CN111966892A

CN111966892A - Data processing method and device, computer storage medium and electronic equipment

Info

Publication number: CN111966892A
Application number: CN202010678449.9A
Authority: CN
Inventors: 吴欲晓
Original assignee: Koubei Shanghai Information Technology Co Ltd
Current assignee: Koubei Shanghai Information Technology Co Ltd
Priority date: 2020-07-15
Filing date: 2020-07-15
Publication date: 2020-11-20
Anticipated expiration: 2040-07-15
Also published as: CN111966892B

Abstract

The application discloses a data processing method and device, a data marking method and device, a data processing system, a computer storage medium and an electronic device, wherein the processing method comprises the following steps: configuring a data selection condition according to the requirement of acquiring the resource data service object information; selecting a clue data set meeting data selection conditions from a clue database for recording resource data service object information, wherein the clue data set comprises clue data describing the resource data service object information meeting the data selection conditions; according to clue data in the clue data set and configured data selection conditions, creating a service tag for service information of a resource data service object to be served, which is determined based on the clue data; the service tag is characteristic data for describing service information. Therefore, the created service label is more accurate and can be adjusted in real time along with the change of the data selection condition, and the service provided for the resource data service object subsequently has more pertinence.

Description

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

Technical Field

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

Background

With the rapid development of internet technology, more and more online application services are flooded in daily life, and convenience is brought to daily life.

In the face of online application services, a better online application service function needs to be provided for a service provider which provides services by using the online application services to assist the service provider in realizing refined management and improve the conversion rate of service data of the service provider, so that targeted data analysis can be realized by describing attribute information of the service data provided by the service provider, and further refined and differentiated management is realized.

Disclosure of Invention

The application provides a data processing method, which aims to solve the problem that in the prior art, the accuracy and the effectiveness of labeled data are poor.

The application provides a data processing method, which comprises the following steps:

configuring a data selection condition according to the requirement of acquiring the resource data service object information;

selecting a clue data set meeting the data selection condition from a clue database recording the resource data service object information, wherein the clue data set comprises clue data describing the resource data service object information meeting the data selection condition;

according to the clue data in the clue data set and the configured data selection conditions, creating a service tag for the service information of the resource data service object to be served, which is determined based on the clue data; wherein the service tag is feature data for describing the service information.

In some embodiments, the configuring the data selection condition according to the requirement for obtaining the resource data service object information includes:

and configuring a data selection condition according to the requirement of acquiring the resource data service object information which has a relationship with the resource data service platform.

and configuring specified data selection conditions according to specified requirements in the acquired resource data service object information.

and configuring basic data selection conditions according to the basic requirements in the acquired resource data service object information.

and configuring the priority of the data selection condition according to the priority of the requirement for acquiring the resource data service object information.

In some embodiments, the selecting, in the thread database recording the resource data service object information, a thread data set satisfying the data selection condition includes:

and selecting a clue data set meeting the data selection condition from a clue database for recording the resource data service object information according to the configured selection period.

In some embodiments, further comprising:

and storing the selected clue data set meeting the data selection condition.

In some embodiments, the storing the selected cue data set meeting the data selection condition configuration requirement includes:

partitioning the selected clue data set meeting the data selection condition in a text format to obtain partitioned data;

and storing the block data.

In some embodiments, the creating a service tag for the service information of the to-be-serviced resource data service object determined based on the thread data includes:

acquiring a batch processing task for creating the service tag according to the monitored storage success information of the clue data set;

mapping clue data in the batch processing task to the service information of the resource data service object to be served;

and generating the service label for the service information of the resource data service object to be served according to the incidence relation between the clue data and the configured data selection condition.

In some embodiments, the creating a service tag for the service information of the resource data service object to be serviced determined based on the thread data according to the thread data in the thread data set and the configured data selection condition includes:

acquiring a historical service label of the service information of the resource data service object to be served;

determining whether the historical service label meets the configured data selection condition requirement or not according to the clue data;

if not, deleting the historical service tag to obtain the updated service tag of the resource data service object to be served;

and creating a service label for the updated service label of the resource data service object to be served according to the clue data in the clue data set and the configured data selection condition.

In some embodiments, the resource data service object is a merchant, and the resource data service object to be serviced is a merchant to be serviced.

In some embodiments, further comprising:

and storing the service tag created aiming at the service information of the resource data object to be served into clue data matched with the resource data object to be served in the clue database.

The present application also provides a data processing apparatus, comprising:

the configuration module is used for configuring data selection conditions according to the requirements for acquiring the resource data service object information;

a selecting module, configured to select, in a thread database that records the resource data service object information, a thread data set that satisfies the data selection condition, where the thread data set includes thread data that describes the resource data service object information that satisfies the data selection condition;

the creating module is used for creating a service tag for the service information of the resource data service object to be served determined based on the clue data according to the clue data in the clue data set and the configured data selection condition; wherein the service tag is a characteristic message for describing the service information.

The application also provides a data marking method, which comprises the following steps:

obtaining a clue data set, wherein the clue data set is a clue data set which is selected from a clue database for recording resource data service object information and meets data selection conditions, and the data selection conditions are data selection strategies configured according to the requirements for obtaining the resource data service object information;

determining service information of a resource data service object to be served based on clue data in the clue data set;

creating a service tag for the service information of the resource data service object to be served according to the clue data and the configured data selection condition; wherein the service tag is feature data for describing the service information.

In some embodiments, the determining the service information of the resource data service object to be serviced according to the thread data in the thread data set includes:

extracting the resource data service object information and service information corresponding to the resource data service object according to the clue data;

and determining the resource data service object as the resource data service object to be served, and determining the service information of the resource data service object as the service information of the resource data service object to be served.

In some embodiments, the creating a service tag for the service information of the resource data service object to be serviced according to the thread data and the configured data selection condition includes:

monitoring storage state information of the clue data set;

when the storage state information is successful, acquiring a batch processing task for creating the service label;

determining the resource data service object to be served and the service information of the resource data service object to be served according to clue data in the batch processing task;

and generating the service label for the service information of the resource data service object to be served according to the analyzed clue data in the batch processing task and the incidence relation between the data selection conditions corresponding to the analyzed clue data.

The present application further provides a data marking device, including:

the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a clue data set, the clue data set is a clue data set which is selected from a clue database for recording resource data service object information and meets a data selection condition, and the data selection condition is that a data selection strategy is configured according to the requirement for acquiring the resource data service object information;

the determining unit is used for determining the service information of the resource data service object to be served based on the clue data in the clue data set;

the creating unit is used for creating a service label for the service information of the resource data service object to be served according to the clue data and the configured data selection condition; wherein the service tag is feature data for describing the service information.

The present application also provides a data processing system, comprising: the system comprises a data configuration server, a data marking server and a data selection server;

the data configuration server configures data selection conditions according to the requirements for acquiring the resource data service object information; the data selection server side selects a clue data set meeting the data selection condition from a clue database recording the resource data service object information according to the data selection condition configured by the data configuration server side, wherein the clue data set comprises clue data describing the resource data service object information meeting the data selection condition; and the data marking server side creates a service label for the service information of the resource data service object to be served according to the clue data and the configured data selection condition, wherein the service label is characteristic data for describing the service information.

In some embodiments, the data configuration server configures a data selection condition according to a requirement for obtaining resource data service object information, including:

and the data configuration server configures data selection conditions according to the requirement of acquiring the resource data service object information which has a relationship with the resource data service platform.

In some embodiments, further comprising: and the batch processing server acquires the clue data in the clue data set based on the state information of successful storage of the data marking server according to the monitored clue data set, generates a batch processing task for creating the service label according to the clue data, and sends the batch processing task to the data marking server.

The application also provides a computer storage medium for storing the data generated by the network platform and a program for processing the data generated by the network platform;

when the program is read and executed by the processor, the program performs the following steps:

according to the clue data in the clue data set and the configured data selection conditions, creating a service tag for the service information of the resource data service object to be served, which is determined based on the clue data; wherein the service tag is characteristic data for describing the service information;

or, the following steps are executed:

The present application further provides an electronic device, comprising:

a processor;

a memory for storing a program for processing network platform generated data, said program when read and executed by said processor performing the steps of:

or, the following steps are executed:

obtaining a clue data set, wherein the clue data set is a clue data set which is selected from a clue database for recording resource data service object information and meets data selection conditions, and the data selection conditions are data selection rules configured according to the requirements for obtaining the resource data service object information;

Compared with the prior art, the method has the following advantages:

according to the data processing method, the data selection condition is configured according to the requirement for acquiring the resource data service object information. And selecting a clue data set meeting the data selection condition from a clue database for recording the resource data service object information. Then, according to the clue data in the clue data set and the configured data selection conditions, creating a service tag for the service information of the resource data service object to be served, which is determined based on the clue data; therefore, the original manual marking can be changed into automatic marking, so that the service label created aiming at the service information of the resource data service object to be served is more accurate, the service label can be adjusted in real time along with the change of the data selection condition, and the subsequent service provision for the resource data service object has more pertinence.

Drawings

FIG. 1 is a flow chart of an embodiment of a data processing method provided herein;

FIG. 2 is a schematic structural diagram of an embodiment of a data processing apparatus provided in the present application;

FIG. 3 is a block diagram of an embodiment of a data processing system according to the present application

FIG. 4 is a timing diagram of one embodiment of a data processing system provided herein;

FIG. 5 is a flow chart of an embodiment of a data marking method provided herein;

fig. 6 is a schematic structural diagram of an embodiment of a data marking device provided in the present application.

Detailed Description

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is capable of implementation in many different ways than those herein set forth and of similar import by those skilled in the art without departing from the spirit of this application and is therefore not limited to the specific implementations disclosed below.

The terminology used in the description herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The description used in this application and in the appended claims is for example: the terms "a," "an," "first," and "second," etc., are not intended to be limiting in number or order, but rather are used to distinguish one type of information from another.

Based on the above description of the background art, in order to better understand the concept of the technical solution of the present application, before describing the specific embodiments of the present application, the generation of the technical solution of the present application is described in combination with a specific application scenario.

As can be seen from the field of life services, with the development of digital and intelligent technologies, online life services based on third-party service platforms are increasingly diversified, for example: online ordering, takeaway services, subscription services running legs services, and the like. It is self-evident that the online life service providing mode based on the third-party service platform brings huge life convenience for audience groups, and meanwhile, the other end based on the third-party service platform, namely the side of a merchant providing life service, also continuously floods the third-party service platform. The third-party service platform can provide a more effective management mode for the merchant side, and reduces the online management cost of the merchant side. In order to implement more accurate operation management service, different operation management service data need to be provided for different merchants, and it is important how to select a merchant side adapted to the operation management service from among a plurality of merchant sides. Therefore, the idea of the application is that a merchant matched with the operation management service provided by the platform side is found from a plurality of merchants, so that the operation management service more fitting the characteristics of the merchant is provided, the merchant side can provide more effective service resources through the third-party service platform, and the waste of the service resources and the system space is avoided.

Referring to fig. 1, fig. 1 is a flowchart of an embodiment of a data processing method provided in the present application, where the embodiment of the data processing method includes:

step S101: and configuring data selection conditions according to the requirements for acquiring the resource data service object information.

In this embodiment, the resource data service object information in step S101 may be understood as related information of online or offline merchants or stores, for example: an online virtual merchant or store, and an offline physical merchant or store. In this embodiment, since the scene mainly uses data services such as ordering and takeaway services, the resource data service object is mainly an offline physical merchant or store, because the online virtual merchant or store actually corresponds to the offline physical merchant or store.

The relevant information may be service information for the service provided by the merchant, service level information for the merchant, Id information for the merchant, address information, and the like.

The requirement for acquiring the resource data service object information can be understood as a requirement for acquiring relevant merchant information, namely, for performing refined services, further acquiring relevant merchant information so as to know one or more combinations of service data, merchant basic data and the like generated by merchant history and even currently provided services. For example: acquiring flow data of a merchant in a set period, and configuring merchant flow data requirements so as to select data; another example is: third-party service platform information associated with the merchant, service product data provided by the merchant, characteristic data of merchant service, merchant region expansion data and the like; and the data selection condition is a selection requirement for obtaining the data content of the corresponding requirement according to the requirement.

In general, the resource data service object information obtained in step S101 is the resource data service object information having an association with the resource data service platform, so that when obtaining the resource data service object information, the resource data service object information needs to be obtained based on the association between the resource data service object information and the resource data service platform, that is, when there is an association between the resource data service object information and the resource data service platform, a corresponding selection condition is configured according to a requirement for obtaining the resource data service object information. In this embodiment, the association relationship between the two may be a cooperation relationship between the resource data service object and the resource data service platform, that is, a cooperation relationship between the merchant and the third party service platform. The so-called partnerships may include: whether the merchant establishes an online virtual shop based on the third-party service platform, whether the merchant registers in the third-party service platform to become a registered member and the like.

Based on the above, it can be seen that, in this embodiment, in order to provide the targeted operation management service to the resource data service object, different information of the resource data service object needs to be acquired, that is, for the merchant a, the a-type information needs to be acquired, so that it is convenient to subsequently analyze and provide the a-type information operation management service data to the merchant. Therefore, step S101 of this embodiment may include one or more of the following requirements for configuring the data selection condition:

step S101-1: and configuring specified data selection conditions according to specified requirements in the acquired resource data service object information.

Step S101-2: and configuring basic data selection conditions according to the basic requirements in the acquired resource data service object information.

Step S101-3: and configuring the priority of the data selection condition according to the priority of the requirement for acquiring the resource data service object information.

The specified requirement in step S101-1 may be understood as explicitly setting resource data service object information that needs to have a requirement standard, for example: the method comprises the steps that merchants with service ratings of more than three levels, merchants with customer comment data of more than 300, merchants with orders of less than 300 sheets, merchants related to other third-party service platforms, merchants meeting GMV (Gross Merchandis Volume transaction total) set threshold values in a period and the like are configured according to the requirements, and data selection conditions can be configured to be one or more combinations of merchants with service ratings of more than three levels, merchants with customer comment data of more than 300, merchants with orders of less than 300 sheets and the like.

The basic requirement in the step S101-2 may be understood as a requirement for acquiring basic information of the resource data service object. For example: one or more combinations of merchant address information, merchant type information, merchant identification information, and the like.

The requirement priority in step S101-3 may be understood as that the acquired priority may be set for both the specified requirement and the basic requirement, for example: the priority of the customer comment data is greater than the priority of the order quantity, and the priority of the order quantity is greater than the priority of the service rating; the priority of the merchant type information is greater than that of the merchant identification information, and the priority of the merchant identification information is greater than that of the merchant address information. Therefore, the required information can be selected preferentially for subsequent selection through the configured priority.

The configuration of the data selection condition in step S101 is developed based on the requirement of obtaining the resource data service information, and different periods may have the same requirement or different requirements, so that the configured data selection condition is variable, and based on the change that the resource data service platform can provide services to the resource data service object, the configured data selection condition may also be adaptively modified and changed, that is, the configured data selection condition may be performed in real time according to the set configuration period, and the configuration operation may be automatically implemented based on the set period and the configuration requirement, or may be manually configured.

After the data selection condition is configured, data meeting the data selection condition needs to be acquired according to the data selection condition, and then step S102 needs to be executed, it should be noted that no specific sequential execution order division is needed between step S101 and step S102, because the configuration of step S101 may be configured in advance before step S102 is executed, or may be configured immediately when step S102 is executed, in other words, when step S102 is executed, the configured data selection condition is an implementation condition for executing step S102, and the execution order does not need to be limited.

Step S102: and selecting a clue data set meeting the data selection condition from a clue database recording the resource data service object information, wherein the clue data set comprises clue data describing the resource data service object information meeting the data selection condition.

The clue database in step S102 may be understood as a POI database, where POI is an abbreviation of Point of Information, which is an Information Point, and in the geographic Information system, a POI may be Information of a house, a shop, a mailbox, a bus station, and the like. In this embodiment, it mainly refers to a merchant store. In an embodiment, the POI database is a database storing a large amount of resource data service object information clues, where the resource data service objects stored in the POI database may be physical merchant store information, and may also include information of online virtual stores.

After the configured data selection condition is determined, a clue data set meeting the selection condition can be selected from the POI database, so that the clue data can be understood as reference data meeting the selection condition and capable of assisting the resource data service platform to subsequently improve the service conversion rate for the resource data service object through analysis of the clue data.

Because the resource data service object information recorded in the POI database is dynamically changed, the thread data in the thread data set selected according to the selection condition is also changed in real time, so that in order to ensure the effectiveness and accuracy of the selected data, the thread data set meeting the data selection condition can be selected from the thread database recording the resource data service object information according to a set selection cycle. The setting of the selection period may be a periodic mode of operation of t +1, i.e. triggering the selection once a day. Of course, the selection period may be set according to the requirement for obtaining the clue data. For example: the data selection condition is that the service ranks as more than three levels of merchants, then, the information of the merchants meeting the condition is automatically selected from the POI database, the information of the merchants meeting the condition is a clue data set, and the information of each merchant in the clue data set is clue data.

After a clue data set meeting the data selection condition is selected, the clue data set can be stored in a mode of blocking the clue data set in a text format to obtain block data; and storing the block data. In this embodiment, the data set may be stored to the cloud platform in clues.

It should be noted that the data selection condition in this embodiment may be a combination of multiple conditions, that is, the first data selection condition and the second data selection condition need to be satisfied when selecting the clue data, or may be a single selection condition.

Step S103: according to the clue data in the clue data set and the configured data selection conditions, creating a service tag for the service information of the resource data service object to be served, which is determined based on the clue data; wherein the service tag is feature data for describing the service information.

The service tag in step S103 may be understood as content describing merchant service information characteristics, including transaction attribute characteristic data of merchant service providing data and characteristic data of merchant basic data. In this embodiment, the creation of the service tag depends on the clue data and the configured data selection condition, that is, according to the clue data and the configured data selection condition, the service tag capable of describing the service information characteristics of the merchant is created for the service information of the merchant, and the service tag can be displayed on the terminal. The service information (transaction information) included by the merchant currently possessing the service tag can be known according to the service tag.

In this embodiment, when creating the service tag for the service information of the to-be-serviced resource data service object, it is necessary to determine the to-be-serviced resource data service object, i.e., the to-be-serviced merchant, from the thread data. The specific determination process may include:

extracting the service object information of the resource data according to the clue data;

and determining the resource data service object information as the resource data service object to be served.

The specific creation of the service tag may be based on extracting feature data of service information of merchant stores as the service tag, or may use a field in the data selection condition as the service tag. For example: the service tag may be a service level three or service samsung field or a transaction, etc. The service label can be displayed in an area associated with the information of the merchant store, and the area can be visually informed of the merchant store to which the service label belongs.

In order to create a service tag for a large amount of data, in this embodiment, a process of creating a service tag for service information of a resource data service object may be implemented in a batch processing manner. Therefore, the step S103 includes:

step S103-1: acquiring a batch processing task for creating the service tag according to the monitored information of successful storage of the clue data set;

step S103-2: determining the resource data service object to be served and the service information of the resource data service object to be served according to clue data in the batch processing task;

step S103-3: and generating the service label for the service information of the resource data service object to be served according to the incidence relation between the clue data and the configured data selection condition.

In the step S103-1, task contents such as file formats of thread data, batch processing task callback routes, and the like need to be configured. Step S103-2, analyzing the tasks in the batch processing task one by one, acquiring a field describing the resource data service object for the thread data, that is, a merchant store field, mapping the field to the resource data service object to be served, acquiring service information for the resource data service object to be served from the thread data, and then generating a service tag for the service information of the resource data service object to be served by an association relationship between the thread data and the configured data selection condition.

In order to further ensure the real-time performance and accuracy of the service tag and avoid the interference of the historical service tag, the specific implementation process of step S103 may include:

acquiring a historical service label of the resource data service object to be served;

if not, deleting the historical service tag to obtain an updated resource data service object to be served;

and creating a service label for the updated service information of the resource data service object to be served according to the clue data in the clue data set and the configured data selection condition.

That is to say, when creating a service tag for the service information of the resource data service object to be served, it needs to consider whether the existing service tag created by the service information of the resource data service object to be served can still meet the requirement of the current data selection condition, and if not, the existing service tag can be deleted, thereby ensuring that the service tag can be updated in real time along with the change of the data selection condition.

It will be appreciated that the service tag created for the service information may be stored in matching thread data.

The above is a description of an embodiment of the data processing method provided in the present application, and it can be understood from the above description that, for the embodiment of the data processing method, a development description is made of a specific implementation mainly based on configuration of data selection conditions, selection of a hint data set, and creation of a service tag, and therefore, the embodiment can be understood as describing a process of creating a service tag from multiple angles. Accordingly, the present application may also provide a data processing apparatus, and the content of the embodiment of the apparatus may refer to the description of the above data processing method embodiment, so that the description is only schematic.

As shown in fig. 2, fig. 2 is a schematic structural diagram of an embodiment of a data processing apparatus provided in the present application, where the embodiment of the apparatus includes:

the configuration module 201 is configured to configure a data selection condition according to a requirement for acquiring resource data service object information.

The configuration module 201 may be specifically configured to configure a data selection condition according to a requirement for obtaining the resource data service object information having a relationship with the resource data service platform.

In this embodiment, the configuration module 201 may include: at least one of the specified data selection condition configuration subunit, the basic data selection condition configuration subunit and the priority data selection condition configuration subunit.

And the specified data selection condition configuration subunit is used for performing specified data selection condition configuration according to the specified requirement in the resource data service object information.

And the basic data selection condition configuration subunit is used for performing basic data selection condition configuration according to the basic requirement in the resource data service object information.

And the priority data selection condition configuration subunit is used for performing priority configuration on the data selection condition according to the priority of the requirement for acquiring the resource data service object information. The priority data selection configuration subunit here may perform priority configuration on the designated data configured by the designated data selection condition configuration subunit, or perform priority configuration on the basic data configured by the basic data selection condition configuration subunit.

For configuration of the data selection condition, reference may be specifically made to the description of step S101 in the foregoing data processing method embodiment, and details are not repeated here.

A selecting module 202, configured to select, from a thread database in which the resource data service object information is recorded, a thread data set that satisfies the data selecting condition, where the thread data set includes thread data describing the resource data service object information that satisfies the data selecting condition.

The selecting module 202 may include: the system comprises a selection period configuration subunit and a selection subunit, wherein the selection period configuration subunit is used for configuring a selection period, namely a time range, of the trigger configuration data selection condition configuration. And the selecting subunit is used for selecting a clue data set meeting the data selecting condition from a clue database recording the resource data service object information according to the selecting period configured by the selecting period configuration subunit.

In order to create a service tag for the thread data in the selected thread data set, this embodiment may further include:

and storing the selected clue data set meeting the data selection condition.

In this embodiment, the specific implementation manner of the storage may include:

and storing the block data.

For one merchant, the clue data may include more information, and the clue data satisfying the data selection condition may include information of a plurality of merchants, so that the clue data of each merchant may be processed in a text format in a block manner so as to be read and written.

A creating module 203, configured to create a service tag for the service information of the resource data service object to be served determined based on the thread data according to the thread data in the thread data set and the configured data selection condition; wherein the service tag is feature data for describing the service information.

In this embodiment, the creating module 203 may include:

the acquisition subunit is configured to acquire a batch processing task for creating the service tag according to the monitored storage success information of the thread data set;

the mapping subunit is used for mapping the clue data in the batch processing task to the resource data service object to be served;

and the production subunit is used for generating the service label for the service information of the resource data service object to be served according to the incidence relation between the clue data and the configured data selection condition.

The creating module 203 may further include:

the label obtaining subunit is used for obtaining a historical service label of the resource data service object to be served;

the determining subunit is configured to determine whether the historical service tag meets the configured data selection condition requirement according to the clue data;

the deleting subunit is used for deleting the historical service label according to the condition that the determination result in the determining subunit is not satisfied, and obtaining the updated resource data service object to be served;

and the creating subunit is used for creating a service label for the updated service information of the resource data service object to be served according to the clue data in the clue data set and the configured data selection condition.

The creating module 203 may further include:

and the tag storage subunit is used for storing the service tag created by the service information of the resource data object to be served into the clue data matched with the resource data object to be served in the clue database.

In combination with a specific application scenario, the resource data service object is a merchant, and the resource data service object to be serviced is a merchant to be provided with a service, that is, a service that can be accepted by the merchant.

The above is a description of a specific embodiment of the data processing apparatus provided in the present application, and the description content is relatively brief, and the specific content refers to steps S101 to S103 of the above method embodiment, and is not repeated herein.

In conjunction with the above, the present application further provides a data processing system, as shown in fig. 3, the system embodiment includes: the system comprises a data configuration server 301, a data selection server 302 and a data marking server 303.

The data configuration server configures data selection conditions according to the requirements for acquiring the resource data service object information; the data selection server side selects a clue data set meeting the data selection condition from a clue database recording the resource data service object information according to the data selection condition configured by the data configuration server side, wherein the clue data set comprises clue data describing the resource data service object information meeting the data selection condition; and the data marking server determines a resource data service object to be served according to clue data in the clue data set, and creates a service label for service information of the resource data service object to be served according to the clue data and the configured data selection condition, wherein the service label is characteristic data for describing the service information.

It can be understood that, when configuring the data selection condition, the configuration operation may be performed based on an association relationship between the resource data service platform and the resource data service object, that is, the configuration of the data selection condition is performed under the condition that the resource data service platform and the resource data service object have an association relationship. In this embodiment, the association relationship may be, in combination with a specific application scenario, a cooperative relationship between a resource data service object (merchant) and a resource data service platform (third-party service platform). The so-called partnerships may include: whether the merchant establishes an online virtual shop based on the third-party service platform, whether the merchant registers in the third-party service platform to become a registered member and the like. For specific content of the data configuration server, reference may be made to the description of step S101, and details are not repeated here.

In the embodiment, the clue database can be understood as a POI database, and the POI is an abbreviation of Point of Information and is an Information Point. In this embodiment, the information mainly refers to the relevant information of the merchant store. In an embodiment, the POI database is a database storing a large amount of clues of information related to resource data service objects, where the resource data service objects stored in the POI database may be related to stores of physical merchants, and may also include related information of online virtual stores, where the related information includes: store name, service content, etc.

After a clue data set meeting the data selection condition is selected, the clue data set can be stored in a mode of blocking the clue data set in a text format to obtain block data; and storing the block data. In this embodiment, the data set may be stored to the cloud platform in clues. Of course, the selected clue data set meeting the data selection condition can be directly sent to the data marking server.

When the data marking service end creates a service label for the service information of the resource data service object to be served, namely a merchant to be served, needs to be determined from the clue data. The specific determination process may include:

For specific content of the data marking server, reference may be made to the description of step S103, which is not repeated herein.

For a better understanding of the data processing system embodiment, please refer to FIG. 4 in conjunction with FIG. 3, and FIG. 4 is a timing diagram of the data processing system embodiment provided herein. As shown in fig. 4, the user end triggers the selection of the cue data according to the configured selection period, and certainly, the user end needs to configure the data selection condition during or before the selection, that is, the user end configures the data selection condition. And then, performing clue data selection in the POI clue database according to the data selection conditions to obtain a clue data set, and storing the clue data set to the cloud. The data marking server monitors storage state information of the clue data set, when successful information is monitored, the batch processing server is triggered to acquire the clue data set from the cloud end, batch processing tasks used for creating the service labels are generated, the analyzed batch processing tasks are sent to the data marking server one by one, and the data marking server creates the service labels according to the received clue data. Wherein, the batch processing server can comprise: the system comprises a transaction function module, a background management function module and a basic function module. Firstly, task configuration is carried out in the background management module, and task instance information including the file format of POI clue data, the routing of the clue data called back to the data marking server side and the like is configured. After the task instance is configured, the thread data file can be analyzed into detail fields one by one, and a corresponding interface of the data marking server is called back, and the data marking server can also query corresponding thread data through a task in the transaction function module, or generate a monitoring batch processing task through a processing report generating submodule. And the submodules of task scheduling, task current limiting, task retry and the like in the basic function module can effectively ensure the reliability of batch processing tasks for creating the service label.

Based on the above description, the present application also provides a data marking method, please refer to fig. 5, where fig. 5 is a flowchart of an embodiment of the data marking method provided in the present application, and the embodiment is mainly described in terms of creating a service label, and includes:

step S501: and acquiring a clue data set, wherein the clue data set is a clue data set which is selected from a clue database for recording resource data service object information and meets a data selection condition, and the data selection condition is a data selection strategy configured according to the requirement for acquiring the resource data service object information. The resource data service object information includes: the resource data object and the related service information provided by the resource data object.

With regard to step S501, reference may be made to step S102 in the above data processing method embodiment, that is, in the thread database recording the resource data service object information, a thread data set satisfying the data selection condition is selected, so as to obtain the thread data set. A thread data set may include a plurality of thread data, each thread data describing relevant information for a resource data service object.

Step S502: and determining a resource data service object to be served based on the clue data in the clue data set.

The specific purpose of step S502 is to extract a field describing a resource data service object from the thread data, and determine a resource data service object to be serviced according to the field, and for the specific content of step S502, reference may be made to the description of step S103, which is not described herein again.

Step S503: creating a service tag for the service information of the resource data service object to be served according to the clue data and the configured data selection condition; the service tag is feature data used for describing the service information, and otherwise, the feature data describes service information which can be provided by the resource data service object to be served.

The specific creation of the service tag in step S503 may be based on extracting the service information of the merchant store and extracting a field in the data selection condition, and mapping the field to the service information of the merchant store. Of course, it is understood that in this embodiment, the resource data service object is a merchant store, and in other embodiments, the resource data service object may also be a customer or other subject according to actual demand. The service tag may be a service tag based on service information of a merchant store or may be a service tag based on a customer. The mapping mode can bind a field with the service information of the merchant store, wherein the field is characteristic data used for describing the service information provided by the merchant store. For example: the service tag may be a field of three-class service or three-star service. The service label can be displayed in an area where the associated merchant stores show service information, and the area can be visually informed of the merchant stores to which the service label belongs, so that the service information can be provided by the merchant stores. Specific contents may refer to the description of step S103 described above. In this embodiment, the service information of the merchant store may be understood as a kind of business opportunity.

Likewise, in order to create a service tag for a large amount of data, in this embodiment, the process of creating a service tag for a resource data service object may be implemented in a batch manner. That is, the step S503 may include:

monitoring storage state information of the clue data set;

The above is a summary description of an embodiment of a data marking method provided in the present application, and accordingly, the present application also provides a data marking device, as shown in fig. 6, the embodiment of the data marking device corresponds to the embodiment of the data marking method, and is the same as the service label creating process in the data processing method, so that reference can be made to the embodiment of the data processing method in both the embodiment of the data marking method and the embodiment of the data marking device.

As shown in fig. 6, the data marking device according to the embodiment of the present application includes:

an obtaining unit 601, configured to obtain a thread data set, where the thread data set is a thread data set that is selected in a thread database that records resource data service object information and meets a data selection condition, and the data selection condition is to configure a data selection policy according to a requirement for obtaining the resource data service object information;

a determining unit 602, configured to determine a resource data service object to be serviced and service information of the resource data service object to be serviced based on the thread data in the thread data set;

the determining unit 602 includes: the extraction subunit is used for extracting the resource data service object information according to the clue data. The determining subunit is configured to determine the resource data service object information as the resource data service object to be served.

A creating unit 603, configured to create a service tag for the service information of the resource data service object to be serviced according to the thread data and the configured data selection condition; wherein the service tag is feature data for describing the service information.

The creating unit 603 includes: the device comprises a monitoring subunit, an acquisition subunit, a determination subunit and a generation subunit.

The monitoring subunit is configured to monitor storage state information of the cue data set;

the acquiring subunit is configured to acquire a batch processing task for creating the service tag when the storage status information is successful;

the determining subunit is configured to determine the resource data service object to be served and service information of the resource data service object to be served according to the thread data in the batch processing task;

the generating subunit is configured to generate the service tag for the service information of the resource data service object to be served according to the analyzed thread data in the batch processing task and an association relationship between the data selection conditions corresponding to the analyzed thread data.

The above is a summary description of an embodiment of a data marking device provided in the present application, and for specific content, reference is made to the above data processing method embodiment.

Based on the above, the present application further provides a computer storage medium for storing data generated by a network platform and a program for processing the data generated by the network platform;

or, the following steps are executed:

Based on the above, the present application further provides an electronic device, including:

a processor;

or, the following steps are executed:

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

1. Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.

2. As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application, therefore, the scope of the present application should be determined by the claims that follow.

Claims

1. A data processing method, comprising:

2. The data processing method of claim 1, wherein the configuring the data selection condition according to the requirement for obtaining the resource data service object information comprises:

3. The data processing method of claim 1, wherein the configuring the data selection condition according to the requirement for obtaining the resource data service object information comprises:

4. The data processing method of claim 1, wherein the configuring the data selection condition according to the requirement for obtaining the resource data service object information comprises:

5. A data processing apparatus, comprising:

6. A method of data marking, comprising:

7. A data marking device, comprising:

8. A data processing system, comprising: the system comprises a data configuration server, a data marking server and a data selection server;

9. A computer storage medium for storing network platform generated data and a program for processing the network platform generated data;

or, the following steps are executed:

10. An electronic device, comprising:

a processor;

or, the following steps are executed: