CN116108275A - Service demand matching method, system, electronic equipment and storage medium - Google Patents
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Abstract
The embodiment of the application provides a service demand matching method, a system, electronic equipment and a storage medium, and relates to the technical field of big data processing. Wherein the method comprises the following steps: by establishing an industry label and a service demand label of a target service object, setting corresponding weights, matching the service labels provided by service providers in a database, forming a service provider recommendation list aiming at the target service object, and pushing the service provider recommendation list to the target service object, the problem of low service pushing conversion rate in the related technology is effectively solved.
Description
Technical Field
The application relates to the technical field of big data processing, in particular to a service demand matching method, a system, electronic equipment and a storage medium.
Background
With the rapid development of computer technology, more and more service systems are realized through the internet, and various services can be provided on line for people to select according to actual demands, so that the life of people is facilitated. In addition to people actively seeking business services, more and more business systems also make product recommendations for users.
Then, in the existing service system, the service personnel is required to push the user according to personal experience in a way that the service personnel actively contacts the user to push the product, and the pertinence of service push is poor, so that the push conversion rate is low.
From the above, how to more accurately push the service according to the user requirement, so that the problem of improving the conversion rate is still to be solved.
Disclosure of Invention
The embodiments of the present application provide a service requirement matching method, a system, an electronic device, and a storage medium, which can solve the problem of low service push conversion rate in the related art. The technical scheme is as follows:
according to one aspect of the embodiments of the present application, a service requirement matching method includes: acquiring industry information and service demand information of a target service object and service information issued by a service provider; according to the industry information and the service demand information, respectively establishing an industry label corresponding to the industry information and a demand label corresponding to the service demand information, and setting weights corresponding to the industry label and the demand label; establishing a service label corresponding to the service information according to the service information; matching service labels of service providers in a database according to the industry labels and the demand labels of the target service objects, and calculating according to corresponding label weights to obtain matching scores; and ranking the scores of the service providers according to the obtained matching scores to form a service provider recommendation list, and pushing the service provider recommendation list to a target service object.
In an exemplary embodiment, the method further comprises: collecting behavior data of a target service object aiming at a service provider recommendation list, and adjusting the service provider recommendation list according to the weight of a behavior label corresponding to the behavior data; and automatically adjusting and optimizing the corresponding weight according to the behavior data.
According to one aspect of embodiments of the present application, a service requirement matching system, the system comprising: the information acquisition module is used for acquiring the industry information and the service demand information of the target service object and the service information issued by the service provider; the first label module is used for respectively establishing an industry label corresponding to the industry information and a demand label corresponding to the service demand information according to the industry information and the service demand information, and setting weights corresponding to the industry label and the demand label; the second label module is used for establishing a service label corresponding to the service information according to the service information; the score calculation module is used for matching the service labels of the service providers in the database according to the industry labels and the demand labels of the target service objects, and calculating to obtain matching scores according to the corresponding label weights; and the result pushing module is used for ranking the scores of the service providers according to the obtained matching scores, forming a service provider recommendation list and pushing the service provider recommendation list to the target service object.
In an exemplary embodiment, the system further comprises: the list updating module is used for collecting behavior data of the target service object aiming at the service provider recommendation list, and adjusting the service provider recommendation list according to the weight of the behavior label corresponding to the behavior data; and the weight optimization module is used for automatically adjusting and optimizing the corresponding weight according to the behavior data.
According to one aspect of an embodiment of the present application, an electronic device includes: at least one processor, at least one memory, and at least one communication bus, wherein the memory stores computer programs, and the processor reads the computer programs in the memory through the communication bus; the computer program, when executed by a processor, implements a service requirement matching method as described above.
According to one aspect of an embodiment of the present application, a storage medium has stored thereon a computer program which, when executed by a processor, implements a service requirement matching method as described above.
According to one aspect of the embodiments of the present application, a computer program product, the computer program product comprising a computer program, the computer program being stored in a storage medium, a processor of a computer device reading the computer program from the storage medium, the processor executing the computer program such that the computer device, when executed, implements a service requirement matching method as described above.
The beneficial effects that this application provided technical scheme brought are:
in the technical scheme, the industry label and the service demand label of the target service object are established, the corresponding weight is set, the service label is matched with the service label which can be provided by the service provider in the database, the service provider recommendation list aiming at the target service object is formed, and the service provider recommendation list is pushed to the target service object, so that the problem of low service pushing conversion rate in the related technology is effectively solved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that are required to be used in the description of the embodiments of the present application will be briefly described below.
FIG. 1 is a diagram illustrating a service requirement matching method according to an example embodiment;
FIG. 2 is another service requirement matching method illustrated in accordance with an exemplary embodiment;
FIG. 3 is a block diagram of a service requirement matching system, according to an exemplary embodiment;
FIG. 4 is a hardware block diagram of an electronic device shown in accordance with an exemplary embodiment;
fig. 5 is a block diagram of an electronic device, according to an example embodiment.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for the purpose of illustrating the present application and are not to be construed as limiting the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein includes all or any element and all combination of one or more of the associated listed items.
As described above, in the conventional service system, the service personnel is required to push the user according to personal experience in a manner that the service personnel actively contacts the user to push the service, so that the pertinence of service push is poor, and the push conversion rate is low.
As can be seen, the related art still has the problem of low service push conversion rate.
Therefore, the service demand matching method provided by the application can effectively improve the service push conversion rate, and is correspondingly suitable for a service demand matching system.
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
As shown in fig. 1, the present application provides a service requirement matching method, which may include the following steps:
Industry information is used to indicate industries in which a target service object is located, such as mining, raw materials, consumer goods, equipment manufacturing, electronic information manufacturing, electricity, heat and gas, construction, agriculture, service, and the like.
The service demand information is used for indicating the service required to be acquired by the target service object;
the service information is used for indicating the service which can be provided by the service provider, and the service which can be provided by different service providers is different.
In an exemplary implementation, the demand label of the target service object includes five types of scenes, areas, modes, effects, and products, and forms a user label with the industry label of the target service object.
The weights of the six kinds of labels of industry, scene, area, mode, effect and product are a, b, c, d, e, f respectively.
And 330, establishing a service label corresponding to the service information according to the service information.
It should be noted that, if the service provider issues a plurality of service information, there will be a plurality of service tags for matching with the requirement tags of the target service objects, and there is a one-to-many relationship between the two parties.
In an exemplary implementation, service tags of service providers are stored in a database, and the tags are matched according to industry tags and demand tags of target service objects, thereby obtaining matching scores for different service providers of the target service objects.
Specifically, a corresponding user tag is generated for the service requirement issued by the target service object. For example, the industry where a certain target service object is located is mining industry, the service requirement issued by the target service object is scene, area, mode, effect and product, and the corresponding user label is mining industry, scene, area, mode, effect and product; there are two service providers in the database: the industry in which service provider 1 and service provider 2 are located is mining industry, but the service tags provided are different. Wherein the service provided by the service provider 1 is scene, area and effect, and the service provided by the service provider 2 is mode and product; the service provider 1 matches the target service object by a + b + c + e and the service provider 2 matches the target service object by a + d + f.
It should be noted that, the user tags of the target service objects have respective priorities, the priorities are sequentially reduced according to the order of industry, scene, area, mode, effect and product, and when matching is performed, the tags with high priorities are matched preferentially.
Moreover, the matching levels between labels are different, and in an exemplary embodiment, the matching levels are classified into three levels of complete matching, secondary matching and unmatched according to the matching degree of the labels between the target service object and the service provider, and different weight standards are given to the industry labels and the demand labels according to the difference of the matching levels.
Specifically, for example, the industry where a certain target service object is located is mining industry, and the database has a mining service provider 1, a mining service provider 2 and an agricultural service provider 3, according to respective industry labels, the matching grade of the service provider 1 is complete matching, the matching grade of the service provider 2 is secondary matching, and the matching grade of the service provider 3 is unmatched. The weights of the service provider 1 and the service provider 2 are b, c, d, e, f, b, respectively, in the five labels of the corresponding scene, region, mode, effect and product according to the respective matching grades 2 、c 2 、d 2 、e 2 、f 2 The weights of the service providers 3 are b respectively 1 、c 1 、d 1 、e 1 、f 1 。
And 350, ranking the scores of the service providers according to the obtained matching scores to form a service provider recommendation list, and pushing the service provider recommendation list to the target service object.
After service providers are matched for the service required by the target service object in one possible implementation manner, ranking the matching scores of all the service providers from high to low to form a service provider recommendation list, and pushing the service provider recommendation list to the target service object.
It should be noted that if there are service providers with the same score in the service provider recommendation list, the service providers may be ranked according to the priority of the service tags they provide. Specifically, if the matching scores of the service provider 1 and the service provider 2 are the same, the industries, scenes, areas, modes, effects and weights of products of the two can be compared in sequence according to the label priorities, and the labels with high priority are ranked in front.
Through the steps, the corresponding service providers are matched according to the requirements of the target service objects, and the recommendation list is formed, so that compared with the conventional method that service is pushed to users through service personnel according to personal experience, the method has stronger pertinence, and the conversion rate is improved.
In an exemplary embodiment, as shown in fig. 2, after step 350, the method may further include the steps of:
and step 360, collecting behavior data of the target service object aiming at the service provider recommendation list, and adjusting the service provider recommendation list according to the weight of the behavior label corresponding to the behavior data.
In one possible implementation, the behavior data of the target service object for the service provider recommendation list includes: the method comprises the steps of searching, clicking, checking, collecting, intention applying and docking data of five dimensions successfully, generating corresponding behavior labels according to the data of the five dimensions respectively, and setting weights corresponding to the behavior labels of the five dimensions as g, h, i, j, k.
Specifically, a certain target service object performs only two operations on the service provider recommendation list pushed to it: 1. clicking to view the service of the service provider 1 and collecting; 2. the service provider 2 is searched and an intentional application is initiated. The behavior data of the target service object is scored as g+i for the service provider 1; for service provider 2, the behavior data of the target service object is scored as h+j.
Through the operation of the target service object on the service provider recommendation list, the behavior score of the target service object needs to be added to the score of the service provider 1 and the score of the service provider 2 in the original service provider recommendation list, so that the service provider recommendation list is updated in real time to form a new list.
And 370, automatically adjusting the weight corresponding to the optimized tag according to the behavior data.
Specifically, according to the operation of the target service object on the service provider recommendation list, displaying that the target service object is more Zhong Yi on a certain service label; or because a certain service label makes the conversion rate of the service provider higher, the weight corresponding to the label is automatically adjusted and optimized.
Through the steps, through the interaction of the target service object on the service provider recommendation list, the service provider recommendation list pushed to the target service object meets the requirements of the service provider recommendation list, and meanwhile, according to the behavior data of the target service object, the tag weight is optimized in a feedback mode to form the service provider recommendation list with certain universality, so that the service provider recommendation list has relatively high conversion rate on the target service object in the same industry.
The following is an embodiment of the system of the present application, which may be used to execute the service requirement matching method related to the present application. For details not disclosed in the system embodiments of the present application, please refer to a method embodiment of the service requirement matching method related to the present application.
Referring to fig. 3, in an embodiment of the present application, a service requirement matching system 500 is provided, including but not limited to: an information acquisition module 510, a first label module 520, a second label module 530, a score calculation module 540, and a result pushing module 550.
The information obtaining module 510 is configured to obtain industry information and service requirement information of the target service object, and service information issued by the service provider.
The first tag module 520 is configured to respectively establish an industry tag corresponding to the industry information and a demand tag corresponding to the service demand information according to the obtained industry information and service demand information of the target service object, and set weights corresponding to the industry tag and the demand tag.
The second tag module 530 is configured to establish a service tag corresponding to the service information according to the acquired service information issued by the service provider, and set a weight corresponding to the service tag.
The score calculating module 540 is configured to match service labels of service providers in the database according to industry labels and demand labels of the target service objects, and calculate a matching score according to corresponding label weights.
And the result pushing module 550 is configured to rank the scores of the service providers according to the obtained matching scores, form a service provider recommendation list, and push the service provider recommendation list to the target service object.
In an exemplary embodiment, the service requirement matching system 500 further comprises: a list updating module, configured to collect behavior data of a target service object for the service provider recommendation list, and adjust the service provider recommendation list according to a weight of a behavior tag corresponding to the behavior data; the weight optimization module is used for automatically adjusting and optimizing the corresponding weight according to the behavior data
It should be noted that, in the service requirement matching system provided in the foregoing embodiment, only the division of the functional modules is used for illustration, and in practical application, the foregoing functional allocation may be completed by different functional modules according to needs, that is, the internal structure of the service requirement matching system is divided into different functional modules, so as to complete all or part of the functions described above.
In addition, the embodiments of the service requirement matching system and the service requirement matching method provided in the foregoing embodiments belong to the same concept, and the specific manner in which each module performs the operation has been described in detail in the method embodiment, which is not described herein again.
Fig. 4 is a schematic diagram of an electronic device according to an exemplary embodiment.
It should be noted that the electronic device is just one example adapted to the present application, and should not be construed as providing any limitation to the scope of use of the present application. Nor should the electronic device be construed as necessarily relying on or necessarily having one or more of the components of the exemplary electronic device 2000 illustrated in fig. 4.
The hardware structure of the electronic device 2000 may vary widely depending on configuration or performance, as shown in fig. 4, the electronic device 2000 includes: a power supply 210, an interface 230, at least one memory 250, and at least one central processing unit (CPU, central Processing Units) 270.
Specifically, the power supply 210 is configured to provide an operating voltage for each hardware device on the electronic device 2000.
The interface 230 includes at least one wired or wireless network interface 231 for interacting with external devices. Of course, in other examples of adaptation of the present application, the interface 230 may further include at least one serial-parallel conversion interface 233, at least one input-output interface 235, and at least one USB interface 237, as shown in fig. 4, which is not specifically limited herein.
The memory 250 may be a carrier for storing resources, such as a read-only memory, a random access memory, a magnetic disk, or an optical disk, where the resources stored include an operating system 251, application programs 253, and data 255, and the storage mode may be transient storage or permanent storage.
The operating system 251 is used for managing and controlling various hardware devices and applications 253 on the electronic device 2000, so as to implement the operation and processing of the cpu 270 on the mass data 255 in the memory 250, which may be Windows server, mac OS XTM, unixTM, linuxTM, freeBSDTM, etc.
The application 253 is a computer program that performs at least one specific task based on the operating system 251, and may include at least one module (not shown in fig. 4), each of which may respectively include a computer program for the electronic device 2000. For example, the service requirement matching system may be considered an application 253 deployed on the electronic device 2000.
The central processor 270 may include one or more processors and is configured to communicate with the memory 250 via at least one communication bus to read the computer program stored in the memory 250, thereby implementing the operation and processing of the bulk data 255 in the memory 250. The service requirement matching method is accomplished, for example, by the central processor 270 reading a series of computer programs stored in the memory 250.
Furthermore, the present application can be realized by hardware circuitry or by a combination of hardware circuitry and software, and thus, the implementation of the present application is not limited to any specific hardware circuitry, software, or combination of the two.
Referring to fig. 5, an electronic device 4000 is provided.
In fig. 5, the electronic device 4000 includes at least one processor 4001, at least one communication bus 4002, and at least one memory 4003.
Wherein the processor 4001 is coupled to the memory 4003, such as via a communication bus 4002. Optionally, the electronic device 4000 may further comprise a transceiver 4004, the transceiver 4004 may be used for data interaction between the electronic device and other electronic devices, such as transmission of data and/or reception of data, etc. It should be noted that, in practical applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 is not limited to the embodiment of the present application.
The processor 4001 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. The processor 4001 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
The communication bus 4002 may include a pathway to transfer information between the aforementioned components. The communication bus 4002 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. The communication bus 4002 can be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
The memory 4003 has stored thereon a computer program, and the processor 4001 reads the computer program stored in the memory 4003 through the communication bus 4002.
The computer program, when executed by the processor 4001, implements the service requirement matching method in the above embodiments.
Further, in the embodiments of the present application, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the service requirement matching method in the above embodiments.
In an embodiment of the present application, a computer program product is provided, which includes a computer program stored in a storage medium. The processor of the computer device reads the computer program from the storage medium, and the processor executes the computer program, so that the computer device executes the service requirement matching method in the above embodiments.
Compared with the related art, on one hand, the business label and the service demand label of the target service object are established, corresponding weights are set, the business label is matched with the service label which can be provided by the service provider in the database, a service provider recommendation list aiming at the target service object is formed, and the service provider recommendation list is pushed to the target service object, so that the problem of low service pushing conversion rate in the related art is effectively solved; on the other hand, through the interaction of the target service object on the service provider recommendation list, the service provider recommendation list pushed to the target service object meets the requirements of the service provider recommendation list, and meanwhile, according to the behavior data of the target service object, the tag weight is optimized in a feedback mode to form the service provider recommendation list with certain universality, so that the service provider recommendation list has relatively high conversion rate on the target service object in the same industry.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A method of matching service requirements, the method comprising:
acquiring industry information and service demand information of a target service object and service information issued by a service provider;
according to the industry information and the service demand information, respectively establishing an industry label corresponding to the industry information and a demand label corresponding to the service demand information, and setting weights corresponding to the industry label and the demand label;
establishing a service label corresponding to the service information according to the service information;
matching service labels of service providers in a database according to the industry labels and the demand labels of the target service objects, and calculating according to corresponding label weights to obtain matching scores;
and ranking the scores of the service providers according to the obtained matching scores to form a service provider recommendation list, and pushing the service provider recommendation list to a target service object.
2. The method of claim 1, wherein the industry label and the demand label have respective priorities, and wherein the labels are matched in order of priority from high to low.
3. The method of claim 1, wherein matching service tags of service providers in a database according to the industry tags and the demand tags of the target service object, and calculating a matching score according to the corresponding tag weights comprises:
comparing the target service label with the service label of the service provider in the database to obtain a comparison result;
and based on the comparison result, indicating that the target service label and the demand label are the same as the service labels of the service providers in the database, and successfully matching.
4. A method according to claim 2 or 3, wherein the matching the service labels of the service providers in the database according to the industry labels and the demand labels of the target service objects, and calculating the matching scores according to the corresponding label weights, further comprises:
based on the matching degree grades between the industry label and the demand label of the target service object and the service label of the service provider in the database, different weight standards are given to the industry label and the demand label according to different matching degree grades;
and adding the weight of the industry label of the target service object and the weight of the demand label to obtain a matching score.
5. The method of claim 1, wherein the demand label comprises a scene, an area, a pattern, a achievement, and a product.
6. The method of claim 1, wherein after pushing the service provider recommendation list to a target service object, the method further comprises:
collecting behavior data of a target service object aiming at the service provider recommendation list, and adjusting the service provider recommendation list according to the weight of a behavior label corresponding to the behavior data;
and automatically adjusting the weight corresponding to the optimized service tag according to the behavior data.
7. The method of claim 6, wherein the behavioral data comprises:
five dimensions of enterprise's searching, clicking and checking, collection, intention application and successful docking; the five dimensions correspond to different behavior labels and weights respectively.
8. A service demand matching system, the system comprising:
the information acquisition module is used for acquiring the industry information and the service demand information of the target service object and the service information issued by the service provider;
the first label module is used for respectively establishing an industry label corresponding to the industry information and a demand label corresponding to the service demand information according to the industry information and the service demand information, and setting weights corresponding to the industry label and the demand label;
the second label module is used for establishing a service label corresponding to the service information according to the service information;
the score calculation module is used for matching the service labels of the service providers in the database according to the industry labels and the demand labels of the target service objects, and calculating to obtain matching scores according to the corresponding label weights;
and the result pushing module is used for ranking the scores of the service providers according to the obtained matching scores, forming a service provider recommendation list and pushing the service provider recommendation list to the target service object.
9. An electronic device, comprising: at least one processor, at least one memory, and at least one communication bus, wherein,
the memory stores a computer program, and the processor reads the computer program in the memory through the communication bus;
the computer program, when executed by the processor, implements the service requirement matching method of any one of claims 1 to 7.
10. A storage medium having stored thereon a computer program, which when executed by a processor implements the service requirement matching method of any of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310138323.6A CN116108275A (en) | 2023-02-09 | 2023-02-09 | Service demand matching method, system, electronic equipment and storage medium |
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| CN202310138323.6A CN116108275A (en) | 2023-02-09 | 2023-02-09 | Service demand matching method, system, electronic equipment and storage medium |
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| US20100192067A1 (en) * | 2009-01-23 | 2010-07-29 | Salesforce.Com, Inc. | Customer service & support systems and methods for use in an on demand database service |
| CN106383894A (en) * | 2016-09-23 | 2017-02-08 | 深圳市由心网络科技有限公司 | Enterprise supply-demand information matching method and apparatus |
| US20180082348A1 (en) * | 2016-09-16 | 2018-03-22 | Conduent Business Services, Llc | Method and system for data processing to recommend list of physical stores in real-time |
| CN108427695A (en) * | 2017-08-04 | 2018-08-21 | 平安科技（深圳）有限公司 | Method and application server are recommended by enterprise |
| CN114357289A (en) * | 2021-12-27 | 2022-04-15 | 科寻科汇(上海)科技服务有限公司 | Information pushing method, information pushing system, electronic device and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20100192067A1 (en) * | 2009-01-23 | 2010-07-29 | Salesforce.Com, Inc. | Customer service & support systems and methods for use in an on demand database service |
| US20180082348A1 (en) * | 2016-09-16 | 2018-03-22 | Conduent Business Services, Llc | Method and system for data processing to recommend list of physical stores in real-time |
| CN106383894A (en) * | 2016-09-23 | 2017-02-08 | 深圳市由心网络科技有限公司 | Enterprise supply-demand information matching method and apparatus |
| CN108427695A (en) * | 2017-08-04 | 2018-08-21 | 平安科技（深圳）有限公司 | Method and application server are recommended by enterprise |
| CN114357289A (en) * | 2021-12-27 | 2022-04-15 | 科寻科汇(上海)科技服务有限公司 | Information pushing method, information pushing system, electronic device and storage medium |
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