CN111861592B

CN111861592B - Method, device and equipment for processing activity information

Info

Publication number: CN111861592B
Application number: CN202011014398.6A
Authority: CN
Inventors: 尚飞
Original assignee: Zhejiang Koubei Network Technology Co Ltd
Current assignee: Zhejiang Koubei Network Technology Co Ltd
Priority date: 2020-09-24
Filing date: 2020-09-24
Publication date: 2021-05-11
Anticipated expiration: 2040-09-24
Also published as: CN111861592A

Abstract

The application discloses a method, a device and equipment for processing activity information, relates to the technical field of information processing, and can accurately control activity resources without configuring the activity information by a server side, thereby improving the recommendation effect of the activity information. The method comprises the following steps: acquiring first activity data generated by the service party release activity information; selecting an activity information template suitable for the delivery of the service party based on the first activity data for pushing; acquiring second activity data generated by the server side updating the activity information template; determining a verification result of an activity information template based on the first activity data and the second activity data; and sending the verification result of the activity information template.

Description

Method, device and equipment for processing activity information

Technical Field

The present application relates to the field of information processing technologies, and in particular, to a method, an apparatus, and a device for processing activity information.

Background

With the development of internet technology, many websites can face users to perform various activities, for example, in the e-commerce field, a service party can perform a promotion-type activity, in the news media field, a service party can perform a special publicity and report activity, and so on.

Currently, a service party provides corresponding activity resources for a developed activity so as to attract a user to obtain an activity service under the activity, and generally, the service party delivers the activity service provided by a certain activity, and periodically counts the activity resources generated by the activity service, and then determines whether an expected activity effect is achieved according to the activity resources.

However, since the activity information configured by the service provider has a certain subjectivity, the activity information does not have flexibility, and it is difficult to accurately control the activity resources, so that the activity information can achieve the expected delivery effect, or even if the expected effect is achieved, the excess activity resources can be consumed.

Disclosure of Invention

In view of this, the present application provides a method, an apparatus, and a device for processing activity information, and mainly aims to solve the problem that activity information is difficult to achieve an expected delivery effect in the prior art.

According to a first aspect of the present application, there is provided a method for processing activity information, which is applicable to a service side, the method including:

acquiring first activity data generated by the service party release activity information;

selecting an activity information template suitable for the delivery of the service party based on the first activity data for pushing;

acquiring second activity data generated by the server side updating the activity information template;

determining a verification result of an activity information template based on the first activity data and the second activity data;

and sending the verification result of the activity information template.

In another embodiment of the present application, the selecting, based on the first activity data, an activity information template suitable for delivery by a service provider to push specifically includes:

acquiring an activity information template which is pre-cleaned to be associated with preferable activity data, wherein the preferable activity data is the activity data which is formed by a service party aiming at an activity index and reaches an expected value;

receiving a recommendation instruction of activity information based on the analysis result of the first activity data, and calculating a numerical interval reached by activity data formed aiming at a preset activity index under the constraint of a target activity resource according to the target activity resource carried by the recommendation instruction;

and selecting the activity information template associated with the preferred activity data reaching the numerical value interval from the activity information templates, and pushing the activity information template as an activity information template suitable for the delivery of the service party.

In another embodiment of the present application, the obtaining of the activity information template with pre-cleaned associated preferred activity data specifically includes:

acquiring third activity data formed by the server delivery historical activity information aiming at the activity index;

and if the third activity data formed aiming at the activity index reaches the expected value, taking the third activity data as the preferred activity data, and selecting the activity information related to the preferred activity data as the activity information template.

In another embodiment of the present application, the counting third activity data formed by the historical activity information with respect to the activity index specifically includes:

periodically collecting resource data generated for historical activity information;

and counting the resource data according to the activity indexes by using the resource data collected in stages to obtain third activity data formed by aiming at the activity indexes.

In another embodiment of the present application, the calculating, according to the target activity resource carried by the recommendation instruction, a numerical interval reached by activity data formed for a preset activity index under the constraint of the target activity resource specifically includes:

counting a first numerical value reached by a service party according to first activity data formed by a preset activity index;

calculating a second numerical value which is expected to be reached by activity data formed aiming at a preset activity index under the constraint of the target activity resource according to the target activity resource carried by the recommendation instruction;

and determining a value interval reached by activity data formed aiming at a preset activity index according to the second value and the first value.

In another embodiment of the present application, the recommendation instruction further includes a target expected value reached by activity data formed by a preset activity index, and the selecting an activity information template associated with preferred activity data reaching a numerical interval from the activity information templates, and pushing the activity information template as an activity information template suitable for delivery by a service provider specifically includes:

judging whether the target expected value is in the numerical value interval or not;

if so, selecting an activity information template associated with the preferred activity data reaching the numerical value interval from the activity information templates for pushing;

and if not, sorting the activity information templates of the preferred activity data associated with the value interval according to the value in the value interval from large to small, selecting the activity information templates with the sorting values before the preset value, and pushing the activity information templates which are suitable for being released by the service party.

In another embodiment of the present application, the obtaining service side updates second activity data generated by an activity information template; the method specifically comprises the following steps:

responding to an activity creating instruction, and issuing activity information of a service party according to the activity information template, wherein the activity information simultaneously supports at least one agent party passing verification;

and verifying the at least one agent party by using the exclusive identification extracted from the activity information, identifying the activity participants according to the verification result, and acquiring second activity data generated by the service party updating the activity information template.

In another embodiment of the present application, the determining a verification result of the activity information template based on the first activity data and the second activity data specifically includes:

counting a third numerical value reached by a server according to second activity data formed by the preset activity indexes;

and forming comparison information by using the third numerical value and the numerical value interval to obtain a verification result of the activity information template.

According to a second aspect of the present application, there is provided a method for processing activity information, which is applicable to a client side, the method including:

responding to the activity issuing request, and generating and sending a recommendation instruction of the activity information, wherein the recommendation instruction carries a target activity resource;

and receiving an activity information template, and creating an activity based on the activity information template.

In another embodiment of the present application, after the receiving an activity information template and publishing an activity based on the activity information template, the method further comprises:

receiving a verification result of the activity template information, wherein the verification result carries comparison information formed by the second activity data and the first activity data;

and adjusting the activity parameters in the activity information template according to the comparison information.

According to a third aspect of the present application, an apparatus for processing activity information, applicable to a service side, includes:

the server comprises a first acquisition unit, a second acquisition unit and a processing unit, wherein the first acquisition unit is used for acquiring first activity data generated by the activity information released by the server;

the selection unit is used for selecting an activity information template suitable for the delivery of the service party based on the first activity data to carry out pushing;

the second acquisition unit is used for acquiring second activity data generated by the server side updating the activity information template;

a determination unit configured to determine a verification result of an activity information template based on the first activity data and the second activity data;

and the sending unit is used for sending the verification result of the activity information template.

In another embodiment of the present application, the selecting unit includes:

the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring an activity information template which is pre-cleaned to be associated with preferable activity data, and the preferable activity data is the activity data which is formed by a service party aiming at an activity index and reaches an expected value;

the calculation module is used for receiving a recommendation instruction of activity information based on the analysis result of the first activity data, and calculating a numerical interval reached by activity data formed aiming at a preset activity index under the constraint of a target activity resource according to the target activity resource carried by the recommendation instruction;

and the selection module is used for selecting the activity information template which is associated with the preferred activity data reaching the numerical value interval from the activity information templates and pushing the activity information template as the activity information template suitable for the delivery of the service party.

In another embodiment of the present application, the obtaining module includes:

the obtaining submodule is used for obtaining third activity data formed by the historical activity information released by the server aiming at the activity indexes;

and the association submodule is used for taking the third activity data as the preferred activity data and selecting the activity information associated with the preferred activity data as the activity information template if the third activity data formed aiming at the activity indexes reaches the expected value.

In another embodiment of the present application, the obtaining sub-module is specifically configured to collect resource data generated for the historical activity information in a staged manner;

the obtaining submodule is specifically further configured to utilize the resource data collected in the stage to perform statistics on the resource data according to the activity index, so as to obtain third activity data formed by aiming at the activity index.

In another embodiment of the present application, the calculation module includes:

the statistic submodule is used for counting a first numerical value reached by activity data formed by the server aiming at a preset activity index;

the calculation submodule is used for calculating a second numerical value which is expected to be reached by activity data formed aiming at a preset activity index under the constraint of the target activity resource according to the target activity resource carried by the recommendation instruction;

and the determining submodule is used for determining a value interval reached by activity data formed aiming at a preset activity index according to the second value and the first value.

In another embodiment of the present application, the recommendation instruction further includes a target expected value reached by activity data formed for a preset activity index, and the selecting module includes:

the judgment submodule is used for judging whether the target expected value is in the numerical value interval or not;

the selecting submodule is used for selecting the activity information template which is associated with the preferred activity data reaching the numerical value interval from the activity information templates to push if the activity information template is the preferred activity data reaching the numerical value interval;

and the selecting submodule is also used for sorting the activity information templates related to the preferred activity data reaching the numerical range according to the numerical value in the numerical range from large to small if the activity information templates are not the same as the activity information templates related to the preferred activity data reaching the numerical range, and selecting the activity information templates with the sorting values before the preset numerical value as the activity information templates suitable for being released by the service party to push.

In another embodiment of the present application, the second obtaining unit includes:

the issuing module is used for responding to the activity creating instruction and issuing the activity information of the service party according to the activity information template, and the activity information simultaneously supports at least one agent party passing the verification;

and the verification module is used for verifying the at least one agent party by using the exclusive identification extracted from the activity information, identifying the activity participant according to the verification result and acquiring second activity data generated by the service party updating the activity information template.

In another embodiment of the present application, the determining unit includes:

the statistical module is used for counting a third numerical value reached by second activity data formed by the server according to the preset activity index;

and the generating module is used for forming comparison information by the third numerical value and the numerical value interval to obtain a verification result of the activity information template.

According to a fourth aspect of the present application, an activity information processing apparatus, applicable to a client side, includes:

the generating unit is used for responding to the activity issuing request, generating and sending a recommending instruction of the activity information, wherein the recommending instruction carries the target activity resource;

and the creating unit is used for receiving the activity information template and creating the activity based on the activity information template.

In another embodiment of the present application, the apparatus further comprises:

a receiving unit, configured to receive a verification result of the activity template information after the activity information template is received and an activity is issued based on the activity information template, where the verification result carries comparison information formed by the second activity data and the first activity data;

and the adjusting unit is used for adjusting the activity parameters in the activity information template according to the comparison information.

According to a fifth aspect of the present application, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described processing method of activity information.

According to a sixth aspect of the present application, a server device and a client device are provided, which include a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, and when the processor executes the program, the processor implements the processing method of the activity information.

According to a seventh aspect of the present application, a system for processing activity information is provided, which includes the server device and the client device.

By means of the technical scheme, compared with the existing mode that a service party selects an activity service to release the activity service by itself, the method, the device and the equipment for processing the activity information provided by the application have the advantages that first activity data generated by releasing the activity information by the service party are obtained, the activity information template suitable for releasing by the service party is selected and pushed based on the first activity data, the activity information template is associated with preferred activity data, the preferred activity data are activity data which are formed by the service party aiming at activity indexes and reach expected values, an expected releasing effect can be achieved, and second activity data generated by updating the activity information template by the service party are further obtained; the verification result of the activity information template is determined based on the first activity data and the second activity data to verify whether the activity data formed by the preset activity indexes meet expectations or not, the activity service does not need to be configured by a service party in the whole activity information processing process, the activity template information can be intelligently pushed to the service party according to the analysis result of the activity information to achieve accurate recommendation of the activity information, the generated activity data is verified after the activity template information is released, the parameters of the activity information are adjusted according to the verification result, and the activity template information achieves the expected release effect.

The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

fig. 1 is a schematic flowchart illustrating a method for processing activity information according to an embodiment of the present application;

fig. 2 is a schematic flowchart illustrating another activity information processing method provided by an embodiment of the present application;

fig. 3 is a flowchart illustrating another activity information processing method provided by an embodiment of the present application;

fig. 4 is a flowchart illustrating another activity information processing method provided by an embodiment of the present application;

fig. 5 is a flowchart of a method for processing activity information according to an embodiment of the present application;

fig. 6 is a flowchart of another activity information processing method provided in an embodiment of the present application;

fig. 7 is a schematic structural diagram illustrating an apparatus for processing activity information according to an embodiment of the present application;

fig. 8 is a schematic structural diagram illustrating another activity information processing apparatus provided in an embodiment of the present application;

fig. 9 is a schematic structural diagram illustrating another activity information processing apparatus provided in an embodiment of the present application;

fig. 10 is a schematic structural diagram illustrating another activity information processing apparatus provided in an embodiment of the present application.

Detailed Description

The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.

In general, when a service provider puts in an activity service, whether activity information is suitable for an activity index is not considered, but the numerical value of the activity index is expected to be improved subjectively, so that the effect of the activity information is easily not expected, or excessive activity resources are consumed when the activity information is expected, and the activity information is difficult to realize accurate pushing.

In order to solve the problem, the present embodiment provides a method for processing activity information, as shown in fig. 1, including the following steps:

101. and acquiring first activity data generated by the service delivery activity information.

The activity is an abstract description of a data set, and different forms can be set in different service fields. For example, in an event of sales promotion by a new customer, the new customer purchases 200-dollar commodities of a specified brand of 100 at a certain shop, and may give a 20-dollar discount, or in an event of rewarding an old customer, a 5-dollar commodity voucher is sent to the old customer.

In general, the purpose of delivering the activity information by the service side is to increase the value of the activity data formed by each activity index so as to achieve the expected effect of activity publishing. The activity information refers to information published around an activity, after the first activity data is activity information released by a service party, an activity participant enters the activity through the activity information and triggers data generated by corresponding activity behaviors, such as browsing activity, getting activity, using activity and the like, and the activity index is an index configured by the service party for measuring service conditions, such as a bargain amount, customer permeability, a return rate and the like.

The execution main body of the embodiment can be a processing device or equipment of activity information, and can be configured at the server, the server can periodically issue activities through the activity information configured by the server, collect activity data aiming at the activity index, and calculate the value reached by the activity data, so as to monitor the effect reached by the activities, know the directivity of the activity information to the activity index, and evaluate whether the activity information is effective and the effect reached.

102. And selecting an activity information template suitable for the delivery of the service party based on the first activity data for pushing.

It can be understood that the value of the activity data formed by the existing activity indexes may not be as expected, and the purpose of publishing the activity is generally to increase the value of the activity index, for example, increase the rate of return, increase the amount of bargain, and so on, so that accurately configuring the activity information can increase the value of the activity index to some extent to achieve the expected effect of the activity. However, in a specific implementation, a service side does not know the pertinence of the activity index, and it is difficult to deliver appropriate activity information for the activity index, so that the activity information cannot be pushed accurately.

In the embodiment of the present invention, an activity information template applicable to delivery by a service provider may be selected by analyzing first activity data and according to an analysis result, where the analysis result of the first activity data may include a situation where activity data formed for each activity index reaches a value distribution, a situation where each activity index is expected to increase a value, and further, for an activity index that can increase a value, an activity information template applicable to delivery by a service provider is selected, where the activity information template is activity information that is deposited by using historical activity information and is associated with preferred activity data, where the preferred activity data is data that is excellent in activity index in the activity data, that is, activity data that is formed by a service provider for an activity index and reaches a desired value, for example, activity data that reaches 5% is formed for a return rate. Of course, some reasons for the excellence of the activity data are shown in the activity information, and some reasons are now the constraint of the activity resources, and generally, the more the activity resources are, the higher the expected value of the activity data formed by the preset activity index is set, for example, the expected value reached by the activity data is set to 2% for 1 ten thousand yuan, and the expected value reached by the activity data is set to 5% for 10 ten thousand yuan.

103. And acquiring second activity data generated by the server side updating the activity information template.

The second activity data is similar to the first activity data, after the activity information is updated for the service party, the activity information enters the activity after the activity participating party is updated, and data generated by the corresponding activity behavior is triggered, and the process of specifically acquiring the second activity data is the same as that in step 101, and is not repeated here.

104. A verification result of the activity information template is determined based on the first activity data and the second activity data.

After the activity information template is updated by the service side, the activity data formed for each activity index changes with the change of the activity information, and is usually improved. Further, in order to determine whether the activity information template achieves the expected effect or how much the activity index is increased, the activity information template information may be verified by comparing the second activity data generated by updating the activity information template with the first activity data to obtain a verification result of the activity information template.

105. And sending the verification result of the activity information template.

Wherein, the verification result carries the comparison information formed by the second activity data and the first activity data, the comparison information can reflect whether the activity data formed by each activity index reaches the expected value, if the comparison information in the verification result indicates that the activity data formed by each activity index reaches the expected value, the activity generates better effect, the service side determines whether to continue executing the activity information template, if the comparison information in the verification result indicates that the activity data formed by the individual activity index does not reach the expected value, the individual index in the activity needs to be further promoted, the activity data formed by the individual index can be analyzed, and an adjustment scheme is proposed, the service side determines whether to adjust the activity information template or continue executing the activity information template, of course, if the activity index has no room to be promoted after analysis, if no suitable adjustment is proposed, the server may decide whether to continue executing the campaign information template.

Compared with the existing mode that a service party selects an activity service for delivery, the method for processing the activity information provided by the embodiment of the application selects an activity information template suitable for delivery by the service party to be pushed based on first activity data by acquiring the first activity data generated by the delivery of the activity information by the service party, the activity information template is associated with preferred activity data, the preferred activity data is the activity data which is formed by the service party aiming at an activity index and reaches a desired value, an expected delivery effect can be achieved, and second activity data generated by the update of the activity information template by the service party is further acquired; the verification result of the activity information template is determined based on the first activity data and the second activity data to verify whether the activity data formed by the preset activity indexes meet expectations or not, the activity service does not need to be configured by a service party in the whole activity information processing process, the activity template information can be intelligently pushed to the service party according to the analysis result of the activity information to achieve accurate recommendation of the activity information, the generated activity data is verified after the activity template information is released, the parameters of the activity information are adjusted according to the verification result, and the activity template information achieves the expected release effect.

Further, as a refinement and an extension of the specific implementation of the foregoing embodiment, in order to fully describe the specific implementation process of the present embodiment, a process of selecting an activity information template suitable for delivery by a service provider based on first activity data for pushing is provided in the present embodiment, and as shown in fig. 2, the method includes:

201. and acquiring an activity information template which is washed out in advance to be associated with the preferred activity data.

In this embodiment, an activity information template associated with preferred activity data may be cleaned by using a data model, a model maintenance system (i.e., a management platform) for analyzing metadata, a maintenance system (i.e., an activity presentation platform) for service data, and a computing system (i.e., an activity computing platform) for service data are set up based on configuration of an activity index, and configuration, presentation, and service processing of activity information are separated in a metadata abstraction manner. The management platform can configure corresponding activity information for the activity according to the provided function options, the activity display platform can realize different display and service processing according to the different configuration of the activity information, and the activity computing platform can compute the value reached by the activity data formed by each activity index activity so as to evaluate the activity.

Preferably, the activity data is a part of the activity data that is excellent in the activity index, that is, the activity data that is formed by the service side for the activity index reaches a desired value, for example, the activity data that reaches 5% for the return rate. Of course, some reasons for the excellence of the activity data are shown in the activity information, and some reasons are now the constraint of the activity resources, and generally, the more the activity resources are, the higher the expected value of the activity data formed by the preset activity index is set, for example, the expected value reached by the activity data is set to 2% for 1 ten thousand yuan, and the expected value reached by the activity data is set to 5% for 10 ten thousand yuan.

Specifically, all metadata can be managed based on a management platform, and the expected values of activity indexes under the constraints of different activity resources are configured on the basis according to service scenarios, where the activity resources may include continuous types and discrete types, in one example, for a continuous activity resource, a continuous data model may be abstracted, and mainly for a numerical activity resource, in this example, if a continuous data model is selected, the activity resources are configured to limit the total resource value consumed by the activity in a limiting target within a range through a constraint operation, for example, the activity resource is 5 to 1 thousand, and the total resource value is limited to 5000-10000. In another example, for discrete activity resources, a discrete data model can be abstracted, mainly for field-type activity resources, such as regions, brands, categories, etc., in this example, if the discrete data model is selected, the activity resources are configured to limit the activity in a limit target within a range through a constraint operation, such as the activity resources are region limits, and the region is limited in Beijing. And then calculating a value reached by activity data formed by the indexes based on the activity calculation platform, taking expected values of the indexes under the constraint of different activity resources as standards for cleaning the activity data, cleaning the activity data with the value reaching the expected values as preferred activity data, and further acquiring an activity information template related to the preferred activity data.

202. And receiving a recommendation instruction of activity information based on the analysis result of the first activity data, and calculating a numerical interval reached by activity data formed aiming at a preset activity index under the constraint of a target activity resource according to the target activity resource carried by the recommendation instruction.

The recommending instruction is an instruction for requesting the activity information to be pushed by the server, and because the server hardly finds the activity information suitable for delivery accurately and cannot monitor the effect achieved by the activity information in real time, the server can determine an activity information template capable of achieving a target activity resource by using an analysis result of the network platform based on first activity data and combining the target activity resource provided by the server without configuring the activity information after entering the network platform, and provide a plurality of activity information templates for the server, so that the server can select from the plurality of activity information templates and issue corresponding activities.

Specifically, in the process of calculating a numerical region reached by activity data formed by preset activity indexes under the constraint of target activity resources, the target activity resources are often limited by an activity range accepted by a service party, and the numerical region reached by the activity data formed by the activity indexes can be counted by using the activity data recorded in an activity calculation platform, and the numerical region is usually based on an initial value of the activity index and can reflect the condition that the activity indexes can be changed by issuing activities under the constraint of the activity resources. It can be understood that, for the case that the initial value of the activity index is high, the space for promoting the activity index is often small, that is, the range of the value interval is small, and conversely, the space for promoting the activity index is large and the range of the value interval is large.

203. And selecting the activity information template associated with the preferred activity data reaching the numerical value interval from the activity information templates, and pushing the activity information template as an activity information template suitable for the delivery of the service party.

The activity information template records activity information of the associated preferred activity data, namely the activity information capable of achieving the expected effect, and further can push the activity information in a data interval constrained in the target activity resource aiming at the target activity resource provided by the server so as to reduce the configuration process of the server on the activity information and realize the accurate push of the activity information.

Further, as a refinement and an extension of the specific implementation of the foregoing embodiment, in order to fully describe the specific implementation process of the present embodiment, a process of selecting an activity information template suitable for delivery by a service provider based on first activity data for pushing is provided in the present embodiment, and as shown in fig. 3, the method includes:

301. and acquiring third activity data formed by the server delivery historical activity information aiming at the activity index.

The historical activity information is activity information which is issued by a service party in order to improve an activity index, and the network platform usually uses operation data collected by the service party in dimensionality.

It can be understood that activity information used by different service parties is often targeted, and activity information published for different activity indexes or activity index combinations is different, for example, activity information a published by a service party a for a new user is used for improving activity indexes of a new customer, activity information B published by a service party B for an old user with a new user is used for improving activity indexes of the new customer and the old customer, of course, the two activity indexes are also used for improving activity indexes of total transactions, historical activity information can be sorted for the activity indexes, and then activity information for the same activity indexes is collected, so that activity information optimization is performed for the activity indexes. Specifically, the resource data generated for the historical activity information may be collected in stages, and the resource data collected in stages may be used to perform statistics on the resource data according to the activity index, so as to obtain third activity data formed for the activity index.

302. And if the third activity data formed aiming at the activity index reaches the expected value, taking the third activity data as the preferred activity data, and selecting the activity information related to the preferred activity data as the activity information template.

It should be noted that, whether the activity index or the combination of the activity indexes requires that the activity data formed by the corresponding activity indexes reach an expected value, the expected value is the minimum effect expected by the activity, may be an average value of activity data formed by historical activity information, or may be a weighted average of activity data formed by historical activity data according to index weights, and is not limited herein.

In an actual application scenario, the activity computing platform may perform periodic statistics on activity data formed by historical activity information, and compute resource data corresponding to the activity data formed by the historical activity information, for example, a numerical value of an activity index a in a week and a numerical value of an activity index B in a month, and perform statistics on the resource data corresponding to the activity data formed by the historical activity information according to the activity indexes, so as to analyze the historical activity information of the same activity index, determine whether a numerical value reached by the activity data for the activity index is greater than or equal to an expected value, and is greater than the expected value, which indicates that an expected effect achieved by the historical activity information is better, and deposit the historical activity information achieving the better expected effect as an activity information template.

It can be understood that the activity information template is precipitated by the actual release of the activity information by the service party, and generally has a better expected effect, so that the marketing effect of the release activity can be achieved.

303. And receiving a recommendation instruction of the activity information based on the analysis result of the first activity data, and counting a first numerical value reached by the first activity data formed by the server according to a preset activity index.

The first value that the server side reaches for the activity data formed by the preset activity index is usually the effect that the server side can achieve in the current operation, and is usually not expected by the server side, and specifically, the network platform can analyze metadata generated in the operation process of the server side in real time to obtain the condition of each activity index of the server side, and certainly, the server side can also provide the metadata to the network platform after analyzing by itself, and the network platform further analyzes the activity information issued by the server side according to the condition of each activity index provided by the server side to further visually output data related to the activity information, for example, a group to which the activity information is directed, an index to which the activity information is directed, and the activity information.

304. And calculating a second numerical value which is expected to be reached by activity data formed aiming at a preset activity index under the constraint of the target activity resource according to the target activity resource carried by the recommended instruction.

The second value expected to be reached by the activity data formed by the preset activity index may be an operation effect that the service party can expect after the activity information is published before the activity information is not published, for example, the expected pull-up rate is increased by 2%, and of course, in order to increase the pushing effect of the activity information, the second value may also be a highest value that the activity data formed by the preset activity index under the constraint of the target activity resource can reach, for example, the pull-up rate is 5% at the maximum.

It will be appreciated that the second value may be a value that the server customizes to set the desired activity metric to increase, and may also be a value that is calculated based on the constraints of the target activity resource.

305. And determining a value interval reached by activity data formed aiming at a preset activity index according to the second value and the first value.

In general, whether the second value expected by the service provider or the calculated second value is greater than the first value, a value interval formed by the first value and the second value is a space where the activity index can be increased, or a space where the activity index needs to be increased.

It can be understood that, in order to provide better recommendation experience for the service party, the value interval reached by the activity data formed by the preset activity index may be formed by the second value and the first value calculated by the activity calculation platform according to the constraint of the target activity resource and then pushed to the service party, and the setting by the service party is not required, but may be self-set by the service party, which is not limited herein.

306. And selecting the activity information template associated with the preferred activity data reaching the numerical value interval from the activity information templates, and pushing the activity information template as an activity information template suitable for the delivery of the service party.

As an implementation case, in a case where the value interval is set by the network platform and the service party does not participate, the preferred activity data reaching the value interval may be associated, and the activity information template associated with the preferred activity data reaching the value interval may be screened from the activity information templates and pushed.

As another implementation case, in a case where the value interval is set by the network platform and the server participates, the second value calculated by the network platform is usually the activity index liftable limit, and forms the value interval with the first value, and the target expected value set by the server may not consider the constraint of the actual target activity resource, and it is necessary to further determine whether the target expected value is within the value interval, if the value interval is within the value interval, the target expected value may be realized according to the activity information, and then an activity information template associated with the preferred activity data reaching the value interval is selected from the activity information templates for pushing, if the value interval is not within the value interval, the target expected value may be set too high, and then the activity information templates associated with the preferred activity data reaching the value interval are sorted according to the value within the value interval from large to small, and selecting the activity information template with the ranking value before the preset value as the activity information template suitable for the delivery of the service party for pushing.

It can be understood that, in order to make the service side have a more comprehensive understanding of the activity information templates, the activity characteristics of the activity information templates may be analyzed in advance, for example, the activity indexes targeted by the activity information templates, the expected effects corresponding to the activity indexes, the influence factors that the activities may be affected by, and the like. Certainly, in consideration of the personalized requirements of the server, the content in the activity information template can also be added into a template defined by the server, so that the server can flexibly configure the activity information template.

Further, after selecting and pushing an activity information template suitable for being released by a server, specifically, in response to an activity creation instruction, the activity information of the server is issued according to the activity information template, the activity information simultaneously supports at least one agent passing verification, the at least one agent is verified by using an exclusive identifier extracted from the activity information, an activity participant is identified according to a verification result, and second activity data generated by the server updating the activity information template is acquired.

It can be understood that, in the process of issuing the activity information, the service side uses a plurality of agents, in order to facilitate statistics of the activity data generated by the activity information, the activity data of the user needs to be verified by different agents, and the activity information simultaneously supports at least one agent of the verification, the data passing the verification is valid data, and then valid activity data generated by different agents is counted, and second activity data generated by the service side updating the activity information template is obtained.

Because the activity information is published to the platform or pushed to the user terminal through the agent party, in order to track the agent party passed by the activity participant, in order to avoid repeated verification of a plurality of agent parties, the exclusive identifier of the agent party can be deployed in the activity information in the process of publishing the activity information to the activity participant, and then when the activity participant uses the resource provided by the activity information, at least one agent party can be verified by using the exclusive identifier extracted from the activity information.

The exclusive identifier can identify an agent party passed by the active participant, and can be specifically embedded into a link of the activity information, such as a coupon code link, a two-dimensional code link and the like, and is usually a unique identifier of the agent party to represent the uniqueness of the agent party, such as a code and/or a number of the agent party, and can also be secret key information set for the agent party to represent the secrecy of the agent party information, so that the user completes the verification of the activity data after receiving a message passing the verification.

Specifically, in practical application, activity data formed by the activity participants can be changed in real time, a third numerical value reached by the server for second activity data formed by a preset activity index can be counted according to the condition of the activity index after the activity is executed through periodic statistics, comparison information is formed between the third numerical value and the numerical value interval, a verification result of the activity information template is obtained, the verification result can judge whether the third numerical value reached by the second activity data is in the numerical value interval, and then the promotion space of the activity index can be known.

Generally, the larger the third value is, the more the activity is expected to achieve the expected operational effect, but it is also possible that the activity is not so significant, and is not improved much compared to the initial first value.

If the activity effect is continuously lower than the expected effect, the reason that the activity effect is lower than the expected effect can be analyzed according to the characteristics of the second activity data, for example, the reason may be the reason of the activity release time and the reason of the activity delivery crowd, and further, the service party is provided with remedial measures aiming at the reason that the activity effect is lower than the expected effect, and the service party determines whether to adjust the activity information template.

If the activity effect is in accordance with expectation and the network platform analyzes the second activity data, a liftable space exists for the activity index, visual comparison information of the activity data and the liftable space of the activity index can be provided for the service party, a scheme for adjusting the activity information template is attached, and the service party selects to adjust the activity information template or continues to execute the activity information template according to the original activity information template until the activity is finished.

If the activity effect is in accordance with expectation and the network platform analyzes the second activity data, and aiming at the condition that the activity indexes temporarily do not exist in the space capable of being improved, the visual comparison information of the second activity data can be provided for the service party, and the visual comparison information is executed according to the original activity information template until the activity is finished.

As a visual implementation manner of comparison information, for a single activity index, a first numerical value corresponding to initial activity data may be used as a base point, a numerical value corresponding to real-time activity data after using an activity information template may be used as a comparison point, a difference value of each time point or time period is calculated to form a connection line, the connection line may indicate a change condition of the activity index, and then, according to an association relationship between the activity index and the activity information template, the activity indexes associated with the activity information template are summarized to form visual comparison information of the activity data.

Specifically, in a scenario where the server monitors the second activity data, the second activity data may be users from different agents, the exclusive identifier of the agent may be extracted by processing the second activity data, and statistics may be performed on activity participation crowds of the second activity data from different agents based on the exclusive identifier.

Specifically, in a scene that the server side analyzes the second activity data, the second activity data may come from different interaction participators, the activity participators of the activity data can be divided according to the user images, the distribution condition of the activity participators on each user attribute is analyzed, and for the condition with higher distribution probability, the activity participators with higher activity participation degree aiming at the user attribute are explained, so that the characteristics of the activity participators with higher activity participation degree are mined; the activity participation crowd of the second activity data can be divided according to the activity participation time, the distribution condition of the activity participation crowd in each time period is analyzed, and the activity time with higher activity participation degree is further mined.

The content of the foregoing embodiment is a processing procedure of activity information described at a server side, and further, to fully illustrate an implementation of the embodiment, the embodiment further provides a processing method of activity information, which can be applied to a client side to illustrate a front-end operation procedure of activity information distribution, as shown in fig. 4, the method includes:

401. and generating and sending a recommendation instruction of the activity information in response to the activity issuing request.

The activity issuing request is sent by a client corresponding to the server, the recommendation instruction of the activity information carries a target activity resource, and the target activity resource needs to consider the self condition of the server.

Further, in order to avoid providing unsuitable active resources by the server, the server may provide different active resources to the server in advance, where the different active resources are expected to reach the reference value interval corresponding to the active index, so that the server may determine the target active resource according to the reference value interval.

402. And receiving an activity information template, and creating an activity based on the activity information template.

The activity information template provides activity information related to the preferred activity data for the server side, if the activity information does not achieve the expected effect in the operation period, the server side can adjust the activity information at any time or select corresponding activity information of offline, and the situations that activity resources are over-paid, or users participating in the activity cannot cash the activity service and the like are avoided.

In an application scenario of recommending specific activity template information, in an interaction process between a server and a client, as shown in fig. 5, the server pre-cleans a plurality of activity information templates with an effect of improving a pull-up rate, the client generates and sends a recommendation instruction of activity information in response to an activity information release request, the recommendation instruction carries a target activity resource, after receiving the recommendation instruction of the activity information at the server, calculates a value interval that can be reached for the pull-up rate under the constraint of the target activity resource carried by the activity information recommendation instruction according to the target activity resource carried by the recommendation instruction, screens out the activity information template in the value interval that can be reached for the pull-up rate from the plurality of activity templates to push, and after receiving the activity information template, the client creates a corresponding activity based on the activity information template.

In an application scenario of recommending activity template information, a processing process of activity information may be as shown in fig. 6, after a service party enters a management platform, a processing function of intelligent activity information is started, a recommendation instruction of the activity information is triggered, a promotion plan of a periodic activity index is set, an activity computing platform may analyze an activity index and activity data provided by the service party and provide an activity information template to the service party, the service party selects an appropriate activity information template, creates an activity, generates an activity plan, after executing the activity, monitors and analyzes the activity data in real time, determines whether the activity is finished, if finished, notifies the service party and consults whether the activity is finished, the service party determines whether the activity is finished, if not finished, analyzes whether the activity data meets expectations, if yes, determines whether a more preferable activity information template exists, if the more preferable activity information template exists, the server is informed to decide whether to adjust the activity information template or execute the original activity information template, if not, the activity is continuously executed, if the expectation is not met, the server is informed to decide whether to terminate the activity, if not, the activity is continuously executed, and if so, the activity setting can be carried out again.

Further, as a specific implementation of the methods in fig. 1 to fig. 3, an embodiment of the present application provides an apparatus for processing activity information applicable to a server side, as shown in fig. 7, the apparatus includes: a first acquiring unit 51, a selecting unit 52, a second acquiring unit 53, a determining unit 54, and a transmitting unit 55.

A first obtaining unit 51, configured to obtain first activity data generated by delivering activity information by a service provider;

the selecting unit 52 may be configured to select, based on the first activity data, an activity information template suitable for delivery by a service provider for pushing;

a second obtaining unit 53, configured to obtain second activity data generated by the server updating the activity information template;

a determining unit 54, operable to determine a verification result of the activity information template based on the first activity data and the second activity data;

the sending unit 55 may be configured to send a verification result of the activity information template.

Compared with the existing mode that a service party selects an activity service to release, the activity information processing device provided by the embodiment of the application obtains first activity data generated by releasing the activity information by the service party, selects an activity information template suitable for releasing by the service party based on the first activity data to push, associates the activity information template with preferred activity data, can achieve an expected releasing effect by forming the activity data reaching an expected value aiming at an activity index by the service party, and further obtains second activity data generated by updating the activity information template by the service party; the verification result of the activity information template is determined based on the first activity data and the second activity data to verify whether the activity data formed by the preset activity indexes meet expectations or not, the activity service does not need to be configured by a service party in the whole activity information processing process, the activity template information can be intelligently pushed to the service party according to the analysis result of the activity information to achieve accurate recommendation of the activity information, the generated activity data is verified after the activity template information is released, the parameters of the activity information are adjusted according to the verification result, and the activity template information achieves the expected release effect.

In a specific application scenario, as shown in fig. 8, the selecting unit 52 includes:

the obtaining module 521 may be configured to obtain an activity information template which is previously cleaned to associate with preferred activity data, where the preferred activity data is activity data that is formed by a service party for an activity index and reaches a desired value;

the calculating module 522 may be configured to receive a recommendation instruction of activity information based on an analysis result of the first activity data, and calculate, according to a target activity resource carried by the recommendation instruction, a value interval that is reached by activity data formed for a preset activity index under a constraint of the target activity resource;

the selecting module 523 may be configured to select, from the activity information templates, an activity information template associated with preferred activity data reaching the numerical range, and push the activity information template as an activity information template suitable for delivery by the service provider.

In a specific application scenario, the obtaining module 521 includes:

the obtaining submodule 5211 may be configured to obtain third activity data formed by the historical activity information of the service provider for the activity index;

the association submodule 5212 may be configured to, if the third activity data formed for the activity index reaches the expected value, use the third activity data as the preferred activity data, and select the activity information associated with the preferred activity data as the activity information template.

In a specific application scenario, the obtaining sub-module 5211 may be specifically configured to collect resource data generated for historical activity information in a staged manner;

the obtaining sub-module 5211 may be further configured to utilize the resource data collected in a staged manner, and count the resource data according to the activity index to obtain third activity data formed according to the activity index.

In a specific application scenario, as shown in fig. 8, the calculating module 522 includes:

the statistic submodule 5221 may be configured to count a first value reached by activity data formed by the service policy for a preset activity index;

the calculating submodule 5222 may be configured to calculate, according to the target activity resource carried by the recommendation instruction, a second numerical value that is expected to be reached by the activity data formed for a preset activity index under the constraint of the target activity resource;

the determining submodule 5223 may be configured to determine, according to the second value and the first value, a value interval reached by the activity data formed for a preset activity index.

In a specific application scenario, as shown in fig. 8, the recommendation instruction further includes a target expected value that is reached by activity data formed by a preset activity index, and the selecting module 523 includes:

a determining submodule 5231, configured to determine whether the target expected value is within the value interval;

a selecting submodule 5232, configured to, if yes, screen out an activity information template associated with preferred activity data reaching a value interval from the activity information templates and push the activity information template;

the selecting sub-module 5232 may be further configured to, if not, sort the activity information templates associated with the preferred activity data reaching the value interval according to the values in the value interval from large to small, select an activity information template with a sorting value before a preset value, and push the activity information template as an activity information template suitable for delivery by a service provider.

In a specific application scenario, as shown in fig. 8, the second obtaining unit 53 includes:

the publishing module 531 may be configured to, in response to the activity creating instruction, publish activity information of the service party according to the activity information template, where the activity information simultaneously supports at least one agent party that passes the verification;

the verification module 532 may be configured to verify the at least one agent by using the dedicated identifier extracted from the activity information, identify an activity participant according to a verification result, and obtain second activity data generated by the service updating the activity information template.

In a specific application scenario, as shown in fig. 8, the determining unit 54 includes:

the counting module 541 may be configured to count a third value reached by the second activity data formed by the service party for the preset activity index;

the generating module 542 may be configured to form comparison information between the third value and the value interval, so as to obtain a verification result of the activity information template.

It should be noted that other corresponding descriptions of the functional units involved in the apparatus for processing activity information applicable to the server side provided in this embodiment may refer to the corresponding descriptions in fig. 1 and fig. 2, and are not repeated herein.

Further, as a specific implementation of the method in fig. 4, an embodiment of the present application provides an apparatus for processing activity information applicable to a client side, as shown in fig. 9, the apparatus includes: a generating unit 61 and a creating unit 62.

The generating unit 61 may be configured to generate and send a recommendation instruction of the activity information in response to the activity issue request, where the recommendation instruction carries the target activity resource;

the creating unit 62 may be configured to receive an activity information template, and create an activity based on the activity information template.

In a specific application scenario, as shown in fig. 10, the apparatus further includes:

a receiving unit 63, configured to receive a verification result of the activity template information after the activity information template is received and an activity is issued based on the activity information template, where the verification result carries comparison information formed by the second activity data and the first activity data;

the adjusting unit 64 may be configured to adjust the activity parameter in the activity information template according to the comparison information.

It should be noted that other corresponding descriptions of the functional units involved in the apparatus for processing activity information applicable to the client side provided in this embodiment may refer to the corresponding description in fig. 3, and are not repeated herein.

Based on the methods shown in fig. 1 to fig. 3, correspondingly, the present application further provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for processing the activity information shown in fig. 1 to fig. 2 is implemented. Based on the method shown in fig. 4, correspondingly, the present application further provides a storage medium, on which a computer program is stored, and when the program is executed by a processor, the program implements the method for processing activity information shown in fig. 3.

Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the implementation scenarios of the present application.

Based on the method shown in fig. 1 to fig. 3 and the virtual device embodiment shown in fig. 7 to fig. 8, to achieve the above object, an embodiment of the present application further provides a server device, which may specifically be a computer, a server, or other network devices, where the entity device includes a storage medium and a processor; a storage medium for storing a computer program; a processor for executing a computer program to implement the method of processing activity information as described above in fig. 1-3.

Based on the method shown in fig. 4 and the virtual device embodiments shown in fig. 9 to fig. 10, in order to achieve the above object, an embodiment of the present application further provides a client entity device, which may specifically be a computer, a smart phone, a tablet computer, a smart watch, or a network device, where the entity device includes a storage medium and a processor; a storage medium for storing a computer program; a processor for executing a computer program to implement the above-described processing method of the activity information as shown in fig. 4.

Optionally, both the two entity devices may further include a user interface, a network interface, a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WI-FI module, and the like. The user interface may include a Display screen (Display), an input unit such as a keypad (Keyboard), etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), etc.

Those skilled in the art will appreciate that the physical device structure of the processing of the activity information provided in the present embodiment does not constitute a limitation to the physical device, and may include more or less components, or combine some components, or arrange different components.

The storage medium may further include an operating system and a network communication module. The operating system is a program for managing hardware and software resources of the actual device for store search information processing, and supports the operation of the information processing program and other software and/or programs. The network communication module is used for realizing communication among components in the storage medium and communication with other hardware and software in the information processing entity device.

Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by software plus a necessary general hardware platform, and can also be implemented by hardware. Through the technical scheme, compared with the existing mode, the activity information processing method and the activity information processing system do not need a server to configure activity services in the whole activity information processing process, can intelligently push activity template information for the server according to the analysis result of the activity information, achieve accurate recommendation of the activity information, verify generated activity data after the activity template information is released, adjust the parameters of the activity information according to the verification result, and enable the activity template information to achieve the expected release effect.

Those skilled in the art will appreciate that the figures are merely schematic representations of one preferred implementation scenario and that the blocks or flow diagrams in the figures are not necessarily required to practice the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario may be distributed in the devices in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.

The above application serial numbers are for description purposes only and do not represent the superiority or inferiority of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present application.

Claims

1. A method for processing activity information, comprising:

acquiring first activity data generated by a server releasing activity information, wherein the first activity data is data generated by an activity participant entering an activity through the activity information and triggering a corresponding activity behavior;

by analyzing first activity data, based on the analysis result of the first activity data, selecting activity information associated with preferred activity data reaching a numerical range from an activity information template, and pushing the activity information as an activity information template suitable for delivery by a service party, wherein the associated numerical range is a space for activity index demand promotion, and the analysis result comprises activity data reaching numerical distribution conditions formed aiming at each activity index and activity index expected value promoting conditions;

determining a verification result of an activity information template based on the first activity data and the second activity data, wherein the verification result comprises comparison information formed by a third numerical value reached by the second activity data and a numerical value interval, and the verification result is used for judging whether the third numerical value reached by the second activity data is in the numerical value interval or not;

and sending the verification result of the activity information template.

2. The method according to claim 1, wherein the selecting an activity information template suitable for delivery by a service provider based on the first activity data for pushing comprises:

3. The method according to claim 2, wherein the obtaining of the activity information template previously cleaned of associated preferred activity data specifically comprises:

4. The method according to claim 3, wherein the obtaining third activity data formed by the server delivery history activity information with respect to the activity index specifically comprises:

5. The method according to claim 2, wherein the calculating, according to the target activity resource carried by the recommendation instruction, a numerical interval that is reached by activity data formed for a preset activity index under the constraint of the target activity resource specifically includes:

6. The method according to any one of claims 2 to 5, wherein the recommendation instruction further includes a target expected value reached by activity data formed for a preset activity index, and the selecting an activity information template associated with preferred activity data reaching a numerical interval from the activity information templates as an activity information template suitable for delivery by a service provider includes:

7. The method of claim 1, wherein the obtaining service updates second activity data generated by an activity information template; the method specifically comprises the following steps:

8. The method according to claim 2, wherein the determining a verification result of the activity information template based on the first activity data and the second activity data specifically comprises:

9. A method for processing activity information, comprising:

the method comprises the steps of receiving an activity information template, creating an activity based on the activity information template, wherein the activity information template is activity information of preferred activity data related to a value interval selected from the activity information template based on an analysis result of first activity data, the first activity data is data generated by activity participants entering activities through the activity information and triggering corresponding activity behaviors, and the analysis result comprises activity data reaching value distribution conditions formed aiming at each activity index and expected value improving conditions of each activity index.

10. The method of claim 9, wherein after receiving an activity information template and publishing an activity based on the activity information template, the method further comprises:

11. An apparatus for processing activity information, comprising:

the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring first activity data generated by the activity information released by a service party, and the first activity data is data generated by the activity information entering into the activity by an activity participant and triggering the corresponding activity behavior;

the selection unit is used for selecting activity information related to preferred activity data reaching a numerical range from an activity information template based on an analysis result of the first activity data by analyzing the first activity data, and pushing the activity information as the activity information template suitable for being released by a service party, wherein the related numerical range is a space for improving activity index requirements, and the analysis result comprises activity data reaching numerical distribution conditions formed aiming at each activity index and expected liftable numerical conditions of each activity index;

a determining unit, configured to determine, based on the first activity data and the second activity data, a verification result of an activity information template, where the verification result includes comparison information formed by a third value reached by the second activity data and a value interval, and the verification result is used to determine whether the third value reached by the second activity data is within the value interval;

12. An apparatus for processing activity information, comprising:

13. A non-transitory readable storage medium on which a computer program is stored, the program implementing the processing method of activity information according to any one of claims 1 to 10 when executed by a processor.

14. A server device and a client device, comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the method for processing activity information according to any one of claims 1 to 10 when executing the program.