CN113852692A - Service determination method, device, equipment and computer storage medium - Google Patents
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Abstract
The embodiment of the application provides a service determination method, a service determination device, service determination equipment and a computer storage medium. The method comprises the following steps: and calculating heat information according to the service information, further calculating heat distribution similarity, and determining the target service according to the heat distribution similarity. According to the service determination method, more accurate service determination results can be obtained by utilizing the heat distribution similarity, and user experience is improved.
Description
Technical Field
The present application relates to the field of mobile communications, and in particular, to a service determination method, apparatus, device, and computer storage medium.
Background
At present, the 5G technology supports edge computing, cloud services are sunk to the edge of a network through the edge computing, the distance from the cloud services to a user is closer, and the cloud services can obtain better performance in the aspects of time delay, bandwidth, privacy and the like. However, due to factors such as deployment cost and service scale, all cloud services cannot be sunk to the user side, and only some of the cloud services can be selected to be sunk to the edge node, and the cloud services are coordinated, or the edge nodes are coordinated.
In the prior art, when selecting a part of services that need sinking, selection is mainly performed based on heat, that is, services with higher heat are deployed for performing cooperative services. An attacker adopts pollution attack aiming at the cooperative service deployment mode based on the heat degree, maliciously improves the heat degree of specific service, causes malicious competition, is inaccurate in selecting sunken service, and seriously influences the service experience of a user.
Disclosure of Invention
The embodiment of the application provides a service determination method, a service determination device and a computer storage medium, which can determine a target service based on heat distribution similarity, obtain a more accurate service determination result and improve user experience.
In a first aspect, an embodiment of the present application provides a service determination method, where the method includes:
acquiring service information, wherein the service information comprises the number of times of requests of a plurality of users to a plurality of services in two adjacent service areas;
calculating heat information of each service based on the service information, wherein the heat information is used for describing the frequency of the service requested by the user;
calculating the distribution similarity of each service heat degree in two adjacent service areas based on the heat degree information of each service;
and when the heat distribution similarity meets the preset condition, determining the service corresponding to the heat distribution similarity meeting the preset condition as the target service.
In a second aspect, an embodiment of the present application provides a service determination apparatus, where the apparatus includes:
the system comprises an acquisition module, a service processing module and a service processing module, wherein the acquisition module is used for acquiring service information which comprises the request times of a plurality of users to a plurality of services in two adjacent service areas;
the computing module is used for computing the heat information of each service based on the service information, and the heat information is used for describing the frequency of the service requested by the user;
the calculation module is also used for calculating the distribution similarity of the heat degree of each service in the two adjacent service areas based on the heat degree information of each service;
and the determining module is used for determining the service corresponding to the heat distribution similarity meeting the preset condition as the target service when the heat distribution similarity meets the preset condition.
In a third aspect, an embodiment of the present application provides a service determination device, where the service determination device includes:
a processor, and a memory storing computer program instructions;
the processor reads and executes the computer program instructions to implement the service determination method of the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer storage medium, on which computer program instructions are stored, and when executed by a processor, the computer program instructions implement the service determination method of the first aspect.
The service determining method, the service determining device, the service determining equipment and the computer storage medium can determine the heat degree information of the service according to the request times of the service in two adjacent service areas, calculate the service heat degree distribution similarity, determine the target service based on the service heat degree distribution similarity, obtain a more accurate service selection result and improve user experience.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a service determination method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of service determination provided in an embodiment of the present application;
fig. 3 is a system diagram of an application service determination method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a service determination apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a service determination device according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative only and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
At present, under a 5G edge computing collaboration framework, collaboration service deployment is achieved based on heat statistical information and writing topology information, but the method is easily attacked maliciously and causes data pollution. An attacker initiates a request for the cold service through the Internet of things or the intelligent terminal, so that the heat of the cold service is improved, and the accuracy of service sinking is reduced.
In order to solve the problem of the prior art, embodiments of the present application provide a service determination method, apparatus, device, and computer storage medium. First, a service determination method provided in an embodiment of the present application is described below.
Fig. 1 is a flowchart illustrating a service determination method according to an embodiment of the present application. As shown in fig. 1, the method may include the steps of:
s110, service information is obtained, wherein the service information comprises the number of times of requests of a plurality of users to a plurality of services in two adjacent service areas.
In some embodiments, a service area is defined as a geographic area in which all users can enjoy services under a Mobile Edge Computing (MEC) node; a Basic Service Area (BSA) is defined as a largest Service Area of an MEC node when no cooperation is performed, and a Cooperative Service Area (CSA) is defined as a Cooperative Service Area of an MEC node when the MEC node can provide services for users in the Basic Service Area in a Cooperative manner.
And S120, calculating heat information of each service based on the service information, wherein the heat information is used for describing the frequency of the service requested by the user.
In some embodiments, the heat information of each service is calculated according to the number of times of requests of a plurality of users to a plurality of services in two adjacent service areas, wherein the two adjacent service areas are a basic service area and a collaborative service area.
In one embodiment, the sum of the number of requests of the user in two adjacent service areas for each service is calculated as the heat value of each service. For example, if the number of user requests for a service in the basic service area is 40 and the number of user requests for a service in the collaborative service area is 50, the heat value of the service is 90.
S130, calculating the distribution similarity of the heat of each service in the two adjacent service areas based on the heat information of each service.
In some embodiments, the calculation formula of the service heat distribution similarity Sim is as follows:
wherein p isi，cHeat value, p, of service c in the basic service area corresponding to MEC node ij，cHeat value, Sim (p), of service c in the collaborative service area corresponding to MEC node ji，c，pj，c) And distributing similarity of service heat of the service c in the basic service area and the collaborative service area.
And S140, when the heat distribution similarity meets the preset condition, determining the service corresponding to the heat distribution similarity meeting the preset condition as the target service.
The service determining method provided by the embodiment of the application can determine the heat degree information of the service according to the request times of the service in two adjacent service areas, and calculate the heat degree distribution similarity of the service in the two service areas according to the heat degree information, wherein the similarity can reflect whether the service is the service with abnormally increased request times in a certain service area, and the target service is determined based on the similarity, so that the result of service determination can be more accurate.
In some embodiments, calculating the similarity of the heat distribution of each service in two adjacent service areas based on the heat information of each service comprises: and when the sum of the request times of each service in the two service areas is not less than a first threshold value, calculating the similarity of the distribution of the heat of each service in the two adjacent service areas based on the heat information of each service. By setting the first threshold, the error problem caused by small data value can be avoided. For example, if a service c is requested 1 time in the BSA area and 0 time in the CSA area, the calculated similarity of the heat distribution of the service is 0, but actually the number of requests of the service in the two areas is close to each other and differs only by 1 time, and an error occurs in the calculation result. This error is always present when the request number data is small. The specific value of the first threshold may be set according to actual conditions, and is not limited thereto.
In some embodiments, when the heat distribution similarity satisfies a preset condition, determining that a service corresponding to the heat distribution similarity satisfying the preset condition is a target service includes: clearing service information corresponding to the heat distribution similarity of which the heat distribution similarity does not meet the preset condition; and determining the service corresponding to the heat distribution similarity with the heat distribution similarity meeting the preset condition as the target service based on the removed service information and the heat information. When the similarity of the heat distribution does not meet the preset condition, the corresponding service is judged to be a pseudo-heat service, namely the service with abnormally increased user request times, the service information of the service is eliminated, and the target service is determined based on the eliminated service information.
In some embodiments, the preset condition is that the heat distribution similarity is greater than a second threshold; when the heat distribution similarity meets the preset condition, determining the service corresponding to the heat distribution similarity meeting the preset condition as a target service, wherein the service comprises the following steps: and when the heat distribution similarity is larger than the second threshold, determining the service corresponding to the heat distribution similarity meeting the preset condition as the target service based on the heat information of each service.
In some embodiments, when the heat distribution similarity is greater than the second threshold, determining, based on the heat information of each service, that the service corresponding to the heat distribution similarity meeting the preset condition is a target service, includes: determining a first service corresponding to the heat distribution similarity larger than a second threshold; and determining a preset number of services in the first service as target services according to the user request frequency of the first service. And determining the service with the heat distribution similarity larger than a second threshold value as a first service, and selecting a preset number of services as target services in the first service according to the frequency of user requests from large to small. The preset number can be set, and the specific numerical value is not limited.
In some embodiments, when the heat distribution similarity satisfies a preset condition, determining that a service corresponding to the heat distribution similarity satisfying the preset condition is a target service includes: and when the heat distribution similarity meets the preset condition, determining the target service based on the service corresponding to the heat distribution similarity meeting the preset condition and the preset weight value of each service. And when the heat distribution similarity meets the preset condition, determining the target service in the services corresponding to the heat distribution similarity meeting the preset condition by combining the service weight and the service heat information.
In some embodiments, the method further comprises: calculating the mean value and the variance of the service heat degree similarity based on the distribution similarity of each service heat degree; a target first threshold is calculated based on the service heat mean and the variance, the target first threshold being used to update the first threshold. Service heat similarity mean Si，jThe calculation formula of (a) is as follows:
service heat similarity variance
The calculation formula of (a) is as follows:
wherein, C'i，jTo satisfy a service set in which the sum of the number of user requests in two service areas is greater than a first threshold, a first threshold is targeted
The calculation formula of (a) is as follows:
wherein alpha is a coefficient, the suggested value is 2 to 3, and the specific numerical value is not limited.
In some embodiments, the service determination process is performed periodically, and the period duration may be set, which is not limited to this.
The service determining method provided by the embodiment of the application can calculate the heat distribution similarity according to the heat information of the service, select the service according to the distribution similarity and the heat information, judge whether the service belongs to the service which is polluted, namely the service with abnormally increased user request times through the heat distribution similarity, obtain more accurate target service and improve user experience.
In one embodiment, the three rounds of data collected for the i service region and the j service region are:
i＝{a：100，b：80，c：60，d：40，e：20a：90，b：100，c：80，d：70，e：50a：80，b：80，c：100，d：70，h：60}
j＝{a:80，b:90，c:70，d:60，e:40a:100，f:100，c:90，d:50，e:80a:90，b:70，c:90，d:80，h:100}
setting VIP ═ a, b ], that is, setting the weight of a, b, and preferentially selecting service a and service b. Wherein a, b, c, d, e, f, h represent different services. From the data, it can be seen that the data of h service exception growth appears in the third round of data of i service area, the data of f service exception growth appears in the second round of data of j service area, and the data of h exception growth appears in the third round of data.
Setting the preset number of target services to be 3, and obtaining a calculation result according to the data as follows:
hotspot service [ a:180, b:170, c:130, d:100]
Target service [ a, b, c ]
Hotspot service [ a:190, c:170, e:140]
Target service [ a, c, e ]
Hotspot services [ c:190, a:170, j:160, b:150, d:150]
Target service [ c, a, b ]
In one embodiment, the service determination method flow is as shown in fig. 2, first, traversing the services in the service area j, calculating the number of requests of the service c in the two service areas for the service c in which there are two service areas, and calculating the similarity of the heat distribution of the service c in the two service areas when the number of requests is greater than a first threshold. And traversing all the services in the service area j, forming an intersection by the services meeting the requirement that the number of times of requests in the two service areas is greater than a first threshold value, calculating the mean value and the variance of the heat distribution similarity of all the services, and updating the first threshold value in the next service determination process according to the mean value and the variance. And cleaning the service information according to the calculated heat distribution similarity, namely removing the service information which does not meet the condition that the heat distribution similarity is greater than a second threshold value. Traversing the two service areas according to the cleaned service information, traversing j service areas for service, constructing a service intersection meeting the condition that the sum of the request times of the two service areas is greater than a first threshold value, traversing the intersection service, calculating the heat distribution similarity of the service in the intersection in the two service areas, and correcting the request times of the service in the two service areas when the heat distribution similarity is not greater than a second threshold value. After traversing the intersection service, correcting the intersection service meeting the preset condition, updating the first threshold, the heat distribution similarity mean value and the variance, sorting based on the weight and the heat information, selecting the preset number of services as target services, and caching the target services to a service area.
Fig. 3 is a system diagram of an application service determination method, where the system includes: the system comprises a data recording unit, a heat statistics and strategy sharing unit and a heat cleaning unit.
A data recording unit for recording service request information of a user;
a heat washing unit for executing the service determination method;
and the heat counting and strategy sharing unit is used for counting the service heat information under the MEC node and updating and sharing based on the determined service.
Based on the service determination method, an embodiment of the present application further provides a service determination apparatus, which includes:
fig. 4 is a schematic structural diagram of an apparatus according to an embodiment of the present disclosure. As shown in fig. 4, the apparatus 400 may include an acquisition module 410, a calculation module 420, and a determination module 430.
An obtaining module 410, configured to obtain service information, where the service information includes the number of times that a plurality of users request a plurality of services in two adjacent service areas;
a calculating module 420, configured to calculate heat information of each service based on the service information, where the heat information is used to describe how often the service is requested by the user;
the calculating module 420 is further configured to calculate a similarity of each service heat distribution in two adjacent service areas based on the heat information of each service;
the determining module 430 is configured to determine, when the heat distribution similarity satisfies a preset condition, a service corresponding to the heat distribution similarity satisfying the preset condition as a target service.
The service determining device provided by the embodiment of the application can calculate the heat information of the service according to the service information, further calculate the heat distribution similarity of the service in the two service areas, determine the target service based on the heat distribution similarity, obtain a more accurate determination result and improve user experience.
In some embodiments, the calculation module 420 is configured to calculate the similarity of the distribution of the heat degree of each service in two adjacent service areas based on the heat degree information of each service, and includes: and when the sum of the user request times of each service in the two service areas is not less than a first threshold value, calculating the similarity of the distribution of the heat of each service in the two adjacent service areas based on the heat information of each service.
In some embodiments, the determining module 430 is configured to determine, when the heat distribution similarity satisfies a preset condition, that a service corresponding to the heat distribution similarity satisfying the preset condition is a target service, and includes: clearing service information corresponding to the heat distribution similarity of which the heat distribution similarity does not meet the preset condition; and determining the service corresponding to the heat distribution similarity with the heat distribution similarity meeting the preset condition as the target service based on the removed service information and the heat information.
In some embodiments, the preset condition is that the heat distribution similarity is greater than a second threshold; the determining module 430 is configured to determine, when the heat distribution similarity satisfies a preset condition, that the service corresponding to the heat distribution similarity satisfying the preset condition is a target service, and includes: and when the heat distribution similarity is larger than a second threshold value, determining the service corresponding to the heat distribution similarity meeting the preset condition as the target service based on the heat information of each service.
In some embodiments, the determining module 430 is configured to determine, based on the heat information of each service, that the service corresponding to the heat distribution similarity meeting the preset condition is the target service when the heat distribution similarity is greater than the second threshold, and includes: determining a first service corresponding to the heat distribution similarity larger than a second threshold; and determining a preset number of services in the first service as target services according to the user request frequency of the first service.
In some embodiments, the determining module 430 is configured to determine, when the heat distribution similarity satisfies a preset condition, that a service corresponding to the heat distribution similarity satisfying the preset condition is a target service, and includes: and when the heat distribution similarity meets the preset condition, determining the target service based on the service corresponding to the heat distribution similarity meeting the preset condition and the preset weight value of each service.
In some embodiments, the calculation module 420 is further configured to calculate a service heat similarity mean and variance based on each service heat distribution similarity; a target first threshold is calculated based on the service heat mean and the variance, the target first threshold being used to update the first threshold.
The service determining device provided by the embodiment of the application can calculate the heat information of the service according to the service information, further calculate the heat distribution similarity of the services in two service areas, and determine the target service based on the heat distribution similarity, wherein the heat distribution similarity can reflect whether the number of times of user requests for the service in a certain service area is abnormally increased, the problem service selection is avoided, and a more accurate service determining result is obtained.
Fig. 5 is a schematic diagram illustrating a hardware structure of service determination provided in an embodiment of the present application.
The service determination device may comprise a processor 501 and a memory 502 in which computer program instructions are stored.
Specifically, the processor 501 may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement the embodiments of the present Application.
In one example, memory 502 may include Read Only Memory (ROM), Random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory 502 comprises one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors), it is operable to perform operations described with reference to the methods according to an aspect of the present application.
The processor 501 reads and executes the computer program instructions stored in the memory 502 to implement the methods/steps S100 to S140 in the embodiment shown in fig. 1, and achieve the corresponding technical effects achieved by the embodiment shown in fig. 1 executing the methods/steps thereof, which are not described herein again for brevity.
In one example, the service determination device may also include a communication interface 503 and a bus 510. As shown in fig. 5, the processor 501, the memory 502, and the communication interface 503 are connected via a bus 510 to complete communication therebetween.
The communication interface 503 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present application.
The service determination device may calculate the heat information and the service heat distribution information based on the acquired service information, and further execute the service determination method in the embodiment of the present application, thereby implementing the service determination method described in conjunction with fig. 1.
In addition, in combination with the service determination method in the foregoing embodiment, the embodiment of the present application may be implemented by providing a computer storage medium. The computer storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement any of the service determination methods in the above embodiments.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic Circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present application are described above 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 block of the flowchart illustrations and/or block diagrams, and combinations of 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, 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, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (10)
1. A method for service determination, the method comprising:
acquiring service information, wherein the service information comprises the number of times of requests of a plurality of users to a plurality of services in two adjacent service areas;
calculating heat information of each service based on the service information, wherein the heat information is used for describing the frequency of the service requested by a user;
calculating the distribution similarity of each service heat degree in two adjacent service areas based on the heat degree information of each service;
and when the heat distribution similarity meets a preset condition, determining the service corresponding to the heat distribution similarity meeting the preset condition as a target service.
2. The method of claim 1, wherein the calculating the similarity of the heat distribution of each service in two adjacent service areas based on the heat information of each service comprises:
and when the sum of the user request times of each service in the two service areas is not less than a first threshold value, calculating the distribution similarity of the heat of each service in the two adjacent service areas based on the heat information of each service.
3. The method according to claim 1, wherein when the heat distribution similarity satisfies a preset condition, determining that the service corresponding to the heat distribution similarity satisfying the preset condition is a target service includes:
clearing the service information corresponding to the heat distribution similarity of which the heat distribution similarity does not meet the preset condition;
and determining the service corresponding to the heat distribution similarity with the heat distribution similarity meeting the preset condition as the target service based on the removed service information and the heat information.
4. The method according to claim 3, wherein the preset condition is that the heat distribution similarity is greater than a second threshold; when the heat distribution similarity meets a preset condition, determining that the service corresponding to the heat distribution similarity meeting the preset condition is a target service, including:
and when the heat distribution similarity is larger than the second threshold, determining the service corresponding to the heat distribution similarity meeting the preset condition as a target service based on the heat information of each service.
5. The method according to claim 4, wherein when the heat distribution similarity is greater than the second threshold, determining, based on the heat information of each service, that the service corresponding to the heat distribution similarity meeting the preset condition is a target service includes:
determining a first service corresponding to the heat distribution similarity larger than the second threshold;
and determining a preset number of services in the first service as target services according to the user request frequency of the first service.
6. The method according to claim 1, wherein when the heat distribution similarity satisfies a preset condition, determining that the service corresponding to the heat distribution similarity satisfying the preset condition is a target service includes:
and when the heat distribution similarity meets a preset condition, determining a target service based on the service corresponding to the heat distribution similarity meeting the preset condition and a weight value preset by each service.
7. The method of claim 2, further comprising:
calculating the mean value and variance of the service heat degree similarity degree based on the distribution similarity degree of each service heat degree;
calculating a target first threshold based on the service heat mean and variance, the target first threshold being used to update the first threshold.
8. A service determination apparatus, characterized in that the apparatus comprises:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring service information, and the service information comprises the request times of a plurality of users to a plurality of services in two adjacent service areas;
the calculating module is used for calculating heat information of each service based on the service information, and the heat information is used for describing the frequency of the service requested by the user;
the calculation module is further configured to calculate a similarity of heat distribution of each service in two adjacent service areas based on the heat information of each service;
and the determining module is used for determining the service corresponding to the heat distribution similarity meeting the preset condition as the target service when the heat distribution similarity meets the preset condition.
9. A service determination device, the device comprising: a processor, and a memory storing computer program instructions;
the processor reads and executes the computer program instructions to implement the service determination method of any one of claims 1-7.
10. A computer storage medium having computer program instructions stored thereon which, when executed by a processor, implement the service determination method of any one of claims 1-7.
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| CN202111125625.7A CN113852692B (en) | 2021-09-24 | 2021-09-24 | Service determination method, device, equipment and computer storage medium |
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