CN113554514A - Data processing method, device, equipment and computer readable medium - Google Patents
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Abstract
The invention discloses a data processing method, a data processing device, data processing equipment and a computer readable medium, and relates to the technical field of cloud computing. One embodiment of the method comprises: clustering a plurality of data parties according to the characteristics of the data parties to obtain a data processing alliance; configuring a sharing processing mode of the data processing alliance and an independent processing mode of each data party in the data processing alliance; processing the interactive data of the subordinate data party of the data processing alliance based on the sharing processing mode and the independent processing mode; and displaying parameters of the processed interactive data according to the data processing alliance and the data party subordinate to the data processing alliance. The embodiment can display the parameters of the same account after cooperating with different partners.
Description
Technical Field
The present invention relates to the field of cloud computing technologies, and in particular, to a method, an apparatus, a device, and a computer-readable medium for data processing.
Background
The continuous development of internet finance and third-party payment platforms brings numerous financial science and technology benefits and convenience, however, the problems are gradually exposed. With the continuous deepening of the supervision, the payment platform and the large-scale online merchant customer are concerned and restricted more in the aspects of real name, payment, fund supervision and the like.
The sea-going model of a general account is used, i.e. one wallet account applies to all partners. Except that the traditional offline channels cannot be used for swiping cards, the other online channels are not different from the offline physical cards. The shoplifting mode of the special account is adopted, namely one wallet account is applied to a specific partner. However, because of the numerous partners, each partner opens a separate account, which easily causes waste of account resources.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art: due to the deep coupling of the account function and the scene, the parameters of the same account after cooperating with different partners are difficult to display.
Disclosure of Invention
In view of this, embodiments of the present invention provide a data processing method, apparatus, device and computer readable medium, which can display parameters of a same account after cooperating with different partners.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a data processing method including:
clustering a plurality of data parties according to the characteristics of the data parties to obtain a data processing alliance;
configuring a sharing processing mode of the data processing alliance and an independent processing mode of each data party in the data processing alliance;
processing the interactive data of the subordinate data party of the data processing alliance based on the sharing processing mode and the independent processing mode;
and displaying parameters of the processed interactive data according to the data processing alliance and the data party subordinate to the data processing alliance.
The characteristics of the data side comprise one or more of a user payment mode, a service type and a user right.
The clustering of a plurality of data parties according to the characteristics of the data parties to obtain a data processing alliance comprises the following steps:
according to the characteristics of the data parties, successfully matching the data parties to a data processing alliance, wherein the data processing alliance is obtained by clustering a plurality of data parties;
adding the data party to the data processing federation.
The clustering of a plurality of data parties according to the characteristics of the data parties to obtain a data processing alliance comprises the following steps:
according to the characteristics of the data parties, unsuccessfully matching to a data processing alliance, wherein the data processing alliance is obtained by clustering a plurality of data parties;
and establishing a data processing alliance according to the characteristics of the data party, and adding the data party to the established data processing alliance.
The sharing processing mode comprises one or more of the following modes: account opening amount, product type, transaction account limit, transaction merchant, and transaction channel.
The independent treatment mode comprises one or more of the following: account opening amount, product type, transaction account limit, transaction merchant, and transaction channel.
The priority of the shared processing mode is higher than that of the independent processing mode.
The sharing processing mode comprises sharing user information of the data party in the data processing alliance and sharing user rights and interests of the data party in the data processing alliance.
The shared user information includes one or more of: user activity, user financial shelves, and advertising guidance traffic.
The shared user interests include one or more of: coupons, decremental campaigns, user points, and user check-in offers.
The processing of the interactive data of the subordinate data party of the data processing alliance based on the shared processing mode and the independent processing mode comprises:
processing the interactive data of the subordinate data party of the data processing alliance based on the sharing processing mode;
and processing the interactive data processed by the sharing processing mode according to the independent processing mode.
The processing of the interactive data of the subordinate data party of the data processing alliance based on the shared processing mode and the independent processing mode comprises:
screening out interactive data of a subordinate data party of the data processing alliance based on the sharing processing mode and the independent processing mode;
and acquiring expenditure detail data and income detail data of the interactive data in the interactive data of the data party under the data processing alliance.
The payout detail data includes one or more of the following information: payer, payment amount and payment time.
The revenue detail data includes one or more of the following information: the income party, the income amount, and the income time.
The displaying the parameters of the processed interactive data according to the data processing alliance and the subordinate data party of the data processing alliance comprises:
displaying parameters of the processed interactive data in the data processing alliance according to the data processing alliance;
and displaying parameters of the processed interactive data in the subordinate data party of the data processing alliance according to the subordinate data party of the data processing alliance.
The parameters of the interaction data include one or more of: recharge, consume, earning, and cash withdrawal.
The method further comprises the following steps:
and establishing a joint account of the data processing alliance, wherein the joint account is determined by individual accounts of data parties under the data processing alliance.
According to a second aspect of the embodiments of the present invention, there is provided an apparatus for data processing, including:
the clustering module is used for clustering a plurality of data parties according to the characteristics of the data parties to obtain a data processing alliance;
the configuration module is used for configuring the sharing processing mode of the data processing alliance and the independent processing mode of each data party in the data processing alliance;
the processing module is used for processing the interactive data of the subordinate data party of the data processing alliance based on the sharing processing mode and the independent processing mode;
and the display module is used for displaying the parameters of the processed interactive data according to the data processing alliance and the data party subordinate to the data processing alliance.
According to a third aspect of the embodiments of the present invention, there is provided an electronic device for data processing, including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method as described above.
According to a fourth aspect of embodiments of the present invention, there is provided a computer readable medium, on which a computer program is stored, which when executed by a processor, implements the method as described above.
One embodiment of the above invention has the following advantages or benefits: clustering a plurality of data parties according to the characteristics of the data parties to obtain a data processing alliance; configuring a sharing processing mode of the data processing alliance and an independent processing mode of each data party in the data processing alliance; processing the interactive data of the subordinate data party of the data processing alliance based on the sharing processing mode and the independent processing mode; and displaying parameters of the processed interactive data according to the data processing alliance and the data party subordinate to the data processing alliance. The data processing alliance is used as a basis for processing interactive data, and a data party to which the account belongs and other cooperating parties belong to the same data processing alliance, so that parameters of the same account and different cooperating parties after cooperation can be displayed.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic diagram of a main flow of a method of data processing according to an embodiment of the invention;
FIG. 2 is a schematic diagram of data processing federation clustering, according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of clustering a plurality of data parties to obtain a data processing federation according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart illustrating clustering of multiple data parties to obtain a data processing federation, according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a shared processing mode and an independent processing mode according to an embodiment of the invention;
FIG. 6 is a schematic diagram of sharing user information and sharing user rights according to an embodiment of the present invention;
FIG. 7 is a flow diagram illustrating a process for processing interactive data of a data processing federation subordinate data party, according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of account details according to an embodiment of the invention;
fig. 9 is a schematic diagram of a main structure of a data processing apparatus according to an embodiment of the present invention;
FIG. 10 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 11 is a schematic structural diagram of a computer system suitable for implementing a terminal device or a server according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Payment platforms and large online merchant customers are receiving more attention and restrictions in terms of real names, payments, fund administration, and the like. Taking the situation as a trigger, the commercial bank gradually begins to exert the advantages of the financial science and technology of the commercial bank, and actively explores a new mode of the cooperation between the commercial tenant and the third-party payment business at the commercial tenant end; the internet genes are implanted into the user side, the ecological scene is seamlessly cut in, the traditional thinking is broken through, and innovation of a traditional bank service mode and an operation mode is tried through sea going of an account.
The method breaks through the original card issuing mode, opens two or three types of accounts in a third party scene to realize account sea going, and is an important mode of the commercial bank and a third party partner at present. However, the account in the current mode has the following problems in going out of the sea:
problem 1, the sea-going model with a general account, i.e. one wallet account applies to all partners. The method has the problems of fund supervision, such as consumption transaction of a partner A, generation transaction of a partner B, fund mixing and money laundering. Secondly, the universality of the account determines that the sea-going mode of the account cannot be customized according to a partner, so that the scene building is difficult to complete according to different ecology. Finally, the account balance and account details are not different from those of the traditional bank account, and cannot be isolated aiming at the partner, so that differential registration is provided.
Question 2, sea-going model with a dedicated account, i.e. one wallet account applies to a certain partner. The advantage is that the electronic wallet can be customized differently according to different partner ecological scenes. However, because of the numerous partners, each partner opens a separate account, which is likely to cause waste of account resources, and this is also contrary to the account quantity limitation concept in the account classification management mechanism.
Adopting a general account, and deeply coupling the account function with various scenes; with a dedicated account, account functionality is deeply coupled with a particular scene. Due to the deep coupling of the account function and the scene, the parameters of the same account after cooperating with different partners are difficult to display.
In order to solve the problem that it is difficult to display parameters of the same account after cooperating with different partners, the following technical scheme in the embodiment of the present invention may be adopted.
Referring to fig. 1, fig. 1 is a schematic diagram of a main flow of a data processing method according to an embodiment of the present invention, and an independent processing mode and a shared processing mode are configured by a data processing federation, so as to display parameters of interactive data. As shown in fig. 1, the method specifically comprises the following steps:
s101, clustering a plurality of data parties according to the characteristics of the data parties to obtain a data processing alliance.
In an embodiment of the invention, the data party is an application involving multiple users. As one example, the data party is a third party or partner. As an example, the data side is an application APP installed at the mobile terminal. Or, a user in social media, etc. Through the data side, the user can purchase goods or interact with other users.
For the data side, data relating to the user. Users involved in multiple data parties have overlap. For data parties involved in the same user, the interactive data with the user may be displayed in the same manner. As an example, data party A and data party B, both relate to user a. Then, data party a and data party B can share the same account of user a, and user a can obtain an offer at data party a and data party B.
And for similar data parties, one account is commonly used, and a data processing alliance can be obtained by clustering a plurality of data parties according to the characteristics of the data parties. Thus, homogeneous data parties are included in a data processing federation.
In one embodiment of the invention, the characteristics of the data party include one or more of a user payment method, a service category and a user interest. As one example, the user payment means includes a payment, cash payment, purchase payment, or trip payment. The traffic class is the class of traffic involved by the data party. As one example, the business categories include fund transactions, financial transactions, and precious metal transactions. The user interest is the benefit enjoyed by the user. As one example, the user interests include points and vouchers.
Referring to fig. 2, fig. 2 is a schematic diagram of data processing federation clustering, according to an embodiment of the present invention. The clustering elements of the first data processing federation are shown in FIG. 2. Specifically, the clustering elements of the first data processing alliance, namely the characteristics of the data side, comprise user payment modes, service types and user rights and interests.
The user payment mode comprises payment, purchase and travel. The payment is 30% weighted, the purchase 50% weighted, and the trip 20% weighted. The business categories include funds, financing, and precious metals. The fund is weighted 40%, the financing 30%, and the precious metals 30%. The user interests include points and vouchers. The weight of the tally is 40% and the weight of the voucher is 60%. Different clustering elements can be set for other data processing alliances.
Referring to fig. 3, fig. 3 is a schematic flowchart of a process of clustering a plurality of data parties to obtain a data processing federation according to an embodiment of the present invention, which specifically includes the following steps:
s301, according to the characteristics of the data parties, a data processing alliance is successfully matched, and the data processing alliance is obtained by clustering a plurality of data parties.
For each data party, the data processing federation is matched according to the characteristics of the data party. The data processing alliance is obtained by clustering a plurality of data parties. That is, in the case of successful matching of the data processing federation, it is explained that the data party is similar to the data party in the data processing federation whose matching was successful.
And S302, adding the data party to the data processing alliance.
Since the data party successfully matches the data processing federation, the data party may be added to the data processing federation.
As an example, clustering is performed according to the characteristics of the data party a, and it is found that the data party a is most similar to the first data processing federation, the data party a may join the first data processing federation. And clustering according to the characteristics of the data party B, and if the data party B is found to be most similar to the second data processing alliance, adding the second data processing alliance into the data party B.
In the embodiment of fig. 3, if a data party is successfully matched to a data processing federation, the data party is added to the data processing federation.
Referring to fig. 4, fig. 4 is another schematic flow chart of clustering multiple data parties to obtain a data processing federation according to the embodiment of the present invention, which specifically includes:
s401, according to the characteristics of the data parties, the data processing alliance is not successfully matched, and the data processing alliance is obtained by clustering a plurality of data parties.
The data processing alliance is obtained by clustering a plurality of data parties. And according to the characteristics of the data side, in the case of unsuccessfully matching the data side to the data processing alliance, the data side is not similar to any current data processing alliance.
S402, establishing a data processing alliance according to the characteristics of the data side, and adding the data side to the established data processing alliance.
And if the data side is not similar to any current data processing alliance, a data processing alliance needs to be newly established. Specifically, a data processing alliance is created according to the characteristics of a data side, and the data side is added to the created data processing alliance.
As an example, clustering is performed according to the characteristics of the data party a, and if the data processing alliance is not successfully matched, a third data processing alliance is created according to the characteristics of the data party a, and the third data processing alliance includes the data party a.
In the embodiment of fig. 4, if the data party is not successfully matched to the data processing alliance, a data processing alliance is created, and the created data processing alliance includes the data party.
As an example, both data party a and data party B are e-commerce platforms, and need to use the account function of some commercial bank as their platform user wallet. By using the wallet, functions of payment, user rights and interests, payment and fund purchase of platform users can be realized. The data party A and the data party B establish a first data processing alliance. In the platform user of the first data processing alliance, the same wallet account can be used by the data party A and the data party B, and the user can directly use the wallet account by the data party B after the data party A is opened. Meanwhile, users in the first data processing alliance share account functions and user rights and interests, and the first data processing alliance is provided with an independent account book and a fund pool.
S102, configuring a sharing processing mode of the data processing alliance and an independent processing mode of each data party in the data processing alliance.
For a data side in a data processing alliance, two processing modes are involved, namely a shared processing mode and an independent processing mode.
The sharing processing mode is a processing mode suitable for all data parties in the data processing alliance. The sharing processing mode comprises one or more of the following modes: account opening amount, product type, transaction account limit, transaction merchant, and transaction channel. As one example, the shared account funds belong to a transaction account limit. The sharing process includes sharing account funds. The shared account balance is 1000 yuan. After 300 yen is used in data side a, only 700 yen can be used in data side B.
The independent processing mode is a processing mode suitable for a specific data party in the data processing alliance. The independent treatment means comprises one or more of the following: account opening amount, product type, transaction account limit, transaction merchant, and transaction channel. As an example, a transaction account limit of data party A is 10000 yuan, and a user has paid 6000 yuan at data party A, and then at most 4000 yuan is consumed at data party A. The transaction account limit of party a is independent of the user's consumption at party B.
The priority of the shared processing method is higher than that of the independent processing method. That is, when the shared processing method conflicts with the independent processing method, the shared processing method is the standard. As one example, the shared processing mode includes a transaction account limit of 1000 units, and the independent processing mode of data party A includes a transaction account limit of 2000 units. In the above case, the transaction account limit of data party a is 1000 dollars.
Referring to fig. 5, fig. 5 is a schematic diagram of a sharing processing mode and an independent processing mode according to an embodiment of the present invention. In fig. 5, the sharing processing mode includes transaction account limit, product type and account opening amount, and the weight of the above three modes. The independent processing mode comprises transaction limit, transaction channel, product type and transaction merchant and the weight of the four modes.
The user is distinguished from the client and the account and refers to a registered member on one platform. A client may register multiple users on different platforms. The user rights refer to a series of operation activities, such as member systems, reduction activities, check-in tasks and the like, performed by the third-party platform around the user.
The sharing processing mode comprises two parts. One part is the shared user information of the data parties in the data processing alliance, and the other part is the shared user rights and interests of the data parties in the data processing alliance. Namely, the sharing processing mode includes the sharing user information of the data party in the data processing alliance and the sharing user rights and interests of the data party in the data processing alliance. The shared user information includes one or more of: user activity, user financial shelves, and advertising guidance traffic. Sharing user rights includes one or more of: coupons, decremental campaigns, user points, and user check-in offers.
By sharing the user information, the data parties in the same data processing alliance are allowed to share the user information and guide the data parties, and therefore platform reciprocity and mutual benefits are promoted. And by sharing the user rights, the data parties in the same data processing alliance can share the preferential manifest. As an example, a user of data party a, checking in at a bank section user of data party a, accumulates 10 points. The credit can be used on the data side B to share the user right. As another example, within the first data processing federation, sharing user rights includes activities that are full of 100-10, allowing each user to enjoy once. If user A already enjoys the user interest when data party A pays, user A cannot enjoy the user interest again at data party B.
Referring to fig. 6, fig. 6 is a schematic diagram of sharing user information and sharing user rights according to an embodiment of the present invention. The shared user information of the first data processing federation in FIG. 6 includes user financial shelves, advertising guidance traffic, and user activity. The shared user rights of the first data processing federation include coupons, decremental campaigns, user credits, and user check-in offers.
And S103, processing the interactive data of the subordinate data side of the data processing alliance based on the sharing processing mode and the independent processing mode.
After the sharing processing mode and the independent processing mode are determined, the interactive data of the subordinate data side of the data processing alliance can be processed based on the sharing processing mode and the independent processing mode. Interactive data is data between a data party and other data parties or financial institutions. As one example, the interaction data includes a consumption amount, a recharge amount, a revenue amount, and the like.
Specifically, interactive data of subordinate data parties of a data processing alliance are processed based on a sharing processing mode; and processing the interactive data processed by the sharing processing mode according to an independent processing mode. Since the priority of the shared processing mode is higher than that of the independent processing mode. Then, for the interactive data of the data, the sharing processing mode is executed first, and then the independent processing mode is executed.
Referring to fig. 7, fig. 7 is a schematic flowchart of a process of processing interactive data of a data processing federation subordinate data party according to an embodiment of the present invention, which specifically includes the following steps:
s701, screening out interactive data of a data party under a data processing alliance based on a sharing processing mode and an independent processing mode.
For the data side, interactive data can be screened out aiming at a shared processing mode and an independent processing mode. Namely, the interactive data of the subordinate data side of the data processing alliance are screened out based on the sharing processing mode and the independent processing mode.
As an example, the sharing process includes product type 1 and product type 2. The independent processing mode includes a transaction merchant 1 and a transaction merchant 2. And screening out the interactive data of the data processing alliance subordinate data party based on the sharing processing mode and the independent processing mode in the data of the data processing alliance subordinate data party. The screened interaction data relates to at least one of a product type 1, a product type 2, a transaction merchant 1 and a transaction merchant 2.
S702, acquiring expenditure detail data and income detail data of the interactive data from the interactive data of the subordinate data parties of the data processing alliance.
The interactive data of the subordinate data side of the data processing alliance comprises expenditure detail data and income detail data. In order to display the expenditure detail data and the income detail data in the interactive data, the expenditure detail data and the income detail data of the interactive data are obtained in the interactive data of the data processing alliance subordinate data side. As one example, the detail data is known to be either expense detail data or income detail data based on a summary of the detail data.
Wherein the expenditure detail data comprises one or more of the following information: payer, payment amount and payment time. The revenue detail data includes one or more of the following information: the income party, the income amount, and the income time.
Referring to fig. 8, fig. 8 is a schematic diagram of account details according to an embodiment of the invention. The first data processing federation in FIG. 8 includes a data party A and a data party B. The partner ledger, i.e. the data ledger, records the transaction time, amount, summary and remarks. The account details include detail data, and the detail data includes: transaction time, amount, summary and remarks. The partner ledger includes the ledger of data party a and the ledger of data party B.
And S104, displaying parameters of the processed interactive data according to the data processing alliance and the data party subordinate to the data processing alliance.
For each data party, the data party belongs to the data processing alliance. And from the perspective of the data processing alliance, displaying the parameters of the processed interactive data according to the data processing alliance. And displaying the parameters of the processed interactive data to the user according to the data processing alliance as a unit. As an example, the parameters of the interaction data include one or more of: recharge, consume, earning, and cash withdrawal.
In addition, from the perspective of the data side, the parameters of the processed interactive data in the subordinate data side of the data processing alliance are displayed according to the subordinate data side of the data processing alliance. And displaying the parameters of the processed interactive data in the data party to a user.
It is understood that the parameters of the processed interactive data can be displayed according to the data processing alliance and can also be displayed according to the data side.
In one embodiment of the invention, joint accounts of the data processing alliance are established, and the joint accounts are determined by individual accounts of data parties under the data processing alliance. Because the data processing alliance belongs to a plurality of data parties, in order to process the data of the data parties in the data processing alliance, a united account and an individual account are established.
The combined account is based on the same data processing alliance, an independent individual account is established for each data party, and the balance of the individual accounts is accumulated to be the balance of the combined account. Each individual account is assigned with different keys according to different platforms and is used for managing funds held by users on different platforms and fund use conditions. Balance separation and account integration can be realized. It is understood that the individual account may be a fund pool.
As one example, plumes open accounts in a first data processing federation that includes a data party a and a data party B. The small plum is charged with 1000 yuan in the data party A, the consumption is 100 yuan, and the balance of the individual account of the data party A is 900 yuan. The balance can be seen in the federated account as 900 dollars. The plumes are charged with 500 yuan at the data side B, and then 200 yuan funds are purchased, and the balance of the individual account of the data side B is 300 yuan. To this end, the joint account balance is 1200 dollars.
In the above embodiment, according to the characteristics of the data parties, clustering a plurality of data parties to obtain a data processing alliance; configuring a sharing processing mode of the data processing alliance and an independent processing mode of each data party in the data processing alliance; processing the interactive data of the subordinate data party of the data processing alliance based on the sharing processing mode and the independent processing mode; and displaying parameters of the processed interactive data according to the data processing alliance and the data party subordinate to the data processing alliance. The data processing alliance is used as a basis for processing interactive data, and a data party to which the account belongs and other cooperating parties belong to the same data processing alliance, so that parameters of the same account and different cooperating parties after cooperation can be displayed.
Referring to fig. 9, fig. 9 is a schematic diagram of a main structure of a data processing apparatus according to an embodiment of the present invention, where the data processing apparatus may implement a data processing method, and as shown in fig. 9, the data processing apparatus specifically includes:
a clustering module 901, configured to cluster multiple data parties to obtain a data processing alliance according to characteristics of the data parties;
a configuration module 902, configured to configure a sharing processing mode of the data processing alliance and an independent processing mode of each data party in the data processing alliance;
a processing module 903, configured to process, based on the shared processing manner and the independent processing manner, the interactive data of the subordinate data party of the data processing federation;
and a display module 904, configured to display parameters of the processed interactive data according to the data processing alliance and the subordinate data party of the data processing alliance.
In one embodiment of the invention, the characteristics of the data party include one or more of a user payment method, a service category and a user right.
In an embodiment of the present invention, the clustering module 901 is specifically configured to successfully match a data processing alliance, which is obtained by clustering a plurality of data parties, according to characteristics of the data parties;
adding the data party to the data processing federation.
In an embodiment of the present invention, the clustering module 901 is specifically configured to unsuccessfully match a data processing alliance, where the data processing alliance is obtained by clustering a plurality of data parties, according to characteristics of the data parties;
and establishing a data processing alliance according to the characteristics of the data party, and adding the data party to the established data processing alliance.
In an embodiment of the present invention, the sharing processing manner includes one or more of the following: account opening amount, product type, transaction account limit, transaction merchant, and transaction channel.
In one embodiment of the invention, the independent processing means comprises one or more of: account opening amount, product type, transaction account limit, transaction merchant, and transaction channel.
In one embodiment of the invention, the priority of the shared processing mode is higher than the priority of the independent processing mode.
In an embodiment of the present invention, the sharing processing manner includes shared user information of the data parties in the data processing federation and shared user rights and interests of the data parties in the data processing federation.
In one embodiment of the invention, the shared user information includes one or more of the following: user activity, user financial shelves, and advertising guidance traffic.
In one embodiment of the invention, the shared user interests include one or more of: coupons, decremental campaigns, user points, and user check-in offers.
In an embodiment of the present invention, the processing module 903 is specifically configured to process, based on the sharing processing manner, the interactive data of the data processing alliance subordinate data party;
and processing the interactive data processed by the sharing processing mode according to the independent processing mode.
In an embodiment of the present invention, the processing module 903 is specifically configured to screen out the interactive data of the data party under the data processing federation based on the shared processing manner and the independent processing manner;
and acquiring expenditure detail data and income detail data of the interactive data in the interactive data of the data party under the data processing alliance.
In one embodiment of the invention, the payout detail data comprises one or more of the following information: payer, payment amount and payment time.
In one embodiment of the invention, the revenue detail data includes one or more of the following information: the income party, the income amount, and the income time.
In an embodiment of the present invention, the display module 904 is specifically configured to display parameters of the processed interactive data in the data processing federation according to the data processing federation;
and displaying parameters of the processed interactive data in the subordinate data party of the data processing alliance according to the subordinate data party of the data processing alliance.
In one embodiment of the invention, the parameters of the interaction data comprise one or more of the following: recharge, consume, earning, and cash withdrawal.
In an embodiment of the present invention, the processing module 903 is further configured to establish a joint account of the data processing federation, where the joint account is determined by individual accounts of data parties under the data processing federation.
Fig. 10 shows an exemplary system architecture 1000 of a data processing apparatus or a method of data processing to which embodiments of the present invention may be applied.
As shown in fig. 10, the system architecture 1000 may include terminal devices 1001, 1002, 1003, a network 1004, and a server 1005. The network 1004 is used to provide a medium for communication links between the terminal devices 1001, 1002, 1003 and the server 1005. Network 1004 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 1001, 1002, 1003 to interact with a server 1005 via a network 1004 to receive or transmit messages or the like. The terminal devices 1001, 1002, 1003 may have installed thereon various messenger client applications such as shopping applications, web browser applications, search applications, instant messenger, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 1001, 1002, 1003 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 1005 may be a server that provides various services, such as a backend management server (for example only) that supports shopping websites browsed by users using the terminal devices 1001, 1002, 1003. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the method for data processing provided by the embodiment of the present invention is generally executed by the server 1005, and accordingly, a data processing apparatus is generally disposed in the server 1005.
It should be understood that the number of terminal devices, networks, and servers in fig. 10 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 11, shown is a block diagram of a computer system 1100 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 11 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 11, the computer system 1100 includes a Central Processing Unit (CPU)1101, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)1102 or a program loaded from a storage section 1108 into a Random Access Memory (RAM) 1103. In the RAM 1103, various programs and data necessary for the operation of the system 1100 are also stored. The CPU 1101, ROM 1102, and RAM 1103 are connected to each other by a bus 1104. An input/output (I/O) interface 1105 is also connected to bus 1104.
The following components are connected to the I/O interface 1105: an input portion 1106 including a keyboard, mouse, and the like; an output portion 1107 including a signal output unit such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage section 1108 including a hard disk and the like; and a communication section 1109 including a network interface card such as a LAN card, a modem, or the like. The communication section 1109 performs communication processing via a network such as the internet. A driver 1110 is also connected to the I/O interface 1105 as necessary. A removable medium 1111 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1110 as necessary, so that a computer program read out therefrom is mounted into the storage section 1108 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 1109 and/or installed from the removable medium 1111. The above-described functions defined in the system of the present invention are executed when the computer program is executed by a Central Processing Unit (CPU) 1101.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a clustering module, a configuration module, a processing module, and a display module. The names of these modules do not in some cases form a limitation on the modules themselves, and for example, a clustering module may also be described as "clustering data processing associations on a plurality of data parties according to their characteristics".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise:
clustering a plurality of data parties according to the characteristics of the data parties to obtain a data processing alliance;
configuring a sharing processing mode of the data processing alliance and an independent processing mode of each data party in the data processing alliance;
processing the interactive data of the subordinate data party of the data processing alliance based on the sharing processing mode and the independent processing mode;
and displaying parameters of the processed interactive data according to the data processing alliance and the data party subordinate to the data processing alliance.
According to the technical scheme of the embodiment of the invention, a plurality of data parties are clustered to obtain a data processing alliance according to the characteristics of the data parties; configuring a sharing processing mode of the data processing alliance and an independent processing mode of each data party in the data processing alliance; processing the interactive data of the subordinate data party of the data processing alliance based on the sharing processing mode and the independent processing mode; and displaying parameters of the processed interactive data according to the data processing alliance and the data party subordinate to the data processing alliance. The data processing alliance is used as a basis for processing interactive data, and a data party to which the account belongs and other cooperating parties belong to the same data processing alliance, so that parameters of the same account and different cooperating parties after cooperation can be displayed.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (20)
1. A method of data processing, comprising:
clustering a plurality of data parties according to the characteristics of the data parties to obtain a data processing alliance;
configuring a sharing processing mode of the data processing alliance and an independent processing mode of each data party in the data processing alliance;
processing the interactive data of the subordinate data party of the data processing alliance based on the sharing processing mode and the independent processing mode;
and displaying parameters of the processed interactive data according to the data processing alliance and the data party subordinate to the data processing alliance.
2. The data processing method of claim 1, wherein the characteristics of the data party include one or more of a user payment method, a service category and a user right.
3. The method of claim 1, wherein clustering the plurality of data parties to obtain a data processing federation according to the characteristics of the data parties comprises:
according to the characteristics of the data parties, successfully matching the data parties to a data processing alliance, wherein the data processing alliance is obtained by clustering a plurality of data parties;
adding the data party to the data processing federation.
4. The method of claim 1, wherein clustering the plurality of data parties to obtain a data processing federation according to the characteristics of the data parties comprises:
according to the characteristics of the data parties, unsuccessfully matching to a data processing alliance, wherein the data processing alliance is obtained by clustering a plurality of data parties;
and establishing a data processing alliance according to the characteristics of the data party, and adding the data party to the established data processing alliance.
5. The data processing method according to claim 1, wherein the shared processing manner comprises one or more of the following: account opening amount, product type, transaction account limit, transaction merchant, and transaction channel.
6. The method of claim 1, wherein the independent processing comprises one or more of: account opening amount, product type, transaction account limit, transaction merchant, and transaction channel.
7. The data processing method of claim 1, wherein the shared processing mode has a higher priority than the independent processing mode.
8. The method according to claim 1, wherein the shared processing manner includes shared user information of the data parties in the data processing federation and shared user rights and interests of the data parties in the data processing federation.
9. The data processing method of claim 8, wherein the shared user information comprises one or more of: user activity, user financial shelves, and advertising guidance traffic.
10. The method of claim 8, wherein the shared user rights comprise one or more of: coupons, decremental campaigns, user points, and user check-in offers.
11. The method according to claim 1, wherein the processing the interactive data of the data processing federation subordinate data party based on the shared processing mode and the independent processing mode comprises:
processing the interactive data of the subordinate data party of the data processing alliance based on the sharing processing mode;
and processing the interactive data processed by the sharing processing mode according to the independent processing mode.
12. The method according to claim 1, wherein the processing the interactive data of the data processing federation subordinate data party based on the shared processing mode and the independent processing mode comprises:
screening out interactive data of a subordinate data party of the data processing alliance based on the sharing processing mode and the independent processing mode;
and acquiring expenditure detail data and income detail data of the interactive data in the interactive data of the data party under the data processing alliance.
13. A method of data processing according to claim 12, wherein the payout detail data comprises information from one or more of: payer, payment amount and payment time.
14. The method of data processing according to claim 12, wherein the revenue detail data includes one or more of the following: the income party, the income amount, and the income time.
15. The method for data processing according to claim 1, wherein the displaying parameters of the processed interactive data according to the data processing alliance and the data party subordinate to the data processing alliance comprises:
displaying parameters of the processed interactive data in the data processing alliance according to the data processing alliance;
and displaying parameters of the processed interactive data in the subordinate data party of the data processing alliance according to the subordinate data party of the data processing alliance.
16. The data processing method of claim 1, wherein the parameters of the interaction data comprise one or more of: recharge, consume, earning, and cash withdrawal.
17. The method of data processing according to claim 1, further comprising:
and establishing a joint account of the data processing alliance, wherein the joint account is determined by individual accounts of data parties under the data processing alliance.
18. An apparatus for data processing, comprising:
the clustering module is used for clustering a plurality of data parties according to the characteristics of the data parties to obtain a data processing alliance;
the configuration module is used for configuring the sharing processing mode of the data processing alliance and the independent processing mode of each data party in the data processing alliance;
the processing module is used for processing the interactive data of the subordinate data party of the data processing alliance based on the sharing processing mode and the independent processing mode;
and the display module is used for displaying the parameters of the processed interactive data according to the data processing alliance and the data party subordinate to the data processing alliance.
19. An electronic device for data processing, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-17.
20. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-17.
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