CN112785369A - Method and device for determining user belonging crowd, electronic equipment and storage medium - Google Patents

Method and device for determining user belonging crowd, electronic equipment and storage medium Download PDF

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CN112785369A
CN112785369A CN202011621995.5A CN202011621995A CN112785369A CN 112785369 A CN112785369 A CN 112785369A CN 202011621995 A CN202011621995 A CN 202011621995A CN 112785369 A CN112785369 A CN 112785369A
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target
crowd
candidate
attribute information
group
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杨飞
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Chinabank Payments Beijing Technology Co Ltd
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Chinabank Payments Beijing Technology Co Ltd
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    • G06Q30/00—Commerce
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    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation

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Abstract

The application provides a method and a device for determining a user belonging to a crowd, an electronic device and a storage medium, wherein the method for determining the user belonging to the crowd comprises the following steps: acquiring a plurality of attribute information of a target user; matching the attribute information with an attribute information set of each crowd according to each attribute information to obtain candidate crowds comprising the attribute information; and intersecting the candidate crowds corresponding to each attribute information to obtain a target crowd to which the target user belongs. The method, the device, the electronic equipment and the storage medium for determining the crowd to which the user belongs intersect the candidate crowd based on the attribute information of the target user crowd, so that the target candidate crowd is determined, the process is simple, the matching times are few, the matching efficiency can be effectively improved, and the target candidate crowd can be determined more accurately.

Description

Method and device for determining user belonging crowd, electronic equipment and storage medium
Technical Field
The application relates to the field of internet big data, in particular to the field of user portrait labels.
Background
At present, a big data era comes, and enterprises can predict the development trend of commodities and improve the product quality and the user satisfaction degree by analyzing the behaviors and consumption habits of users through big data. When resource releasing is carried out, firstly, the crowd needing to be released is determined, accurate pushing can be carried out on users based on the similarity of the crowd, and a crowd matching strategy or demand which is accurate is needed.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, in a first aspect, the present application provides a method for determining a group to which a user belongs, including obtaining a plurality of attribute information of a target user; matching the attribute information with an attribute information set of each crowd according to each attribute information to obtain candidate crowds comprising the attribute information; and intersecting the candidate crowds corresponding to each attribute information to obtain a target crowd to which the target user belongs.
According to the method for determining the user crowd, the plurality of attribute information of the target user are obtained, the attribute information of each crowd is matched with the attribute information of each attribute information, candidate crowds based on the attribute information are obtained, intersection processing is carried out on the candidate crowds corresponding to the attribute information, and the target crowd to which the target user belongs is obtained. According to the method for determining the user crowd, the candidate crowd based on the attribute information of the user crowd is intersected, the target candidate crowd is determined, the matching times are few, and the matching efficiency is improved.
In the method for determining the crowd to which the user belongs in the embodiment of the present application, the intersecting is performed on the candidate crowd corresponding to each attribute information to obtain the target crowd to which the target user belongs, and the method further includes: intersecting the candidate groups corresponding to the attribute information of the target user to obtain at least one target candidate group of the target object; acquiring information related to resource pushing of the target candidate group; and determining a target crowd to which the target user belongs from the at least one target candidate crowd based on the information related to resource pushing.
In the method for determining a group to which a user belongs in the embodiment of the present application, the determining a target group to which the target user belongs from the at least one target candidate group based on the information related to resource pushing includes; acquiring the resource pushing times of the at least one target candidate crowd; and selecting the target candidate crowd with the resource pushing times not reaching the pushing time threshold value as the target crowd to which the target user belongs.
The method for determining the crowd to which the user belongs in the embodiment of the application further includes: and in response to that the resource pushing times of the at least one target candidate crowd all reach the pushing time threshold, acquiring the pushing priority of the at least one target candidate crowd, and selecting the target candidate crowd with the highest priority as the target crowd.
The method for determining the crowd to which the user belongs in the embodiment of the application further includes: responding to that the resource pushing times of the at least one target candidate crowd all reach the pushing time threshold value, and acquiring feedback data of the resources pushed to the at least one target candidate crowd; and evaluating the resources of the at least one target candidate group based on the feedback data, and selecting the target candidate group with the best evaluation result as the target group.
In the method for determining a crowd to which a user belongs according to an embodiment of the present application, the determining a target crowd to which the target user belongs from the at least one target candidate crowd based on the information related to resource pushing includes: and acquiring the resource pushing priority of the at least one target candidate crowd, and selecting the target candidate crowd with the highest pushing priority as the target crowd.
In the method for determining a crowd to which a user belongs according to an embodiment of the present application, the determining a target crowd to which the target user belongs from the at least one target candidate crowd based on the information related to resource pushing includes: obtaining feedback data for resources already pushed to the at least one target candidate population; and evaluating the resources of the at least one target candidate group based on the feedback data, and selecting the target candidate group with the best evaluation result as the target group.
In the method for determining a group to which a user belongs in the embodiment of the present application, after the target group to which the target user belongs is obtained, the method further includes: acquiring resources to be pushed matched with the target crowd; and sending the resource to be pushed to the terminal equipment where the target user is located.
A second aspect of the present application provides a device for determining a group to which a user belongs, including a first obtaining module, configured to obtain a plurality of attribute information of a target user; a second obtaining module, configured to match, for each piece of attribute information, the attribute information with an attribute information set of each crowd to obtain a candidate crowd including the attribute information; and the third acquisition module is used for intersecting the candidate crowds corresponding to each attribute information to acquire the target crowds to which the target users belong.
In the apparatus for determining a group to which a user belongs in the embodiment of the present application, the third obtaining module includes: the intersection unit is used for intersecting the candidate crowds corresponding to the attribute information of the target user to obtain at least one target candidate crowd of the target object; the information acquisition unit is used for acquiring information related to resource pushing of the target candidate crowd; a determining unit, configured to determine, from the at least one target candidate group, a target group to which the target user belongs, based on the information related to resource pushing.
In the apparatus for determining a group of people to which a user belongs in the embodiment of the present application, the determining unit is further configured to: acquiring the resource pushing times of the at least one target candidate crowd; and selecting the target candidate crowd with the resource pushing times not reaching the pushing time threshold value as the target crowd to which the target user belongs.
In the apparatus for determining a group of people to which a user belongs in the embodiment of the present application, the determining unit is further configured to: and acquiring the resource pushing priority of the at least one target candidate crowd, and selecting the target candidate crowd with the highest pushing priority as the target crowd.
In the apparatus for determining a group of people to which a user belongs in the embodiment of the present application, the determining unit is further configured to: obtaining feedback data for resources already pushed to the at least one target candidate population; and evaluating the resources of the at least one target candidate group based on the feedback data, and selecting the target candidate group with the best evaluation result as the target group.
In the apparatus for determining a group of people to which a user belongs in the embodiment of the present application, the determining unit is further configured to: and in response to that the resource pushing times of the at least one target candidate crowd all reach the pushing time threshold, acquiring the pushing priority of the at least one target candidate crowd, and selecting the target candidate crowd with the highest priority as the target crowd.
In the apparatus for determining a group of people to which a user belongs in the embodiment of the present application, the determining unit is further configured to: responding to that the resource pushing times of the at least one target candidate crowd all reach the pushing time threshold value, and acquiring feedback data of the resources pushed to the at least one target candidate crowd; and evaluating the resources of the at least one target candidate group based on the feedback data, and selecting the target candidate group with the best evaluation result as the target group.
The apparatus for determining a crowd to which a user belongs in the embodiment of the present application further includes: and the resource pushing module is used for acquiring the resource to be pushed matched with the target crowd after acquiring the target crowd to which the target user belongs, and sending the resource to be pushed to the terminal equipment where the target user is located.
A third aspect of the present application provides an electronic device comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of determining a group of people to which a user belongs as set forth in the first aspect above.
A fourth aspect of the present application proposes a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method for determining a group of people to which a user belongs as set forth in the first aspect.
A fifth aspect of the present application proposes a computer program product comprising a computer program which, when executed by a processor, implements the method for determining a group to which a user belongs as proposed in the first aspect above.
It should be understood that the description herein is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present application will become apparent from the following description.
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The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart illustrating a method for determining a group to which a user belongs according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a set of attribute information for a population according to one embodiment of the present application;
FIG. 3 is a diagram illustrating a process for matching attribute information of a target user with a set of attribute information of a demographic group according to one embodiment of the present application;
FIG. 4 is a flowchart illustrating a method for determining a group of users according to another embodiment of the present application;
FIG. 5 is a schematic diagram of an apparatus for determining the population to which a user belongs according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a device for determining a group to which a user belongs according to another embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
A method, an apparatus, an electronic device, and a storage medium for determining a group to which a user belongs according to embodiments of the present application are described below with reference to the accompanying drawings.
Fig. 1 is a flowchart illustrating a method for determining a group to which a user belongs according to an embodiment of the present application.
As shown in fig. 1, a method for determining a group to which a user belongs according to an embodiment of the present application includes:
s101, acquiring a plurality of attribute information of a target user.
The attribute information of the target user may include static attribute information of the target user, such as gender, age, education degree, occupation, and the like, or dynamic attribute information of purchasing habit, user preference, browsing duration of a certain type of goods, approval, comments, and the like. Optionally, some static attribute information of the target user may be obtained based on the registration information of the target user. Optionally, behavior data of the target user on the network may be collected over a period of time, and dynamic attribute information of the target user may be counted based on the behavior data.
And S102, aiming at each attribute information, matching the attribute information with the attribute information set of each crowd to obtain candidate crowds comprising the attribute information.
There may be similarities between multiple users, and the multiple users may be divided into different groups of people based on the similarities. Each group of people corresponds to an own attribute information set, and the attribute information sets of the groups of people may partially overlap. As shown in fig. 2, the crowd a includes an attribute 1, an attribute 2, and an attribute 3, and the crowd B includes an attribute 2 and an attribute 4, where the attribute 2 is a common attribute of the crowd a and the crowd B.
In the embodiment of the application, each acquired attribute information required by the target user is matched with the attribute information set of each crowd, and if the attribute information set of one crowd includes one attribute information required by the target user, the crowd including the one attribute information required by the target user is called a candidate crowd. The attribute information set of the candidate group may include one attribute information or a plurality of attribute information sets, but the attribute information set of the candidate group needs to include one attribute information of the target user. The attribute information set of a crowd can be understood as a collection of attribute information of the crowd. For example, the crowd a includes an attribute 1, an attribute 2, and an attribute 3, and the crowd B includes an attribute 2, an attribute 3, and an attribute 4, then the attribute 1, the attribute 2, and the attribute 3 are attribute information sets of the crowd a, and the attribute 2, the attribute 3, and the attribute 4 are attribute information sets of the crowd B. Further, setting target user population attribute information to comprise an attribute 1 and an attribute 2, and respectively matching the attribute 1 and the attribute 2 with a population A and a population B, wherein the population A comprises the attribute 1 and the attribute 2 in the target user population attribute information, the population B comprises the attribute 2 in the target user population attribute information, and the population A and the population B are candidate populations comprising the attribute 1 and the attribute 2.
The number of candidate groups may be one or more.
And S103, intersecting the candidate groups corresponding to each attribute information to obtain the target group to which the target user belongs.
In the embodiment of the application, there may be a plurality of candidate groups corresponding to each attribute information. The attribute information sets of the candidate crowds corresponding to the attribute information are different, and the candidate crowds are repeated. And selecting the overlapped part among the candidate crowds through intersection operation, so that the target crowd to which the target user belongs can be obtained.
As shown in fig. 3, the target user population attribute information is set to include an attribute 1 and an attribute 2, and the attribute 1 and the attribute 2 are respectively matched with a population a and a population B, where the population a includes the attribute 1 and the attribute 2 in the target user population attribute information, and the population B includes the attribute 2 in the target user population attribute information, and then the population a and the population B are candidate populations including the attribute 1 and the attribute 2. And if the attribute 1 belongs to the crowd A and the attribute 2 belongs to the crowd A and the crowd B, performing intersection processing on the candidate crowd, and selecting an overlapped part, wherein the obtained crowd A is the target crowd to which the target user belongs.
It should be particularly noted that, in the method for determining the crowd to which the user belongs, the attribute information is taken as a unit, and only one round of matching is needed for each user information and the crowd information set to obtain the candidate crowd and then intersection processing is performed, so that the target crowd can be obtained. Unlike the related art, each attribute information needs to be matched with the attribute of each user, and even if different groups contain the same attribute, the matching is performed multiple times. The method for determining the crowd to which the user belongs has the advantages of being few in matching times and high in matching efficiency.
According to the embodiment of the application, the candidate crowd is obtained by matching the attributes of the target users with the crowd, and further, the candidate crowd is subjected to intersection processing to obtain the target crowd to which the target users belong. According to the method for determining the user crowd, the candidate crowd based on the attribute information of the target user crowd is intersected, the target candidate crowd is determined, the process is simple, the matching times are few, the matching efficiency can be effectively improved, and the target candidate crowd can be determined more accurately.
Fig. 4 is a flowchart illustrating a method for determining a group to which a user belongs according to another embodiment of the present application.
As shown in fig. 4, a method for determining a group to which a user belongs according to an embodiment of the present application includes:
s401, a plurality of attribute information of the target user is obtained.
S402, aiming at each attribute information, matching the attribute information with the attribute information set of each crowd to obtain candidate crowds comprising the attribute information.
And S403, intersecting the candidate groups corresponding to the attribute information of the target user to obtain at least one target candidate group of the target object.
The contents of steps S401 to S403 can refer to the related contents in the above embodiments, and are not described herein again.
For example, the attribute 1 belongs to a crowd a and a crowd B, the attribute 2 belongs to the crowd a and the crowd B, and the attribute 3 belongs to the crowd a, the crowd B, and the crowd C, in which case the candidate crowd is subjected to intersection processing, and an overlapping portion is selected, so that the obtained crowd a and the crowd B are at least one target candidate crowd to which the target user belongs.
S404, information related to resource pushing of the target candidate group is obtained.
The information related to resource pushing may include at least one of the number of resource pushing times, the priority of resource pushing, and feedback data of the resource pushed by the target candidate group.
S405, determining a target crowd to which the target user belongs from at least one target candidate crowd based on the information related to resource pushing.
In a resource pushing scenario, different crowds of people tend to have different likes, so that pushed resources received by the crowds are different. In the embodiment of the application, the information related to resource pushing of the target candidate group can be acquired, and the target group to which the target user belongs can be determined from at least one target candidate group based on the information related to resource pushing.
As a possible implementation manner, the target group to which the target user belongs may be determined from at least one target candidate group based on the number of resource pushing times of the target candidate group. Optionally, the resource pushing times of at least one target candidate crowd are obtained, and the target candidate crowd with the resource pushing times not reaching the pushing time threshold is selected as the target crowd to which the target user belongs. In the implementation, a critical value exists in the receiving degree of the user population for the resource advertisement push, excessive resource push can cause the user population to feel the repugnance, and the negative effect of the propaganda causes the reduction of the flow. Meanwhile, frequent pushing cannot achieve effective promotion and drainage, and resource waste is often caused. In the embodiment of the application, after a plurality of target candidate groups are obtained, according to attribute information contained in each target candidate group, the resource pushing frequency threshold of the target candidate group is confirmed, then the number of pushed resources received by each target candidate group is counted, and the target candidate group below the pushing frequency threshold can be confirmed as the target group.
As another possible implementation manner, a target group to which the target user belongs may be determined from at least one target candidate group based on the push priority of the target candidate group. Optionally, a resource pushing priority is set for each crowd in advance, and when the resources are pushed, the resources can be pushed to each crowd according to the priority sequence. According to the resource pushing method and device, the resource pushing priority of each target candidate group can be obtained, then the target candidate group with the highest pushing priority is selected to serve as the target group of the target user, the target user can have higher priority, and the resource can be preferentially pushed to the target user.
As another possible implementation manner, the target group to which the target user belongs may be determined from at least one target candidate group based on feedback data of resources that have been pushed by the target candidate group. Optionally, feedback data of the resources pushed by the target candidate crowd history can be collected and counted to obtain an evaluation result of the target candidate crowd, and the best evaluation result can be selected as the target crowd in the application. Wherein, the evaluation result can reflect the pushing effect of the target candidate group. The pushing effect of the target crowd obtained through evaluation is good, the resources are pushed to the target user according to the target crowd with the good pushing effect, and the accuracy of resource delivery can be improved.
For example, feedback data of the number of commodities purchased in the pushed resource, the amount of the commodities and the like of each target candidate group in the historical resource pushing can be counted, evaluation and comparison are carried out, and the target candidate group with better feedback data can be used as the target group. Taking the mother-baby product promotion activity as an example, counting the purchase quantity and purchase amount feedback data of the candidate group with attribute information of 'mother' in the previous activity node, the candidate group with attribute information of 'woman' and the candidate group with attribute information of '26 years old' for the mother-baby products, evaluating the feedback data of the three groups, wherein the group with the largest purchase quantity and the largest purchase amount is the target group of the activity. As another possible implementation manner, a target group to which a target user belongs is determined from at least one target candidate group based on the resource push times and the push priorities of the target candidate groups. Optionally, the resource pushing times of the target candidate population are compared with respective pushing time thresholds, and in response to that the resource pushing times of at least one target candidate population all reach the pushing time threshold, the pushing priority of each target candidate population is further obtained, and the target candidate population with the highest priority is selected as the target population.
In the embodiment of the application, when the resource pushing times of the target candidate crowd reach the resource pushing threshold, the target candidate crowd with the front priority is determined as the target crowd, so that the target user has higher priority, and the resource can be preferentially pushed to the target user.
Taking a mother-and-baby product promotion activity as an example, setting attribute information required by the mother-and-baby product promotion activity as mom, women and 26 years old, and when the resource pushing frequency of a target candidate group containing the attribute information reaches a resource pushing threshold value, performing priority division on the candidate group. And setting the candidate group with the attribute information 'mom' as a first priority, the candidate group with the attribute information 'woman' as a second priority and the candidate group with the attribute information '26 years old' as a third priority, wherein the target candidate group containing the attribute of 'mom' can be used as the target group for pushing the activity resources.
As another possible implementation manner, a target group to which the target user belongs is determined from at least one target candidate group based on the resource pushing times of the target candidate group and feedback data of the pushed resources. Optionally, the resource pushing times of the target candidate population are compared with respective pushing time thresholds, in response to that the resource pushing times of at least one target candidate population all reach the pushing time threshold, feedback data of resources already pushed to each target candidate population are obtained, the resource pushing effect of the target candidate population is evaluated based on the feedback data, and the target candidate population with the best evaluation result is selected as the target population.
In the embodiment of the application, when the resource pushing times of the target candidate crowd all reach the resource pushing threshold, the target candidate crowd with the best evaluation result is determined as the target crowd, so that the target user has the best pushing resource and can have higher pushing accuracy.
Still taking the mother-and-baby product promotion activity as an example, the attribute information of the mother-and-baby product promotion activity requirement is set as "mom", "woman" and "26 years old", and when the resource pushing frequency of the target candidate group containing the attribute information reaches the resource pushing threshold value, the node of the previous activity is counted, and the purchase amount and the purchase quantity of the candidate group for the mother-and-baby products are calculated. And the target crowd can be identified by considering the crowd with large purchase quantity and high money amount in the candidate crowd.
As another possible implementation manner, the target group to which the target user belongs is determined from at least one target candidate group based on the resource pushing times of the target candidate group, the feedback data of the pushed resources, and the priority. And if two or more target candidate groups are selected based on the feedback data, the priority can be combined, and the target group with high priority is selected. The target candidate crowd with good evaluation results is selected first, and then the target candidate crowd with the highest priority is selected from the target crowd with good evaluation results to serve as the target crowd, so that the target user has the best resource pushing and the highest priority resource pushing.
It should be noted that the three different selection conditions for the target population are parallel in the above embodiment, and when the target population is confirmed, the target population may be screened according to any one of the three selection conditions, or two or more selection conditions may be included at the same time.
S406, obtaining the resource to be pushed matched with the target crowd.
According to the resource pushing method and device, the resources to be pushed, which meet the preference or requirements of each crowd, can be screened out from the massive pushing resources based on the attribute information sets of the crowds.
S407, sending the resource to be pushed to the terminal equipment where the target user is located.
In the embodiment of the application, after the target crowd and the pushed resources are confirmed, the resources can be pushed to the terminal equipment used by the target crowd user through the server.
According to the method and the device, the candidate crowd is obtained by matching the attributes of the target users with the crowd, and further, intersection processing is carried out on the candidate crowd so as to obtain the target crowd for resource delivery. According to the method for determining the user crowd, the candidate crowd based on the attribute information of the target user crowd is intersected, the target candidate crowd is determined, the process is simple, the matching times are few, the matching efficiency can be effectively improved, and the target candidate crowd can be determined more accurately.
In order to implement the method for determining a group to which a user belongs according to the foregoing embodiment, an embodiment of the present application further provides a device for determining a group to which a user belongs, as shown in fig. 5, fig. 5 is a schematic structural diagram of a device for determining a group to which a user belongs according to an embodiment of the present application, where the device 500 for determining a group to which a user belongs includes a first obtaining module 51, a second obtaining module 52, and a third obtaining module 53, and includes:
a first obtaining module 51, configured to obtain a plurality of attribute information of a target user;
a second obtaining module 52, configured to match, for each attribute information, the attribute information with the attribute information set of each crowd to obtain a candidate crowd including the attribute information;
the third obtaining module 53 is configured to intersect the candidate groups corresponding to each attribute information to obtain a target group to which the target user belongs.
The device for determining the crowd to which the user belongs obtains a plurality of attribute information of the target user, obtains the candidate crowd based on the attribute information, and then performs intersection processing on the candidate crowd to obtain the target crowd to which the target user belongs. In the application, the candidate crowd based on the attribute information of the target user crowd is intersected, so that the target candidate crowd is determined, the flow is simple, the matching times are few, the matching efficiency can be effectively improved, and the target candidate crowd can be determined more accurately.
Fig. 6 is a schematic structural diagram of an apparatus for determining a group to which a user belongs according to another embodiment of the present application, and as shown in fig. 6, the apparatus 600 for determining a group to which a user belongs includes a first obtaining module 61, a second obtaining module 62, a third obtaining module 63, and a resource pushing module 64.
It should be particularly noted that the first obtaining module 51, the second obtaining module 52, the third obtaining module 53, and the first obtaining module 61, the second obtaining module 62, and the third obtaining module 63 have the same structure and function.
In this embodiment of the application, the third obtaining module 63 further includes an intersection unit 631, an information obtaining unit 632, and a determining unit 633, where:
the intersection unit 631 is configured to intersect the candidate groups corresponding to the attribute information of the target user to obtain at least one target candidate group of the target object;
an information obtaining unit 632, configured to obtain information about resource pushing of the target candidate group;
a determining unit 633, configured to determine, from the at least one target candidate population, a target population to which the target user belongs, based on the information related to the resource pushing.
Further, the determining unit 633 of the third obtaining unit in the device for determining a group to which a user belongs according to the embodiment of the present application further includes: acquiring the resource pushing times of at least one target candidate crowd; and selecting the target candidate crowd with the resource pushing times not reaching the pushing time threshold value as the target crowd to which the target user belongs.
Wherein the determining unit 633 is further configured to:
and responding to the fact that the resource pushing times of at least one target candidate crowd all reach a pushing time threshold, obtaining the pushing priority of at least one target candidate crowd, and selecting the target candidate crowd with the highest priority as the target crowd.
Responding to that the resource pushing times of at least one target candidate crowd all reach a pushing time threshold value, and obtaining feedback data of resources already pushed to the at least one target candidate crowd; and evaluating resources of at least one target candidate group based on the feedback data, and selecting the target candidate group with the best evaluation result as the target group.
The determining unit 633 of the third obtaining unit in the crowd determining apparatus to which the user belongs according to the embodiment of the present application further includes: and acquiring the resource pushing priority of at least one target candidate crowd, and selecting the target candidate crowd with the highest pushing priority as the target crowd.
The determining unit 633 of the third obtaining unit in the crowd determining apparatus to which the user belongs according to the embodiment of the present application further includes: obtaining feedback data of resources pushed to at least one target candidate group; and evaluating resources of at least one target candidate group based on the feedback data, and selecting the target candidate group with the best evaluation result as the target group.
The device for determining the crowd to which the user belongs provided by the embodiment of the application further includes a resource pushing module 64, wherein the resource pushing module 64 is configured to, after acquiring the target crowd to which the target user belongs, acquire the resource to be pushed that is matched with the target crowd, and send the resource to be pushed to the terminal device where the target user belongs. .
In the application, the candidate crowd based on the attribute information of the target user crowd is intersected, so that the target candidate crowd is determined, the flow is simple, the matching times are few, the matching efficiency can be effectively improved, and the target candidate crowd can be determined more accurately.
There is also provided, in accordance with an embodiment of the present application, an electronic device, a readable storage medium, and a computer program product.
FIG. 7 illustrates a schematic block diagram of an example electronic device 700 that can be used to implement embodiments of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 7, the apparatus 700 includes a memory 710, a processor 720 and a computer program stored in the memory 710 and running on the processor 720, and when the processor 720 executes the program instructions, the method for determining the group to which the user belongs according to the above embodiment is implemented.
According to the electronic device provided by the embodiment of the application, the processor 720 executes the computer program stored in the memory 710, matches the attribute information required by resource pushing with the user crowd to obtain the target candidate crowd, and performs intersection operation according to the target candidate crowd to obtain the target crowd of the crowd to which the user belongs. In the application, the candidate crowd based on the attribute information of the target user crowd is intersected, so that the target candidate crowd is determined, the flow is simple, the matching times are few, the matching efficiency can be effectively improved, and the target candidate crowd can be determined more accurately.
A computer-readable storage medium is provided, and stores a computer program, which when executed by the processor 720, implements the method for determining the crowd to which the user belongs.
The computer-readable storage medium of the embodiment of the application stores a computer program, is executed by a processor, executes the computer program stored in the memory 710 through the processor 720, matches attribute information required for resource pushing with user crowds to obtain target candidate crowds, and performs intersection operation according to the target candidate crowds to obtain the target crowds of the crowds to which the user belongs. In the application, the candidate crowd based on the attribute information of the target user crowd is intersected, so that the target candidate crowd is determined, the flow is simple, the matching times are few, the matching efficiency can be effectively improved, and the target candidate crowd can be determined more accurately.
The computer program product provided by the embodiment of the present application includes a computer program, and when the computer program is executed by a processor, the method for determining the crowd to which the user belongs is implemented.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methodologies themselves may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may 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 a machine-readable storage medium would include an electrical connection based on 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can 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, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), the internet, and blockchain networks.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The service end can be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service (Virtual Private Server, or VPS for short). The server may also be a server of a distributed system, or a server incorporating a blockchain.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present application can be achieved, and the present invention is not limited herein.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (19)

1. A method for determining a group of people to which a user belongs, comprising:
acquiring a plurality of attribute information of a target user;
matching the attribute information with an attribute information set of each crowd according to each attribute information to obtain candidate crowds comprising the attribute information;
and intersecting the candidate crowds corresponding to each attribute information to obtain a target crowd to which the target user belongs.
2. The method according to claim 1, wherein the intersecting the candidate groups corresponding to each of the attribute information to obtain the target group to which the target user belongs includes:
intersecting the candidate groups corresponding to the attribute information of the target user to obtain at least one target candidate group of the target object;
acquiring information related to resource pushing of the target candidate group;
and determining a target crowd to which the target user belongs from the at least one target candidate crowd based on the information related to resource pushing.
3. The method according to claim 2, wherein the determining the target group to which the target user belongs from the at least one target candidate group based on the information related to resource pushing comprises;
acquiring the resource pushing times of the at least one target candidate crowd;
and selecting the target candidate crowd with the resource pushing times not reaching the pushing time threshold value as the target crowd to which the target user belongs.
4. The method according to claim 2, wherein the determining the target group to which the target user belongs from the at least one target candidate group based on the information related to resource pushing comprises:
and acquiring the resource pushing priority of the at least one target candidate crowd, and selecting the target candidate crowd with the highest pushing priority as the target crowd.
5. The method according to claim 2, wherein the determining the target group to which the target user belongs from the at least one target candidate group based on the information related to resource pushing comprises:
obtaining feedback data for resources already pushed to the at least one target candidate population;
and evaluating the resources of the at least one target candidate group based on the feedback data, and selecting the target candidate group with the best evaluation result as the target group.
6. The method of claim 3, further comprising:
and in response to that the resource pushing times of the at least one target candidate crowd all reach the pushing time threshold, acquiring the pushing priority of the at least one target candidate crowd, and selecting the target candidate crowd with the highest priority as the target crowd.
7. The method of claim 6, further comprising:
responding to that the resource pushing times of the at least one target candidate crowd all reach the pushing time threshold value, and acquiring feedback data of the resources pushed to the at least one target candidate crowd;
and evaluating the resources of the at least one target candidate group based on the feedback data, and selecting the target candidate group with the best evaluation result as the target group.
8. The method for determining the crowd to which the user belongs according to any one of claims 1 to 7, wherein after the obtaining the target crowd to which the target user belongs, the method further comprises:
acquiring resources to be pushed matched with the target crowd;
and sending the resource to be pushed to the terminal equipment where the target user is located.
9. An apparatus for determining a population to which a user belongs, comprising:
the first acquisition module is used for acquiring a plurality of attribute information of a target user;
a second obtaining module, configured to match, for each piece of attribute information, the attribute information with an attribute information set of each crowd to obtain a candidate crowd including the attribute information;
and the third acquisition module is used for intersecting the candidate crowds corresponding to each attribute information to acquire the target crowds to which the target users belong.
10. The apparatus for determining the crowd to which the user belongs according to claim 9, wherein the third obtaining module comprises:
the intersection unit is used for intersecting the candidate crowds corresponding to the attribute information of the target user to obtain at least one target candidate crowd of the target object;
the information acquisition unit is used for acquiring information related to resource pushing of the target candidate crowd;
a determining unit, configured to determine, from the at least one target candidate group, a target group to which the target user belongs, based on the information related to resource pushing.
11. The apparatus of claim 10, wherein the determining unit is further configured to:
acquiring the resource pushing times of the at least one target candidate crowd;
and selecting the target candidate crowd with the resource pushing times not reaching the pushing time threshold value as the target crowd to which the target user belongs.
12. The apparatus of claim 10, wherein the determining unit is further configured to:
and acquiring the resource pushing priority of the at least one target candidate crowd, and selecting the target candidate crowd with the highest pushing priority as the target crowd.
13. The apparatus of claim 10, wherein the determining unit is further configured to:
obtaining feedback data for resources already pushed to the at least one target candidate population;
and evaluating the resources of the at least one target candidate group based on the feedback data, and selecting the target candidate group with the best evaluation result as the target group.
14. The apparatus of claim 11, wherein the determining unit is further configured to:
and in response to that the resource pushing times of the at least one target candidate crowd all reach the pushing time threshold, acquiring the pushing priority of the at least one target candidate crowd, and selecting the target candidate crowd with the highest priority as the target crowd.
15. The apparatus of claim 14, wherein the determining unit is further configured to:
responding to that the resource pushing times of the at least one target candidate crowd all reach the pushing time threshold value, and acquiring feedback data of the resources pushed to the at least one target candidate crowd;
and evaluating the resources of the at least one target candidate group based on the feedback data, and selecting the target candidate group with the best evaluation result as the target group.
16. The apparatus for determining the population to which the user belongs according to any one of claims 9-15, further comprising:
and the resource pushing module is used for acquiring the resource to be pushed matched with the target crowd after acquiring the target crowd to which the target user belongs, and sending the resource to be pushed to the terminal equipment where the target user is located.
17. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of determining a population to which a user belongs of any one of claims 1-8.
18. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of determining the population to which a user belongs according to any one of claims 1-8.
19. A computer program product comprising a computer program which, when executed by a processor, implements a method of determining a population to which a user belongs according to any one of claims 1-8.
CN202011621995.5A 2020-12-31 2020-12-31 Method and device for determining user belonging crowd, electronic equipment and storage medium Pending CN112785369A (en)

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