CN111291247A

CN111291247A - Data service providing method, device and equipment

Info

Publication number: CN111291247A
Application number: CN202010066208.9A
Authority: CN
Inventors: 胡锦华
Original assignee: Alipay Hangzhou Information Technology Co Ltd
Current assignee: Alipay Hangzhou Information Technology Co Ltd
Priority date: 2020-01-20
Filing date: 2020-01-20
Publication date: 2020-06-16

Abstract

The embodiment of the specification discloses a data service providing method, a data service providing device and data service providing equipment. The scheme comprises the following steps: receiving data type information submitted by a first server of a data demander, wherein the data type information is used for representing the type of data required by the data demander; retrieving data provider information representing information that supports a data provider that provides the type of data; sending the data provider information to the first server; receiving information of a target data provider for providing the type of data, which is determined by the first server from the data provider information; generating identification information according to the information of the first server and the target data provider, wherein the identification information is used for representing the mapping relation between the data demander and the target data provider providing the type of data; and sending the identification information to the first server.

Description

Data service providing method, device and equipment

Technical Field

The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, and a device for providing data services.

Background

In the prior art, risk control is increasingly important for some industries, such as transactions, credits, and the like. Thus, for these industries, it is a trend to deploy wind-controlled engines. While risk control requires accurate data information, for various reasons, industry software or programs themselves cannot provide data that meets the accuracy of the data, resulting in less than ideal risk control. In order to solve the above problems, a data demander (i.e., industry software or program) may cooperate with a data provider to provide high-precision data. The programs of the data demander often need to be reprogrammed and developed to complete the interfacing with the data provider, which undoubtedly reduces the access efficiency of the data demander and the data provider.

There is a need for an access scheme that provides more efficient access to data consumers and data providers.

Disclosure of Invention

In view of this, embodiments of the present application provide a data service providing method, apparatus, and device, which are used to improve access efficiency of a data demander and a data provider.

In order to solve the above technical problem, the embodiments of the present specification are implemented as follows:

the data service providing method provided by the embodiment of the specification comprises the following steps:

receiving data type information submitted by a first server of a data demander, wherein the data type information is used for representing the type of data required by the data demander;

retrieving data provider information representing information that supports a data provider that provides the type of data;

sending the data provider information to the first server;

receiving information of a target data provider for providing the type of data, which is determined by the first server from the data provider information;

generating identification information according to the information of the first server and the target data provider, wherein the identification information is used for representing the mapping relation between the data demander and the target data provider providing the type of data;

and sending the identification information to the first server.

An embodiment of this specification provides a data service providing device, including:

the data type information receiving module is used for receiving data type information submitted by a first server of a data demander, wherein the data type information is used for representing the type of data required by the data demander;

the data provider information calling module is used for calling data provider information, and the data provider information is used for indicating information of a data provider which supports providing the type of data;

a data provider information sending module, configured to send the data provider information to the first server;

a target data provider information receiving module, configured to receive information of a target data provider determined by the first server from the data provider information, for providing the type of data;

an identification information generating module, configured to generate identification information according to information of the first server and the target data provider, where the identification information is used to indicate a mapping relationship between the data demander and the target data provider that provides the type of data;

and the identification information sending module is used for sending the identification information to the first server.

An embodiment of the present specification provides a data service providing apparatus, including:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to:

sending the data provider information to the first server;

and sending the identification information to the first server.

Embodiments of the present specification provide a computer readable medium, on which computer readable instructions are stored, the computer readable instructions being executable by a processor to implement the data service providing method.

The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:

by the method, the data platform is already in butt joint with the plurality of data providers, the data demander only needs to generate the identification information of the data providers through the data platform, and can finish the butt joint with the data providers through the identification information.

In addition, the data platform provides a plurality of data providers for the data demanders to select, so that the selection range of the data demanders is greatly increased, the service clients of the data providers are expanded, and the resource utilization rate is greatly improved.

Drawings

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

fig. 1 is a schematic view of an application scenario of a data service providing method provided in an embodiment of the present specification;

fig. 2 is a schematic flowchart of a data service providing method provided in an embodiment of the present disclosure;

fig. 3 is a flowchart of a service request processing method provided in an embodiment of the present specification;

FIG. 4 is a flowchart illustrating interfacing between a data platform and a data provider system according to an embodiment of the present disclosure;

fig. 5 is a schematic structural diagram of a data service providing device corresponding to fig. 2 provided in an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of a data service providing device corresponding to fig. 2 provided in an embodiment of the present specification.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the 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.

The wind control engine has a very big problem when the market falls into the ground, and industrial customers (such as banks and credit agencies) buy the wind control engine, but the customers cannot provide high-quality data (such as map data and IP data) for the wind control engine due to self reasons, so that risk wind control is not ideal. And some companies are specially used for providing high-quality data services, and if the data services provided by the companies are adopted, customers who purchase the wind control engine can obtain the high-quality data services, so that the wind control effect is improved.

In order to complete the interface with the data provider, the data demander such as a bank needs to develop the program again frequently, and the interface with the server of the data provider is completed. However, the development time of the independent program is too long, and the intervention efficiency of the data demander and the data provider is affected. Further, since some data provider information may not be available due to the limitation of the data provider's own information acquisition channel, the data provider is also relatively narrow in terms of selection.

In order to solve the above technical problem, an embodiment of the present specification provides a data platform, where the data platform includes a plurality of data providers that have already established connections, a data demander only needs to select a required data provider on the data platform and then establish a contract, and the data demander only needs to complete communication configuration with the data platform, and can complete docking with the data provider through the data platform. The method avoids the program development step of the data demander and improves the docking efficiency of the data demander and the data provider.

The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.

Fig. 1 is a schematic view of an application scenario of a data service providing method provided in an embodiment of the present disclosure, as shown in fig. 1, including a data platform 11, a plurality of data providers 12, and a plurality of data consumers 13. The data platform 11 is connected with a plurality of data providers 12 respectively, when a data demander 13 needs data services, the data providers 12 are selected on the data platform 11 according to different data types, and then the data platform 11 generates unique identification information according to the data providers selected by the data demander 12 and sends the unique identification information to the data demander 13. And the data demander 13 performs system setting according to the identification information to complete the butt joint with the data platform.

The data platform 11 provides a bridge for the data demander 13 and the data provider 12, and also provides high-quality data for the wind control engine of the data demander, so that the problem of poor data quality is solved. Meanwhile, the scheme also solves the problems that a data demand party is difficult to find a data provider and a data provider is difficult to find a data demand party.

The data platform 11 is isolated for each data provider 12, and a plurality of data providers 12 do not affect each other.

The data platform 11 does not store the data provided by the data provider 12, but only stores the relevant configuration information (e.g., service address, authentication information) of the data provider 12.

The data platform 11 provides a platform for selecting a data provider for the data demander 13, and the data demander 13 can select a needed supplier and distributor, and then the online signing agreement can be immediately used without software development.

In addition, when the data provider 12 interfaces with the data platform 11, software development is only needed once, and configuration is only needed once, and no repeated development and configuration is needed no matter how many data demanders 13 perform data services.

Fig. 2 is a flowchart illustrating a data service providing method according to an embodiment of the present disclosure. From a procedural perspective, the main execution body of the flow diagram of fig. 2 is a data platform.

As shown in fig. 2, the process may include the following steps:

step 202: receiving data type information submitted by a first server of a data demand party; the data type information is used for representing the type of the data required by the data demander.

The data demand side can be software, programs or applications APP, such as bank APP, WeChat APP and the like. The server of the data demand side can remotely access a public cloud of the data platform, such as a website and the like.

The data platform comprises a plurality of data provider information, and different data providers can provide the same type of data and can also provide a plurality of types of data. Moreover, the data type of the data required by the data demander is often certain, so that the data platform can classify the data provider according to the data type. In this way, the data demander can select the corresponding data provider according to the required data type.

The data types can be diverse and can be continuously adjusted as data providers increase. In particular, the data types may include an IP portrait type, a cell phone portrait type, a map portrait type, and/or a national administrative area portrait type. If a data provider can determine a specific location, such as province, city, district, etc., based on the latitude and longitude coordinates, the type of data provided by the data provider is a map representation type.

The data type information can be input as a result of selection by the data demander according to a data type list displayed on a webpage by the data platform, or can be input by the data demander.

If the data demand side is an application APP, the server side interacting with the data platform is the application APP. The term "first" in "first server" is not used in a specific sense, and is used to distinguish from "second server" hereinafter.

Step 204: and calling data provider information, wherein the data provider information is used for representing information of a data provider supporting providing the type of data.

The data provider information may include information of one or more data providers, and one data provider information may further include a data rating, a data price, and the like.

The information of each data provider comprises a data type, so that the data platform can search the data providers according to the data type to obtain the data providers which support to provide the data of the data type.

When the data platform stores the data providers, the data providers can correspondingly store the data according to the data types, so that the data providers which support the data providing the data types are directly determined according to the data types.

It should be noted that one data provider may provide a plurality of different data services, and the plurality of different data services may provide data of the same data type or data of different data types.

Step 206: sending the data provider information to the first server.

The data provider information may be sent in various ways, and the information content may be directly sent to the first server, and the first server receives the information. The information of the data provider can be displayed on a display screen, and the information can be seen by the personnel corresponding to the data demander.

Step 208: receiving information of a target data provider for providing the type of data, which is determined by the first server from the data provider information.

And the data demander selects one data provider from the data provider information as a target data provider according to the own needs.

Step 210: and generating identification information according to the information of the first server and the target data provider, wherein the identification information is used for representing the mapping relation between the data demand side and the target data provider providing the type of data.

After a data demander selects a data provider, a data platform acquires information of the data provider, and then generates identification information according to the data demander and the data provider, wherein the identification information is used for identifying the mapping relationship between the data demander and the data provider.

Wherein the identification information is unique for the same data demander and data provider. The identification information may be represented by a character string. Meanwhile, the data platform stores the identification information and the corresponding relation between the data demand side and the data supply side so as to be convenient for inquiring.

Step 212: and sending the identification information to the first server.

After receiving the identification information, the data demander needs to perform interface configuration on its own server. The interface is configured to communicate with a data platform based on the identification information.

In some specific application scenarios, the data demander needs data provided by the data provider to be used for risk control, so a wind control engine can be deployed at the server end of the data demander and then communicated with the data platform. The identification information can then be deployed on the interface of the data service of the wind control engine.

If the data required by the data demand side is not used for risk control or the server of the data demand side is provided with a wind control strategy, a communication interface can be developed at the server side for communication with the data platform. Because the identification information needs to be deployed on the communication interface, the data demander can communicate with the data platform only if the identification information is deployed.

In the method in fig. 2, the data platform is already docked with a plurality of data providers, the data demander can complete docking with the data providers only by generating the identification information with the data providers through the data platform and by using the identification information, and the method does not need to reprogram and develop the data demander, thereby saving docking time with the data providers and improving docking efficiency.

Based on the method of fig. 2, the embodiments of the present specification also provide some specific implementations of the method, which are described below.

In order to provide more reference information for a data demander, the data provider information comprises a data grade;

prior to the invoking of the data provider information, the method further comprises:

analyzing data provided by a data provider;

and determining the data grade of the data provided by the data provider according to the analysis result.

In one or more embodiments of the present description, since some data demanded by the data demanded party is used for risk control, the data provider information provided by the present embodiment to the data demanded party may include a data rank of the data provided by the data provider, the data rank being used to indicate a precision rank of the data provided by the data provider, and the higher the data rank is, the higher the precision of the data is. The data demander may select the data provider based on the data rating of the data provided by the data provider.

In addition, the speed of data processing by the data provider sometimes affects the business processing of the data demander, and therefore, the processing speed of the data provider can also be a factor in ranking the data level of data provided by one data provider.

For determining the data grade of the data provided by the data provider, the data platform may analyze the data provided by the data provider by using a preset policy, and determine the grade according to the analysis result. Multiple sample data may be used to test a data provider and then analyze the test results.

The data platform may test data provided by a data provider by using a data sample of the data platform, specifically, analyzing the data provided by the data provider may specifically include:

determining a sample set according to the type of data provided by a data provider, wherein the sample set comprises a plurality of samples;

obtaining a first sample description data set corresponding to the sample set, wherein the first sample description data set comprises description data of a plurality of samples;

acquiring a processing result of the data provider for processing the sample set to obtain a second sample description data set corresponding to the sample set;

and determining the data grade of the data provided by the data provider according to the first sample description data set and the second sample description data set.

In one or more embodiments of the present description, different sample data is employed for testing for providing different types of data. That is, at least one sample data set may be employed for testing any data type of an ip portrait type, a cell phone portrait type, a map portrait type, or a national administrative area portrait type. The data platform can set a scoring strategy according to the data type definition, the strategy runs on a public cloud, and the strategy is only open to a platform administrator and not open to a data provider.

The description data may be a result of processing sample data, taking the data type as a map portrait type as an example, the sample data is latitude and longitude coordinates, the description data is a location address of the latitude and longitude coordinates, and the location address may be a city as an example. Then, the sample data 1 is (longitude, latitude), and the description data of the sample data 1 is beijing. And sending the sample data 1 to a data provider for processing, then acquiring a processing result aiming at the sample data 1, and then judging whether the processing result is consistent with the description data. If the processing result is also beijing, the data provider is said to pass the processing of the sample data 1, and if the processing result is not beijing, the data provider is said to fail the processing of the sample data 1. The data rank is then determined based on the number of passes and the number of fails.

For example, the following policy may be set: if the number of passes accounts for more than 90% of the total number, the data grade is excellent; if the number of the passes accounts for more than 80% and less than 90% of the total number, the data grade is good; if the number of passes is 60% or more and 80% or less of the total number, the data rank is passed, and if the number of passes is 60% or less of the total number, the data rank is failed.

For the wind control scene, the description data may also be a result of performing wind control according to sample data, that is, performing wind control by using a processing result for the sample data provided by a data provider, and the risk control result is: pass, reject and pending. For example, test template data is constructed, and template data of each quantile is defined, such as 60 quantiles (pass), 80 quantiles (good), and 90 quantiles (excellent). For example, the image of the administrative region of the country of the login address is used as the allocation index, for example, 1000 pieces of sample data include 10 rejects, 100 pending and 890 passes.

For example, an M data provider is adopted to perform data processing on the 1000 sample data respectively, then the data processing result is input into a self-set prevention and control strategy on a data platform, and then a final result is output. If more than 6 rejected use cases are found to be smaller than 8 rejected use cases, and more than 60 pending use cases are found to be smaller than 80 pending use cases, it can be determined that the data provided by the M data provider is 60 quantiles. If 8 rejected use cases, more than 80 pending use cases and less than 90 pending use cases are found, it can be determined that the data provided by the M data provider is 80 quantiles. If more than 8 rejected use cases and more than 90 pending use cases are found, the data provided by the M data provider can be determined to be 90 quantiles.

If the data demander has a question about the template data provided by the data platform, the template data can be defined and allocated according to the bits. And then testing the data provided by the data provider by uploading the sample plate data of the data provider, and then selecting the data provider according to the configured quantiles.

In addition, the data provider can construct template data based on event types, and test the data of the data provider to improve the data quality. The event type may be a picture of a national administrative region in which a registered address is used as raw data, or may be a map picture in which the same account is registered at different addresses in a short time. That is, one template data may be one data or a plurality of data consisting of a plurality of data.

After the first server of the data demand party acquires the identification information, the first server may complete interfacing with the data provider according to the identification information, so as to obtain the desired data, and specifically, the method may further include:

receiving data processing request information sent by the first server, wherein the data processing request information at least comprises user behavior data and the identification information;

determining a target data provider of the data processing request information according to the identification information;

sending the user behavior data to a second server of the target data provider for processing;

and after receiving a processing result for the user behavior data returned by the second server, sending the processing result to the first server.

As shown in fig. 3, after receiving user behavior data sent by a client, a first server of a data demander sends the user behavior data to a data platform, where the data demander can understand that a certain application APP is an application APP, and a user is a registered user of the application APP. The user behavior data can be latitude and longitude information of a login address of the user, login IP information and the like. The information sent to the data platform by the data demander comprises identification information in addition to the user behavior data.

After the data platform acquires the user behavior data and the identification information sent by the data demander, firstly, target data provider information corresponding to the identification information is inquired according to the identification information, and then the user behavior data is sent to the target data provider for data processing.

In addition, before sending the user behavior data to the data provider, the data platform can also judge whether the user information meets the specification according to the data type corresponding to the data provider, and if the user behavior data meets the specification, the data platform sends the user behavior data to the data provider.

The sending the user behavior data to the second server of the target data provider for processing may specifically include:

determining a communication interface for communicating with the target data provider;

and calling the communication interface to send the user behavior data to a second server of the target data provider.

The preset communication interface can be adopted to transmit the user behavior data to the data provider. Each data provider sets up a communication interface when interfacing with the data platform. Therefore, the data platform can send the user behavior data to the data provider through the preset communication interface.

And after receiving all the user behavior data, the data provider processes the user behavior data and then sends the data processing result to the data platform through the communication interface. The data platform returns the processing result to the data demand side according to the original path, thereby completing the data service.

In one or more implementations of this specification, before receiving the data type information submitted by the first server of the data demander, the method may further include:

acquiring registration information submitted by a data provider;

and verifying the registration information, and establishing connection with a server of the data provider when the verification is passed.

As shown in fig. 4, if a data provider wants to provide data services on a data platform, the data provider needs to register on the data platform and submit registration information. The data provider can access the data platform through a public cloud (website), then select registration and fill in registration information according to requirements. The registration information may include data categories, service information, and business information; the service information may include a data supply price, and the business information may include company information of a data provider.

And the data platform acquires the registration information provided by the data provider, verifies the registration information, and sends an approval passing notice if the verification is passed. And after receiving the approved information, the data provider can complete system docking with the data platform on line and then debug. And after debugging is correct, the data is released on the data platform for the data demander to select. The data platform and the data provider are in system butt joint, communication interfaces of the data platform and the data provider need to be arranged, and data communication between the data platform and the data provider can be completed through the communication interfaces. It should be noted that all data providers need to register and interface with the data platform.

In addition, the data platform may store the data processing result in a short time, and when the data demander sends the same data processing request, the data platform may directly send the data processing result to the data demander, and does not need to send the data processing request to the data provider again for processing, which saves processing time and improves processing efficiency, and specifically, after the processing result is sent to the first server, the method may further include:

storing the data processing request information and the processing result, and recording the storage time;

and when the storage time is greater than a preset threshold value, if the data processing request information sent by the first server is received again, sending the processing result to the first server.

In addition, when a data processing result is stored for a preset time, the data processing result needs to be deleted, so that the data platform only provides services without storing user data, and the safety is improved. Specifically, when judging whether the storage time is greater than a preset threshold value, obtaining a judgment result; and when the judgment result is yes, deleting the data processing request information and the processing result.

In some specific scenarios, the data provider information may further include a service price, and after receiving target data provider information for providing the type of data, which is determined by the first server from the data provider information, the method further includes: and generating a service contract of the first server and the target data provider according to the service price.

Because the service contract is generated, the payment prompt information needs to be generated according to the service contract and the service composition after the data provider completes the data service, and is sent to the first server of the data demand party so as to prompt the data demand party to complete the payment operation according to the prompt information.

The data provider may provide a variety of payment methods, two of which are described below:

the payment method is as follows: the service price is calculated on a fixed periodic basis, i.e. on a periodic basis, in such a way that it is not charged for the number of transactions of the actual service, but only for a fixed period of time. Therefore, the method is suitable for the data demand side with larger information processing amount.

And (2) payment method II: charging on a per-pass basis, i.e. processing a service processing request for a fixed fee. This method is suitable for the data demander with small service requirement.

For payment method one, after the sending the processing result to the first server, the method may further include:

determining a payment period and a service price according to the service contract;

generating payment prompt information according to the payment period and the service price, wherein the payment prompt information at least comprises the price due by the data demand party;

and sending the payment prompt message to the first server within a preset time.

The payment period may be a payment period agreed upon by the data demander and the data provider, and the data provider charges a fixed fee or service price for a fixed period, for example monthly, so that the payment period may be a multiple of a real month, i.e. may be charged by one month, two months, one quarter, half a year or one year. The data platform can use the signing date of the service contract or the time when the data demander first sends the service processing request as the service starting time. And then, counting from the service starting time to the end of the appointed payment period, generating payment prompt information, and sending a first server of the data demand party to remind the data demand party of paying.

The payment advice message may include a payment deadline in addition to the total payment price. Wherein the payment deadline can be determined based on an agreement in the service contract. It is assumed that the service contract agreed to complete payment on day n of the bill generation day, otherwise a late fee needs to be paid. The payment advice message may also include "please complete payment before XX days of month XX", where XX day of month XX is "bill generation day + n".

In order to achieve a higher payment success rate, after the data platform sends the payment prompt message, the data platform can continue to send the payment prompt message until the data demand party completes payment before determining that the data demand party does not complete payment.

For the second payment method, after the sending the processing result to the first server, the method may further include:

Because the second payment method is to charge according to the number, but the service contract also has to agree on the payment period, such as monthly payment, or seasonal and annual payment. The payment price is the processing price of each service request. In this payment method, it is also necessary to count the number of pieces of information of the data processing request information, determine the price due to the data demander based on the number of pieces of information and the service price, and send the price to the first server of the data demander.

In one or more embodiments of the present specification, after the sending the processing result to the first server, the method may further include:

counting the number of pieces of information of the data processing request information sent by the first server in a preset period to obtain a counting result;

generating prompt information based on the statistical result;

and sending the prompt message to the first server.

And the data platform counts the number of information pieces of the data processing request information sent by the first server in a preset period to obtain a statistical result. The statistical result can have multiple functions, and for the second payment mode, the payment price can be generated according to the statistical result and sent to the first server of the data demand side.

In addition, the statistical result can also optimize the payment mode of the data demand side:

suppose that the data demander adopts a payment mode one, not according to the number of the data demander, and pays according to the period. After the statistical result of the number of pieces of information of the data processing request information is obtained, the preset period is assumed as a payment period defined by the data provider. The prompt may calculate a payment price based on a pay-per-charge provided by another payment method of the data provider, payment method two, and if the payment price is lower than the pay-per-period payment price, the prompt may prompt the data consumer to change the payment method to save expenses. If the payment price is higher than the payment price paid by the period, the prompt message can prompt the data demand party that the selected payment mode is reasonable and the payment mode can be continuously adopted. Of course, the prompt message can also be used for comparing only two payment modes without any suggestion, and the data demand side determines the prompt message by itself.

Similarly, suppose that the data demand party adopts the second payment mode, the charging is carried out according to the number of the data demand party, and the payment is carried out periodically. After the statistical result of the number of pieces of the data processing request information is obtained, the preset period is assumed to be a payment period defined by the data provider and the data demander. The prompt may be based on a periodic charge provided by another payment method of the data provider, the payment method, and if the payment price is lower than the pay-per-view payment price, the prompt may prompt the data consumer to change the payment method to save money. If the payment price is higher than the payment price paid per item, the prompt message can prompt the data demander that the selected payment mode is reasonable and the payment mode can be continuously adopted.

Based on the same idea, the embodiment of the present specification further provides a device corresponding to the above method. Fig. 5 is a schematic structural diagram of a data service providing device corresponding to fig. 2 according to an embodiment of the present disclosure. As shown in fig. 5, the apparatus may include:

a data type information receiving module 501, configured to receive data type information submitted by a first server of a data demander, where the data type information is used to indicate a type of data required by the data demander;

a data provider information retrieving module 502 configured to retrieve data provider information indicating information of a data provider that supports providing the type of data;

a data provider information sending module 503, configured to send the data provider information to the first server;

a target data provider information receiving module 504, configured to receive information of a target data provider determined by the first server from the data provider information and used for providing the type of data;

an identification information generating module 505, configured to generate identification information according to information of the first server and the target data provider, where the identification information is used to indicate a mapping relationship between the data demander and the target data provider that provides the type of data;

an identification information sending module 506, configured to send the identification information to the first server.

Optionally, the data provider information includes a data rating, and the apparatus may further include:

the analysis module is used for analyzing the data provided by the data provider;

and the data grade determining module is used for determining the data grade of the data provided by the data provider according to the analysis result.

Optionally, the analysis module may specifically include:

a sample set determining unit, configured to determine a sample set according to a type of data provided by a data provider, where the sample set includes a plurality of samples;

a first sample description data set acquiring unit, configured to acquire a first sample description data set corresponding to the sample set, where the first sample description data set includes description data of a plurality of samples;

a second sample description data set determining unit, configured to obtain a processing result of the data provider for processing the sample set, and obtain a second sample description data set corresponding to the sample set;

and the data grade determining unit is used for determining the data grade of the data provided by the data provider according to the first sample description data set and the second sample description data set.

Optionally, the apparatus may further include:

a data processing request information receiving module, configured to receive data processing request information sent by the first server, where the data processing request information at least includes user behavior data and the identification information;

the target data provider determining module is used for determining a target data provider of the data processing request information according to the identification information;

the user behavior data sending module is used for sending the user behavior data to a second server of the target data provider for processing;

and the processing result sending module is used for sending the processing result to the first server after receiving the processing result which is returned by the second server and aims at the user behavior data.

Optionally, the user behavior data sending module may be specifically configured to:

Optionally, the apparatus may further include:

the registration information acquisition module is used for acquiring registration information submitted by a data provider;

and the connection module is used for verifying the registration information and establishing connection with the server of the data provider when the verification is passed.

Optionally, the data types may include: an IP portrait type, a cell phone portrait type, a map portrait type, and/or a national administrative area portrait type.

Optionally, the apparatus may further include:

the storage module is used for storing the data processing request information and the processing result and recording the storage time;

and the processing result sending module is used for sending the processing result to the first server if the data processing request information sent by the first server is received again when the storage time is greater than a preset threshold value.

Optionally, the apparatus may further include:

the judging module is used for judging whether the storage time is greater than a preset threshold value or not to obtain a judging result;

and the deleting module is used for deleting the data processing request information and the processing result when the judgment result is yes.

Optionally, the apparatus may further include:

the statistical module is used for counting the number of pieces of information of the data processing request information sent by the first server in a preset period to obtain a statistical result;

the prompt information generating module is used for generating prompt information based on the statistical result;

and the prompt message sending module is used for sending the prompt message to the first server.

Based on the same idea, the embodiment of the present specification further provides a device corresponding to the above method.

Fig. 6 is a schematic structural diagram of a data service providing device corresponding to fig. 6 provided in an embodiment of this specification. As shown in fig. 6, the apparatus 600 may include:

at least one processor 610; and the number of the first and second groups,

a memory 630 communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory 630 stores instructions 620 executable by the at least one processor 610 to enable the at least one processor 610 to:

sending the data provider information to the first server;

and sending the identification information to the first server.

Based on the same idea, the embodiment of the present specification further provides a computer-readable medium corresponding to the above method. The computer readable medium has computer readable instructions stored thereon that are executable by a processor to implement the method of:

sending the data provider information to the first server;

and sending the identification information to the first server.

In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an integrated circuit chip, such programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean expression Language), ahdl (alternate Language Description Language), traffic, pl (kernel universal programming Language), HDCal, JHDL (Hardware Description Language), Lava, Lola, HDL, pamm, hardlaw (Hardware Description Language), vhalware Description Language (vhigh-Language), etc., which are currently used in the most popular way. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, AtmelAT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

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.

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 disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that 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 like elements in a process, method, article, or apparatus that comprises the element.

The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A data service providing method, the method comprising:

sending the data provider information to the first server;

and sending the identification information to the first server.

2. The method of claim 1, the data provider information comprising a data rating;

analyzing data provided by a data provider;

3. The method according to claim 2, wherein analyzing the data provided by the data provider comprises:

4. The method of claim 1, after said sending said identification information to said first server, said method further comprising:

5. The method according to claim 4, wherein the sending the user behavior data to the second server of the target data provider for processing specifically includes:

6. The method of claim 1, prior to receiving the data type information submitted by the first server of the data demander, further comprising:

acquiring registration information submitted by a data provider;

7. The method of claim 1, the data types comprising: an IP portrait type, a cell phone portrait type, a map portrait type, and/or a national administrative area portrait type.

8. The method of claim 4, after the processing result is sent to the first server, the method further comprising:

9. The method of claim 4, further comprising:

judging whether the storage time is greater than a preset threshold value or not, and obtaining a judgment result;

and when the judgment result is yes, deleting the data processing request information and the processing result.

10. The method of claim 4, after said sending the processing result to the first server, the method further comprising:

generating prompt information based on the statistical result;

and sending the prompt message to the first server.

11. A data service providing apparatus comprising:

12. The apparatus of claim 11, the apparatus further comprising:

13. A data service providing apparatus comprising:

at least one processor; and the number of the first and second groups,

sending the data provider information to the first server;

and sending the identification information to the first server.

14. A computer readable medium having computer readable instructions stored thereon which are executable by a processor to implement the data service providing method of any one of claims 1 to 10.