CN117151790A - Resource release method and device, electronic equipment and storage medium - Google Patents

Resource release method and device, electronic equipment and storage medium Download PDF

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CN117151790A
CN117151790A CN202310922141.8A CN202310922141A CN117151790A CN 117151790 A CN117151790 A CN 117151790A CN 202310922141 A CN202310922141 A CN 202310922141A CN 117151790 A CN117151790 A CN 117151790A
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delivery
delivery channel
quality
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resource
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周亮
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Shanghai Zhongyuan Network Co ltd
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Shanghai Zhongyuan Network Co ltd
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    • 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
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    • G06Q30/0251—Targeted advertisements
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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
    • G06Q30/0277—Online advertisement

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Abstract

The application relates to a resource release method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring resource information of resources to be released; according to the resource information, determining matching parameters of the resources to be put in and a plurality of preset putting channels, wherein each putting channel is matched with the corresponding resource to be put in; according to the matching parameters, quality layering is carried out on the plurality of delivery channels, and quality layering models corresponding to the plurality of delivery channels are obtained; and putting the resources to be put according to the quality layering model. Therefore, accurate delivery of resources to be delivered can be realized while the delivery budget is saved, and the delivery effect is improved.

Description

Resource release method and device, electronic equipment and storage medium
Technical Field
The present application relates to the field of internet technologies, and in particular, to a method and apparatus for resource delivery, an electronic device, and a storage medium.
Background
The network advertisement is also called as internet advertisement, and refers to a high-tech advertisement operation mode which uses advertisement banners, text links, multimedia and other methods on websites to advertise or release advertisements on the internet and is transmitted to internet users through a network. Compared with traditional four-big propagation media (newspaper, magazine, television, broadcasting) advertisements and recent outdoor advertisements which are in the dark, the network advertisement has the unique advantage and is an important part of implementing modern marketing media strategy.
In the current advertisement putting strategies, putting channels are numerous, the structure is complex, for the same advertiser, the effect difference of putting advertisements on different putting channels is larger, and in order to better achieve the advertisement putting effect, the advertisements are generally required to be put in a plurality of putting channels, so that if the selected putting strategy is improper, the putting budget is increased, and the putting effect is poor.
Disclosure of Invention
The application provides a resource delivery method, a device, electronic equipment and a storage medium, which are used for solving the technical problems that in the prior art, in order to better achieve the advertisement delivery effect, advertisements are generally required to be delivered in a plurality of delivery channels, so that if a selected delivery strategy is improper, the delivery budget is increased, and the delivery effect is poor.
In a first aspect, the present application provides a resource delivery method, where the method includes:
acquiring resource information of resources to be released;
according to the resource information, determining matching parameters of the resources to be put in and a plurality of preset putting channels, wherein each putting channel is matched with the corresponding resource to be put in;
according to the matching parameters, quality layering is carried out on the plurality of delivery channels, and quality layering models corresponding to the plurality of delivery channels are obtained;
And putting the resources to be put according to the quality layering model.
As a possible implementation manner, the obtaining the resource information of the resource to be released includes:
acquiring attribute information of resources to be released, and acquiring historical release information of the resources to be released;
and determining the attribute information and the historical release information as resource information of the resources to be released.
As a possible implementation manner, the determining, according to the resource information, a matching parameter of the resource to be delivered and a preset plurality of delivery channels, where each of the delivery channels includes:
matching the attribute information with each of a plurality of preset delivery channels to obtain the matching degree between the resources to be delivered and each delivery channel;
determining the release benefits of the resources to be released in each release channel from the historical release information;
and determining the matching degree and the delivery benefits as the matching parameters of the resources to be delivered and each delivery channel.
As a possible implementation manner, the quality layering for the plurality of delivery channels according to the matching parameters, to obtain quality layering models corresponding to the plurality of delivery channels, includes:
Carrying out quality layering on a plurality of delivery channels according to the matching degree to obtain an initial quality layering model, wherein the matching degree corresponding to each delivery channel is positively correlated with the delivery channel quality layer of the delivery channel in the initial quality layering model;
and adjusting the quality layer of the delivery channel to which the delivery channel belongs according to the delivery income corresponding to each delivery channel to obtain a quality layering model.
As a possible implementation manner, the quality layering model includes a plurality of delivery channel quality layers, each of the delivery channel quality layers corresponds to a delivery policy, and the delivering the resources to be delivered according to the quality layering model includes:
determining a target delivery channel quality layer to which the delivery channel belongs in the quality layering model for each delivery channel;
determining a target delivery strategy corresponding to the target delivery channel quality layer;
and in the delivery channel, delivering the resources to be delivered according to the target delivery strategy.
As one possible implementation manner, the quality layering model includes an optimal delivery channel quality layer, a suboptimal delivery channel quality layer, an inferior delivery channel quality layer, and an unknown delivery channel quality layer, where in the delivery channel, delivering the resource to be delivered according to the target delivery policy includes:
Under the condition that the delivery channel belongs to the optimal delivery channel quality layer, delivering the resources to be delivered in the delivery channel according to a first preset delivery amount;
under the condition that the delivery channel belongs to the suboptimal delivery channel quality layer, delivering the resources to be delivered in the delivery channel according to preset stepped delivery volumes at preset time intervals, wherein each delivery volume in the preset stepped delivery volumes is smaller than the first preset delivery volume;
under the condition that the delivery channel belongs to the poor quality delivery channel quality layer, the resources to be delivered are forbidden to be delivered in the delivery channel;
under the condition that the delivery channel belongs to the unknown delivery channel quality layer, delivering the resources to be delivered in the delivery channel according to a second preset delivery quantity, wherein the second preset delivery quantity is smaller than the first preset delivery quantity.
As a possible implementation manner, after the delivering the resource to be delivered according to the quality layering model, the method further includes:
aiming at a delivery channel of a preset delivery channel quality layer, determining shallow delivery benefits and deep delivery benefits of the resources to be delivered in the delivery channel;
Determining whether the delivery channel meets preset adjustment conditions according to the shallow delivery benefits and the deep delivery benefits;
under the condition that the delivery channel meets the adjustment condition, adjusting a delivery channel quality layer to which the delivery channel belongs to obtain an adjusted quality layering model;
and putting the resources to be put according to the adjusted quality layering model.
As a possible implementation manner, the determining, for the delivery channel of the preset delivery channel quality layer, shallow delivery benefits and deep delivery benefits of the resources to be delivered in the delivery channel includes:
aiming at each delivery channel in the suboptimal delivery channel quality layer, shallow delivery benefits and deep delivery benefits of each delivery of the resources to be delivered are obtained;
under the condition that the delivery channel meets the adjustment condition, adjusting the delivery channel quality layer to which the delivery channel belongs, including:
determining whether the shallow delivery benefit and the deep delivery benefit of each delivery amount of the delivery channel corresponding to the delivery amount of the delivery channel meet a preset upgrading condition, and if so, adjusting the delivery channel quality layer to which the delivery channel belongs from the suboptimal delivery channel quality layer to the optimal delivery channel quality layer;
If the shallow delivery benefit and the deep delivery benefit of each delivery amount of the delivery channel corresponding to the next delivery amount do not meet the upgrading conditions, determining whether the shallow delivery benefit and the deep delivery benefit of each delivery amount of the delivery channel corresponding to the next delivery amount meet preset degrading conditions;
and if the shallow delivery benefit and the deep delivery benefit of each delivery amount of the delivery channel corresponding to the delivery amount meet the degradation condition, adjusting the delivery channel quality layer to which the delivery channel belongs from the suboptimal delivery channel quality layer to the inferior delivery channel quality layer.
As a possible implementation manner, the determining, for the delivery channel of the preset delivery channel quality layer, shallow delivery benefits and deep delivery benefits of the resources to be delivered in the delivery channel delivery includes:
aiming at each delivery channel in the unknown delivery channel quality layer, acquiring shallow delivery benefits of the resources to be delivered in the delivery channels at regular time or in real time;
under the condition that the shallow delivery benefits meet the preset benefit conditions, obtaining deep delivery benefits of the resources to be delivered in the delivery channel;
Under the condition that the delivery channel meets the adjustment condition, adjusting the delivery channel quality layer to which the delivery channel belongs, including:
determining a target delivery channel quality layer to which the delivery channel belongs according to the deep delivery benefits;
and adjusting the delivery channel quality layer to which the delivery channel belongs from the unknown delivery channel quality layer to the target delivery channel quality layer.
In a second aspect, an embodiment of the present application provides a resource delivery device, where the device includes:
the acquisition module is used for acquiring resource information of the resources to be released;
the determining module is used for determining the matching parameters of the resources to be put in and a plurality of preset putting channels according to the resource information;
the layering module is used for carrying out quality layering on the plurality of delivery channels according to the matching parameters to obtain quality layering models corresponding to the plurality of delivery channels;
and the release module is used for releasing the resources to be released according to the quality layering model.
In a third aspect, an embodiment of the present application provides an electronic device, including: the system comprises a processor and a memory, wherein the processor is used for executing a resource release program stored in the memory so as to realize the resource release method in any one of the first aspect.
In a fourth aspect, an embodiment of the present application provides a storage medium storing one or more programs executable by one or more processors to implement the resource allocation method of any one of the first aspects.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages: according to the technical scheme provided by the embodiment of the application, the resource information of the resource to be released is obtained, the matching parameters of the resource to be released and a plurality of preset releasing channels are determined according to the resource information, the quality layering is carried out on the plurality of releasing channels according to the matching parameters, the quality layering model corresponding to the plurality of releasing channels is obtained, and the resource to be released is released according to the quality layering model. According to the technical scheme, the to-be-released resources are matched with the release channels according to the resource information of the to-be-released resources, and the quality layering is carried out on the release channels according to the matching parameters, so that the quality grade of each release channel is divided, the to-be-released resources are released according to the quality grade of the release channel, and compared with the prior art that the to-be-released resources are released through the release channels randomly, the accurate release of the to-be-released resources can be carried out while the release budget is saved, and the release effect is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which the figures of the drawings are not to be taken in a limiting sense, unless otherwise indicated.
FIG. 1 is a flowchart of an embodiment of a resource delivery method according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a quality layering model according to an embodiment of the present application;
FIG. 3 is a flowchart of another embodiment of a method for delivering resources according to an embodiment of the present application;
Fig. 4 is a block diagram of an embodiment of a resource delivery device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The following disclosure provides many different embodiments, or examples, for implementing different structures of the application. In order to simplify the present disclosure, components and arrangements of specific examples are described below. They are, of course, merely examples and are not intended to limit the application. Furthermore, the present application may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed.
In order to solve the technical problems that in the prior art, in order to better achieve the advertising effect, advertisements are generally required to be placed in a plurality of placement channels, so that if a placement strategy is selected improperly, the placement budget is increased, and the placement effect is poor.
The resource delivery method provided by the application is further explained by a specific embodiment with reference to the accompanying drawings, and the embodiment does not limit the embodiment of the application.
Referring to fig. 1, a flowchart of an embodiment of a resource delivery method is provided in an embodiment of the present application. As shown in fig. 1, the process may include the steps of:
and 101, acquiring resource information of resources to be released.
The resources to be put refer to the resources to be put, which may be advertisements, works completed by users, and the like, and the resources to be put may include, but are not limited to: pictures, text, video, audio, etc.
The resource information refers to resource information related to the resource to be released, and may include, but is not limited to, attribute information of the resource to be released, historical release information of the resource to be released, and the like.
In an embodiment, the execution body of the embodiment of the present application may obtain the resource information of the resource to be released from a preset database.
In another embodiment, the execution body of the embodiment of the present application may acquire the resource information of the resource to be released through the visual interface in real time.
In an embodiment, the execution body of the embodiment of the present application may acquire attribute information of a resource to be released, and determine the attribute information as resource information of the resource to be released.
In another embodiment, the execution body of the embodiment of the present application may acquire historical release information of the resource to be released, and determine the historical release information as resource information of the resource to be released.
In yet another embodiment, the execution body of the embodiment of the present application may acquire attribute information of a resource to be released, and acquire historical release information of the resource to be released, and may determine the attribute information and the historical release information as resource information of the resource to be released.
Step 102, determining matching parameters of the resources to be released and a plurality of preset releasing channels according to the resource information.
The delivery channel refers to an application or a mode method and the like capable of being delivered with resources to be delivered, and in the application, the delivery channel can be an application program or a webpage and the like specific to advertisement delivery.
The above-mentioned matching parameter may be used as a specific reference value to indicate whether the resource to be released is suitable for being released in the release channel, which may include the matching degree between the resource to be released and the release channel, and may also include the release benefit of the resource to be released after being released in the release channel in the history release record, which is not limited in the embodiment of the present application.
In an embodiment, when the resource information of the resource to be released includes attribute information, the execution subject of the embodiment of the application may match the attribute information with each release channel of a plurality of preset release channels, so as to obtain a matching degree between the resource to be released and each release channel. And then, the matching degree can be determined as a matching parameter of the resource to be put and the putting channel.
In an exemplary embodiment, the matching degree may be a matching condition between the resources to be delivered and the delivery channel determined through a priori knowledge, for example, the matching degree of the game advertisement in the video APP (Application) is higher than the matching degree in the chat APP according to the priori knowledge.
In another embodiment, when the resource information of the resource to be released includes historical release information of the resource to be released, the execution subject of the embodiment of the present application may determine release benefits of the resource to be released in each release channel from the historical release information. And then, determining the release benefits as the matching parameters of the resources to be released and the release channels.
In still another embodiment, in order to enable the obtained matching parameters to more accurately represent whether the resource to be released is suitable for being released in the release channel, the execution subject of the embodiment of the application can comprehensively consider the matching degree and release income of the resource to be released and the release channel.
In an exemplary implementation manner, the execution body of the embodiment of the present application may match the attribute information with each of a plurality of preset delivery channels, so as to obtain a matching degree between the resource to be delivered and each of the delivery channels. And then, determining the delivery benefits of the resources to be delivered in each delivery channel from the historical delivery information, and determining the matching degree and the delivery benefits as the matching parameters of the resources to be delivered and each delivery channel.
And 103, carrying out quality layering on the plurality of delivery channels according to the matching parameters to obtain quality layering models corresponding to the plurality of delivery channels.
The quality layering refers to layering a plurality of delivery channels, and each layer corresponds to different quality indexes. Optionally, the larger the quality index is, the higher the corresponding delivery channel belongs to, and the more suitable for delivering resources to be delivered.
The quality layering model refers to a quality layering model obtained after quality layering is carried out on a plurality of delivery channels.
In the embodiment of the application, the quality layering can be carried out on a plurality of delivery channels according to the matching parameters, so that a quality layering model corresponding to the delivery channels is obtained.
As an optional implementation manner, the matching parameter may include a matching degree, and the execution subject of the embodiment of the present application may directly perform quality layering on a plurality of delivery channels according to the matching degree to obtain the quality layering model. Alternatively, the higher the matching degree of the delivery channel, the higher the quality layer of the delivery channel in the quality layering model.
As another optional implementation manner, the matching parameter may include a delivery benefit, and the execution subject of the embodiment of the present application may directly perform quality layering on a plurality of delivery channels according to the delivery benefit, to obtain the quality layering model. Optionally, the higher the delivery benefit, the higher the delivery channel quality layer to which the corresponding delivery channel belongs in the quality layering model.
As an optional implementation manner, the matching parameters may include matching degree and delivery benefits, and the execution subject of the embodiment of the application may perform quality layering on a plurality of delivery channels according to the matching degree to obtain an initial quality layering model. Optionally, the matching degree corresponding to each delivery channel is positively correlated with the quality layer of the delivery channel in the quality layering model, that is, the higher the matching degree, the higher the quality layer of the delivery channel in the quality layering model.
And then, according to the delivery income corresponding to each delivery channel, the quality layer of the delivery channel to which the delivery channel belongs can be adjusted, so that a quality layering model is obtained. The quality layering model comprehensively considers the matching degree and the delivery income, so that the quality layering model is more accurate for the quality layering of the delivery channel.
And 104, putting resources to be put according to the quality layering model.
In the embodiment of the application, the quality layering model has the advantages that the quality layering is carried out on the delivery channels, so that the effect of delivering the resources to be delivered in each delivery channel quality layering can be clearly shown, and the resources to be delivered can be delivered according to the quality layering model.
In one embodiment, the quality layering model may include a plurality of delivery channel quality layers, where each delivery channel quality layer may correspond to a delivery strategy.
Based on the above, when the execution main body of the embodiment of the application carries out the delivery of the resource to be delivered, the quality layer of the target delivery channel to which the delivery channel belongs in the quality layering model can be determined for each delivery channel.
And then, determining a target delivery strategy corresponding to the target delivery channel quality layer, and delivering the resources to be delivered in the delivery channel according to the target delivery strategy.
In an exemplary embodiment, the quality layering model may be referred to fig. 2, which is a schematic structural diagram of a quality layering model provided by an embodiment of the present application. As shown in fig. 2, the quality tier model may include an optimal delivery channel quality tier, a suboptimal delivery channel quality tier, a poor delivery channel quality tier, and an unknown delivery channel quality tier.
As the name implies, the delivery channel in the optimal delivery channel quality layer can be the delivery channel which is most suitable for delivering the resources to be delivered, so that the delivery strategy corresponding to the delivery channel quality layer can be not limited to the consumption of the delivery channel, the delivery quantity of the resources to be delivered can be continuously improved, and the delivery channel is fully utilized.
The delivery channel in the sub-optimal delivery channel quality layer may be a delivery channel that is more suitable for delivery, which is inferior to the delivery channel of the optimal delivery channel quality layer. Therefore, the delivery strategy corresponding to the sub-optimal delivery channel quality layer can be shallow delivery benefits and deep delivery benefits which are comprehensively delivered, the delivery quantity is tested in a stepwise manner, and balance is found between the delivery quantity and the delivery benefits or the optimal delivery channel or the inferior delivery channel is obtained.
The delivery channel in the quality layer of the inferior delivery channel can be an unsuitable delivery channel, and even after delivery, any delivery benefit can not be brought. Therefore, the delivery strategy corresponding to the inferior delivery channel quality layer can be to not deliver the resources to be delivered to the inferior delivery channel quality layer, namely, the delivery channel in the inferior delivery channel quality layer is shielded.
The delivery channel in the unknown delivery channel quality layer may be a delivery channel for which whether delivery is possible or not has not been determined at present, and may need further confirmation. Therefore, the delivery strategy corresponding to the quality layer of the unknown delivery channel can be to deliver a certain delivery amount to the quality layer of the unknown delivery channel, and further determine which layer of the quality layers of other delivery channels the delivery channel in the quality layer of the unknown delivery channel belongs to according to the delivery benefits in the later period.
In an exemplary embodiment, in the case that the delivery channel belongs to the optimal delivery channel quality layer, the resources to be delivered may be delivered in the delivery channel according to a first preset delivery amount, where the first preset delivery amount may be a larger value of the delivery amount, and may be a fixed value or may be increased in time.
In an exemplary embodiment, in the case that the delivery channel belongs to the sub-optimal delivery channel quality layer, the resources to be delivered in the delivery channel can be delivered according to preset stepped delivery volumes, every preset time period, wherein each of the preset stepped delivery volumes is smaller than the first preset delivery volume.
In an exemplary embodiment, in the case where the delivery channel belongs to a poor quality delivery channel quality layer, the delivery of the resources to be delivered in the delivery channel may be prohibited.
In an exemplary embodiment, in the case that the delivery channel belongs to an unknown delivery channel quality layer, the resources to be delivered may be delivered in the delivery channel according to a second preset delivery amount, where the second preset delivery amount is smaller than the first preset delivery amount.
According to the technical scheme provided by the embodiment of the application, the resource information of the resource to be released is obtained, the matching parameters of the resource to be released and a plurality of preset releasing channels are determined according to the resource information, the quality layering is carried out on the plurality of releasing channels according to the matching parameters, the quality layering model corresponding to the plurality of releasing channels is obtained, and the resource to be released is released according to the quality layering model. According to the technical scheme, the to-be-released resources are matched with the release channels according to the resource information of the to-be-released resources, and the quality layering is carried out on the release channels according to the matching parameters, so that the quality grade of each release channel is divided, the to-be-released resources are released according to the quality grade of the release channel, and compared with the prior art that the to-be-released resources are released through the release channels randomly, the accurate release of the to-be-released resources can be carried out while the release budget is saved, and the release effect is improved.
Referring to fig. 3, a flowchart of an embodiment of another resource delivery method is provided in an embodiment of the present application. The flow shown in fig. 3 further describes that the quality layering model can be adjusted after the resources to be put are put according to the quality layering model, based on the flow shown in fig. 1. As shown in fig. 3, the process may include the steps of:
step 301, determining shallow delivery benefits and deep delivery benefits of resources to be delivered in a delivery channel according to the delivery channel of a preset delivery channel quality layer.
The shallow delivery benefits may be preliminary benefits after the resources to be delivered are delivered in the delivery channel, such as the browsing amount of the user on the advertisement, the click rate, and the like.
The deep delivery benefit may be the final benefit after delivering the resource to be delivered in the delivery channel, for example, the product volume corresponding to the advertisement.
As can be seen from the flow description shown in fig. 1, after quality layering of a plurality of delivery channels, a quality layering model may be obtained, which may include a plurality of delivery channel quality layers.
In an exemplary embodiment, the quality tier model may include an optimal delivery channel quality tier, a suboptimal delivery channel quality tier, a poor delivery channel quality tier, and an unknown delivery channel quality tier. And the sub-optimal delivery channel quality layer and the delivery channels in the unknown delivery channel quality layer can further adjust the belonging delivery channel quality layer.
Based on this, in case the delivery channel belongs to a sub-optimal delivery channel quality layer or an unknown delivery channel quality layer, it is further necessary to determine whether it belongs to other delivery channel quality layers. Therefore, after the resources to be released are released according to the quality layering model, shallow release benefits and deep release benefits of the resources to be released in the release channels can be determined aiming at the release channels of the preset release channel quality layers.
Step 302, determining whether the delivery channel meets preset adjustment conditions according to shallow delivery benefits and deep delivery benefits.
And 303, adjusting the quality layer of the delivery channel to which the delivery channel belongs under the condition that the delivery channel meets the adjustment condition, so as to obtain an adjusted quality layering model.
Step 302 and step 303 are collectively described below:
the above adjustment condition may be a condition for satisfying the adjustment of the quality layer of the delivery channel, for example, when the delivery yield and the delivery amount of the delivery channel reach a preset ratio, the quality layer of the delivery channel to which the delivery channel belongs may be adjusted to an optimal quality layer of the delivery channel.
In the embodiment of the application, whether the delivery channel meets the preset adjustment condition can be determined according to the shallow delivery benefit and the deep delivery benefit, and if so, the quality layer of the delivery channel to which the delivery channel belongs can be adjusted to obtain an adjusted quality layering model.
In an exemplary embodiment, for each delivery channel in the sub-optimal delivery channel quality layer, as can be seen from the above description, the delivery channel may be configured to deliver the to-be-delivered resource in the delivery channel according to a preset ladder-type delivery amount, and at preset time intervals, so as to form a ladder-type delivery amount heuristic.
Based on the method, shallow delivery benefits and deep delivery benefits of resources to be delivered can be obtained. And then, determining whether the shallow delivery benefit and the deep delivery benefit of each delivery amount of the delivery channel and the corresponding delivery amount meet the preset upgrading conditions. The upgrade condition may refer to a condition for upgrading a quality layer of a delivery channel to which the delivery channel belongs, for example, the upgrade condition is satisfied when shallow delivery benefit and deep delivery benefit obtained by the delivery channel are higher than preset delivery benefit, or the upgrade condition is satisfied when a ratio of the shallow delivery benefit and the deep delivery benefit to a delivery amount is greater than a preset ratio threshold.
Optionally, if the shallow delivery benefit and the deep delivery benefit meet the upgrading conditions, adjusting the delivery channel quality layer to which the delivery channel belongs from the suboptimal delivery channel quality layer to an optimal delivery channel quality layer.
Conversely, if the shallow delivery benefit and the deep delivery benefit do not meet the upgrading conditions, whether the shallow delivery benefit and the deep delivery benefit of each delivery amount of the delivery channel and the corresponding delivery amount meet preset degradation conditions or not can be determined. The degradation condition may refer to a condition for degrading a quality layer of a delivery channel to which the delivery channel belongs, for example, the degradation condition is satisfied when shallow delivery benefit and deep delivery benefit obtained by the delivery channel are lower than preset delivery benefit, or the degradation condition is satisfied when a ratio of the shallow delivery benefit and deep delivery benefit to a delivery amount is smaller than a preset ratio threshold.
Optionally, if the shallow delivery benefit and the deep delivery benefit of each delivery amount of the delivery channel corresponding to the next delivery amount meet the degradation condition, the quality layer of the delivery channel to which the delivery channel belongs can be adjusted from the sub-optimal delivery channel quality layer to an inferior delivery channel quality layer.
In another exemplary embodiment, shallow delivery benefits of resources to be delivered in the delivery channels may be obtained at regular time or in real time for each delivery channel in an unknown delivery channel quality tier.
And then, under the condition that the shallow delivery benefits meet the preset benefit conditions, obtaining deep delivery benefits of the resources to be delivered in the delivery channel. The profit condition may be that the data amount in the shallow put profit reaches a preset data amount threshold.
And then, if the deep delivery benefit meets the preset adjustment condition, determining a target delivery channel quality layer to which the delivery channel belongs according to the deep delivery benefit, and adjusting the delivery channel quality layer to which the delivery channel belongs to the target delivery channel quality layer.
In an exemplary embodiment, when it is determined that the deep delivery benefit of the delivery channel meets the deep delivery benefit criteria of the optimal delivery channel quality tier, the delivery channel quality tier to which the delivery channel belongs may be adjusted to the optimal delivery channel quality tier.
In another exemplary embodiment, when it is determined that the deep delivery revenue of the delivery channel meets the deep delivery revenue criteria of the sub-optimal delivery channel quality tier, the delivery channel quality tier to which the delivery channel belongs may be adjusted to the sub-optimal delivery channel quality tier.
In yet another exemplary embodiment, when it is determined that the deep delivery benefit of the delivery channel meets the deep delivery benefit criteria of the poor quality delivery channel quality tier, the quality tier of the delivery channel to which the delivery channel belongs may be adjusted to the poor quality delivery channel quality tier.
And 304, putting resources to be put according to the adjusted quality layering model.
In the embodiment of the application, after the quality layering model is adjusted, the resources to be put in can be put in according to the adjusted quality layering model, and through the continuous adjustment, the quality layering model can be used as a control module for budgeting the consumption of the resources to be put in, and the putting quantity of the client in different putting channels can be dynamically controlled on line according to the putting effect of the client in the different putting channels, so that an on-line closed loop is formed, and double harvest of income and effect is realized.
According to the technical scheme provided by the embodiment of the application, shallow delivery benefits and deep delivery benefits of resources to be delivered in the delivery channel are determined according to the delivery benefits and the deep delivery benefits of the preset delivery channel quality layers, whether the delivery channel meets preset adjustment conditions is determined, the quality layer of the delivery channel to which the delivery channel belongs is adjusted under the condition that the delivery channel meets the adjustment conditions is determined, an adjusted quality layering model is obtained, the resources to be delivered are delivered according to the adjusted quality layering model, and after the resources to be delivered are delivered according to the quality layering model, the quality layering model is dynamically adjusted according to the delivery benefits, so that on-line closed loops are formed, double income of customers and effects are dynamically controlled, and accordingly accurate delivery of the resources to be delivered is realized, and the delivery effect is improved.
Referring to fig. 4, a block diagram of an embodiment of a resource delivery device according to an embodiment of the present application is provided. As shown in fig. 4, the apparatus may include:
an obtaining module 41, configured to obtain resource information of a resource to be released;
the determining module 42 is configured to determine, according to the resource information, a matching parameter of the resource to be delivered and a preset plurality of delivery channels, where each of the delivery channels is a matching parameter;
the layering module 43 is configured to perform quality layering on the multiple delivery channels according to the matching parameters, so as to obtain quality layering models corresponding to the multiple delivery channels;
and the release module 44 is configured to release the resource to be released according to the quality layering model.
As shown in fig. 5, a schematic structural diagram of an electronic device according to an embodiment of the present application includes a processor 111, a communication interface 112, a memory 113 and a communication bus 114, where the processor 111, the communication interface 112, and the memory 113 communicate with each other through the communication bus 114,
a memory 113 for storing a computer program;
in one embodiment of the present application, the processor 111 is configured to implement the resource allocation method provided in any one of the foregoing method embodiments when executing the program stored in the memory 113, where the resource allocation method includes:
Acquiring resource information of resources to be released;
according to the resource information, determining matching parameters of the resources to be put in and a plurality of preset putting channels, wherein each putting channel is matched with the corresponding resource to be put in;
according to the matching parameters, quality layering is carried out on the plurality of delivery channels, and quality layering models corresponding to the plurality of delivery channels are obtained;
and putting the resources to be put according to the quality layering model.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, implements the steps of the resource allocation method provided in any one of the method embodiments described above.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
From the above description of embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus a general purpose hardware platform, or may be implemented by hardware. Based on such understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the related art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the method described in the respective embodiments or some parts of the embodiments.
It is to be understood that the terminology used herein is for the purpose of describing particular example embodiments only, and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises," "comprising," "includes," "including," and "having" are inclusive and therefore specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order described or illustrated, unless an order of performance is explicitly stated. It should also be appreciated that additional or alternative steps may be used.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (12)

1. A method of resource delivery, the method comprising:
acquiring resource information of resources to be released;
according to the resource information, determining matching parameters of the resources to be put in and a plurality of preset putting channels, wherein each putting channel is matched with the corresponding resource to be put in;
according to the matching parameters, quality layering is carried out on the plurality of delivery channels, and quality layering models corresponding to the plurality of delivery channels are obtained;
and putting the resources to be put according to the quality layering model.
2. The method of claim 1, wherein the obtaining resource information of the resource to be released comprises:
acquiring attribute information of resources to be released, and acquiring historical release information of the resources to be released;
and determining the attribute information and the historical release information as resource information of the resources to be released.
3. The method according to claim 2, wherein determining, according to the resource information, a matching parameter of the resource to be launched and a preset plurality of launching channels, where each launching channel includes:
matching the attribute information with each of a plurality of preset delivery channels to obtain the matching degree between the resources to be delivered and each delivery channel;
Determining the release benefits of the resources to be released in each release channel from the historical release information;
and determining the matching degree and the delivery benefits as the matching parameters of the resources to be delivered and each delivery channel.
4. The method of claim 3, wherein the quality layering of the plurality of delivery channels according to the matching parameters to obtain quality layering models corresponding to the plurality of delivery channels comprises:
carrying out quality layering on a plurality of delivery channels according to the matching degree to obtain an initial quality layering model, wherein the matching degree corresponding to each delivery channel is positively correlated with the delivery channel quality layer of the delivery channel in the initial quality layering model;
and adjusting the quality layer of the delivery channel to which the delivery channel belongs according to the delivery income corresponding to each delivery channel to obtain a quality layering model.
5. The method of claim 1, wherein the quality tier model includes a plurality of delivery channel quality tiers, each of the delivery channel quality tiers corresponding to a delivery policy, and wherein delivering the resource to be delivered according to the quality tier model includes:
Determining a target delivery channel quality layer to which the delivery channel belongs in the quality layering model for each delivery channel;
determining a target delivery strategy corresponding to the target delivery channel quality layer;
and in the delivery channel, delivering the resources to be delivered according to the target delivery strategy.
6. The method of claim 5, wherein the quality tier model comprises an optimal delivery channel quality tier, a sub-optimal delivery channel quality tier, a poor quality delivery channel quality tier, and an unknown delivery channel quality tier, wherein in the delivery channel, delivering the resource to be delivered according to the target delivery policy comprises:
under the condition that the delivery channel belongs to the optimal delivery channel quality layer, delivering the resources to be delivered in the delivery channel according to a first preset delivery amount;
under the condition that the delivery channel belongs to the suboptimal delivery channel quality layer, delivering the resources to be delivered in the delivery channel according to preset stepped delivery volumes at preset time intervals, wherein each delivery volume in the preset stepped delivery volumes is smaller than the first preset delivery volume;
Under the condition that the delivery channel belongs to the poor quality delivery channel quality layer, the resources to be delivered are forbidden to be delivered in the delivery channel;
under the condition that the delivery channel belongs to the unknown delivery channel quality layer, delivering the resources to be delivered in the delivery channel according to a second preset delivery quantity, wherein the second preset delivery quantity is smaller than the first preset delivery quantity.
7. The method of claim 6, further comprising, after said delivering said resource to be delivered in accordance with said quality tier model:
aiming at a delivery channel of a preset delivery channel quality layer, determining shallow delivery benefits and deep delivery benefits of the resources to be delivered in the delivery channel;
determining whether the delivery channel meets preset adjustment conditions according to the shallow delivery benefits and the deep delivery benefits;
under the condition that the delivery channel meets the adjustment condition, adjusting a delivery channel quality layer to which the delivery channel belongs to obtain an adjusted quality layering model;
and putting the resources to be put according to the adjusted quality layering model.
8. The method of claim 7, wherein the determining shallow and deep delivery benefits of the resource to be delivered in the delivery channel for the delivery channel of the preset delivery channel quality layer comprises:
aiming at each delivery channel in the suboptimal delivery channel quality layer, shallow delivery benefits and deep delivery benefits of each delivery of the resources to be delivered are obtained;
under the condition that the delivery channel meets the adjustment condition, adjusting the delivery channel quality layer to which the delivery channel belongs, including:
determining whether the shallow delivery benefit and the deep delivery benefit of each delivery amount of the delivery channel corresponding to the delivery amount of the delivery channel meet a preset upgrading condition, and if so, adjusting the delivery channel quality layer to which the delivery channel belongs from the suboptimal delivery channel quality layer to the optimal delivery channel quality layer;
if the shallow delivery benefit and the deep delivery benefit of each delivery amount of the delivery channel corresponding to the next delivery amount do not meet the upgrading conditions, determining whether the shallow delivery benefit and the deep delivery benefit of each delivery amount of the delivery channel corresponding to the next delivery amount meet preset degrading conditions;
And if the shallow delivery benefit and the deep delivery benefit of each delivery amount of the delivery channel corresponding to the delivery amount meet the degradation condition, adjusting the delivery channel quality layer to which the delivery channel belongs from the suboptimal delivery channel quality layer to the inferior delivery channel quality layer.
9. The method of claim 7, wherein the determining shallow and deep delivery benefits of the resource to be delivered in the delivery channel for the delivery channel of the preset delivery channel quality layer comprises:
aiming at each delivery channel in the unknown delivery channel quality layer, acquiring shallow delivery benefits of the resources to be delivered in the delivery channels at regular time or in real time;
under the condition that the shallow delivery benefits meet the preset benefit conditions, obtaining deep delivery benefits of the resources to be delivered in the delivery channel;
under the condition that the delivery channel meets the adjustment condition, adjusting the delivery channel quality layer to which the delivery channel belongs, including:
determining a target delivery channel quality layer to which the delivery channel belongs according to the deep delivery benefits;
And adjusting the delivery channel quality layer to which the delivery channel belongs from the unknown delivery channel quality layer to the target delivery channel quality layer.
10. A resource delivery device, the device comprising:
the acquisition module is used for acquiring resource information of the resources to be released;
the determining module is used for determining the matching parameters of the resources to be put in and a plurality of preset putting channels according to the resource information;
the layering module is used for carrying out quality layering on the plurality of delivery channels according to the matching parameters to obtain quality layering models corresponding to the plurality of delivery channels;
and the release module is used for releasing the resources to be released according to the quality layering model.
11. An electronic device, comprising: a processor and a memory, the processor being configured to execute a resource delivery program stored in the memory, to implement the resource delivery method of any one of claims 1 to 9.
12. A storage medium storing one or more programs executable by one or more processors to implement the resource delivery method of any of claims 1-9.
CN202310922141.8A 2023-07-25 2023-07-25 Resource release method and device, electronic equipment and storage medium Pending CN117151790A (en)

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Application Number Priority Date Filing Date Title
CN202310922141.8A CN117151790A (en) 2023-07-25 2023-07-25 Resource release method and device, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310922141.8A CN117151790A (en) 2023-07-25 2023-07-25 Resource release method and device, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
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