CN112581161A - Object selection method and device, storage medium and electronic equipment - Google Patents

Object selection method and device, storage medium and electronic equipment Download PDF

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CN112581161A
CN112581161A CN202011411513.3A CN202011411513A CN112581161A CN 112581161 A CN112581161 A CN 112581161A CN 202011411513 A CN202011411513 A CN 202011411513A CN 112581161 A CN112581161 A CN 112581161A
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target
selection parameter
object group
objects
selection
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CN112581161B (en
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王毅君
徐凯波
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Shanghai Minglue Artificial Intelligence Group Co Ltd
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Shanghai Minglue Artificial Intelligence Group Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0269—Targeted advertisements based on user profile or attribute
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services

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Abstract

The application provides an object selection method and device, a storage medium and an electronic device, wherein the method comprises the following steps: obtaining a plurality of object groups from a plurality of matching objects matched with a target label combination, wherein the target label combination comprises a plurality of target labels corresponding to an article provider; determining a first selection parameter, wherein the first selection parameter is a ratio between the number of objects contained in each object group in the plurality of object groups and the total number of objects contained in the plurality of matching objects; determining a second selection parameter, wherein the second selection parameter is the proportion of the number of the objects which have an association relationship with the item provider in each object group to the number of the objects contained in each object group; and selecting a target object group from the plurality of object groups according to the first selection parameter and the second selection parameter. Through the application, the problems that in the related technology, the delivered crowd is not accurate enough and resources are wasted due to the fact that the coverage of the crowd is too wide are solved.

Description

Object selection method and device, storage medium and electronic equipment
Technical Field
The present application relates to the field of e-commerce sales, and in particular, to an object selection method and apparatus, a storage medium, and an electronic device.
Background
The e-commerce platform prints a shopping tag for each user through actions of individual browsing, shopping cart adding, purchasing and the like of the user, and matches corresponding commodities with the shopping tag. The seller can select a part of users with high purchasing tendency to place advertisements through the combination of the labels, so that the shop exposure is improved, and the sales volume is increased.
However, in the above information pushing manner, the coverage of the selected crowd is too wide, and the throwing crowd is not accurate enough, which may result in too high throwing cost of the seller and waste of resources.
Therefore, the information push method in the related art has the problem of resource waste due to the wide coverage of the push crowd.
Disclosure of Invention
The embodiment of the application provides an object selection method and device, a storage medium and electronic equipment, and aims to at least solve the problem that resource waste is caused by the fact that the coverage of pushed crowds is too wide in the related art.
According to an aspect of an embodiment of the present application, there is provided an object selection method, including:
obtaining a plurality of object groups from a plurality of matching objects matched with a target label combination, wherein the target label combination comprises a plurality of target labels corresponding to an article provider;
determining a first selection parameter, wherein the first selection parameter is a ratio between the number of objects included in each object group in the plurality of object groups and the total number of objects included in the plurality of matching objects;
determining a second selection parameter, wherein the second selection parameter is a ratio of the number of objects in each object group, which have an association relationship with the item provider, to the number of objects included in each object group;
and selecting a target object group from the plurality of object groups according to the first selection parameter and the second selection parameter, wherein the target object group is an object group for pushing the associated information of the article provider.
Optionally, the selecting a target object group from the plurality of object groups according to the first selection parameter and the second selection parameter includes:
acquiring a third selection parameter, wherein the third selection parameter is a proportion of the number of objects in the plurality of matching objects, which have an association relationship with the item provider, to the total number of objects included in the plurality of matching objects;
and selecting a target object group from the plurality of object groups according to the first selection parameter, the second selection parameter and the third selection parameter.
Optionally, the selecting, according to the first selection parameter, the second selection parameter, and the third selection parameter, a target object group from the plurality of object groups includes:
determining a target coordinate point corresponding to each object group in a two-dimensional coordinate system, wherein the abscissa of the target coordinate point is the first selection parameter, and the ordinate of the target coordinate point is a value obtained by dividing the product of the first selection parameter and the second selection parameter by the third selection parameter;
determining an area of a region with the coordinate origin, the target coordinate point, a first coordinate point and a second coordinate point as vertexes, as a target selection parameter corresponding to each object group, wherein the first coordinate point is (1,1), and the second coordinate point is (1, 0);
and selecting the target object group from the plurality of object groups according to the target selection parameter.
Optionally, the selecting the target object group from the plurality of object groups according to the target selection parameter includes:
and selecting the corresponding object group with the maximum target selection parameter from the plurality of object groups as the target object group.
Optionally, before the obtaining of the plurality of object groups matching the target tag combination, the method further includes:
acquiring a target updating period, wherein the target updating period is a period for updating the selected object group;
acquiring the plurality of object groups matched with the target label combination when the update time indicated by the target update period is reached.
Optionally, the determining the second selection parameter includes:
determining a number of objects in each of the object groups having an association with the item provider, wherein the objects having an association with the item provider include one of: the object which has exchanged resources with the item provider, the object which has performed collection operation on the item provider, and the object which has performed selection operation on the item provided by the item provider;
determining the number of objects contained in each object group;
determining a ratio of the number of objects in each object group having an association relationship with the item provider to the number of objects included in each object group as the second selection parameter.
Optionally, after the selecting a target object group from the plurality of object groups according to the first selection parameter and the second selection parameter, the method further includes:
selecting target item information pushed for each target object in the target object group from a plurality of item information provided by the item provider;
and pushing the target article information to the client of each target object.
According to an aspect of an embodiment of the present application, there is provided an object selecting apparatus, including:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a plurality of object groups from a plurality of matched objects matched with a target label combination, and the target label combination comprises a plurality of target labels corresponding to an article provider;
a first determining module, configured to determine a first selection parameter, where the first selection parameter is a ratio between a number of objects included in each of the object groups in the multiple object groups and a total number of objects included in the multiple matching objects;
a second determining module, configured to determine a second selection parameter, where the second selection parameter is a ratio of the number of objects in each object group, which have an association relationship with the item provider, to the number of objects included in each object group;
and the first selection module is used for selecting a target object group from the plurality of object groups according to the first selection parameter and the second selection parameter, wherein the target object group is an object group of the associated information of the article provider to be pushed.
Optionally, the first selecting module includes:
the acquisition unit is used for acquiring a third selection parameter, wherein the third selection parameter is a proportion of the number of the objects which have an association relation with the item provider in the plurality of matching objects to the total number of the objects contained in the plurality of matching objects;
and the selecting unit is used for selecting a target object group from the plurality of object groups according to the first selecting parameter, the second selecting parameter and the third selecting parameter.
Optionally, the selected unit includes:
a first determining subunit, configured to determine a target coordinate point corresponding to each object group in a two-dimensional coordinate system, where an abscissa of the target coordinate point is the first selection parameter, and an ordinate of the target coordinate point is a value obtained by dividing a product of the first selection parameter and the second selection parameter by the third selection parameter;
a second determining subunit, configured to determine, as a target selection parameter corresponding to each object group, an area of a region having a coordinate origin, the target coordinate point, a first coordinate point, and a second coordinate point as vertexes, where the first coordinate point is (1,1), and the second coordinate point is (1, 0);
and the first selection subunit is used for selecting the target object group from the plurality of object groups according to the target selection parameter.
Optionally, the first selecting subunit includes:
and the second selection subunit is configured to select, as the target object group, an object group with the largest corresponding target selection parameter from the multiple object groups.
Optionally, the apparatus further comprises:
a second obtaining module, configured to obtain a target update period before obtaining the plurality of object groups matched with the target tag combination, where the target update period is a period for updating the selected object group;
and a third obtaining module, configured to obtain the multiple object groups matched with the target tag combination when the update time indicated by the target update period is reached.
Optionally, the second determining module includes:
a first determining unit, configured to determine the number of objects in each object group having an association relationship with the item provider, wherein the objects having an association relationship with the item provider include one of: the object which has exchanged resources with the item provider, the object which has performed collection operation on the item provider, and the object which has performed selection operation on the item provided by the item provider;
a second determining unit configured to determine the number of objects included in each of the object groups;
a third determining unit, configured to determine, as the second selection parameter, a ratio of the number of objects in each object group that have an association relationship with the item provider to the number of objects included in each object group.
Optionally, the apparatus further comprises:
a second selecting module, configured to select, after the target object group is selected from the multiple object groups according to the first selecting parameter and the second selecting parameter, target object information pushed by each target object in the target object group from multiple item information provided by the item provider;
and the pushing module is used for pushing the target article information to the client side of each target object.
According to another aspect of the embodiments of the present application, there is also provided an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory communicate with each other through the communication bus; wherein the memory is used for storing the computer program; a processor for executing the steps of the object selection method in any of the above embodiments by running the computer program stored on the memory.
According to a further aspect of the embodiments of the present application, there is further provided a computer-readable storage medium, in which a computer program is stored, where the computer program is configured to execute the steps of the object selection method in any of the above embodiments when the computer program is executed.
According to yet another aspect of an embodiment of the present application, there is also provided a computer program product or a computer program comprising computer instructions stored in a computer readable storage medium; the processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the steps of the object selection method in any of the embodiments.
According to the embodiment of the application, the plurality of object groups matched with the target label combination are obtained, the first selection parameters and the second selection parameters corresponding to each object group in the plurality of object groups are utilized, the target object group is selected from the plurality of object groups, and the target object group is used as the information object of the delivered object, so that the problems that the delivered crowd is not accurate enough and resources are wasted due to the fact that the coverage of the crowd is too wide are avoided.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a diagram of a hardware environment for an alternative object selection method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart diagram illustrating an alternative object selection method according to an embodiment of the present application;
FIG. 3 is an area illustration schematic of an alternative region according to an embodiment of the present application;
FIG. 4 is a block diagram of an alternative object selection apparatus according to an embodiment of the present application;
fig. 5 is a block diagram of an alternative electronic device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
On a common E-commerce platform, a seller can select a part of users with high purchasing tendency through the combination of labels to put advertisements, so that the exposure of stores is improved, and the sales volume is increased. However, if the selected crowd coverage is too wide, the releasing crowd is not accurate enough, the releasing cost of the seller is too high, and the releasing crowd is accurate enough to cause the problem of insufficient exposure of the commodities. In order to solve the above problem, embodiments of the present application provide an object selection method and apparatus, a storage medium, and an electronic device.
According to an aspect of an embodiment of the present application, there is provided an object selection method. Optionally, in this embodiment, the object selection method may be applied to a hardware environment as shown in fig. 1. As shown in fig. 1, the terminal 102 may include a memory 104, a processor 106, and a display 108 (optional components). The terminal 102 may be communicatively coupled to a server 112 via a network 110, the server 112 may be configured to provide services (e.g., gaming services, application services, etc.) to the terminal or to clients installed on the terminal, and a database 114 may be provided on the server 112 or separate from the server 112 to provide data storage services to the server 112. Additionally, a processing engine 116 may be run in the server 112, and the processing engine 116 may be used to perform the steps performed by the server 112.
Alternatively, the terminal 102 may be, but is not limited to, a terminal capable of calculating data, such as a mobile terminal (e.g., a mobile phone, a tablet Computer), a notebook Computer, a PC (Personal Computer) Computer, and the like, and the network may include, but is not limited to, a wireless network or a wired network. Wherein, this wireless network includes: bluetooth, WIFI (Wireless Fidelity), and other networks that enable Wireless communication. Such wired networks may include, but are not limited to: wide area networks, metropolitan area networks, and local area networks. The server 112 may include, but is not limited to, any hardware device capable of performing computations.
In addition, in this embodiment, the object selection method may also be applied to, but not limited to, an independent processing device with a relatively high processing capability without data interaction. For example, the processing device may be, but is not limited to, a terminal device with a relatively high processing capability, that is, each operation in the object selection method may be integrated into a single processing device. The above is merely an example, and this is not limited in this embodiment.
Optionally, in this embodiment, the object selection method may be executed by the server 112, taking the server as an example, and fig. 2 is a schematic flow chart of an optional object selection method according to an embodiment of the present application, as shown in fig. 2, the flow of the method may include the following steps:
step S201, a plurality of object groups are acquired from a plurality of matching objects matched with a target tag combination, wherein the target tag combination includes a plurality of target tags corresponding to an item provider.
Optionally, the server first obtains user browsing information, a shopping cart adding behavior, an article purchasing behavior, a merchant store paying behavior and the like of the merchant platform, and the article provider (which may be a seller) marks the user according to the definition of the user behavior, so that each user has a tag.
The embodiment of the application can group the tags, for example, a group of tags is male, sports enthusiasts and music enthusiasts in the age of 20-30, the total number of the matched objects meeting the tag combination is matched on the tag combination business platform, for example, the total number of the matched objects is 100, a plurality of crowd bags are selected from the matched objects (for example, 3 crowd bags are selected in a circle), and a plurality of object groups are obtained, for example, the number of people in each object group is 10. The label combination can be selected at will, and the embodiment of the application does not specifically limit the label combination. In addition, all target users meeting the label combination are selected to form a plurality of object groups, one object group represents one crowd package, one crowd package comprises a plurality of matched objects meeting the label combination, the matched objects can be users, and the object groups are used as a plurality of alternative crowd packages.
Step S202, determining a first selection parameter, where the first selection parameter is a ratio between the number of objects included in each object group in the plurality of object groups and the total number of objects included in the plurality of matching objects.
Optionally, a ratio between the number of objects included in each object group in the plurality of object groups and the total number of objects included in the plurality of matching objects is used to determine a first selected parameter, i.e. the crowd ratio, which may be represented by r, where r is 10/100.
Step S203, determining a second selection parameter, where the second selection parameter is a ratio of the number of objects in each object group, which have an association relationship with the item provider, to the number of objects included in each object group.
Alternatively, the second selection parameter, i.e. the crowd conversion rate, may be determined according to the ratio of the number of objects (e.g. 5 people) in each object group, which have an association relationship with the item provider, to the number of objects (10 people) included in each object group, where v is 5/10.
It should be noted that, in the embodiments of the present application, an object having an association relationship with an item provider is specifically an object associated with a benefit of the item provider.
Step S204, a target object group is selected from the object groups according to the first selection parameter and the second selection parameter, wherein the target object group is an object group of the associated information of the article provider to be pushed.
Optionally, a target object group selected from the plurality of object groups is pushed to the item provider, and the target object group is selected according to the first selection parameter and the second selection parameter.
According to the embodiment of the application, the plurality of object groups matched with the target label combination are obtained, the first selection parameters and the second selection parameters corresponding to each object group in the plurality of object groups are utilized, the target object group is selected from the plurality of object groups, and the target object group is used as the information object of the delivered object, so that the problems that the delivered crowd is not accurate enough and resources are wasted due to the fact that the coverage of the crowd is too wide are avoided.
As an alternative embodiment, the selecting the target object group from the plurality of object groups according to the first selection parameter and the second selection parameter includes:
acquiring a third selection parameter, wherein the third selection parameter is the proportion of the number of objects which have an association relation with an article provider in the plurality of matching objects to the total number of objects contained in the plurality of matching objects;
and selecting a target object group from the plurality of object groups according to the first selection parameter, the second selection parameter and the third selection parameter.
Optionally, the number of objects associated with the object provider is selected from a plurality of object groups, and then the third selected parameter, i.e. the overall crowd conversion rate, is determined as the ratio of the number of objects (e.g. 20 people) associated with the object provider in the plurality of object groups to the total number of objects included in the plurality of matching objects, and may be v’Denotes that at this time v’＝20/100。
And then, according to the first selection parameter, the second selection parameter and the third selection parameter, selecting a target object group from the plurality of object groups.
As an optional embodiment, the selecting the target object group from the plurality of object groups according to the first selection parameter, the second selection parameter, and the third selection parameter includes:
determining a target coordinate point corresponding to each object group in a two-dimensional coordinate system, wherein the abscissa of the target coordinate point is a first selection parameter, and the ordinate of the target coordinate point is a value obtained by dividing the product of the first selection parameter and a second selection parameter by a third selection parameter;
determining the area of a region with the coordinate origin, the target coordinate point, the first coordinate point and the second coordinate point as vertexes, and selecting parameters for the target corresponding to each object group, wherein the first coordinate point is (1,1), and the second coordinate point is (1, 0);
and selecting a target object group from the plurality of object groups according to the target selection parameter.
Alternatively, in the embodiment of the present application, a target object group is selected from a plurality of object groups according to an area under the curve calculation model of AUC, which can be seen in fig. 3.
In fig. 3, the value obtained by dividing the product of the first selected parameter and the second selected parameter by the third selected parameter is taken as the abscissa, and the value range is (0, 1)
Figure BDA0002818833660000111
Taking the value range (0, 1) as the ordinate, and simultaneously selecting a target coordinate point
Figure BDA0002818833660000112
The first coordinate point (1,1) and the second coordinate point (1,0) are used as the basis for selecting a target object group from a plurality of object groups, wherein the area of a region with the target coordinate point, the first coordinate point and the second coordinate point as vertexes is used as the basis.
For example, an object group having the largest corresponding target extraction parameter is selected from the plurality of object groups as a target object group.
The AUC model is applied to the selection of the target object group, and uncertainty caused by the fact that the target object group is selected through subjective experience is avoided.
As an alternative embodiment, before obtaining the plurality of object groups matching the target tag combination, the method further comprises:
acquiring a target updating period, wherein the target updating period is a period for updating the selected object group;
in the case where the update time indicated by the target update cycle is reached, a plurality of object groups matching the target tag combination are acquired.
Optionally, the target update cycle may be set, the target update cycle is used as a cycle time period for selecting the object group, and the plurality of object groups matched with the target tag are combined when the update time indicated by the target update cycle is reached.
According to the method and the device, the time for selecting the object groups is controlled by setting the target updating period, and certain network resources can be saved.
As an alternative embodiment, the determining the second selected parameter includes:
determining a number of objects in each object group having an association with an item provider, wherein an object having an association with an item provider comprises one of: the object which has exchanged resources with the item provider, the object which has performed collection operation on the item provider, and the object which has performed selection operation on the item provided by the item provider;
determining the number of objects contained in each object group;
and determining the ratio of the number of the objects which are in the association relationship with the item provider in each object group to the number of the objects contained in each object group as a second selection parameter.
Optionally, in this embodiment of the present application, objects having an association relationship with an item provider are extracted from each object group, and a number of objects having an association relationship with the item provider is obtained, where the association relationship may be: the method comprises the steps of purchasing commodities of an item provider once, collecting a seller shop of the item provider once, browsing the shop commodities of the item provider once, adding the shop commodities into a shopping cart once and the like, searching objects which accord with the association relations from each object group according to the association relations, determining the number corresponding to the objects, and determining the ratio of the number of the objects which have the association relations with the item provider in each object group to the number of the objects contained in each object group as a second selection parameter.
According to the method and the device, the object which is in the incidence relation with the article provider is found from each object group, and the conversion rate of each object group can be accurately obtained, so that the object group which needs the seller to put commodity information is accurately determined, the putting range is narrowed, and the cost is saved.
As an optional embodiment, after the target object group is selected from the plurality of object groups according to the first selection parameter and the second selection parameter, the method further includes:
selecting target item information pushed for each target object in a target object group from a plurality of item information provided by an item provider;
and pushing the target article information to the client of each target object.
Optionally, after the target object group is selected from the plurality of object groups, commodity information needs to be pushed to the selected target object group, at this time, the target object information pushed for each target object in the target object group (for example, perfume is pushed to the target object a, and glasses are pushed to the target object B) can be selected from the plurality of item information (for example, glasses, mouth number, perfume) provided by the item provider, and the pushed target object information is displayed on the client computer of each target object, so that the requirements of each client user are better met, and user experience and seller income are improved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., a ROM (Read-Only Memory)/RAM (Random Access Memory), a magnetic disk, an optical disk) and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the methods of the embodiments of the present application.
According to another aspect of the embodiment of the present application, an object selecting apparatus for implementing the object selecting method is also provided. Fig. 4 is a schematic diagram of an alternative object selecting apparatus according to an embodiment of the present application, and as shown in fig. 4, the apparatus may include:
a first obtaining module 401, configured to obtain a plurality of object groups from a plurality of matching objects matched with a target tag combination, where the target tag combination includes a plurality of target tags corresponding to an item provider;
a first determining module 402, configured to determine a first selection parameter, where the first selection parameter is a ratio between a number of objects included in each object group in the plurality of object groups and a total number of objects included in the plurality of matching objects;
a second determining module 403, configured to determine a second selection parameter, where the second selection parameter is a ratio of the number of objects in each object group, which have an association relationship with the item provider, to the number of objects included in each object group;
the first selecting module 404 is configured to select a target object group from the multiple object groups according to the first selecting parameter and the second selecting parameter, where the target object group is an object group of the associated information of the article provider to be pushed.
It should be noted that the first obtaining module 401 in this embodiment may be configured to execute the step S201, the first determining module 402 in this embodiment may be configured to execute the step S202, the second determining module 403 in this embodiment may be configured to execute the step S203, and the first selecting module 404 in this embodiment may be configured to execute the step S204.
Through the module, a plurality of object groups matched with the target label combination are obtained, the first selection parameters and the second selection parameters corresponding to each object group in the object groups are utilized, then the target object groups are selected from the object groups, and the target object groups are used as information objects of delivered articles, so that the problems that the delivered populations are not accurate enough and resources are wasted due to the fact that the coverage of the populations is too wide are avoided.
As an alternative embodiment, the first selecting module includes:
the acquisition unit is used for acquiring a third selection parameter, wherein the third selection parameter is the proportion of the number of objects which have an association relationship with the article provider in the plurality of matching objects to the total number of objects contained in the plurality of matching objects;
and the selecting unit is used for selecting the target object group from the plurality of object groups according to the first selecting parameter, the second selecting parameter and the third selecting parameter.
As an alternative embodiment, the selected cell includes:
the first determining subunit is used for determining a target coordinate point corresponding to each object group in the two-dimensional coordinate system, wherein the abscissa of the target coordinate point is a first selection parameter, and the ordinate of the target coordinate point is a value obtained by dividing the product of the first selection parameter and the second selection parameter by a third selection parameter;
a second determining subunit, configured to determine, as a target selection parameter corresponding to each object group, an area of a region having the origin of coordinates, the target coordinate point, the first coordinate point, and the second coordinate point as vertices, where the first coordinate point is (1,1), and the second coordinate point is (1, 0);
and the first selection subunit is used for selecting the target object group from the plurality of object groups according to the target selection parameter.
As an alternative embodiment, the first selecting subunit includes:
and the second selection subunit is used for selecting the object group with the maximum corresponding target selection parameter from the plurality of object groups as the target object group.
As an alternative embodiment, the apparatus further comprises:
the second acquisition module is used for acquiring a target updating period before acquiring a plurality of object groups matched with the target label combination, wherein the target updating period is a period for updating the selected object groups;
and the third acquisition module is used for acquiring a plurality of object groups matched with the target label combination under the condition that the updating time indicated by the target updating period is reached.
As an alternative embodiment, the second determining module includes:
a first determining unit, configured to determine the number of objects in each object group having an association relationship with an item provider, where the objects having an association relationship with the item provider include one of: the object which has exchanged resources with the item provider, the object which has performed collection operation on the item provider, and the object which has performed selection operation on the item provided by the item provider;
a second determining unit configured to determine the number of objects included in each object group;
and the third determining unit is used for determining the ratio of the number of the objects which are in the association relationship with the item provider in each object group to the number of the objects contained in each object group as a second selection parameter.
As an alternative embodiment, the apparatus further comprises:
the second selection module is used for selecting target object information pushed by each target object in the target object group from the plurality of item information provided by the item provider after selecting the target object group from the plurality of object groups according to the first selection parameter and the second selection parameter;
and the pushing module is used for pushing the target article information to the client side of each target object.
It should be noted here that the modules described above are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the above embodiments. It should be noted that the modules described above as a part of the apparatus may be operated in a hardware environment as shown in fig. 1, and may be implemented by software, or may be implemented by hardware, where the hardware environment includes a network environment.
According to another aspect of the embodiments of the present application, there is also provided an electronic device for implementing the object selection method, where the electronic device may be a server, a terminal, or a combination thereof.
Fig. 5 is a block diagram of an alternative electronic device according to an embodiment of the present application, as shown in fig. 5, including a processor 501, a communication interface 502, a memory 503, and a communication bus 504, where the processor 501, the communication interface 502, and the memory 503 are communicated with each other through the communication bus 504, where,
a memory 503 for storing a computer program;
the processor 501, when executing the computer program stored in the memory 503, implements the following steps:
s1, acquiring a plurality of object groups from a plurality of matching objects matched with target label combinations, wherein the target label combinations comprise a plurality of target labels corresponding to the item providers;
s2, determining a first selection parameter, wherein the first selection parameter is the proportion between the number of the objects contained in each object group in the plurality of object groups and the total number of the objects contained in the plurality of matched objects;
s3, determining a second selection parameter, wherein the second selection parameter is the proportion of the number of the objects which are in the association relationship with the item provider in each object group to the number of the objects contained in each object group;
and S4, selecting a target object group from the object groups according to the first selection parameter and the second selection parameter, wherein the target object group is an object group of the associated information of the item provider to be pushed.
Alternatively, in this embodiment, the communication bus may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The memory may include RAM, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory. Alternatively, the memory may be at least one memory device located remotely from the processor.
As an example, as shown in fig. 5, the memory 503 may include, but is not limited to, a first obtaining module 401, a first determining module 402, a second determining module 403, and a first selecting module 404 of the object selecting apparatus. In addition, the device may further include, but is not limited to, other module units in the object selecting apparatus, which is not described in this example again.
The processor may be a general-purpose processor, and may include but is not limited to: a CPU (Central Processing Unit), an NP (Network Processor), and the like; but also a DSP (Digital Signal Processing), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
In addition, the electronic device further includes: and the display is used for displaying the selection result of the target object group.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
It can be understood by those skilled in the art that the structure shown in fig. 5 is only an illustration, and the device implementing the object selection method may be a terminal device, and the terminal device may be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 5 is a diagram illustrating a structure of the electronic device. For example, the terminal device may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 5, or have a different configuration than shown in FIG. 5.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.
According to still another aspect of an embodiment of the present application, there is also provided a storage medium. Alternatively, in this embodiment, the storage medium may be a program code for executing the object selection method.
Optionally, in this embodiment, the storage medium may be located on at least one of a plurality of network devices in a network shown in the above embodiment.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps:
s1, acquiring a plurality of object groups from a plurality of matching objects matched with target label combinations, wherein the target label combinations comprise a plurality of target labels corresponding to the item providers;
s2, determining a first selection parameter, wherein the first selection parameter is the proportion between the number of the objects contained in each object group in the plurality of object groups and the total number of the objects contained in the plurality of matched objects;
s3, determining a second selection parameter, wherein the second selection parameter is the proportion of the number of the objects which are in the association relationship with the item provider in each object group to the number of the objects contained in each object group;
and S4, selecting a target object group from the object groups according to the first selection parameter and the second selection parameter, wherein the target object group is an object group of the associated information of the item provider to be pushed.
Optionally, the specific example in this embodiment may refer to the example described in the above embodiment, which is not described again in this embodiment.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing program codes, such as a U disk, a ROM, a RAM, a removable hard disk, a magnetic disk, or an optical disk.
According to yet another aspect of an embodiment of the present application, there is also provided a computer program product or a computer program comprising computer instructions stored in a computer readable storage medium; the processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the steps of the object selection method in any of the embodiments described above.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing one or more computer devices (which may be personal computers, servers, network devices, or the like) to execute all or part of the steps of the object selecting method of the embodiments of the present application.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a division of a logic function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, and may also be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution provided in the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims (10)

1. An object selection method, comprising:
obtaining a plurality of object groups from a plurality of matching objects matched with a target label combination, wherein the target label combination comprises a plurality of target labels corresponding to an article provider;
determining a first selection parameter, wherein the first selection parameter is a ratio between the number of objects included in each object group in the plurality of object groups and the total number of objects included in the plurality of matching objects;
determining a second selection parameter, wherein the second selection parameter is a ratio of the number of objects in each object group, which have an association relationship with the item provider, to the number of objects included in each object group;
and selecting a target object group from the plurality of object groups according to the first selection parameter and the second selection parameter, wherein the target object group is an object group for pushing the associated information of the article provider.
2. The method of claim 1, wherein the selecting a target object group from the plurality of object groups according to the first selection parameter and the second selection parameter comprises:
acquiring a third selection parameter, wherein the third selection parameter is a proportion of the number of objects in the plurality of matching objects, which have an association relationship with the item provider, to the total number of objects included in the plurality of matching objects;
and selecting a target object group from the plurality of object groups according to the first selection parameter, the second selection parameter and the third selection parameter.
3. The method of claim 2, wherein the selecting a target object group from the plurality of object groups according to the first selection parameter, the second selection parameter, and the third selection parameter comprises:
determining a target coordinate point corresponding to each object group in a two-dimensional coordinate system, wherein the abscissa of the target coordinate point is the first selection parameter, and the ordinate of the target coordinate point is a value obtained by dividing the product of the first selection parameter and the second selection parameter by the third selection parameter;
determining an area of a region with the coordinate origin, the target coordinate point, a first coordinate point and a second coordinate point as vertexes, as a target selection parameter corresponding to each object group, wherein the first coordinate point is (1,1), and the second coordinate point is (1, 0);
and selecting the target object group from the plurality of object groups according to the target selection parameter.
4. The method of claim 3, wherein said selecting the target object group from the plurality of object groups according to the target selection parameter comprises:
and selecting the corresponding object group with the maximum target selection parameter from the plurality of object groups as the target object group.
5. The method of claim 1, wherein prior to said obtaining a plurality of object groups matching a target tag combination, the method further comprises:
acquiring a target updating period, wherein the target updating period is a period for updating the selected object group;
acquiring the plurality of object groups matched with the target label combination when the update time indicated by the target update period is reached.
6. The method of claim 1, wherein determining the second selected parameter comprises:
determining a number of objects in each of the object groups having an association with the item provider, wherein the objects having an association with the item provider include one of: the object which has exchanged resources with the item provider, the object which has performed collection operation on the item provider, and the object which has performed selection operation on the item provided by the item provider;
determining the number of objects contained in each object group;
determining a ratio of the number of objects in each object group having an association relationship with the item provider to the number of objects included in each object group as the second selection parameter.
7. The method according to any one of claims 1 to 6, wherein after said selecting a target object group from the plurality of object groups according to the first selected parameter and the second selected parameter, the method further comprises:
selecting target item information pushed for each target object in the target object group from a plurality of item information provided by the item provider;
and pushing the target article information to the client of each target object.
8. An object selection apparatus, characterized in that the apparatus comprises:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a plurality of object groups from a plurality of matched objects matched with a target label combination, and the target label combination comprises a plurality of target labels corresponding to an article provider;
a first determining module, configured to determine a first selection parameter, where the first selection parameter is a ratio between a number of objects included in each of the object groups in the multiple object groups and a total number of objects included in the multiple matching objects;
a second determining module, configured to determine a second selection parameter, where the second selection parameter is a ratio of the number of objects in each object group, which have an association relationship with the item provider, to the number of objects included in each object group;
and the first selection module is used for selecting a target object group from the plurality of object groups according to the first selection parameter and the second selection parameter, wherein the target object group is an object group of the associated information of the article provider to be pushed.
9. An electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein said processor, said communication interface and said memory communicate with each other via said communication bus,
the memory for storing a computer program;
the processor for performing the object selection method steps of any one of claims 1 to 7 by running the computer program stored on the memory.
10. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to carry out the object selection method steps of any one of claims 1 to 7 when executed.
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Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101398926A (en) * 2008-09-01 2009-04-01 腾讯科技（深圳）有限公司 Advertisement bidding and playing method and system based on directional delivery
CN101520878A (en) * 2009-04-03 2009-09-02 华为技术有限公司 Method, device and system for pushing advertisements to users
CN102075573A (en) * 2011-01-07 2011-05-25 北京邮电大学 Method and system for automatically recommending learning partner in distance education social network service (ESNS)
CN102724369A (en) * 2012-05-24 2012-10-10 华为软件技术有限公司 Method and device for popularizing ring-back tone
CN103544216A (en) * 2013-09-23 2014-01-29 Tcl集团股份有限公司 Information recommendation method and system combining image content and keywords
CN104090888A (en) * 2013-12-10 2014-10-08 深圳市腾讯计算机系统有限公司 Method and device for analyzing user behavior data
CN105023165A (en) * 2014-04-17 2015-11-04 腾讯科技（深圳）有限公司 Method, device and system for controlling release tasks in social networking platform
CN105260481A (en) * 2015-11-13 2016-01-20 合一网络技术(北京)有限公司 Evaluation method and system of push list diversity
CN106997347A (en) * 2016-01-22 2017-08-01 华为技术有限公司 Information recommendation method and server
CN107369069A (en) * 2017-07-07 2017-11-21 成都理工大学 A kind of Method of Commodity Recommendation based on triangle area computation schema
CN107577736A (en) * 2017-08-25 2018-01-12 上海斐讯数据通信技术有限公司 A kind of file recommendation method and system based on BP neural network
CN108632674A (en) * 2017-03-23 2018-10-09 华为技术有限公司 A kind of playback method and client of panoramic video
CN109598542A (en) * 2018-11-20 2019-04-09 阿里巴巴集团控股有限公司 A kind of put-on method, device and the electronic equipment of equity of marketing
CN111831894A (en) * 2019-04-23 2020-10-27 北京嘀嘀无限科技发展有限公司 Information matching method and device

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101398926A (en) * 2008-09-01 2009-04-01 腾讯科技（深圳）有限公司 Advertisement bidding and playing method and system based on directional delivery
CN101520878A (en) * 2009-04-03 2009-09-02 华为技术有限公司 Method, device and system for pushing advertisements to users
CN102075573A (en) * 2011-01-07 2011-05-25 北京邮电大学 Method and system for automatically recommending learning partner in distance education social network service (ESNS)
CN102724369A (en) * 2012-05-24 2012-10-10 华为软件技术有限公司 Method and device for popularizing ring-back tone
CN103544216A (en) * 2013-09-23 2014-01-29 Tcl集团股份有限公司 Information recommendation method and system combining image content and keywords
CN104090888A (en) * 2013-12-10 2014-10-08 深圳市腾讯计算机系统有限公司 Method and device for analyzing user behavior data
CN105023165A (en) * 2014-04-17 2015-11-04 腾讯科技（深圳）有限公司 Method, device and system for controlling release tasks in social networking platform
CN105260481A (en) * 2015-11-13 2016-01-20 合一网络技术(北京)有限公司 Evaluation method and system of push list diversity
CN106997347A (en) * 2016-01-22 2017-08-01 华为技术有限公司 Information recommendation method and server
CN108632674A (en) * 2017-03-23 2018-10-09 华为技术有限公司 A kind of playback method and client of panoramic video
CN107369069A (en) * 2017-07-07 2017-11-21 成都理工大学 A kind of Method of Commodity Recommendation based on triangle area computation schema
CN107577736A (en) * 2017-08-25 2018-01-12 上海斐讯数据通信技术有限公司 A kind of file recommendation method and system based on BP neural network
CN109598542A (en) * 2018-11-20 2019-04-09 阿里巴巴集团控股有限公司 A kind of put-on method, device and the electronic equipment of equity of marketing
CN111831894A (en) * 2019-04-23 2020-10-27 北京嘀嘀无限科技发展有限公司 Information matching method and device

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