Customer group matching method and device, electronic equipment, storage medium and program

The user identification and activity customer group number are obtained through the activity information service, and the customer group query service is directly used to query the customer group type of associated activities, solving the problems of high pressure and low matching accuracy in the existing technology, and achieving more efficient and accurate customer group matching.

CN119669563APending Publication Date: 2025-03-21INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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Patent Information

Application Number
CN202411728868.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-28
Publication Date
2025-03-21

AI Technical Summary

Technical Problem

In the prior art, the APP client traversing and querying all customer groups leads to an increase in customer group query service pressure, a decrease in response speed, and increasing the upper limit of customer group query results in returning inactive related customer group information, affecting activity participation.

Method used

The current user identification and active customer group number are obtained through the activity information service, and the customer group query service directly queryes the customer group type of associated activities for the current user, and omits the query process of unrelated active customer groups.

Benefits of technology

It reduces the query pressure of customer group query services, improves the response speed, improves the efficiency and accuracy of customer group matching, and ensures that customers who can participate in the event can participate normally.

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Abstract

The embodiment of the invention discloses a customer group matching method and device, electronic equipment, a storage medium and a program, and can be applied to the technical field of big data. The customer group matching method applied to the customer group query service comprises the following steps: acquiring a current user identifier and a current activity customer group number sent by an activity information service; determining a current target customer group according to the current activity customer group number; and matching the current user identifier with the current target customer group, and determining a target associated customer group corresponding to the current user. According to the technical scheme of the embodiment of the invention, the customer group matching efficiency and accuracy can be improved.
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Description

Technical Field

[0001] Embodiments of the present invention relate to the field of big data technology, and in particular, to a customer group matching method, device, electronic device, storage medium and program. Background Art

[0002] Customer groups are referred to as customer groups, which refer to groups analyzed through multiple means such as regional positioning and customer positioning. Creating customer groups means that business personnel use the target customer selection capability to create customer groups according to the purpose of the operation activities. Specifically, the system automatically generates a customer list with a certain common feature, and stores the created customer group number and customer list in the customer group query service according to the validity period selected by the business.

[0003] In a series of operational activities, the need to query target customer groups is often involved. For example, when a customer opens an APP (Application) to access a specific service, the client calls the customer group query service with the user ID to obtain all the customer group information to which the customer belongs. At the same time, the client calls the activity information server to obtain published and valid activity data. Then, the client combines the customer group query information and the activity data to perform customer group information matching verification, and the verified data is displayed to the customer.

[0004] In the process of implementing the present invention, the inventors found that the prior art has the following defects: the APP client carries the user identifier to call the customer group query service to obtain all the customer group information to which the customer belongs. Because it involves traversal queries, the pressure on the customer group query service will increase and the response speed will be reduced. In order to reduce service pressure and improve response speed, the customer group query service can only increase the upper limit of the number of customer group queries when it cannot effectively control the number of customer groups created by the business. The introduction of the upper limit of the number of customer group queries has in turn led to the customer group information returned to the customer group by the customer group query service being non-activity-associated customer group information, which ultimately leads to customers who can participate in the event being unable to participate in the event normally. In addition, the client needs to use the customer group query service results and the results returned by the activity information server to perform display logic processing, such as customer group information matching and business priority sorting, which will lead to an increase in the mobile APP package and excessive customer traffic consumption. Summary of the invention

[0005] The embodiments of the present invention provide a customer group matching method, device, electronic device, storage medium and program, which can improve the efficiency and accuracy of customer group matching.

[0006] According to one aspect of the present invention, a customer group matching method is provided, which is applied to a customer group query service, comprising:

[0007] Get the current user ID and current activity customer group ID sent by the activity information service;

[0008] Determine the current target customer group according to the current active customer group number;

[0009] The current user identifier and the current target customer group are matched to determine the target associated customer group corresponding to the current user.

[0010] According to another aspect of the present invention, a customer group matching method is provided, which is applied to an activity information service, comprising:

[0011] Get the current user ID of the current user sent by the client;

[0012] Extract the current activity customer group ID from the current activity data;

[0013] The target associated customer group corresponding to the current user is determined according to the current user identifier and the current active customer group number.

[0014] According to another aspect of the present invention, a customer group matching device is provided, characterized in that it is configured for a customer group query service and includes:

[0015] An identification number acquisition module is used to acquire the current user identification and current activity customer group number sent by the activity information service;

[0016] A current target customer group determination module, used to determine the current target customer group according to the current active customer group number;

[0017] The first target associated customer group determination module is used to match the current user identifier with the current target customer group to determine the target associated customer group corresponding to the current user.

[0018] According to another aspect of the present invention, there is provided a customer group matching device, which is configured in an activity information service, and includes:

[0019] The current user ID acquisition module is used to acquire the current user ID of the current user sent by the client;

[0020] A customer group number extraction module is used to extract the current activity customer group number from the current activity data;

[0021] The second target associated customer group determination module is used to determine the target associated customer group corresponding to the current user according to the current user identifier and the current active customer group number.

[0022] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0023] at least one processor; and

[0024] a memory communicatively connected to the at least one processor; wherein,

[0025] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the customer group matching method described in any embodiment of the present invention.

[0026] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the customer group matching method described in any embodiment of the present invention when executed.

[0027] According to another aspect of the present invention, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the customer group matching method described in any embodiment of the present invention is implemented.

[0028] The embodiment of the present invention obtains the current user identifier of the current user sent by the client through the activity information service, and extracts the current active customer group number from the current activity data. Accordingly, the activity information service can send the current user identifier and the current active customer group number to the customer group query service. The customer group query service can determine the current target customer group according to the current active customer group number, match the current user identifier and the current target customer group, and determine the target associated customer group corresponding to the current user. It can be seen that by determining the range of the current active customer group number adapted to the current user through the activity information service, it is possible to avoid the customer group query service from traversing and querying all customer group types for the current user, but directly querying the customer group query service for the current user for the customer group type associated with the activity, thereby omitting the query process of the unassociated active customer group, solving the problems of low efficiency and low accuracy when the existing customer group query service traverses and queries the full amount of customer groups for customer group matching, and can reduce the customer group query pressure of the customer group query service, improve the response speed of the customer group query service, and thus improve the efficiency and accuracy of customer group matching.

[0029] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 is a flow chart of a customer group matching method provided in Embodiment 1 of the present invention;

[0032] Figure 2 is a flow chart of a customer group matching method provided in Embodiment 2 of the present invention;

[0033] Figure 3 is a schematic diagram of a customer group matching device provided in Embodiment 3 of the present invention;

[0034] Figure 4 is a schematic diagram of a customer group matching device provided by Embodiment 4 of the present invention;

[0035] Figure 5 This is a schematic diagram of the structure of an electronic device provided in Embodiment 5 of the present invention. DETAILED DESCRIPTION

[0036] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0037] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0038] Embodiment 1

[0039] Figure 1 This is a flow chart of a customer group matching method provided in the first embodiment of the present invention. This embodiment is applicable to the situation where the customer group query service quickly matches the customer group based on the information sent by the activity information service. The method can be executed by a customer group matching device, which can be implemented by software and / or hardware, and can generally be integrated in an electronic device. The electronic device can be a server device, used in conjunction with the activity information service end. As long as the customer group query service can execute the customer group matching method, the embodiment of the present invention does not limit the specific device type of the electronic device. Accordingly, if Figure 1As shown, the method includes the following operations:

[0040] S110: Obtain the current user ID and the current activity customer group ID sent by the activity information service.

[0041] Among them, the activity information service can be a service type for controlling the published activities. In the embodiment of the present invention, the activities can be various types of activities that can be published in the application and require user participation, such as but not limited to payment activities, points redemption activities, and various information publishing activities, etc. As long as it is an activity that users can participate in, the embodiment of the present invention does not limit the activity types and activity contents controlled by the activity information service.

[0042] The current user identifier may be an identifier that uniquely identifies the identity information of the current user, such as an account number or user ID of the current user, as long as it can uniquely identify the current user. The embodiment of the present invention does not limit the identifier type of the current user identifier. The current user may be a user that the customer group query service currently needs to match with a customer group.

[0043] The current activity customer group number may be the customer group number information related to the currently published and valid current activity provided by the activity information service. It is understandable that the current activity customer group number may include the number information of multiple different customer groups associated with the current activity.

[0044] In an embodiment of the present invention, the activity information service may obtain the current user identifier, and obtain the number information of the customer group associated with the currently published activity according to the currently published activity data as the current activity customer group number, so as to filter out the currently linked activity from a large number of activities through the activity information service. The activity information service may send the obtained current user identifier and the current activity customer group number to the customer group query service. After the customer group query service obtains the current user identifier and the current activity customer group number sent by the activity information service, it may match the customer group of the current user with the query range based on the customer group range defined by the current activity customer group number.

[0045] S120: Determine the current target customer group according to the current active customer group number.

[0046] The current target customer group may be a customer group type associated with a currently published and valid activity of the activity information service.

[0047] Optionally, the number of currently active customer group numbers may be at least one. Each currently active customer group number corresponds to an identification of a customer group type. Therefore, after obtaining the currently active customer group number, the customer group query service may query the mapping relationship between the currently active customer group number and the customer group, thereby obtaining the customer group identified by each currently active customer group number as the current target customer group. Since the number of currently active customer group numbers is at least one, the number of currently target customer groups may also be at least one. It is understandable that the current target customer group is the customer group associated with the currently published and valid activity of the activity information service.

[0048] S130: Match the current user identifier with the current target customer group to determine the target associated customer group corresponding to the current user.

[0049] The target associated customer group may be a customer group type that matches the current user.

[0050] A customer group is composed of different users, and therefore may include the identifiers of different users. Accordingly, after determining the current target customer group, the customer group query service can use the current target customer group as valid customer group data, use the current user identifier to match each current target customer group, and determine which customer groups in the current target customer group the current user identifier is in, thereby using the current target customer group including the current user identifier as the target associated customer group corresponding to the current user.

[0051] It can be seen that by using the customer groups associated with the currently published and valid activities of the activity information service as the benchmark for the customer group matching range, the customer group query service can significantly narrow the customer group query matching range, and the customer group query service does not need to match the current user identifier with the entire customer group, thereby reducing the pressure of customer group matching and improving the response speed and efficiency of customer group matching. At the same time, since the customer group query range of the customer group query service is associated with the currently published and valid activities of the activity information service, there will be no problem of low customer group matching accuracy due to the upper limit of the number of customer group queries, thereby improving the accuracy of customer group matching of the customer group query service.

[0052] In an optional embodiment of the present invention, after matching the current user identifier and the current target customer group to determine the target associated customer group corresponding to the current user, it may also include: feeding back the customer group association information of the target associated customer group to the activity information service; wherein the activity information service is used to recommend activities to the current user based on the customer group association information of the target associated customer group.

[0053] Among them, the customer group association information can be information associated with the target associated customer group, for example, it can include but is not limited to the customer group number of the target associated customer group, the affiliation relationship between the current user identifier and the target associated customer group, the validity period of the current user in the target associated customer group, and the current activity type matched by the target associated customer group, etc. As long as it can be used as a reference for activity recommendation, the embodiment of the present invention does not limit the specific information type and information content of the customer group association information.

[0054] Accordingly, after the customer group query service determines the target associated customer group that the current user matches, it can further obtain the customer group associated information of the target associated customer group, such as the customer group number of the target associated customer group, the affiliation relationship between the current user and the target associated customer group (i.e., whether the current user belongs to the target associated customer group), the validity period of the current user in the target associated customer group, and the current activity type matched by the target associated customer group, etc., as customer group associated information and feed it back to the activity information service. The activity information service can recommend activities to the current user based on the customer group associated information fed back by the customer group query service.

[0055] The above technical solution, by having the activity information service recommend activities based on the information fed back by the customer group query service, can avoid the process of using the customer group query service results and the results returned by the activity information server for logical processing on the client side, thereby reducing the traffic consumption on the client side and improving the overall response speed and efficiency of customer group matching.

[0056] The embodiment of the present invention obtains the current user identifier of the current user sent by the client through the activity information service, and extracts the current active customer group number from the current activity data. Accordingly, the activity information service can send the current user identifier and the current active customer group number to the customer group query service. The customer group query service can determine the current target customer group according to the current active customer group number, match the current user identifier and the current target customer group, and determine the target associated customer group corresponding to the current user. It can be seen that by determining the range of the current active customer group number adapted to the current user through the activity information service, it is possible to avoid the customer group query service from traversing and querying all customer group types for the current user, but directly querying the customer group query service for the current user for the customer group type associated with the activity, thereby omitting the query process of the unassociated active customer group, solving the problems of low efficiency and low accuracy when the existing customer group query service traverses and queries the full amount of customer groups for customer group matching, and can reduce the customer group query pressure of the customer group query service, improve the response speed of the customer group query service, and thus improve the efficiency and accuracy of customer group matching.

[0057] Embodiment 2

[0058] Figure 2This is a flow chart of a customer group matching method provided in the second embodiment of the present invention. This embodiment is applicable to the case where the activity information service quickly matches customers according to information such as user identification and customer group number. The method can be executed by a customer group matching device, which can be implemented by software and / or hardware, and can generally be integrated in an electronic device. The electronic device can be a server device, used in conjunction with a client that sends a user identification. As long as the activity information service can execute the customer group matching method, the embodiment of the present invention does not limit the specific device type of the electronic device. Accordingly, if Figure 2 As shown, the method includes the following operations:

[0059] S210: Obtain the current user identifier of the current user sent by the client.

[0060] In the embodiment of the present invention, the client no longer reports the current user identifier of the current user to the customer group query service, but sends the current user identifier of the current user to the activity information service side.

[0061] It should be noted that the client can provide users with corresponding operation entrances for users to choose to agree or reject the automated decision-making results; if the user chooses to reject, the expert decision-making process will be entered.

[0062] S220: Extract the current activity customer group ID from the current activity data.

[0063] The current activity data may be data related to the current activity currently published and valid by the activity information service, and may include but is not limited to configuration data and attribute data of the current activity, etc. The embodiment of the present invention does not limit the specific data content included in the current activity data. Optionally, the current activity data of a current activity may include one or more current activity customer group numbers.

[0064] The activity data of each activity published by the activity information service may include the customer group number applicable to each activity. For example, assuming that the activity data of activity A includes customer group number 1 and customer group number 2, it means that all users included in customer group number 1 and customer group number 2 can participate in activity A. Therefore, in order to effectively perform customer group matching, the activity information service can extract all customer group numbers from the current activity data of the current activity as the customer group number of the current activity.

[0065] It is understandable that the customer group corresponding to the current activity customer group number is not applicable to all types of current activities. For example, the customer group corresponding to the current activity customer group number 1 may be applicable to current activities A and B, and the customer group corresponding to the current activity customer group number 2 may be applicable to current activities B and C, etc. Similarly, a current activity may extract one or more corresponding current activity customer group numbers.

[0066] S230: Determine the target associated customer group corresponding to the current user according to the current user identifier and the current active customer group number.

[0067] Accordingly, after obtaining the current user ID and the current activity customer group number, the activity information service can determine the target associated customer group corresponding to the current user according to the current user ID and the current activity customer group number to implement the customer group matching process for the current user.

[0068] In an optional embodiment of the present invention, determining the target associated customer group corresponding to the current user based on the current user identifier and the currently active customer group number may include: sending the current user identifier and the currently active customer group number to a customer group query service; wherein the customer group query service is used to determine the current target customer group based on the currently active customer group number, match the current user identifier and the current target customer group, and determine the target associated customer group corresponding to the current user.

[0069] Optionally, the activity information service can send the acquired current user ID and current active customer group number to the customer group query service, so that the customer group query service can determine the current target customer group according to the current active customer group number, and match the current user ID with the current target customer group to determine the target associated customer group corresponding to the current user. The customer group query service can reduce the customer group query pressure of the customer group query service, improve the response speed of the customer group query service, and thus improve the efficiency and accuracy of customer group matching by matching the customer group according to the previous user ID and the current active customer group number.

[0070] In an optional embodiment of the present invention, determining the target associated customer group corresponding to the current user based on the current user identifier and the currently active customer group number may include: obtaining locally cached user-customer group relationship data; querying the user-customer group relationship data based on the current user identifier and the currently active customer group number to determine the target associated customer group corresponding to the current user.

[0071] Among them, the user-customer group relationship data may be data on the affiliation relationship between users and corresponding customer groups.

[0072] Optionally, the activity information service can also cache the historical query data of customer group matching locally as user-customer group relationship data. Accordingly, after the activity information service obtains the current user ID and the current active customer group number, if it is determined that the historical query data of the current user ID and the current active customer group number is cached locally, it does not need to be sent to the customer group query service, and the user-customer group relationship data cached locally can be directly queried to determine the target associated customer group corresponding to the current user from the customer group corresponding to the current active customer group number.

[0073] In a specific example, assume that the activity information service determined one day ago that the target associated customer group of user A is the customer group corresponding to customer group number 1 based on the user ID A, customer group number 1, and customer group number 2 of user A, through the customer group query service or local cache, then the activity information service can locally cache the attribution relationship between user ID A and customer group number 1 as user customer group relationship data, indicating that user A can be matched to the customer group corresponding to customer group number 1. If the user ID currently obtained by the activity information service is user ID A, and the currently obtained active customer group numbers are customer group number 1 and customer group number 2, then the target associated customer group of the current user corresponding to user ID A can be directly determined to be the customer group corresponding to customer group number 1 based on the locally cached user ID A and customer group relationship data of customer group number 1.

[0074] It is understandable that the activity data may be updated over time, for example, the types of customer groups adapted to different activities may be increased, decreased or replaced, etc. Therefore, the activity information service can also mark the storage time of the user-customer relationship data. If the marking time of the user-customer relationship data referenced by the activity information service for customer group matching is too long, for example, the data is stored one month ago, it indicates that there may be a deviation between the user-customer relationship data cached locally and the user-customer relationship data stored on the customer group query service side. Therefore, in order to ensure the accuracy of customer group matching, after obtaining the user-customer relationship data cached locally, the difference between the marking time of the user-customer relationship data and the current system time can be determined. When the difference between the marking time of the user-customer relationship data and the current system time exceeds the set threshold, the activity information service sends the current user identifier and the current active customer group number to the customer group query service, so that the customer group query service determines the current target customer group according to the current active customer group number, matches the current user identifier and the current target customer group, and determines the target associated customer group corresponding to the current user.

[0075] The above technical solution determines the target associated customer group corresponding to the current user by querying the locally cached user-customer relationship data, which can avoid interacting with the customer group query service for customer group matching. It can not only further reduce the customer group query pressure of the customer group query service, but also further improve the response speed of customer group matching, thereby improving the efficiency and accuracy of customer group matching.

[0076] In an optional embodiment of the present invention, after determining the target associated customer group corresponding to the current user based on the current user identifier and the current active customer group number, it may also include: determining the current target activity data that matches the target associated customer group; filtering target display activity data from the current target activity data, and sending the target display activity data to the client, so as to display the target display activity data to the current user through the client.

[0077] The current target activity data may be activity data related to the current target activity that matches the target associated customer group. The target display activity data may be activity data that can be displayed to the current user on the client of the current user.

[0078] After the activity information service determines the target associated customer group corresponding to the current user, it can filter the current target activity data matched by the filter from the current activity according to the target associated customer group. Exemplarily, the activity information service can first filter out all activities matching the target associated customer group according to the current activity data as alternative target activities. Furthermore, the activity information service can also filter out activities that the current user can participate in from the alternative target activities as the current target activities in combination with relevant data of the alternative target activities, such as user participation times limit, regional restrictions, and other configuration and attribute data. Furthermore, the activity information service can also filter target display activity data from the current target activity data, for example, filter target display activity data from the current target activity data in combination with the business priority of the activity and other recommendation strategies, and finally send the target display activity data to the client to display the target display activity data to the current user through the client.

[0079] It can be seen that by combining the current target activity that matches the customer group of the current user with the activity screening strategy to further screen out activity data suitable for client display, the rationality of the recommended display of activity data can be improved.

[0080] Exemplarily, the activity information service can determine the alternative activities that match the target associated customer group based on the customer group association information fed back by the customer group query service. Since the current user identifier belongs to the user identifier included in the target associated customer group, the alternative activities that match the target associated customer group can generally be recommended to the current user. Triggering the alternative activities sets conditions that limit participation, such as an upper limit on the number of participations. Therefore, the target activities that the current user has the right to participate in can be filtered out based on other configuration conditions of the alternative activities. In order to further improve the accuracy of activity recommendations, the business priority of each target activity can be determined, and each target activity can be sorted according to its business priority, and one or more target activities with the highest business priority can be selected according to the sorting results for recommendation to the current user.

[0081] The embodiment of the present invention obtains the current user identifier of the current user sent by the client through the activity information service, and extracts the current active customer group number from the current activity data. Correspondingly, the activity information service can determine the target associated customer group corresponding to the current user based on the current user identifier and the current active customer group number. It can be seen that by determining the range of the current active customer group number adapted to the current user through the activity information service, it is possible to avoid traversing and querying all customer group types for the current user, thereby omitting the query process for unassociated active customer groups, solving the problems of low efficiency and low accuracy when traversing and querying all customer groups through the customer group query service for customer group matching, and can reduce the customer group query pressure of the customer group query service, improve the response speed of the customer group query service, and thus improve the efficiency and accuracy of customer group matching.

[0082] Specific application scenarios:

[0083] 1. When a customer opens an APP on his mobile phone to access a business portal, the client directly accesses the activity information service with the customer ID. The activity information service can respond to the client's access request and obtain the current activity data that can be displayed to the customer in real time.

[0084] 2. The activity information service extracts the current activity customer group number from the currently published and valid activities, and sends the customer ID and the current activity customer group number to the customer group query service.

[0085] 3. The customer group query service matches the customer ID with the customer group according to the current active customer group number to obtain the target customer group corresponding to the customer.

[0086] 4. If the activity information service already has historical query cache results for the relationship between the customer and the target customer group, the local cache results can be used instead of requesting the customer group query service to query, thereby further reducing the query pressure of the customer group query service.

[0087] 5. The customer group query service performs customer group query matching on the customer according to the customer identification and customer group number information sent by the activity information service, and feeds back the customer group matching result to the activity information service. Optionally, the customer group matching result may include but is not limited to whether the customer is in the customer group and the validity period of the customer in the customer group.

[0088] 4. The activity information service obtains the customer group matching results fed back by the customer group query service, determines the customer group activities matched by the customer group corresponding to the client, and selects the activities that can be displayed as agreed with the client according to the business priority and / or activity configuration information (such as the number of user participations, etc.), sorts and processes the selected activities, and returns them to the mobile APP client.

[0089] 5. The mobile APP client obtains the customer data and renders and displays it.

[0090] Optionally, the customer group query service and the activity information service may be configured in the same platform, or may be configured in different platforms respectively, and the embodiment of the present invention does not limit this.

[0091] The above customer group matching method can eliminate the query process of unlinked active customer groups, thereby reducing the pressure of customer group query services, improving the response speed of the overall system, and further improving the efficiency and accuracy of customer group matching.

[0092] In the technical solution of the present disclosure, the collected information involved (such as user identifications such as user accounts and user IDs, etc.) is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with the relevant laws, regulations and standards of the relevant countries and regions, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0093] It should be noted that any arrangement and combination of the technical features in the above embodiments also falls within the protection scope of the present invention.

[0094] Embodiment 3

[0095] Figure 3 is a schematic diagram of a customer group matching device provided in Embodiment 3 of the present invention, the device is configured in a customer group query service, such as Figure 3 As shown, the device includes: an identification number acquisition module 310, a current target customer group determination module 320 and a first target associated customer group determination module 330, wherein:

[0096] The identification number acquisition module 310 is used to acquire the current user identification and the current activity customer group number sent by the activity information service;

[0097] A current target customer group determination module 320 is used to determine the current target customer group according to the current active customer group number;

[0098] The first target associated customer group determination module 330 is used to match the current user identifier with the current target customer group to determine the target associated customer group corresponding to the current user.

[0099] Optionally, the above device further comprises a customer group associated information feedback module, which is used to: feed back the customer group associated information of the target associated customer group to the activity information service;

[0100] The activity information service is used to recommend activities to the current user based on the customer group association information of the target associated customer group.

[0101] The embodiment of the present invention obtains the current user identifier of the current user sent by the client through the activity information service, and extracts the current active customer group number from the current activity data. Accordingly, the activity information service can send the current user identifier and the current active customer group number to the customer group query service. The customer group query service can determine the current target customer group according to the current active customer group number, match the current user identifier and the current target customer group, and determine the target associated customer group corresponding to the current user. It can be seen that by determining the range of the current active customer group number adapted to the current user through the activity information service, it is possible to avoid the customer group query service from traversing and querying all customer group types for the current user, but directly querying the customer group query service for the current user for the customer group type associated with the activity, thereby omitting the query process of the unassociated active customer group, solving the problems of low efficiency and low accuracy when the existing customer group query service traverses and queries the full amount of customer groups for customer group matching, and can reduce the customer group query pressure of the customer group query service, improve the response speed of the customer group query service, and thus improve the efficiency and accuracy of customer group matching.

[0102] The above customer group matching device can execute the customer group matching method implemented by the customer group query service provided in the first embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the implementation method. For technical details not fully described in this embodiment, please refer to the customer group matching method implemented by the customer group query service provided in the first embodiment of the present invention.

[0103] Since the customer group matching device introduced above is a device that can execute the customer group matching method performed by the customer group query service provided in the first embodiment of the present invention, based on the customer group matching method performed by the customer group query service introduced in the first embodiment of the present invention, the technical personnel in this field can understand the specific implementation of the customer group matching device of this embodiment and its various variations, so how the customer group matching device implements the customer group matching method performed by the customer group query service in the embodiment of the present invention is not described in detail here. As long as the technical personnel in this field implement the device used by the customer group matching method performed by the customer group query service in the embodiment of the present invention, it belongs to the scope of protection of this application.

[0104] Embodiment 4

[0105] Figure 4 is a schematic diagram of a customer group matching device provided by the fourth embodiment of the present invention, the device is configured in an activity information service, such as Figure 4 As shown, the device includes: a current user identification acquisition module 410, a customer group number extraction module 420 and a second target associated customer group determination module 430, wherein:

[0106] The current user identification acquisition module 410 is used to acquire the current user identification of the current user sent by the client;

[0107] The customer group number extraction module 420 is used to extract the current activity customer group number from the current activity data;

[0108] The second target associated customer group determination module 430 is configured to determine the target associated customer group corresponding to the current user according to the current user identifier and the current active customer group number.

[0109] The embodiment of the present invention obtains the current user identifier of the current user sent by the client through the activity information service, and extracts the current active customer group number from the current activity data. Correspondingly, the activity information service can determine the target associated customer group corresponding to the current user based on the current user identifier and the current active customer group number. It can be seen that by determining the range of the current active customer group number adapted to the current user through the activity information service, it is possible to avoid traversing and querying all customer group types for the current user, thereby omitting the query process for unassociated active customer groups, solving the problems of low efficiency and low accuracy when traversing and querying all customer groups through the customer group query service for customer group matching, and can reduce the customer group query pressure of the customer group query service, improve the response speed of the customer group query service, and thus improve the efficiency and accuracy of customer group matching.

[0110] Optionally, the second target-associated customer group determination module 430 is also used to: send the current user identifier and the current active customer group number to a customer group query service; wherein the customer group query service is used to determine the current target customer group based on the current active customer group number, match the current user identifier and the current target customer group, and determine the target-associated customer group corresponding to the current user.

[0111] Optionally, the second target associated customer group determination module 430 is further used to: obtain locally cached user customer group relationship data; query the user customer group relationship data according to the current user identifier and the current active customer group number to determine the target associated customer group corresponding to the current user.

[0112] Optionally, the above-mentioned device also includes a target display activity data screening module, which is used to: determine the current target activity data matching the target-associated customer group; screen the target display activity data from the current target activity data, and send the target display activity data to the client, so as to display the target display activity data to the current user through the client.

[0113] The above-mentioned customer group matching device can execute the customer group matching method implemented by the activity information service provided in the second embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the implementation method. For technical details not fully described in this embodiment, please refer to the customer group matching method implemented by the activity information service provided in the second embodiment of the present invention.

[0114] Since the customer group matching device introduced above is a device that can execute the customer group matching method performed by the activity information service provided in Example 2 of the embodiment of the present invention, based on the customer group matching method performed by the activity information service introduced in Example 2 of the present invention, the technical personnel in this field can understand the specific implementation of the customer group matching device of this embodiment and its various variations, so how the customer group matching device implements the customer group matching method performed by the activity information service in the embodiment of the present invention is not described in detail here. As long as the technical personnel in this field implement the device used by the customer group matching method performed by the activity information service in the embodiment of the present invention, it belongs to the scope of protection of this application.

[0115] Embodiment 5

[0116] Figure 5 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0117] like Figure 5 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0118] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0119] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the customer group matching method.

[0120] Optionally, customer group matching methods are applied to customer group query services, including:

[0121] Get the current user ID and current activity customer group ID sent by the activity information service;

[0122] Determine the current target customer group according to the current active customer group number;

[0123] The current user identifier and the current target customer group are matched to determine the target associated customer group corresponding to the current user.

[0124] Optionally, audience matching methods are applied to activity information services, including:

[0125] Get the current user ID of the current user sent by the client;

[0126] Extract the current activity customer group ID from the current activity data;

[0127] The target associated customer group corresponding to the current user is determined according to the current user identifier and the current active customer group number.

[0128] In some embodiments, the customer group matching method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the customer group matching method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the customer group matching method in any other appropriate manner (e.g., by means of firmware).

[0129] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0130] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0131] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 foregoing.

[0132] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0133] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0134] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0135] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0136] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A customer group matching method, characterized in that: Applied to customer query services, including: Get the current user ID and current activity customer group ID sent by the activity information service; Determine the current target customer group according to the current active customer group number; The current user identifier and the current target customer group are matched to determine the target associated customer group corresponding to the current user.

2. The method according to claim 1, characterized in that After matching the current user identifier with the current target customer group to determine the target associated customer group corresponding to the current user, the method further includes: Feeding back the customer group related information of the target related customer group to the activity information service; The activity information service is used to recommend activities to the current user based on the customer group association information of the target associated customer group.

3. A customer group matching method, characterized in that: Applied to event information services, including: Get the current user ID of the current user sent by the client; Extract the current activity customer group ID from the current activity data; The target associated customer group corresponding to the current user is determined according to the current user identifier and the current active customer group number.

4. The method according to claim 3, characterized in that The determining the target associated customer group corresponding to the current user according to the current user identifier and the current active customer group number includes: Sending the current user ID and the current active customer group number to a customer group query service; The customer group query service is used to determine the current target customer group according to the current active customer group number, match the current user identifier with the current target customer group, and determine the target associated customer group corresponding to the current user.

5. The method according to claim 3, characterized in that: The determining the target associated customer group corresponding to the current user according to the current user identifier and the current active customer group number includes: Get the user-customer relationship data cached locally; The user-customer group relationship data is queried according to the current user identifier and the current active customer group number to determine the target associated customer group corresponding to the current user.

6. The method according to any one of claims 3 to 5, characterized in that: After determining the target associated customer group corresponding to the current user according to the current user identifier and the current active customer group number, the method further includes: Determine current target activity data matched with the target associated customer group; Target presentation activity data is filtered from the current target activity data, and the target presentation activity data is sent to the client, so as to present the target presentation activity data to the current user through the client.

7. A customer group matching device, characterized in that: Configured for customer group query services, including: An identification number acquisition module is used to acquire the current user identification and current activity customer group number sent by the activity information service; A current target customer group determination module, used to determine the current target customer group according to the current active customer group number; The first target associated customer group determination module is used to match the current user identifier with the current target customer group to determine the target associated customer group corresponding to the current user.

8. A customer group matching device, characterized in that: Configured in the activity information service, including: A current user ID acquisition module is used to acquire the current user ID of the current user sent by the client; A customer group number extraction module is used to extract the current activity customer group number from the current activity data; The second target associated customer group determination module is used to determine the target associated customer group corresponding to the current user according to the current user identifier and the current active customer group number.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the customer group matching method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the customer group matching method described in any one of claims 1 to 6 when executed.

11. A computer program product comprising a computer program / instructions, wherein: When the computer program / instructions are executed by a processor, the customer group matching method described in any one of claims 1 to 6 is implemented.