Service area determination method and device, equipment and storage medium

Abstract

The embodiment of the invention discloses a service area determination method and device, equipment and a storage medium, and the method comprises the steps: obtaining an evaluation information set which is determined in advance relative to a target business item, and the evaluation information set comprises business response feedback information, business object business range information and business object business resource information; respectively determining at least one service object candidate set, at least one first service object candidate set and at least one second service object candidate set according to the service response feedback information, the service object service range information and the service object service resource information; and performing cross combination on the at least one service object candidate set, the at least one first service object candidate set and the at least one second service object candidate set to form candidate service areas, and selecting a target service area meeting the received area construction configuration information from the candidate service areas. By utilizing the method, the users of the same business theme can be more accurately aggregated, the coverage range and convenience of the service of the service area can be improved, and the business object response popularity and the user stickiness can be better increased.

Description

TECHNICAL FIELD

[0001] Embodiments of the present disclosure relate to the technical field of computer, and particularly, to a service area determination method and device, equipment and storage medium. BACKGROUND

[0002] With the development of the Internet, the e-commerce mode has also derived more new forms from the traditional remote transaction form, such as the service area operation form of online and offline integration. Through the derived new e-commerce mode, users can have a better experience in purchase timeliness and supported service categories.

[0003] In service area operation, the service points providing services for users are scattered, and there is no way to provide better services for more suitable users. Therefore, it is considered to determine the service area according to the differences of the service points, so as to improve the service level and interaction quality of the service points by carrying out business-related services in the service area, thereby providing the service experience of the served users.

[0004] However, in the existing implementation of determining the service area and aggregating the service points, the purchase situation, the collection situation and the browsing situation of the service points involved in the business are mainly focused on, and the aggregation of the service area is greatly affected by the business response feedback data. However, the evaluation index of the business response feedback data is relatively single and cannot provide accurate data feedback, thereby affecting the accuracy of the service area determination, and the service points included in the determined service area may also not be able to provide better business experience for users.

[0005] Therefore, how to better balance the scale of the determined service area and the business resource capability of the service points in the service area has become a problem to be solved at present. SUMMARY

[0006] Embodiments of the present disclosure provide a service area determination method, device, equipment and storage medium, which can realize that the service area scale of the formed service area is more matched with the provision capability of the business resource in the service area.

[0007] In a first aspect, the embodiments of the present disclosure provide a service area determination method, which comprises:

[0008] obtaining an evaluation information set determined in advance with respect to a target business item, wherein the evaluation information set comprises business response feedback information of the business item, business object business range information and business object business resource information;

[0009] determining at least one service object candidate set, at least one first business object candidate set and at least one second business object candidate set, respectively, according to the business response feedback information, the business object business range information and the business object business resource information.

[0010] According to the obtained regional construction configuration information, the target service area corresponding to the target service item is determined in combination with the at least one service object candidate set, the at least one first service object candidate set, and the at least one second service object candidate set.

[0011] In a second aspect, the embodiments of the present disclosure further provide a service area determination apparatus, which comprises:

[0012] The acquisition module is configured to acquire a set of evaluation information determined in advance with respect to the target service item, wherein the set of evaluation information comprises service response feedback information of the service item, service object service range information, and service object service resource information.

[0013] The first determination module is configured to determine at least one service object candidate set, at least one first service object candidate set, and at least one second service object candidate set respectively according to the service response feedback information, the service object service range information, and the service object service resource information.

[0014] The second determination module is configured to determine the target service area corresponding to the target service item in combination with the at least one service object candidate set, the at least one first service object candidate set, and the at least one second service object candidate set according to the obtained regional construction configuration information.

[0015] In a third aspect, the embodiments of the present disclosure further provide a computer device, which comprises:

[0016] one or more processors;

[0017] a storage apparatus configured to store one or more programs,

[0018] When the one or more programs are executed by the one or more processors, the one or more processors implement the service area determination method provided by any of the embodiments of the present disclosure.

[0019] In a fourth aspect, the embodiments of the present disclosure further provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the service area determination method provided by any of the embodiments of the present disclosure.

[0020] In a fifth aspect, the embodiments of the present disclosure further provide a computer program product comprising a computer program, wherein the computer program is executed by a processor to implement the service area determination method provided by any of the embodiments of the present disclosure.

[0021] The technical scheme of the embodiment of the present disclosure specifically discloses a service area determination method, device, equipment and storage medium. The method first acquires an evaluation information set determined in advance relative to a target service item, the evaluation information set including service response feedback information, service object service range information and service object service resource information, and then determines at least one service object candidate set, at least one first service object candidate set and at least one second service object candidate set according to the service response feedback information, the service object service range information and the service object service resource information; and determines a target service area corresponding to the target service item according to obtained area construction configuration information, in combination with the at least one service object candidate set, the at least one first service object candidate set and the at least one second service object candidate set. The technical scheme of the embodiment described above is different from the prior art, which only analyzes from the perspective of service response feedback, and additionally introduces the influence of the service resource possessed by the service object of the service item and the service range involved by the service object on service area determination, and determines a service area with more balanced service quality and service area size from a multi-dimensional analysis mode by combining the service response feedback involved by the service object relative to a certain service item, the service range possessed by the service object involved by the service item and the service resource. In this way, the service area size can be reasonably expanded, and the service object service experience can be significantly improved, so that the service points in the service area are more targeted, thereby achieving the effect of prolonging the service area life cycle and improving the interaction quality and service object response heat of the service area. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical scheme of the exemplary embodiments of the present disclosure, the drawings needed in the description of the embodiments are briefly introduced below. Obviously, the drawings introduced are only a part of the drawings of the present disclosure to be described, and not all the drawings. Those skilled in the art can obtain other drawings according to these drawings without creating any creative labor.

[0023] Figure 1 A flowchart of a service area determination method provided by the embodiment of the present disclosure is shown in the figure.

[0024] Figure 2 A structural diagram of a service area determination device provided by the embodiment of the present disclosure is shown in the figure.

[0025] Figure 3 A structural diagram of a computer device provided by the embodiment of the present disclosure is shown in the figure. DETAILED DESCRIPTION

[0026] Embodiments of the present disclosure will be described below in greater detail with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is understood that the present disclosure can be embodied in various forms and should not be interpreted as being limited to the embodiments set forth herein; rather, these embodiments are provided so as to more completely and thoroughly understand the present disclosure. It is understood that the drawings and embodiments of the present disclosure are for exemplary purposes only and are not intended to limit the scope of protection of the present disclosure.

[0027] It should be understood that each step recited in the method embodiments of the present disclosure can be performed in different orders and / or in parallel. In addition, the method embodiments can include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0028] As used herein, the term "comprises" and variations thereof are open-ended, meaning "includes but not limited to". The term "based on" means "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Related definitions will be given in the description below.

[0029] It should be noted that the terms "first", "second", and the like in the present disclosure are only used to distinguish different devices, modules or units, and are not intended to limit the order or interdependence of the functions performed by these devices, modules or units. It should be noted that the terms "one", "multiple" in the present disclosure are illustrative and not limiting, and those skilled in the art should understand that "one" or "multiple" should be understood as "one or more" unless otherwise explicitly stated in the context.

[0030] The names of the messages or information exchanged between the devices in the embodiments of the present disclosure are only for illustrative purposes, and are not intended to limit the scope of the messages or information.

[0031] The names of the messages or information exchanged between the devices in the embodiments of the present disclosure are only for illustrative purposes, and are not intended to limit the scope of the messages or information.

[0032] It can be understood that before using the technical solutions disclosed in the embodiments of the present disclosure, the type, scope of use, use scenario, etc. of the personal information involved in the present disclosure should be informed to the user and the authorization of the user should be obtained in accordance with relevant laws and regulations.

[0033] For example, in response to receiving an active request of a user, prompt information is sent to the user to explicitly prompt the user that the operation requested to be performed will require obtaining and using personal information of the user. Thus, the user can autonomously select whether to provide personal information to the software or hardware, such as an electronic device, an application program, a server, or a storage medium, etc. that performs the operation of the technical solution of the present disclosure according to the prompt information.

[0034] As an optional but non-limiting implementation, in response to receiving an active request of a user, the manner of sending prompt information to the user may, for example, be a pop-up window manner, in which the prompt information can be presented in the form of text. In addition, the pop-up window can also carry selection controls for the user to select "agree" or "disagree" to provide personal information to the electronic device.

[0035] It can be understood that the above notification and obtaining user authorization process is only illustrative and does not limit the implementation of the present disclosure, and other manners that meet relevant laws and regulations can also be applied to the implementation of the present disclosure.

[0036] Figure 1 A flowchart of a service area determination method provided by the embodiment of the present disclosure is shown. The embodiment can be applied to the case of determining a service area. The method can be executed by a service area determination apparatus, which can be implemented by software and / or hardware, and can be configured in a terminal and / or a server to implement the service area determination method in the embodiment of the present disclosure.

[0037] As shown in Figure 1 The service area determination method provided by the embodiment can specifically include the following steps:

[0038] S101, obtaining an evaluation information set determined in advance with respect to a target business item, the evaluation information set including business response feedback information of the business item, business object business range information, and business object business resource information.

[0039] In the embodiment, the business item can be considered as an e-commerce business supported on an e-commerce platform, and the target business item can be considered as an e-commerce business that has a service area determination demand, and the target business item has a corresponding business type. The business type can be defined according to a classification label to which the business belongs. For example, tourism, housekeeping, maternity, furniture, etc. in the classification label can be defined as a business type.

[0040] In the embodiment, to determine the service area around the target service item, evaluation indexes can be set in the dimensions of service objects and service objects, and then corresponding evaluation information can be determined for the evaluation indexes in different dimensions through analysis of the business operation events and business data involved in the target service item. The evaluation information in multiple dimensions can constitute the evaluation information set of the embodiment, wherein the evaluation index in the dimension of service objects can be set as business response feedback information generated by the target service item to the service objects, and the evaluation index in the dimension of service objects can be set as the size of the business scope and the business resource situation of the service objects.

[0041] In the embodiment, the service object can be understood as a demand person or user of the target service item, and the service object can be understood as an operator, supplier or operator of the target service item. At the same time, the evaluation information set can be determined in advance according to the analysis of the historical business data and business related operation events involved in the target service item. Specifically, the business response feedback information involved in the dimension of service objects as an evaluation index can be determined; the business scope of the service object in the dimension of service objects as the corresponding business object business scope information of the evaluation index can be determined; and the business resource situation of the service object as the corresponding business object business resource information of the evaluation index can be determined. The pre-determined evaluation information set can be obtained in this step.

[0042] It should be noted that the number of business response feedback information included in the evaluation information set can be the same as the number of analyzed service objects, and the number of business object business scope information and business object business resource situation included can be the same as the number of analyzed service objects.

[0043] For the determination of the evaluation information included in the evaluation information set, taking the determination of the business response feedback information as an example, the business data generated by the target service item and the business operation events responded within a historical time period can be obtained, and based on this, it can be analyzed which service objects are involved, and the response feedback data of the target service item to different service objects can be analyzed, such as the display time of the target service item in the page display state when the service object triggers the browsing event of the target service item, and the business response frequency corresponding to the click of the target service item. Then the response feedback data can be quantified, such as different display time corresponding to different time setting scores, different response events corresponding to different weighting coefficients, etc. Finally, the determined quantified information can be determined as the business response feedback information of the target service item to the service objects. It can be seen that the corresponding business response feedback information can be determined for different service objects.

[0044] For example, in the case of determining the business object business range information, the attribute information of the business object relative to the target business item can be obtained, such as the geographic location where the target business item is provided and the physical range that can be served, and the administrative location of the business object can be formed based on the geographic location, the physical range served, and the like, such as being located in the South China region or the North China region. The business range of the business object can also be formed, such as the business reach distance radiating outward from the location. Finally, the location information and the business range size can be determined as the business object business range information of the business object relative to the target business item. Similarly, the business object business range information also corresponds to the business object.

[0045] For example, in the case of determining the business object business resource information, the business resource situation of the business object relative to the target business item can be analyzed from multiple sub-dimensions, which can include the product selection situation of the business item, the sales situation of the business promotion involved by the business item, the communication situation of the customer communication involved by the business item, and the order management situation of the order involved, and the like. Similarly, the business resource situation of each sub-dimension can be quantified and the determination of the weighting coefficient, and finally the evaluation score possessed by each sub-dimension can be obtained, and the weighted value of all evaluation scores can be used as the business resource information of the business object.

[0046] S102, according to the business response feedback information, the business object business range information, and the business object business resource information, at least one service object candidate set, at least one first business object candidate set, and at least one second business object candidate set are determined respectively.

[0047] In the embodiment, the business response feedback information obtained by the above step corresponds to the evaluation index of business response feedback, the business object business range information corresponds to the evaluation index of business object business range, and the business object business resource information corresponds to the evaluation index of business object business resource situation. The different evaluation indexes can be regarded as an aggregation dimension in the embodiment, and information aggregation can be performed relative to each aggregation dimension. The aggregation result can form a candidate set under the aggregation dimension, and can also be regarded as a candidate set corresponding to the evaluation index. It should be noted that an aggregation threshold value needs to be set when performing information aggregation, and the candidate set formed by the aggregation threshold value is different.

[0048] Exemplarily, under the service object dimension of the evaluation index of service response feedback, it can be known that different target service items respectively exist corresponding service response feedback information relative to the service object. The embodiment can set different feedback thresholds under the service object dimension, and the feedback threshold can be an integer value from 1 to 10. And the aggregation of the service object can be realized relative to different feedback thresholds, and the corresponding service object candidate set is formed. The embodiment is equivalent to obtaining at least one service object candidate set relative to the combination of the business response feedback information based on different feedback thresholds. Wherein, it can be considered that the higher the feedback threshold is, the more strict the aggregation condition is, and the number of service objects meeting the condition is relatively small. The smaller the feedback threshold is, the more the number of service objects meeting the condition is.

[0049] Similarly, under the business range evaluation dimension of the evaluation index of the business object business range, it can be known that different business objects respectively exist corresponding business object business range information. The embodiment can set different business range thresholds under the business range evaluation dimension, and the embodiment can form a radius threshold interval according to the maximum business reachable distance and the minimum business reachable distance, from which a plurality of business range thresholds can be obtained. And the aggregation of the business object can be realized relative to different business range thresholds, and the corresponding business object candidate set is formed. The embodiment is equivalent to obtaining at least one business object candidate set relative to the combination of the business object business range information based on different business range thresholds, which can be recorded as the first business object candidate set. Wherein, it can be considered that the higher the business range threshold is, the narrower the aggregation condition is, and the number of business objects meeting the condition is relatively small. The smaller the business range threshold is, the more the number of business objects meeting the aggregation condition is.

[0050] According to the above description, under the business resource situation evaluation dimension of the evaluation index of the business object business resource situation, it can be known that different business objects respectively exist corresponding business object business resource information. The embodiment can set different resource screening conditions under the business resource situation evaluation dimension, and the embodiment can form a screening threshold interval by analyzing the historical business resource information of different business objects, from which a plurality of different resource screening thresholds can be obtained to form the resource screening condition. And the aggregation of the business object can be realized relative to different resource screening conditions, and the corresponding business object candidate set is formed. The embodiment is equivalent to obtaining at least one business object candidate set based on the combination of the business object business resource information based on different screening threshold intervals, which can be recorded as the second business object candidate set.

[0051] It can be considered that the higher the resource screening condition screening strength, the narrower the aggregation condition, and the relatively less the number of business objects meeting the condition. The lower the resource screening condition screening strength, the relatively more the number of business objects meeting the aggregation condition. It can be known that the business objects contained in the first business object candidate set determined in the embodiment are different, and the business objects contained in the first business object candidate set and the second business object candidate set are also different.

[0052] S103, according to the obtained area construction configuration information, combining the at least one service object candidate set, the at least one first business object candidate set, and the at least one second business object candidate set, determining a target service area corresponding to the target business item.

[0053] In the embodiment, it can be known from the above description that different service object candidate sets correspond to different feedback thresholds, different first business object candidate sets correspond to different business range thresholds, and different second business object candidate sets correspond to different resource screening conditions. Different thresholds or screening conditions set under each evaluation dimension correspond to different screening strengths determined for the service area.

[0054] In the embodiment, the service area determination under multiple evaluation dimensions can be realized by cross-combining the candidate sets under two or more evaluation dimensions. Since there are relatively different screening strengths under a single evaluation dimension, there are service object candidate sets and / or business object candidate sets, therefore, the number of combinations that can be cross-combined by multiple evaluation dimensions is related to the number of service object candidate sets or business object candidate sets contained under each evaluation dimension.

[0055] It can be seen that the process of determining the candidate service area in the embodiment is equivalent to the process of screening and combining the service object candidate sets or business object candidate sets corresponding to different thresholds possessed by different evaluation dimensions in different combination manners. For example, taking the feedback threshold of 5, the business range threshold of 2km, and the resource screening threshold of 90 in the resource screening condition as an example, first, the first service object candidate set corresponding to the feedback threshold of 5 under the service object dimension, the first business object candidate set corresponding to the business range threshold of 2km under the business range evaluation dimension, and the second business object candidate set corresponding to the resource screening threshold of 90 in the resource screening condition under the business resource situation evaluation dimension are selected. Then, the determined first service object candidate set, the first business object candidate set, and the second business object candidate set are cross-fused, and the set formed by cross-fusion is considered as the fusion set of service objects and business objects, thereby obtaining the target service area containing service objects and adapted business objects.

[0056] In the embodiment, the region construction configuration information can be considered as a fusion of target threshold values of expected settings under different evaluation dimensions, which can be determined by the execution subject through behavior analysis and prediction of the service object and the business object. The region construction configuration information can also be formed by the threshold conditions edited by the service object or the business object using the client.

[0057] In an optimization, the region construction configuration information sent from the service object client and / or the business object client can be optimized, and the region construction configuration information of the service object client and / or the business object client is determined by the construction editing information edited in the construction editing interface. For example, assuming that the service object client and / or the business object client has a threshold configuration function item, the corresponding client (which can be a service object client or a business object client) can present a construction editing interface by triggering the threshold configuration function item by the operator, and thus the threshold information edited by the operator can be obtained. The threshold information edited by the client forms the region construction configuration information and is fed back to the execution subject. The execution subject can be considered as a platform server of an e-commerce platform.

[0058] In another optimization, the region construction configuration information can be determined by the prediction result of a preset service region construction prediction model, which is used to predict the service object change trend of the service object facing the target business item, and / or to predict the business object business capability development trend of the target business item. For example, the execution subject can predict the service object change trend of the service object facing the target business item by a prediction model, so as to determine the possible feedback threshold value based on the prediction result. Similarly, the business object business capability development trend can also be predicted, so that the matching business range threshold value and resource screening condition can be determined based on the prediction result. The execution subject can form the region construction configuration information based on the predicted feedback threshold value, business range threshold value and resource screening condition.

[0059] For example, the service object change trend can be that the heat and / or business demand of the service object for the target business item gradually increases, at this time, the feedback threshold value can be appropriately lowered, and the business range threshold value can also be appropriately increased, so as to expand the range of the service region business range and obtain more potential service objects. Another case of the service object change trend can be that the heat and / or business demand of the service object for the target business item decreases or tends to be stable, at this time, the feedback threshold value can be appropriately increased, and the business range threshold value can also be appropriately lowered, so as to ensure that the service region size and business resource condition are more suitable.

[0060] According to the above description, the prediction model used by the execution subject can be a long short-term memory model. For an initially constructed long short-term memory model, historical response feedback data of a target service item relative to a service object, event response data, and service development data of the service object can be used as sample data for training, so that the long short-term memory model can effectively predict the service object change trend and the service object service resource change.

[0061] The service area determination method provided in this embodiment is different from the existing service area determination method which only analyzes from the perspective of service response feedback. The technical solution additionally introduces the influence of the business resource situation of the service object of the business item and the business range involved by the service object on service area determination. The business response feedback of a certain business item relative to a service object, the business range and business resources possessed by the service object involved by the business item are combined to determine a service area with more balanced business quality and service area size from a multi-dimensional analysis method. In this way, the service area size can be reasonably expanded, and the service object service experience can be significantly improved, so that the service points in the service area are more targeted to the objects, thereby achieving the effect of prolonging the life cycle of the determined service area and improving the interaction quality and service object response heat of the service area.

[0062] As a first optional embodiment of this embodiment, on the basis of the above optimization, a specific implementation of determining an evaluation information set relative to a target business item is added. Further, the implementation steps of the evaluation information set relative to the target business item can include:

[0063] a1) Statistics the business response feedback information of the target business item relative to different service objects within a historical time length.

[0064] In this optional embodiment, the determination implementation of the business response feedback information is given. The historical time length can be set according to experience, which can be one week, half a month, one month, or even two months. The service object can be considered as a user who interacts with the target business item. The operation attribute information of the service object facing the target business item can be obtained. The operation attribute information can be understood as response information generated by the service object relative to the target business item. The interaction operation can be a browsing operation, a collection operation, and a forwarding or sharing operation. Therefore, the operation attribute information can specifically include the display time length of the browsing operation, whether it is collected, the forwarding or sharing frequency, and the communication time length with the business personnel of the target business item. Any information generated after interacting with the target business item can be used as operation attribute information.

[0065] In the embodiment, the service response feedback information of the target service item relative to the service object can be obtained by quantifying the operation attribute information. For example, in one implementation, the display time in the operation attribute information can be counted and the evaluation score corresponding to the display time can be determined, and the corresponding evaluation score can also be given for the collection, the number of forwarding or sharing, etc. In the embodiment, a weighting coefficient can be set for each operation attribute item, such as setting a coefficient of 0.3 for browsing the attribute item, setting a coefficient of 0.3 for forwarding or sharing, and setting a coefficient of 0.2 for communication, etc. Finally, the result value obtained by weighting the coefficient and the corresponding evaluation score can be used as the service response feedback information.

[0066] b1) determining the corresponding service object service range information and the service object service resource information according to the service object attribute information of different service objects associated with the target service item and the service execution information in different service attribute dimensions.

[0067] In the embodiment, the determination of the service object service range information and the service object service resource information can also be achieved through the step. The service object can be considered as a service provider or an operator who provides the target service item. The service object often has service object attribute information in actual scenarios, which can include the name, identification, real geographical location, service range, etc. of the service object. According to the real geographical location and the service range in the service object attribute information, a service information of the service object can be formed according to the geographical location, the category of the service item, and the range size of the involved service range. The service information can be used as the service object service range information of the service object.

[0068] In the embodiment, the service resource situation of the service object can also be evaluated from multiple service attribute dimensions of the service item, wherein the service attribute dimensions can include the product selection situation, the sales promotion situation, the customer communication situation, the order management situation, the team organization situation, the service operation situation, the logistics performance situation, the data analysis situation, the response handling situation, and the operation accounting situation, etc. of the service item. In the embodiment, the evaluation score of the service object in each service attribute dimension can be determined according to the historical service response service data of the service object to realize the quantification of the service resource situation. Finally, the comprehensive score obtained by comprehensively weighting the evaluation scores of each service attribute dimension can be used as the service object service resource information of the embodiment.

[0069] c1) forming the evaluation information set based on the service response feedback information of each service object, the corresponding service object service range information, and the service object service resource information.

[0070] In the embodiment, the service response feedback information, the service object service range information and the service object service resource information correspond to evaluation information of different evaluation dimensions respectively, and the number of the involved service objects and service objects is not only one, and the evaluation information is respectively related to each service object or service object, so it can be considered that each evaluation dimension contains a certain scale of evaluation information, and the embodiment forms the evaluation information set based on the evaluation information of a certain scale in each evaluation dimension.

[0071] The technical solution of the embodiment provides basic data support for the logical service of the service area determination. Compared with the evaluation information determined in a single evaluation dimension in the existing service area determination, the technical solution of the embodiment additionally provides evaluation and analysis of the service range and the service resource of the service object. This kind of mode improves the accuracy of the service response feedback evaluation, and also provides the coverage and convenience of the service, and can better meet the consumption demand of different service objects for the target service item; meanwhile, the evaluation of the service resource of the service object is improved, and the balance between the service area scale and the service resource of the service area of the determined service area dimension is better.

[0072] On the basis of the first optional embodiment, the service object attribute information of different service objects associated with the target service item and the service execution information in different business attribute dimensions can be further specified as:

[0073] b11) obtaining the service object attribute information of different service objects associated with the target service item.

[0074] Exemplarily, the service object attribute information can include the store name managed by the service object, the service object identifier, the geographic location of the service object, the maximum service length possessed by the service object, etc.

[0075] b12) for each service object, determining the corresponding service object service range information according to the service object attribute information of the service object, wherein the service object service range information includes the location information of the service object and the service radius size.

[0076] In the embodiment, the geographic location and the service length of the service object can be integrated to form the service object service range information. For example, South China | business type | 5km can be used as the service object service range information corresponding to a service object. Among them, South China can be regarded as the location information of the service object, and 5km can be regarded as the service radius size of the service object at the physical location. The embodiment can determine the service object service range information for each service object through the step. Specifically, the service object service range information can be obtained by analyzing the service object attribute information.

[0077] b13) Obtain the business response information of the business object relative to the target business item under different business attribute dimensions, and determine the sub-business resource information under the corresponding business attribute dimension based on the business response information.

[0078] For example, as described above, different business attribute dimensions include product selection, sales and promotion, customer communication, order management, team organization, business operations, logistics fulfillment, data analysis, contingency handling, and operational accounting for the products involved in the business item. The business response information relative to the target business item represents the business information or business description information under that business attribute dimension.

[0079] For example, under the business attribute dimension of order management, the corresponding business response information could include the accuracy of order information records, the completeness of order information, completed order information, and shipped order information, recorded under different conditions. Similarly, under the business attribute dimension of contingency handling, the corresponding business response information could include: a description of the business response methods for handling emergencies, response speed records, and processing time records. Emergencies could include product shortages or delivery anomalies related to the business item.

[0080] Following the above description, the business attribute dimension of "product selection" includes records of information such as product selection price, product appearance, and product source; the business attribute dimension of "sales and promotion" includes records of advertising and promotion activities for the products involved in the business item. Similarly, the business attribute dimension of "customer communication" includes log records of whether customer inquiries and questions were answered promptly, clearly, and amicably, as well as records of handling complaints and suggestions.

[0081] Based on this, this embodiment can perform quantitative processing on the business response information based on each business attribute dimension to obtain the corresponding evaluation score. In this embodiment, the evaluation score can be regarded as the sub-business resource information under the corresponding business attribute dimension.

[0082] b13) Determine the business object business resource information of the business object relative to the target business item based on the sub-business resource information of each of the sub-businesses.

[0083] For example, this embodiment can ultimately obtain the business object resource information required by this embodiment by comprehensively weighting the sub-business resource information (evaluation scores) of each business attribute dimension. Different business attribute dimensions can be assigned different weighting coefficients according to the different needs in the actual scenario.

[0084] The technical solution of the embodiment described above gives a specific determination process of the service object service range information and the service object service resource information. The part of data can be considered as the rating information under the enhanced evaluation dimension of the existing service area. Through the new evaluation information, the discovered service area can have better interaction quality, and the user satisfaction can be better improved, and the response heat of the service object can be enhanced.

[0085] As a second optional embodiment of the embodiment, the determination of the at least one service object candidate set, the at least one first service object candidate set, and the at least one second service object candidate set according to the service response feedback information, the service object service range information, and the service object service resource information can be further specified as the following steps:

[0086] a2) filtering the service response feedback information according to the set at least one feedback threshold to obtain the service object candidate set corresponding to each feedback threshold.

[0087] In the embodiment, a plurality of different feedback thresholds can be set to filter whether the service object meets the candidate requirement through the feedback threshold. The specific implementation can be described as follows: assuming that there are 10 feedback thresholds, for each feedback threshold, the service response feedback information can be compared with the feedback threshold, and if it is greater than the feedback threshold, it is considered that the service object meets the candidate requirement, and it can be aggregated into the service object candidate set.

[0088] It can be understood that one service object candidate set corresponds to one feedback threshold, and the service object candidate set includes the service objects meeting the feedback threshold filtering condition. It can be known that the higher the feedback threshold is, the fewer the number of service objects included in the service object candidate set is.

[0089] b2) filtering the service object service range information according to the set at least one business radius filtering condition to obtain the first service object candidate set corresponding to each business radius filtering condition.

[0090] In the embodiment, a plurality of different business radius filtering conditions can also be set, wherein the business radius filtering condition can set different filtering for the location information of the service object, or set different filtering thresholds for the service range. Through the business radius filtering condition, the service object meeting the candidate requirement can be filtered out. Similarly, different business radius filtering conditions can correspond to one service object candidate set. It can be known that according to the difference of the location information and the radius threshold, the business radius filtering condition with more comprehensive filtering granularity and finer can be set.

[0091] A specific implementation can be described as follows: assuming that the location information participating in screening is divided into South China, North China, East China, and West China, and the like, and the physical location of the service object is taken as a circle point, the radius length is set as 1 km, 2 km, 5 km, or even 10 km, and the service range threshold is set. In this way, a certain scale of service radius screening conditions can be set, and for each service radius screening condition, whether it can be a candidate can be determined through the location information and radius information of the service object, and if it can be a candidate, it can be aggregated into a service object candidate set. The service object candidate set is recorded as a first service object candidate set in this embodiment.

[0092] c2) screening the service object business resource information according to the set at least one resource screening condition, to obtain a second service object candidate set corresponding to each resource screening condition.

[0093] In this embodiment, the resource screening condition can also be set by multiple settings. Assuming that the full score of the information score in the service object business resource information is 100 points, multiple resource threshold intervals can be divided, and each resource threshold interval can be regarded as a resource screening condition. For example, [1, 10] is a resource screening condition, and similarly, [11, 20], [21, 30], and [91, 100] can also be a resource screening condition. This embodiment can form a corresponding service object candidate set relative to the resource screening condition by determining which resource screening condition the service object business resource information falls into, and the service object candidate set is recorded as a second service object candidate set in this embodiment.

[0094] The above technical solution of this embodiment gives a specific implementation of the candidate set determination, realizes the fine granularity of the service area determination by determining the corresponding candidate set under each evaluation dimension at different thresholds, ensures that the discovered service area has higher accuracy, and better improves the pertinence and attractiveness of the service area. At the same time, it can also better screen out high-quality service areas with more matched service area scale and service area business resource conditions.

[0095] As a third optional embodiment of this embodiment, on the basis of the above-mentioned embodiments, the target service area corresponding to the target service item can be further specified as the following steps by combining the obtained area construction configuration information with the at least one service object candidate set, the at least one first service object candidate set, and the at least one second service object candidate set:

[0096] a3) analyzing the area construction configuration information, and obtaining the set target feedback threshold, target business radius screening condition, and target resource screening condition from the area construction configuration information.

[0097] Exemplarily, the region construction configuration information can be determined by the execution subject through a prediction model or sent by the service object client and / or the business object client. The region construction configuration information includes the target feedback threshold, the target business radius screening condition, and the target resource screening condition determined or configured with respect to the three evaluation dimensions.

[0098] b3) selecting a target service object candidate set corresponding to the target feedback threshold from the at least one service object candidate set.

[0099] Exemplarily, different service object candidate sets corresponding to different feedback thresholds are known, and after the target feedback threshold is known, the service object candidate set corresponding to the target feedback threshold can be obtained, which is denoted as a target service object candidate set in this embodiment.

[0100] c3) selecting a first target business object candidate set corresponding to the target business radius screening condition from the at least one first business object candidate set.

[0101] Exemplarily, different first business object candidate sets corresponding to different business radius screening conditions are known, and after the target business radius screening condition is known, the first business object candidate set corresponding to the target business radius screening condition can be obtained, which is denoted as a first target business object candidate set in this embodiment.

[0102] d3) selecting a second target business object candidate set corresponding to the target resource screening condition from the at least one second business object candidate set.

[0103] Exemplarily, different second business object candidate sets corresponding to different resource screening conditions are known, and after the target resource screening condition is known, the second business object candidate set corresponding to the target resource screening condition can be obtained, which is denoted as a second target business object candidate set in this embodiment.

[0104] e3) cross-combining the target service object candidate set, the first target business object candidate set, and the second target business object candidate set to obtain a target object set, wherein the target object set includes at least one service object and at least one business object screened out.

[0105] In this embodiment, it can be known that the target service object candidate set includes service objects meeting the target feedback threshold, the first target business object candidate set includes first business objects meeting the target business radius screening condition, and the second target business object candidate set includes second business objects meeting the target resource screening condition.

[0106] The step can preliminarily screen the service objects and the business objects according to geographical position information of the service objects and the business objects when cross-combining the service objects, the first business objects and the second business objects, and then can determine target service objects and target business objects corresponding to a proportion of a biasing coefficient set according to different evaluation dimensions from the preliminarily screened service objects and business objects, and thereby form a target service area containing the target service objects and the target business objects.

[0107] f3) determining a target service area according to the target object set.

[0108] In the embodiment, the determined target object set can be determined as the target service area.

[0109] Compared with the evaluation information determined in a single evaluation dimension in the prior art service area determination, the technical solution of the embodiment simultaneously adds evaluation and analysis of the business range and the business resource situation of the business objects. This kind of mode improves the accuracy of the business response feedback evaluation, also provides the coverage range and the convenience of the service, and can better meet the consumption demand of different service objects relative to the target business item; meanwhile, the evaluation of the business resource situation of the business objects is improved, and the balance between the service area scale and the service area business resource situation of the determined service area dimension is better.

[0110] As a fourth optional embodiment of the embodiment, on the basis of the above optimization, further optimization can include: performing service area business quality evaluation on the target service area according to a set service area evaluation index, to obtain a business quality evaluation result.

[0111] It can be known that the target service area found by the above mode can be put into actual application of the target business item, and whether the found service area has good service area interaction quality can be evaluated through application results or application feedback of the target service area in actual application.

[0112] The evaluation of the service area interaction quality can be described as follows: after the found target service area is put into actual application of the target business item, the response heat of the service area, the participation degree of the service object, the communication quality of the service object and the business object and the offline business participation situation of the service object can be continuously monitored, the above monitored information is quantified as an evaluation index, and the evaluation result of the service interaction quality is obtained through the quantification result.

[0113] Specifically, on the basis of the fourth optional embodiment, the service area business quality evaluation on the target service area according to the set service area evaluation index to obtain the business quality evaluation result can be further optimized as the following step:

[0114] a4) obtaining the service response business data of the target service area, and determining the index value of the service area evaluation index according to the service response business data, the service area evaluation index including the business object response heat, the service object response heat, the interaction quality score of the service object and the business object, and the business participation score of the service object.

[0115] In the embodiment, after the target service area is determined, the business situation of the target service area in the actual application of the target business item can be continuously monitored. The monitoring can be realized through the service response business data corresponding to the target service area. In the actual operation of the target business item, the service response business data that can be obtained relative to the target service area can include the transaction record information of the service object in the service area, the message publishing record information of the business object, the interaction record information of the business object and the service object, and the like.

[0116] In the embodiment, the service area evaluation index can include the business object response heat, the service object response heat, the interaction quality of the service object and the business object, the business participation heat of the service object, and the like. In this step, the index value of each service area evaluation index can be determined through the analysis and quantification of the above-mentioned service response business data. For example, the specific value of the business object response heat and the service object participation heat in the service area can be determined, and the interaction quality score and the business participation score can also be determined.

[0117] b4) determining the service area interaction quality of the target service area according to the index value of the service area evaluation index and the preset evaluation threshold, and obtaining the business quality evaluation result of the target service area.

[0118] In the embodiment, different service area evaluation indexes can correspond to different evaluation thresholds, and the evaluation threshold can be regarded as an experience value determined through historical service response business data. In this step, when all the index values are higher than the corresponding evaluation threshold, or when the preset several index values are higher than the corresponding evaluation threshold, it can be determined that the target service area has good service area interaction quality. According to the number of index values meeting the requirements, different business quality evaluation results can be set.

[0119] For example, when only one index value meets the requirements, the interaction quality can be determined as poor as the business quality evaluation result; when two index values meet the requirements, the interaction quality can be determined as general as the business quality evaluation result; when three index values meet the requirements, the interaction quality can be determined as good as the business quality evaluation result; and when four or more index values meet the requirements, the interaction quality can be determined as excellent as the business quality evaluation result.

[0120] The technical solution of the embodiment provides a specific implementation of service area service quality evaluation. The service area service quality evaluation can realize real-time monitoring of the interactive quality of a target service area, so that the dynamic adjustment of the area construction configuration information used in the determination of the target service area can be realized through the real-time monitoring result. The dynamic adjustment of the target service area can be realized through the adjusted area construction configuration information. The entire technical solution can ensure that the discovered service area is in a healthy state, so that the service area can better guarantee the dynamic balance between the service area size and the service area business resource condition.

[0121] Figure 2 A structural diagram of a service area determination apparatus provided by the embodiment of the present disclosure is provided. The embodiment can be applied to the case of service area determination. The apparatus can be realized by software and / or hardware, and can be configured in a terminal and / or a server to realize the service area determination method in the embodiment of the present disclosure. The apparatus can specifically include an acquisition module 21, a first determination module 22, and a second determination module 23.

[0122] The acquisition module 21 is configured to acquire an evaluation information set determined in advance with respect to a target business item. The evaluation information set includes business response feedback information of the business item, business object business range information, and business object business resource information.

[0123] The first determination module 22 is configured to determine at least one service object candidate set, at least one first business object candidate set, and at least one second business object candidate set, respectively, according to the business response feedback information, the business object business range information, and the business object business resource information.

[0124] The second determination module 23 is configured to determine a target service area corresponding to the target business item according to the obtained area construction configuration information and in combination with the at least one service object candidate set, the at least one first business object candidate set, and the at least one second business object candidate set.

[0125] The service area determination device provided by the embodiment is different from the prior art in that the service area determination is analyzed from the perspective of the response feedback of the service item, and the service resource of the service object of the service item and the influence of the service range of the service object on the service area determination are additionally introduced. The service area with balanced service quality and service area size is determined by combining the response feedback of the service item relative to the service object, the service range of the service object relative to the service item, and the service resource of the service object relative to the service item. In this way, the service area size can be reasonably expanded, the service experience of the service object can be significantly improved, the service points in the service area can be more targeted, and the service area life cycle can be better prolonged, and the interaction quality of the service area and the response heat of the service object can be better improved.

[0126] Further, the device further comprises an information determination module, which specifically can comprise.

[0127] The response feedback determination unit is configured to count the service response feedback information of the target service item relative to different service objects in a historical time length.

[0128] The resource information determination unit is configured to determine the service range information and the service resource information of each corresponding service object according to the service object attribute information of different service objects associated with the target service item and the service execution information in different service attribute dimensions.

[0129] The evaluation information determination unit is configured to form the evaluation information set based on the service response feedback information of each service object, the service range information and the service resource information of each corresponding service object.

[0130] Further, the resource information determination unit can be specifically configured to:

[0131] The service object attribute information of different service objects associated with the target service item is acquired.

[0132] For each service object, the service range information of the corresponding service object is determined according to the service object attribute information of the service object, and the service range information of the service object includes the location information and the service radius size of the service object.

[0133] The service response information of the service object relative to the target service item in different service attribute dimensions is acquired, and the sub-service resource information in the corresponding service attribute dimension is determined according to the service response information.

[0134] The service object service resource information of the service object relative to the target service item is determined according to the service resource information of each sub-service.

[0135] Further, the first determination module 21 can be specifically configured to:

[0136] The service response feedback information is filtered according to the set at least one feedback threshold, and a service object candidate set corresponding to each feedback threshold is obtained;

[0137] The service object service range information is filtered according to the set at least one service radius filtering condition, and a first service object candidate set corresponding to each service radius filtering condition is obtained;

[0138] The service object service resource information is filtered according to the set at least one resource filtering condition, and a second service object candidate set corresponding to each resource filtering condition is obtained.

[0139] Further, the second determination module 22 can be specifically configured to:

[0140] The target feedback threshold, the target service radius filtering condition, and the target resource filtering condition are obtained from the area construction configuration information;

[0141] The target service object candidate set corresponding to the target feedback threshold is selected from the at least one service object candidate set;

[0142] The first target service object candidate set corresponding to the target service radius filtering condition is selected from the at least one first service object candidate set;

[0143] The second target service object candidate set corresponding to the target resource filtering condition is selected from the at least one second service object candidate set;

[0144] The target service object candidate set, the first target service object candidate set, and the second target service object candidate set are cross-combined to obtain a target object set, wherein the target object set includes at least one service object and at least one service object filtered out;

[0145] The target service area is determined according to the target object set.

[0146] Further, the area construction configuration information is obtained from a service object client and / or a service object client, and the area construction configuration information of the service object client and / or the service object client is determined by editing and configuring in a displayed construction configuration interface;

[0147] Alternatively, the region construction configuration information is determined by a prediction result output by a preset service region construction prediction model, the service region construction prediction model being configured to predict a service object change trend of the target service item and / or to predict a service object service capability development trend of the target service item.

[0148] Further, the apparatus further comprises a service region evaluation module, which can be configured to perform service region service quality evaluation on the target service region according to a set service region evaluation index, and obtain a service quality evaluation result.

[0149] Further, the service region evaluation module can be specifically configured to:

[0150] obtain service response service data of the target service region, and determine an index value of the service region evaluation index according to the service response service data, the service region evaluation index comprising a service object response heat, a service object response heat, an interaction quality score of a service object and a service object, and a service participation score of a service object;

[0151] determine a service region interaction quality of the target service region according to the index value of the service region evaluation index and a preset evaluation threshold, and obtain the service quality evaluation result of the target service region.

[0152] The apparatus can perform the method provided by any of the embodiments of the present disclosure, and has the corresponding function modules and beneficial effects of performing the method.

[0153] It is worth noting that each unit and module included in the apparatus is only divided according to the function logic, but is not limited to the above division, as long as the corresponding function can be realized; in addition, the specific name of each functional unit is only for easy mutual distinction, and does not limit the protection scope of the embodiments of the present disclosure.

[0154] Figure 3 A structural schematic diagram of a computer device provided by the embodiments of the present disclosure is shown in FIG. 1. Hereinafter, the structural schematic diagram of the computer device (for example, a terminal device or a server) 30 suitable for implementing the embodiments of the present disclosure is shown in FIG. 1. The terminal device in the embodiments of the present disclosure can include but is not limited to a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (Personal Digital Assistant), a PAD (Tablet Personal Computer), a PMP (Portable Multimedia Player), a vehicle-mounted terminal (for example, a vehicle-mounted navigation terminal), and the like, and a fixed terminal such as a digital TV, a desktop computer, and the like. Figure 3 The computer device shown in FIG. 1 is only an example, and should not bring any limitation to the function and use range of the embodiments of the present disclosure. Figure 3 The computer device shown in FIG. 1 is only an example, and should not bring any limitation to the function and use range of the embodiments of the present disclosure. Figure 3 The computer device shown in FIG. 1 is only an example, and should not bring any limitation to the function and use range of the embodiments of the present disclosure.

[0155] As shown in Figure 3 The computer device 30 can include a processing apparatus (e.g., a central processing unit, a graphics processing unit, etc.) 31 that can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) 32 or loaded from a storage device 38 into a random access memory (RAM) 33. Various programs and data required for the operation of the computer device 30 are also stored in the RAM 33. The processing apparatus 31, the ROM 32, and the RAM 33 are connected to each other through a bus 35. An input / output (I / O) interface 34 is also connected to the bus 35.

[0156] Generally, the following devices can be connected to the I / O interface 34: input devices 36 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 37 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 38 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 39. The communication devices 39 can allow the computer device 30 to communicate with other devices wirelessly or through wires to exchange data. Although Figure 3 The computer device 30 is shown with various devices, but it should be understood that not all of the shown devices are required to be implemented or present. More or fewer devices can alternatively be implemented or present.

[0157] In particular, the processes described above with reference to the flowcharts can be implemented as a computer software program according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods illustrated by the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network through the communication devices 39, or installed from the storage devices 38, or installed from the ROM 32. When the computer program is executed by the processing apparatus 31, the above-mentioned functions defined in the methods of embodiments of the present disclosure are performed.

[0158] The names of the messages or information exchanged between the plurality of devices in the embodiments of the present disclosure are only for illustrative purposes, and are not intended to limit the scope of the messages or information.

[0159] The computer device provided by the embodiments of the present disclosure and the service area determination method provided by the above-mentioned embodiments belong to the same inventive concept, and the technical details not described in detail in the present embodiments can be referred to the above-mentioned embodiments, and the present embodiments have the same beneficial effects as the above-mentioned embodiments.

[0160] The embodiment of the present disclosure provides a computer storage medium, which stores a computer program, and the program is executed by a processor to implement the service area determination method provided by the above embodiment.

[0161] It should be noted that the computer readable medium of the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0162] In the present disclosure, the computer readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device or apparatus. In the present disclosure, the computer readable signal medium can include a data signal carried in a baseband or as a part of a carrier wave, which carries computer readable program code. Such a propagated data signal can take various forms, including but not limited to an electromagnetic signal, an optical signal or any suitable combination of the above. The computer readable signal medium can also be any computer readable medium other than the computer readable storage medium, which can send, propagate or transmit a program for use by or in conjunction with an instruction execution system, device or apparatus. The program code contained in the computer readable medium can be transmitted by any suitable medium, including but not limited to a wire, a cable, an RF (radio frequency) or the like, or any suitable combination of the above.

[0163] In some embodiments, the client, server can communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol), and can be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include local area networks ("LAN"), wide area networks ("WAN"), the Internet, and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.

[0164] The above computer readable medium can be contained in the above computer device; or can exist separately without being assembled into the computer device.

[0165] The computer readable medium described above can carry one or more programs which, when executed by the computer device, cause the computer device to:

[0166] Computer program code for carrying out operations of the present disclosure can be written in any one or more of a variety of programming languages or combinations of languages including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0167] The flow diagrams and the block diagrams in the drawings are illustrations of architectures, functionalities, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of present disclosure. In this regard, each block in the flow diagrams or block diagrams can represent a module, a procedure, or a part of code, which comprises one or more executable instructions for implementing the specific logical functions specified for the block. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in some cases, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and / or flow diagrams, and combinations thereof, can be implemented by a dedicated hardware-based system that carries out specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0168] The units described in the embodiments of the present disclosure can be implemented by software, or by hardware. In some cases, the name of the unit does not constitute a limitation on the unit itself. For example, the first obtaining unit can also be described as a unit for obtaining at least two internet protocol addresses.

[0169] The functionality described above can be performed, at least in part, by one or more hardware logic components. For example, and without limitation, illustrative types of hardware logic components that can be used include Field-programmable Gate Arrays (FPGAs), Application-specific Integrated Circuits (ASICs), Application-specific Standard Products (ASSPs), System-on-a-chip systems (SOCs), Complex Programmable Logic Devices (CPLDs), etc.

[0170] In the context of the present disclosure, a machine-readable medium can be a tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the machine-readable storage medium will include one or more of: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0171] The above description is only preferred embodiments of the present disclosure and the explanation of the applied technical principles. It should be understood by those skilled in the art that the disclosure range involved in the present disclosure is not limited to the technical solutions formed by the specific combinations of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the technical solutions formed by replacing the above features with the technical features disclosed in the present disclosure (but not limited to) having similar functions.

[0172] In addition, although each operation is depicted in a particular order, this should not be understood as requiring the operations to be performed in the particular order shown or in a sequential order. In certain circumstances, multitasking and parallel processing can be advantageous. Likewise, although specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features described in the context of separate embodiments can also be combined in a single embodiment. Conversely, various features described in the context of a single embodiment can also be separated and implemented in multiple embodiments.

[0173] Although the subject matter has been described in language specific to structural features and / or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. A service area confirmation method, characterized in that, include: Obtain a pre-determined set of evaluation information relative to the target business item, the set of evaluation information including business response feedback information of the business item, business scope information of the business object, and business resource information of the business object; Based on the business response feedback information, business object business scope information, and business object business resource information, at least one service object candidate set, at least one first business object candidate set, and at least one second business object candidate set are determined respectively. Based on the obtained regional construction configuration information, and in combination with the at least one service object candidate set, the at least one first business object candidate set, and the at least one second business object candidate set, the target service region corresponding to the target business item is determined.

2. The method according to claim 1, characterized in that, The steps for determining the evaluation information set relative to the target business item include: The statistical analysis includes the business response feedback information of the target business item relative to different service objects within a historical period. Based on the business object attribute information of different business objects associated with the target business item and the business execution information under different business attribute dimensions, determine the business scope information and business resource information of each corresponding business object. The evaluation information set is formed based on the business response feedback information of each service object, the business scope information of each corresponding business object, and the business resource information of the business object.

3. The method according to claim 2, characterized in that, Based on the business object attribute information of different business objects associated with the target business item and the business execution information under different business attribute dimensions, determine the business scope information and business resource information of each corresponding business object, including: Obtain the business object attribute information of the different business objects associated with the target business item; For each business object, the corresponding business scope information is determined based on the business object attribute information of the business object. The business scope information includes the location information of the business object and the business radius. Obtain the business response information of the business object relative to the target business item under different business attribute dimensions, and determine the sub-business resource information under the corresponding business attribute dimension based on the business response information; The business object business resource information of the business object relative to the target business item is determined based on the resource information of each sub-business.

4. The method according to claim 1, characterized in that, The step of determining at least one service object candidate set, at least one first business object candidate set, and at least one second business object candidate set based on the business response feedback information, business object business scope information, and business object business resource information includes: The business response feedback information is filtered according to at least one set feedback threshold to obtain a service object candidate set corresponding to each feedback threshold; The business scope information of the business object is filtered according to at least one set of business radius filtering conditions to obtain a first set of business object candidates corresponding to each of the business radius filtering conditions. The business object resource information is filtered according to at least one set of resource filtering conditions to obtain a second business object candidate set corresponding to each of the resource filtering conditions.

5. The method according to claim 1, characterized in that, The step of determining the target service region corresponding to the target service item based on the obtained regional configuration information, combined with the at least one service object candidate set, at least one first business object candidate set, and at least one second business object candidate set, includes: Analyze the region construction configuration information to obtain the set target feedback threshold, target business radius filtering conditions, and target resource filtering conditions from the region construction configuration information; Select the target service object candidate set corresponding to the target feedback threshold from the at least one service object candidate set; Select the first target business object candidate set corresponding to the target business radius filtering condition from the at least one first business object candidate set; Select the second target business object candidate set corresponding to the target resource filtering condition from the at least one second business object candidate set; The target service object candidate set, the first target business object candidate set, and the second target business object candidate set are cross-combined to obtain a target object set, wherein the target object set includes at least one selected service object and at least one business object; The target service area is determined based on the set of target objects.

6. The method according to claim 1 or 5, characterized in that, The region construction configuration information is obtained from the service object client and / or business object client, and the region construction configuration information of the service object client and / or business object client is determined by editing the configuration in the displayed construction configuration interface; Alternatively, the region construction configuration information may be determined by the prediction results output by the preset service region construction prediction model, which is used to predict the changing trend of the service objects of the target business item, and / or to predict the development trend of the business capabilities of the business objects of the target business item.

7. The method according to claim 1, characterized in that, Also includes: The service area business quality is evaluated according to the set service area evaluation indicators to obtain the business quality evaluation results.

8. The method according to claim 7, characterized in that, The step of evaluating the service quality of the target service area according to the set service area evaluation indicators to obtain the service quality evaluation results includes: Obtain business response data for the target service area, and determine the indicator values ​​of the service area evaluation indicators based on the business response data. The service area evaluation indicators include business object response popularity, service object response popularity, interaction quality score between service object and business object, and business participation score of service object. Based on the index values ​​of the service area evaluation indicators and the preset evaluation threshold, the service area interaction quality of the target service area is determined and the business quality evaluation result of the target service area is obtained.

9. A service area determination device, characterized in that, include: The acquisition module is used to acquire a pre-determined set of evaluation information relative to the target business item. The set of evaluation information includes business response feedback information of the business item, business scope information of the business object, and business resource information of the business object. The first determining module is used to determine at least one service object candidate set, at least one first business object candidate set, and at least one second business object candidate set based on the business response feedback information, business object business scope information, and business object business resource information, respectively. The second determining module is used to determine the target service region corresponding to the target service item based on the obtained regional construction configuration information, combined with the at least one service object candidate set, at least one first business object candidate set, and at least one second business object candidate set.

10. A computer device, characterized in that, The computer device includes: One or more processors; a storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the service area determination method as described in any one of claims 1-8.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the service area determination method as described in any one of claims 1-8.

12. A computer program product comprising a computer program that, when executed by a processor, implements the service area determination method according to any one of claims 1-8.

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