CN111581600A

CN111581600A - Data processing method, data processing device, computer equipment and storage medium

Info

Publication number: CN111581600A
Application number: CN202010368063.8A
Authority: CN
Inventors: 陈天然; 林新平
Original assignee: Weimin Insurance Agency Co Ltd
Current assignee: Weimin Insurance Agency Co Ltd
Priority date: 2020-04-30
Filing date: 2020-04-30
Publication date: 2020-08-25

Abstract

The application relates to a data processing method, a data processing device, computer equipment and a storage medium. The method comprises the following steps: acquiring user behavior data, wherein the user behavior data comprises at least one activity identifier; extracting activity information corresponding to the activity identification in the user behavior data; calculating indirect resources of the activity according to the activity information, wherein the indirect resources comprise indirect resource expenditure and/or indirect resource income; acquiring direct resources of the activity, wherein the direct resources comprise direct resource expenditure and/or direct resource income; and calculating the resource input-output ratio of the activity according to the direct resources and the indirect resources, wherein the resource input-output ratio is used for evaluating the activity. Calculating indirect resources according to the activity information of the user, comprehensively considering the resource input and output ratios of the indirect resources and the direct resources, calculating to obtain an accurate evaluation result when evaluating the activity according to the resource input and output ratios, and controlling the accurate execution of the activity according to the evaluation result of the activity.

Description

Data processing method, data processing device, computer equipment and storage medium

Technical Field

The present application relates to the field of computer technologies, and in particular, to a data processing method and apparatus, a computer device, and a storage medium.

Background

The evaluation standard of the existing operation activities is generally judged according to the direct resource income creating amount and the ratio of the directly consumed resources. However, resources and/or consumed resources brought by operation activities in actual activities cannot be directly calculated, for example, some activities for updating and returning do not necessarily create resource profits, some activities do not have direct resource expenditure, but spend many other resources, and only adopt data of direct resources to perform activity evaluation, which causes a large evaluation error to easily occur when activities are evaluated according to resources, thereby affecting the execution of activities.

Disclosure of Invention

In order to solve the technical problem, the application provides a data processing method, a data processing device, a computer device and a storage medium.

In a first aspect, the present application provides a data processing method, including:

acquiring user behavior data, wherein the user behavior data comprises at least one activity identifier;

extracting activity information corresponding to the activity identification in the user behavior data;

calculating indirect resources of the activity according to the activity information, wherein the indirect resources comprise indirect resource expenditure and/or indirect resource income;

acquiring direct resources of the activity, wherein the direct resources comprise direct resource expenditure and/or direct resource income;

and calculating the resource input-output ratio of the activity according to the direct resources and the indirect resources, wherein the resource input-output ratio is used for evaluating the activity.

In a second aspect, the present application provides a data processing apparatus comprising:

the data acquisition module is used for acquiring user behavior data, and the user behavior data comprises at least one activity identifier;

the activity information extraction module is used for extracting activity information corresponding to the activity identification in the user behavior data;

the indirect resource calculation module is used for calculating indirect resources of the activity according to the activity information, and the indirect resources comprise indirect resource expenditure and/or indirect resource income;

the direct resource acquisition module is used for acquiring direct resources of activities, wherein the direct resources comprise direct resource expenditure and/or direct resource income;

and the resource production ratio calculation module is used for calculating the resource production ratio of the activity according to the direct resources and the indirect resources, and the resource production ratio is used for evaluating the activity.

A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:

A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:

The data processing method, the data processing device, the computer equipment and the storage medium comprise the following steps: acquiring user behavior data, wherein the user behavior data comprises at least one activity identifier; extracting activity information corresponding to the activity identification in the user behavior data; calculating indirect resources of the activity according to the activity information, wherein the indirect resources comprise indirect resource expenditure and/or indirect resource income; acquiring direct resources of the activity, wherein the direct resources comprise direct resource expenditure and/or direct resource income; and calculating the resource input-output ratio of the activity according to the direct resources and the indirect resources, wherein the resource input-output ratio is used for evaluating the activity. Calculating indirect resources according to the activity information of the user, comprehensively considering the resource input and output ratios of the indirect resources and the direct resources, calculating to obtain an accurate evaluation result when evaluating the activity according to the resource input and output ratios, and controlling the accurate execution of the activity according to the evaluation result of the activity.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.

FIG. 1 is a diagram of an application environment of a data processing method in one embodiment;

FIG. 2 is a flow diagram illustrating a data processing method according to one embodiment;

FIG. 3 is a schematic diagram of a data processing system in one embodiment;

FIG. 4 is a block diagram showing the structure of a data processing apparatus according to an embodiment;

FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

FIG. 1 is a diagram of an application environment of a data processing method in one embodiment. Referring to fig. 1, the data processing method is applied to a data processing system. The data processing system includes a terminal 110 and a server 120. The terminal 110 and the server 120 are connected through a network. The server 120 receives user behavior data of the plurality of terminals 110, the user behavior data including at least one activity identifier, extracts activity information corresponding to the activity identifier from the user behavior data, calculates indirect resources of each activity according to the activity information, the indirect resources including indirect resource expenditure and/or indirect resource income, obtains direct resources of each activity, the direct resources including direct resource expenditure and/or direct resource income, calculates a resource production ratio of each activity according to the direct resources and the indirect resources of each activity, and the resource production ratio is used for evaluating the activity.

The terminal 110 may specifically be a desktop terminal or a mobile terminal, and the mobile terminal may specifically be at least one of a mobile phone, a tablet computer, a notebook computer, and the like. The server 120 may be implemented as a stand-alone server or a server cluster composed of a plurality of servers.

In one embodiment, as shown in FIG. 2, a data processing method is provided. The embodiment is mainly illustrated by applying the method to the terminal 110 (or the server 120) in fig. 1. Referring to fig. 2, the data processing method specifically includes the following steps:

step S201, user behavior data is acquired.

In this embodiment, the user behavior data includes at least one activity identifier.

Step S202, activity information corresponding to the activity identification in the user behavior data is extracted.

Specifically, the user behavior data refers to browsing, clicking operation, and the like of the user in the page. Wherein the user can be a common person, an organization, and the like. The activity identification is a data tag for identifying an activity. Each activity corresponds to a unique activity identification. The user behavior data includes activity information related to activities, where the activity information includes, but is not limited to, information such as whether the user pays attention to, subscribes to, shares, etc. to the activities, which is obtained by statistics according to browsing and clicking operations, and the remaining activity of the user is determined according to browsing time and frequency. The activity information may also include source and/or destination information of the user, etc. And taking one activity as the current activity, wherein the source of the user refers to the information of other activities obtained by the user from the diversion of other activities, and the destination information refers to the information of the activity which is the diversion of other activities. The influence degree of other activities on the activities can be calculated according to the source information of the activities, and the influence degree of the activities on other activities can be calculated according to the destination information of the activities.

After the user enters the system, the generated behaviors are various, whether various behavior data generated on a webpage of the user belong to activity-related behavior data or not is accurately sorted out, and the activity to which the behavior data belongs is sorted out from the activity-related behavior data. The specific identifier of each activity (activity identifier) is implanted into all activity pages and activity actions that may occur to the user, so as to ensure that each action of the user can be marked with a unique identifier, namely an activity ID. By the activity ID, the behavior log related to the user activity can be conveniently sorted out from a large amount of logs. The activity information extraction is carried out on the user behavior data by adopting the activity identification, so that the data volume required to be scanned in the subsequent calculation can be greatly reduced, and the time and the calculation resources are saved. In a huge user behavior data set, required data can be accurately positioned, only income and expenditure of indirect resources can be obtained through complex relation calculation, the data are processed in limited hardware resources, and the accurate data can be quickly obtained by labeling the user behavior data, so that the data processing efficiency is improved.

In one embodiment, the user behavior data may be data of a day, a week, a month, data generated after an activity is on-line, and the like. The time period corresponding to the user behavior data can be customized according to requirements, and data of a plurality of different time periods can be processed at the same time.

Step S203, calculating indirect resources of the activity according to the activity information.

In this particular embodiment, the indirect resources include indirect resource expenditures and/or indirect resource revenues.

In particular, indirect resources refer to resources that cannot be directly determined. In actual activities, the expenditure and/or income of a lot of resources are related to the behavior of users in the activities and cannot be directly and accurately given. In order to obtain indirect resources, the resources consumed by the user in the activity and the obtained resources, namely indirect resource expenditure and indirect resource income, can be obtained by performing data processing such as statistics and analysis on the activity information of the user. Take insurance activity as an example, where indirect resource income and expenditure includes, but is not limited to, indirect resource income and expenditure calculated according to the indicators of attention, subscription, sharing, active retention, etc., where indirect resource expenditure includes, but is not limited to, advertisement expenditure, message pushing amount expenditure, human expenditure, etc.

In one embodiment, indirect resource revenue and indirect resource expenditure for an activity is calculated, including the expenditure of resources that would be incurred by the activity drain to be paid for other activities, and similarly, if the activity drains users for other activities, indirect revenue includes other activities paying for the drain of the activity.

Step S204, acquiring active direct resources.

In this particular embodiment, the direct resources include direct resource expenditures and/or direct resource revenues.

In particular, a direct resource refers to a resource that can be directly computed. In the case of insurance activities, direct resource revenue includes premium and commission, among others. Direct resource expenditures include cash expenditures, voucher expenditures, gift expenditures, and channel expenditures, among others. Wherein the cash disbursement comprises a cash red envelope value withdrawn by the user, the voucher disbursement comprises a voucher value used by the user, and the gift disbursement comprises a supplier gift disbursement, an electronic gift disbursement, a physical gift disbursement and the like. Wherein the supplier gift refers to gift value used by the cooperative supplier, such as physical examination package, tooth washing package, etc. The electronic gift expenditure comprises the value of the issued electronic gift certificate such as a supermarket shopping ticket, and the physical gift expenditure refers to the value of the issued physical gift. The channel expenditure refers to the actual cost of the external channel flow and the like.

And step S205, calculating the resource production ratio of the activity according to the direct resources and the indirect resources.

In this particular embodiment, the resource commissioning ratio is used to evaluate the activity.

Specifically, resource expenditure and resource income of the resources are counted, wherein the resource expenditure comprises direct and/or indirect resource expenditure, and the resource income comprises direct and/or indirect resource income. And calculating the ratio of the resource income to the resource expenditure to obtain the resource production ratio. If the production ratio is larger than 1, the income is larger than the expense, if the production ratio is equal to 1, the income is equal to the expense, and if the production ratio is smaller than 1, the income is smaller than the expense. The higher the profitability of the campaign agent is to the on-stream ratio.

The data processing method comprises the following steps: acquiring user behavior data, wherein the user behavior data comprises at least one activity identifier; extracting activity information corresponding to the activity identification in the user behavior data; calculating indirect resources of the activity according to the activity information, wherein the indirect resources comprise indirect resource expenditure and/or indirect resource income; acquiring direct resources of the activity, wherein the direct resources comprise direct resource expenditure and/or direct resource income; and calculating the resource input-output ratio of the activity according to the direct resources and the indirect resources, wherein the resource input-output ratio is used for evaluating the activity. Calculating indirect resources according to the activity information of the user, calculating a resource production ratio by integrating the resource income and expenditure of the indirect resources and the direct resources, and evaluating the activity more comprehensively and accurately according to the calculated resource production ratio.

In one embodiment, the activity information includes an operation identifier and a user identifier, and the data processing method further includes:

step S301, classifying each user identifier according to the operation identifier of each user identifier in the activity information to obtain a classification label of each user identifier.

Step S302, calculating the activity conversion rate of each activity according to the classification label of each user identification.

Step S303, acquiring active basic resources.

The base resources in this particular embodiment include base resource expenditures and/or base resource revenues.

In this embodiment, step S203 includes: and calculating to obtain the indirect resources of the activity according to the activity conversion rate and the basic resources.

Specifically, the operation identifier is a tag for identifying an operation, and the user identifier is a tag for identifying a user. The specific form of the operation identifier and the user identifier can be customized. Classifying the users according to the operation of each user to obtain the classification labels corresponding to the user identifications, classifying according to the activities during classification, wherein different activities can contain the same user, and the same activity can correspond to a plurality of users. And classifying the users according to the operation executed by each user in each activity to obtain the classification labels of each user in each activity. The classification labels include, but are not limited to, valid users, invalid users, and the like, wherein the valid users and the invalid users can also be subdivided, and the specific subdivision can be defined according to business requirements. Such as category labels, may include multiple levels of subscription, attention, sharing, active retention, and the like. And determining whether the user is an effective user or not through the classification label of the user, and counting the occupation proportion of the effective user to obtain the activity conversion rate. And acquiring preset basic resources, wherein the basic resources can be average value resources of the market and can also be self-defined resources. And calculating to obtain the indirect resources of the activity according to the basic resources and the activity conversion rate.

In one embodiment, data generated after user behavior data is acquired is obtained to obtain incremental data; extracting activity information corresponding to the activity identification in the incremental data to obtain incremental activity information of the activity; and updating the classification label of each user identifier in the activity according to the incremental activity information of the activity.

Specifically, after the user behavior data is acquired, the behavior data of the user is increased along with the user behavior data, and the change of the data can influence the calculation of indirect resources of subsequent data. After the user behavior data are obtained and processed, when new user behavior data are generated, the new user behavior data are obtained to obtain incremental data, and data screening is separately performed on the incremental data to obtain activity information in the incremental data, namely incremental activity information. And counting the operation of each user in each activity in the incremental activity information, and directly updating the classification label of the user needing to be updated according to the counted data. In order to conveniently perform subsequent calculation, a user activity label needs to be generated in advance, because the classification label of the user can change continuously along with the behavior and time of the user, and the activity behavior log of the user also grows continuously, resources are consumed for calculating the classification label of the user by scanning all the behavior logs of the user in a large amount each time, an incremental calculation method is adopted, namely, an initialized classification label of the user is calculated first, and the classification label of the user is updated regularly according to the newly added user behavior log.

In one embodiment, the activity information further includes a scene identifier, and the data processing method further includes:

step S401, according to the scene identification, the classification label of each user identification is subjected to scene division to obtain at least one target classification label.

In this embodiment, the target classification tag is a classification tag of each user tag corresponding to the scene identifier.

In this embodiment, step S302 includes: and calculating the scene conversion rate of the scene identification according to the target classification label.

In this embodiment, step S303 includes: and acquiring the basic resource corresponding to the scene identifier.

In this embodiment, step S203 includes: calculating to obtain indirect resources of the scene identification according to the basic resources corresponding to the scene identification and the scene conversion rate of the scene identification, and calculating to obtain active indirect resources according to the indirect resources of the scene identification.

Specifically, the scene identification is identification information for identifying the source and/or destination of data. After the label of each user is determined, the source and the destination of each user are determined, and the users are divided according to the source and/or the destination of the users. And counting scene conversion rates of the users in various sources and/or destinations of each activity, wherein the scene conversion rates comprise the proportion of the users converted to the activity by other activities and the proportion of the users converted to other activities by the activity. The user proportion may be a proportion of active users. The basic resource corresponding to each scene identifier refers to each predefined source and/or destination corresponding basic resource. And calculating indirect resources of each scene identifier according to the scene conversion rate and the basic price. For example, the indirect resource is obtained by calculating the product of the scene conversion rate and the basic resource, or the basic resource may be adjusted according to the scene conversion rate, and the indirect resource corresponding to the scene identifier is obtained by calculating the product of the scene conversion rate and the adjusted basic resource. And when the scene identifier is contained, taking the indirect resource corresponding to the scene identifier as the active indirect resource. When a plurality of scene identifications are included, counting indirect resources of each scene identification to obtain active indirect resources.

In one embodiment, the data processing method further includes:

step S501, obtain a real resource corresponding to the scene identifier.

In this particular embodiment, real resources include real resource expenditures and/or real resource revenues.

Step S502, calculating the difference value between the real resource of the scene identifier and the basic resource corresponding to the scene identifier, and calculating the weight corresponding to the scene identifier according to the difference value.

In this embodiment, step S203 includes: and calculating to obtain indirect resources corresponding to the scene identification according to the scene conversion rate of the scene identification, the basic resources of the scene identification and the weight corresponding to the scene identification.

In particular, real resources refer to real resource incomes and expenditures in an activity, i.e., real resource incomes and real resource expenditures. Calculating the difference value between the real resource and the basic resource of the same scene identifier, determining the weight corresponding to the scene identifier according to the difference value of the scene identifier, and calculating the indirect resource of the common identifier by adopting the weight corresponding to the scene identifier, the scene conversion rate and the basic resource. And if the product of the weight corresponding to the scene identifier, the scene conversion rate and the basic resource is calculated, obtaining the indirect resource of the scene identifier.

In one embodiment, a preset conversion rate corresponding to a scene identifier, a difference value between the conversion rate of the scene identifier and the corresponding preset conversion rate are obtained, a conversion weight of the scene identifier is calculated according to the difference value between the conversion rate of the scene identifier and the preset conversion rate of the scene identifier, and indirect resources corresponding to the scene identifier are calculated according to the conversion weight of the scene identifier, the conversion rate of the scene identifier and basic resources of the scene identifier.

Specifically, the preset conversion rate may be a preset target conversion rate, an average conversion rate of scene identifiers in multiple activities, and the like, and the definition of the preset conversion rate may be customized according to a requirement. Calculating the difference between the conversion rate corresponding to the scene identifier and the preset conversion rate, calculating the conversion rate right according to the difference corresponding to each scene identifier of the activity, and calculating the product of the conversion rate weight, the conversion rate and the basic resource corresponding to the scene identifier to obtain the indirect resource of the scene identifier. And counting the indirect resources of each scene identifier of each activity to obtain the indirect resources of each activity. Wherein the weights vary as the user behavior data varies.

In one embodiment, step S205 includes: obtaining resource expenditure according to direct resource expenditure and/or indirect resource expenditure of the indirect resource in the direct resource; obtaining resource income according to direct resource income in direct resources and/or indirect resource income in indirect resources; and calculating the ratio of the resource income to the resource expenditure to obtain the active resource production ratio.

In one embodiment, a projected resource on-stream ratio of the activity is obtained; calculating the difference degree between the active resource production ratio and the estimated resource production ratio; and grading the activities according to the difference degrees to obtain the activity grade of the activities.

Specifically, after the resource production ratio of each activity is obtained through calculation, the resource production ratio is compared with a preset estimated resource production ratio, the difference between the two is judged, and the activity is graded according to the difference.

In a specific embodiment, activity expectations, including revenue & expenditure, are evaluated, and target ROIs (pre-estimated resource production rates) are set, manually supplementing human costs. Activity expectations, including revenue & expenditure, are evaluated and a target ROI is set. Manual supplementation of labor costs, daily observation of activity ROIs (data may be supplemented manually in between, e.g., channel costs, material costs, etc.). Summarizing the activity summary ROI, comparing historical ROI of other activities of the same type.

The preset production ratio comprises a daily production ratio, a weekly production ratio and the like. Such as daily data, show campaign revenue & expenditure by date (unit: day). Summary data, i.e., activity revenue & expenditure from the day of the activity online to day T-1.

In a specific embodiment, the data processing method includes:

the resource income field is described in Table 1, and the resource expenditure field is described in Table 2

Table 1 resource revenue field description

Table 2 resource expenditure field description

Direct resource income (paying user number m) (one paying user can continue to operate, average paying user value m Yuan can be assumed, m is set by user)

Indirect resource revenue-valid user-corresponding market price

Direct resource expenditure is cash expenditure, cash voucher expenditure, supplier gift expenditure, electronic gift expenditure, real gift expenditure and channel expenditure

Direct resource expenditure is manpower expenditure, message pushing expenditure and advertisement position expenditure

Resource input-output ratio ROI ═ direct resource income + indirect resource income)/(direct resource expenditure + indirect resource expenditure).

In a particular embodiment, indirect resource revenue is calculated based on the conversion rate, base resources, and weights of the scenario identifiers.

If the activity mark is activity A, the scene mark comprises market A and market B, wherein the unit price of users in market A is 5 yuan, the average user payment value is 100 yuan (basic resource), the unit price of users in market B is 3 yuan, the average user payment value is 50 yuan (basic resource), activity A drains 1000 effective users for market A (drains the number of users and conversion rate), the average user payment value is 120 yuan (real resource), activity A drains 1000 effective users for market B, and the average user payment value is 40 yuan (real resource).

Then, the market a has a weight of (120-;

market B weighs (40-50)/50-20% for activity a, user unit price 3 (100% -20%), 2.4 dollars, indirect resource revenue 1000 (2.4) 2400 dollars

In a particular embodiment, indirect resource expenditures are calculated based on the conversion rate, base resources, and weights of the scenario identifiers. If the activity mark is set as activity a, the scene mark comprises advertisement space a and advertisement space B, wherein advertisement space a (click unit price 0.5 yuan, namely, basic resource is 0.5 yuan), advertisement space B (click unit price 0.5 yuan, namely, basic resource is 0.5 yuan), average advertisement space conversion rate 50% (preset conversion rate), activity a puts advertisements in advertisement space a, drains 1000 user clicks, conversion rate 40%, activity a puts advertisements in advertisement space B, drains 1000 user clicks, conversion rate 60%, then:

the pricing weight of the advertising position A is (40% -50%)/50% — 20%, the click unit price is 0.5 ═ 100% -20% > -0.4 yuan, and the indirect resource expenditure is 1000 ═ 0.4 ═ 400 yuan;

the pricing weight of the advertising position B is (60% -50%)/50% ═ 20%, the click unit price is 0.5 × 100% + 20% > -0.6 yuan, and the indirect resource expenditure is 1000 × 0.6 ═ 600 yuan.

In one embodiment, as shown in fig. a, a data processing system is provided, which comprises a terminal 610 (including a terminal 611 and a terminal 612) and a server 620, wherein the server 620 comprises a data receiving module 621, a data processing module 622, a data storage module 623 and a data query module 624, and the terminal 610 and the server 620 are connected through a network.

And the terminal 610 is used for receiving the operation of the user, generating user behavior data according to the operation, and sending the user behavior data, wherein the user behavior data carries the activity identifier.

The data receiving module 621 is configured to receive user behavior data.

The data processing module 622 is configured to classify the user behavior data according to the activity identifier to obtain activity information corresponding to the activity identifier, and analyze the activity information of each user to obtain a classification label of each user. If the user behavior data is screened according to the activity identifier, data related to the activity identifier, namely activity information corresponding to the activity identifier, is obtained. And counting and analyzing the activity information of each user to obtain the classification label of the user, and updating the classification label of the user according to the newly added activity information after the newly added activity information.

And the data storage module 623 is configured to store activity information corresponding to the activity identifier.

And a data query module 624 for querying activity information. And according to the activity identification, performing data query on activity information (including aggregated data of A-type activities and aggregated data of B-type activities) corresponding to each activity identification. And calculating the resource income and resource expenditure of each activity according to the inquired data and the classification label of the user, and further calculating the resource production ratio of the activity.

FIG. 2 is a flow diagram illustrating a data processing method according to an embodiment. It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

In one embodiment, as shown in fig. 4, there is provided a data processing apparatus 200 comprising:

the data obtaining module 201 is configured to obtain user behavior data, where the user behavior data includes at least one activity identifier.

And the activity information extraction module 202 is configured to extract activity information corresponding to the activity identifier in the user behavior data.

And the indirect resource calculating module 203 is used for calculating indirect resources of the activity according to the activity information, wherein the indirect resources comprise indirect resource expenditure and/or indirect resource income.

A direct resource acquisition module 204, configured to acquire direct resources of the activity, where the direct resources include direct resource expenditure and/or direct resource income.

And the resource input-output ratio calculating module 205 is used for calculating the resource input-output ratio of the activity according to the direct resources and the indirect resources, and the resource input-output ratio is used for evaluating the activity.

In an embodiment, the data processing apparatus 200 further includes:

and the label determining module is used for classifying the user identifications according to the operation identifications of the user identifications in the activity information to obtain the classification labels of the user identifications.

And the conversion rate calculation module is used for calculating the activity conversion rate according to the classification label of each user identifier.

And the basic resource acquisition module is used for acquiring basic resources of the activity, wherein the basic resources comprise basic resource expenditure and/or basic resource income.

The indirect resource calculating module 203 is specifically configured to calculate to obtain the indirect resource of the activity according to the activity conversion rate and the basic resource.

In an embodiment, the tag determining module is further configured to perform scene division on each user identifier according to the scene identifier to obtain at least one target classification tag, where the target classification tag is a classification tag of each user tag corresponding to the scene identifier.

In this specific embodiment, the conversion rate calculation module is specifically configured to calculate a scene conversion rate of the scene identifier according to the target classification label.

The basic resource obtaining module is specifically configured to obtain a basic resource corresponding to the scene identifier.

The indirect resource calculating module 204 is specifically configured to calculate an indirect resource of the scene identifier according to the basic resource corresponding to the scene identifier and the scene conversion rate of the scene identifier, and calculate an indirect resource of the activity according to the indirect resource of the scene identifier.

In an embodiment, the data processing apparatus 200 further includes:

and the real resource acquisition module is used for acquiring the real resources of the scene identifier, and the real resources comprise real resource expenditure and/or real resource income.

And the weight calculation module is used for calculating the difference value between the real resource of the scene identifier and the basic resource corresponding to the scene identifier, and calculating the weight corresponding to the scene identifier according to the difference value.

The indirect resource calculation module 204 is specifically configured to calculate, according to the scene conversion rate of the scene identifier, the basic resource of the scene identifier, and the weight corresponding to the scene identifier, to obtain an indirect resource corresponding to the scene identifier.

In an embodiment, the data processing apparatus 200 further includes:

and the conversion rate calculation module is used for acquiring a preset conversion rate corresponding to the scene identifier.

The weight calculation module is further configured to calculate a difference between the conversion rate of the scene identifier and a corresponding preset conversion rate, and calculate a conversion weight of the scene identifier according to the difference between the conversion rate of the scene identifier and the preset conversion rate of the scene identifier.

The indirect resource calculation module 204 is specifically configured to calculate, according to the conversion weight of the scene identifier, the conversion rate of the scene identifier, and the basic resource of the scene identifier, to obtain an indirect resource corresponding to the scene identifier.

In one embodiment, the resource commissioning ratio calculation module 205 is specifically configured to obtain a resource expenditure according to a direct resource expenditure in the direct resources and/or an indirect resource expenditure in the indirect resources; obtaining resource income according to direct resource income in the direct resources and/or indirect resource income of the indirect resources; and calculating the ratio of the resource income to the resource expenditure to obtain the resource production ratio of the activity.

In an embodiment, the user behavior data carries time information, where the time information is a time when the user behavior data is acquired, and the data processing apparatus 200 further includes:

the data obtaining module 201 is further configured to obtain data generated after the user behavior data is obtained, so as to obtain incremental data.

The activity information extraction module 202 is further configured to extract activity information corresponding to the activity identifier in the incremental data to obtain incremental activity information of the activity;

and the label determining module is also used for updating the classification label of each user identifier in the activity according to the incremental activity information of the activity.

In an embodiment, the data apparatus 200 further includes:

and the production ratio obtaining module is used for obtaining the estimated resource production ratio of the activity.

And the difference degree calculation module is used for calculating the difference degree between the resource production ratio of the activity and the pre-estimated resource production ratio.

And the rating module is used for rating the activities according to the difference degree to obtain the activity grade of each activity.

FIG. 5 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may specifically be the terminal 110 (or the server 120) in fig. 1. As shown in fig. 5, the computer apparatus includes a processor, a memory, a network interface, an input device, and a display screen connected via a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program which, when executed by the processor, causes the processor to implement the data processing method. The internal memory may also have stored therein a computer program that, when executed by the processor, causes the processor to perform a data processing method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, the data processing apparatus provided herein may be implemented in the form of a computer program that is executable on a computer device such as that shown in fig. 5. The memory of the computer device may store various program modules constituting the data processing apparatus, such as a data acquisition module 201, an activity information extraction module 202, an indirect resource calculation module 203, a direct resource calculation module 204, and a resource production ratio calculation module 205 shown in fig. 4. The computer program constituted by the respective program modules causes the processor to execute the steps in the data processing method of the respective embodiments of the present application described in the present specification.

For example, the computer device shown in fig. 5 may perform the step of acquiring the user behavior data by using the data acquisition module 201 in the data processing apparatus shown in fig. 4, where the user behavior data includes at least one activity identifier. The computer device may perform the extracting of the activity information corresponding to the activity identification in the user behavior data by the activity information extracting module 202. The computer device may perform indirect resource calculation for the activity from the activity information via indirect resource calculation module 203, the indirect resource including indirect resource expenditure and/or indirect resource revenue. The computer device may perform the acquisition of direct resources of an activity by direct resource acquisition module 204, the direct resources including direct resource expenditures and/or direct resource revenues. The computing of the resource on-stream ratio for the activity from the direct resources and the indirect resources, which is used to evaluate the activity, may be performed by the computer device via the resource on-stream ratio computing module 205.

In one embodiment, a computer device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the steps of the data processing method when executing the computer program.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, carries out the individual steps of the above-mentioned data processing method.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present 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

1. A method of data processing, the method comprising:

obtaining direct resources for the activity, the direct resources including direct resource expenditures and/or direct resource revenues;

2. The method of claim 1, wherein the activity information includes an operation identifier and a user identifier, and wherein the method further comprises:

classifying the user identifications according to the operation identifications of the user identifications in the activity information to obtain classification labels of the user identifications;

calculating to obtain the activity conversion rate according to the classification label of each user identification;

acquiring basic resources of the activity, wherein the basic resources comprise basic resource expenditure and/or basic resource income;

the calculating the indirect resource of the activity according to the activity information comprises: and calculating to obtain the indirect resources of the activity according to the activity conversion rate and the basic resources.

3. The method of claim 2, wherein the activity information further includes a scene identifier, and wherein the method further comprises:

according to the scene identification, carrying out scene division on each user identification to obtain at least one target classification label, wherein the target classification label is the classification label of each user label corresponding to the scene identification;

the calculating to obtain the activity conversion rate according to the classification label of each user identifier comprises: calculating the scene conversion rate of the scene identification according to the target classification label;

the acquiring of the active basic resource comprises: acquiring a basic resource corresponding to the scene identifier;

calculating to obtain indirect resources of the activity according to the activity conversion rate and the basic resources, wherein the indirect resources of the activity comprise: calculating to obtain the indirect resource of the scene identification according to the basic resource corresponding to the scene identification and the scene conversion rate of the scene identification, and calculating to obtain the indirect resource of the activity according to the indirect resource of the scene identification.

4. The method of claim 3, further comprising:

acquiring real resources of the scene identification, wherein the real resources comprise real resource expenditure and/or real resource income;

calculating the difference value between the real resource of the scene identifier and the basic resource corresponding to the scene identifier, and calculating the weight corresponding to the scene identifier according to the difference value;

the calculating to obtain the indirect resource of the scene identifier according to the basic resource of the scene identifier and the scene conversion rate of the scene identifier includes: and calculating to obtain indirect resources corresponding to the scene identification according to the scene conversion rate of the scene identification, the basic resources of the scene identification and the weight corresponding to the scene identification.

5. The method of claim 3, further comprising:

acquiring a preset conversion rate corresponding to the scene identification;

calculating a difference value between the conversion rate of the scene identification and a preset conversion rate corresponding to the scene identification;

calculating to obtain the conversion weight of the scene identifier according to the difference value between the conversion rate of the scene identifier and the preset conversion rate corresponding to the scene identifier;

the calculating to obtain the indirect resource of the scene identifier according to the basic resource corresponding to the scene identifier and the scene conversion rate of the scene identifier includes: and calculating to obtain indirect resources corresponding to the scene identifications according to the conversion weight of the scene identifications, the conversion rate of the scene identifications and the basic resources of the scene identifications.

6. The method of claim 2, further comprising:

acquiring data generated after the user behavior data to obtain incremental data;

extracting activity information corresponding to the activity identification in the incremental data to obtain incremental activity information of the activity;

and updating the classification label of each user identifier in the activity according to the incremental activity information of the activity.

7. The method of claim 1, wherein calculating the resource on-demand ratio for the activity based on the direct resources and the indirect resources comprises:

obtaining resource expenditure according to the direct resource expenditure and/or the indirect resource expenditure of the indirect resource;

obtaining resource income according to direct resource income in the direct resources and/or indirect resource income of the indirect resources;

and calculating the ratio of the resource income to the resource expenditure to obtain the resource production ratio of the activity.

8. A data processing apparatus, characterized in that the apparatus comprises:

the indirect resource calculation module is used for calculating indirect resources of activities according to the activity information, and the indirect resources comprise indirect resource expenditure and/or indirect resource income;

a direct resource acquisition module for acquiring direct resources of the activity, the direct resources including direct resource expenditure and/or direct resource income;

and the resource input-output ratio calculation module is used for calculating the resource input-output ratio of the activity according to the direct resources and the indirect resources, and the resource input-output ratio is used for evaluating the activity.

9. A data processing system comprising: the terminal and the server are connected through a network,

the terminal is used for receiving user operation, generating user behavior data according to the operation and sending the user behavior data, wherein the user behavior data carries an activity identifier;

the data receiving module is used for receiving the user behavior data;

the data processing module is used for classifying the user behavior data according to the activity identification to obtain activity information corresponding to the activity identification, and analyzing the activity information of each user to obtain a classification label of each user;

and the data storage module is used for storing the activity information corresponding to the activity identifier.

And the data query module is used for querying the activity information from the data storage module.

10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 7 are implemented when the computer program is executed by the processor.

11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.