of each outsourcer separately to obtain the evaluation result of each outsourcer includes at least one of the following methods:
the capacity of the outsourcing party is integrally evaluated to obtain a comprehensive evaluation result of the outsourcing party;
based on a preset evaluation project, performing special evaluation on the capacity of the outsourcer to obtain a special evaluation result of the outsourcer, wherein the special evaluation result corresponds to the preset evaluation project;
and performing industry evaluation on the capacity of the outsourcing party based on a preset evaluation industry to obtain an industry evaluation result of the outsourcing party corresponding to the preset evaluation industry.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
acquiring a search condition of a user;
determining a target outsourcing party corresponding to the search condition from the outsourcing platform model based on the search condition, and acquiring an evaluation result of the target outsourcing party from the outsourcing platform model;
and displaying the target outsourcing party and the evaluation result of the target outsourcing party to the user.
Preferably, if there are a plurality of target outsourcers, after obtaining the evaluation result of the target outsourcer from the outsourcing platform model, the method further includes:
sequencing all the target outsourcing parties based on the evaluation results of all the target outsourcing parties to obtain sequencing results for representing the magnitude relation among the evaluation results;
and displaying the sequencing result to the user.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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.
In a typical configuration, a device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.
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), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
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 computer storage media 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 that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
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 an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, 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 above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method of building an outsourcing platform model, the method comprising:
acquiring outsourcer information of at least one outsourcer for representing the outsourcer capability;
mining each outsourcer information through a machine learning algorithm to obtain associated information associated with the outsourcer information;
respectively evaluating the capacity of each outsourcer based on the outsourcer information and the associated information to obtain an evaluation result of each outsourcer;
and establishing the outsourcing platform model based on all the obtained evaluation results.
2. The method of claim 1, wherein after said obtaining outsourcer information for at least one outsourcer that characterizes the outsourcer's capabilities and before said mining each of the outsourcer information by the machine learning algorithm, the method further comprises:
and carrying out data standardization processing on the outsourcing party information.
3. The method of claim 1, wherein the outsourcer information includes at least one of response time, industry service capabilities, annual revenue amounts, technology development capabilities, customer satisfaction, outsource contract conditions, service delivery conditions, industry reputation, enterprise stability, outsource category, and collaboration coordination.
4. The method of claim 1, wherein said individually evaluating the capability of each said outsourcer to obtain an evaluation result for each said outsourcer comprises at least one of:
the capacity of the outsourcing party is integrally evaluated to obtain a comprehensive evaluation result of the outsourcing party;
based on a preset evaluation project, performing special evaluation on the capacity of the outsourcer to obtain a special evaluation result of the outsourcer, wherein the special evaluation result corresponds to the preset evaluation project;
and performing industry evaluation on the capacity of the outsourcing party based on a preset evaluation industry to obtain an industry evaluation result of the outsourcing party corresponding to the preset evaluation industry.
5. An outsourcer lookup method, applying the outsource platform model created by the method of claim 1, the method comprising:
acquiring a search condition of a user;
determining a target outsourcing party corresponding to the search condition from the outsourcing platform model based on the search condition, and acquiring an evaluation result of the target outsourcing party from the outsourcing platform model;
and displaying the target outsourcing party and the evaluation result of the target outsourcing party to the user.
6. The method of claim 5, wherein if there are multiple target outsourcers, after said obtaining the evaluation results of the target outsourcers from the outsourcing platform model, the method further comprises:
sequencing all the target outsourcing parties based on the evaluation results of all the target outsourcing parties to obtain sequencing results for representing the magnitude relation among the evaluation results;
and displaying the sequencing result to the user.
7. An apparatus for building an outsourcing platform model, the apparatus comprising:
the outsourcer information acquiring module is used for acquiring outsourcer information of at least one outsourcer and used for representing the outsourcer capacity;
the acquisition module is used for mining each outsourcer information through a machine learning algorithm to acquire associated information associated with the outsourcer information;
the evaluation module is used for evaluating the capacity of each outsourcer respectively based on the information of the outsourcers and the associated information to obtain the evaluation result of each outsourcer;
and the establishing module is used for establishing the outsourcing platform model based on all the obtained evaluation results.
8. An outsourcer lookup apparatus, wherein the outsource platform model created using the method of claim 1, the apparatus comprising:
the condition acquisition module is used for acquiring the search conditions of the user;
the search module is used for determining a target outsourcing party corresponding to the search condition from the outsourcing platform model based on the search condition and acquiring an evaluation result of the target outsourcing party from the outsourcing platform model;
and the display module is used for displaying the target outsourcing party and the evaluation result of the target outsourcing party to the user.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method steps of any one of claims 1 to 6.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method steps of any of claims 1-6 when executing the program.
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