CN113159889A - System and method for processing grouping data - Google Patents
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Abstract
The invention provides a grouping data processing system and method, and relates to the technical field of data processing. The group-piecing data processing system acquires user information to participate in group purchase through a user information acquisition module and establishes a user information set participating in group purchase, the user information extraction module extracts user grade information of the users from the user information set, the classification module classifies the user information set according to the user grade information of each user to obtain a store leader user set and a common user set, the screening module screens successful users from the store leader user set and the common user set respectively, and finally the information push module generates successful group-piecing information according to screening result information and sends the successful group-piecing information to successful group-piecing users. The users who successfully spell the group can control the users, and the users who maliciously spell the group are prevented from being used as the users who successfully spell the group, so that the viscosity between merchants and customers is improved, and the loss of the customers is avoided.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a grouping data processing system and method.
Background
With the popularization of networks, online shopping and selling through the internet is also becoming a trend more and more. The rapid development of online shopping leads to the fact that competition among all parties of an electronic commerce system is intensified, various types of group shopping and robbery activities become a common sales promotion mode, buyers are benefited by selecting commodities with prices lower than the market price, the commodities serve as the purposes of increasing the viscosity of old users, attracting new users to join in and playing a role in propaganda.
However, at present, group buying is performed by setting a certain number of people and time, and as long as the requirements of the number of people and the time are met, group-piecing can be successful, which can cause some malicious group-piecing behaviors, for example, one person uses a plurality of account numbers to participate in group-robbing, so that a common user does not rob commodities, and thus the viscosity of the common user is reduced, and part of old customers are lost.
Disclosure of Invention
The invention aims to provide a grouping data processing system and a grouping data processing method, which are used for solving the problems that the malicious grouping behavior cannot be avoided in the prior art, so that the viscosity of old users is reduced, and part of old clients are lost.
In a first aspect, an embodiment of the present application provides a data processing system for grouping, which includes:
the system comprises a user information acquisition module, a group buying module and a group buying module, wherein the user information acquisition module is used for acquiring user information participating in group buying so as to establish a user information set participating in group buying;
the user information extraction module is used for extracting user grade information in each user information;
the classification module is used for classifying the user information sets participating in group purchase according to the user grade information in each user information to obtain a store owner user set and a common user set;
the screening module is used for respectively screening in the store owner user set and the common user set according to the preset grouping condition to generate screening result information;
and the information pushing module is used for generating and sending the successful grouping information to the successful grouping user in the screening result information according to the screening result information.
In the implementation process, user information to be participated in group purchase is obtained through a user information obtaining module and a user information set participating in group purchase is established, user grade information of the users is extracted from the user information set through a user information extracting module, the user information set is classified through a classifying module according to the user grade information of each user to obtain a store leader user set and a common user set, successful users of group spelling are respectively screened out from the store leader user set and the common user set through a screening module, and finally, successful information of group spelling is generated through an information pushing module according to screening result information and is sent to the successful users of group spelling. By classifying the participated users and respectively screening successful users for the grouping from different types of users, the successful users for grouping can be controlled, the finally obtained successful users for grouping are expected by merchants, and some malicious users for grouping are avoided as successful users for grouping, so that the viscosity between merchants and customers is improved, and the loss of customers is avoided.
Based on the first aspect, in some embodiments of the invention, the classification module comprises:
the first judging unit is used for judging whether the user grade information in each user information meets a preset grade condition or not, if so, the user is marked as a store owner user, and a store owner user set is established; if not, marking the user as a common user, and establishing a common user set.
Based on the first aspect, in some embodiments of the invention, the screening module comprises:
the information extraction unit is used for intensively extracting user participation group splicing times information and user non-splicing times information of the store leader user from the store leader user; the system is also used for extracting user participation grouping times information and user non-grouping times information of the common users from the common users in a centralized manner;
the second judgment unit is used for respectively judging whether the user participation grouping times information and the user non-grouping times information of the store keeper user and the common user meet preset grouping conditions, and if so, taking the store keeper user or the common user as a successful grouping user; and if not, the shop owner user or the common user is taken as the unsuccessfully-pieced user.
Based on the first aspect, in some embodiments of the invention, the second determination unit includes:
the first judgment subunit is used for judging whether the information of the times of participation and group-splicing of each user in the shop leader user set and the information of the times of non-group-splicing of the users meet a preset first group-splicing condition or not, and if so, taking the shop leader user as a successful group-splicing user; if not, the shop owner user is taken as the unsuccessfully-pieced user;
the second judgment subunit is used for judging whether the information of the times of participation in the group splicing of each user and the information of the times of non-group splicing of the users in the common user set meet a preset second group splicing condition or not, and if so, taking the common user as a group splicing successful user; and if not, taking the common user as the unsuccessfully-clustered user.
Based on the first aspect, in some embodiments of the present invention, the classification module further includes a reward pushing unit, configured to generate reward information according to the user level information and push the reward information to the store owner user and the general user.
Based on the first aspect, in some embodiments of the invention, the classification module further comprises:
the point acquisition unit is used for acquiring the number of points in the user information of the common user;
the third judging unit is used for judging whether the integral quantity meets the preset upgrading condition or not, and if so, marking the common user as a store owner user; if not, the process is ended.
In a second aspect, an embodiment of the present application provides a method for processing piecing data, including the following steps:
acquiring user information participating in group purchase to establish a user information set participating in group purchase;
extracting user grade information in each user information;
classifying the user information sets participating in group purchase according to the user level information in each user information to obtain a store owner user set and a common user set;
screening in a shop owner user set and a common user set respectively according to preset grouping conditions to generate screening result information;
and generating and sending successful grouping information to the successful grouping user in the screening result information according to the screening result information.
In the implementation process, user information to be participated in group buying is obtained, a user information set participated in group buying is established, user grade information of the users is extracted from the user information set, the user information set is classified according to the user grade information of each user to obtain a store leader user set and a common user set, successful users for grouping are respectively screened out from the store leader user set and the common user set, and successful information for grouping is generated according to screening result information and is sent to successful users for grouping. By classifying the participated users and respectively screening successful users for the grouping from different types of users, the successful users for grouping can be controlled, the finally obtained successful users for grouping are expected by merchants, and some malicious users for grouping are avoided as successful users for grouping, so that the viscosity between merchants and customers is improved, and the loss of customers is avoided.
Based on the second aspect, in some embodiments of the present invention, the step of classifying the user information sets participating in the group purchase according to the user ranking information in the respective user information to obtain the store owner user set and the common user set includes the following steps:
judging whether the user grade information in each user information meets a preset grade condition, if so, marking the user as a store owner user, and establishing a store owner user set; if not, marking the user as a common user, and establishing a common user set.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The program or programs, when executed by a processor, implement the method of any of the first aspects as described above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to any one of the first aspect described above.
The embodiment of the invention at least has the following advantages or beneficial effects:
the embodiment of the invention provides a group-piecing data processing system and a group-piecing data processing method, wherein user information to be participated in group buying is obtained through a user information obtaining module and a user information set participating in group buying is established, user grade information of users is extracted from the user information set through a user information extracting module, the user information set is classified through a classifying module according to the user grade information of each user to obtain a store leader user set and a common user set, successful group-piecing users are respectively screened out from the store leader user set and the common user set through a screening module, and finally, a group-piecing success information is generated through an information pushing module according to screening result information and is sent to successful group-piecing users. By classifying the participated users and respectively screening successful users for the grouping from different types of users, the successful users for grouping can be controlled, the finally obtained successful users for grouping are expected by merchants, and some malicious users for grouping are avoided as successful users for grouping, so that the viscosity between merchants and customers is improved, and the loss of customers is avoided. The shop owner user and the common user are rewarded through the reward pushing unit according to the user grade, and the user can be attracted to continuously participate in group buying, so that the viscosity between the merchant and the customer is further improved, and the loss of the customer is avoided. The integral number of the common user is obtained through the integral obtaining unit, and the integral number of the common user is compared with a preset upgrading condition through the third judging unit, so that whether the user can be upgraded to a store owner user is judged. The participation of common users can be further improved, so that the viscosity between the users is further improved, and the loss of customers is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a block diagram of a data processing system for grouping according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for processing data of a piecing together according to an embodiment of the present invention;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Icon: 110-a user information acquisition module; 120-a user information extraction module; 130-a classification module; 140-a screening module; 150-an information push module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. 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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Examples
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Referring to fig. 1, fig. 1 is a block diagram of a system for processing data in a form of a blob according to an embodiment of the present invention. The grouping data processing system comprises:
a user information obtaining module 110, configured to obtain user information participating in group purchase to establish a user information set participating in group purchase; and pushing the interfaces of the group-pieced group-first-order commodity activities to all registered users, enabling the users to participate in the group-pieced group-first-order commodity activities as required, enabling the registered members to also send links of the group-pieced group-first-order commodity activities to unregistered users, and enabling the unregistered users to participate in the group-pieced group-first-order commodity activities after registering as the members. And acquiring user information participating in group purchase, wherein the user information comprises account names, user grade information, group participating information of the users, group participating times information of the users, non-group participating times information of the users and the like. For example: the user information acquired by the user a is: the account name is: a; the user grade is: middle-grade; the user has joined the group: group purchase of a product A, group purchase of a product C, group purchase of a product D, group purchase of a product E and group purchase of a product F; the times of the user participating in the grouping are as follows: 5 times; number of times of user non-centering: 1 time. And collecting all the user information participating in the group purchase together to establish a user information set participating in the group purchase.
A user information extraction module 120, configured to extract user level information in each piece of user information; the user information comprises user grade information, wherein the user grade is divided according to the times that each user successfully participates in grouping and pays on time, for example, the user grade can be divided into a primary user, a medium-grade user and a high-grade user according to the times that the user successfully participates in grouping and pays on time; it can also be divided into a store owner user and a general user. The user grades can be divided into T grades according to the condition that the commodities are successfully spliced and paid for T times on time, the value of T is an integer larger than 1, and the grade can be specifically adjusted according to the actual situation. For example, a user who successfully spells the product and pays 5 times in time can be classified as a medium level; the user grade of successfully gathering the commodities and paying for 10 times on time is divided into high grade; the user who successfully spelled the goods and paid less than 5 times on time is classified as a junior.
The classification module 130 is configured to classify the user information sets participating in the group purchase according to the user level information in each user information, so as to obtain a store owner user set and a common user set; and during classification, classifying the users with the user grades meeting the preset grade conditions into one class, and classifying the users without the user grades meeting the preset grade conditions into another class. Wherein, the classification module 130 includes:
the first judging unit is used for judging whether the user grade information in each user information meets a preset grade condition or not, if so, the user is marked as a store owner user, and a store owner user set is established; if not, marking the user as a common user, and establishing a common user set. The preset level condition may be a preset condition, for example, the condition may be set to that the user level is higher than the middle level, the users with the user levels of the middle level and the high level may be marked as store owner users, and the store owner users are gathered together to serve as a store owner user set; other low-level users are marked as normal users, and the normal users are gathered together to be used as a normal user set.
The screening module 140 is configured to perform screening in the store owner user set and the common user set respectively according to preset grouping conditions to generate screening result information; the preset grouping condition can be information of times of user participation in grouping and information of times of user non-grouping. For example, the preset spelling condition may be that the user participates in the spelling 20 times and the user does not spell 10 times. The number of times of the user participating in the group spelling is 10, or the number of times of the user not spelling is 5. Among other things, the screening module 140 includes the following elements:
the information extraction unit is used for intensively extracting user participation group splicing times information and user non-splicing times information of the store leader user from the store leader user; the system is also used for extracting user participation grouping times information and user non-grouping times information of the common users from the common users in a centralized manner; the store leader user set comprises a plurality of store leader users, each store leader user set comprises user group-participating times information and user non-group-participating times information, the common user set comprises a plurality of common users, each common user set comprises user group-participating times information and user non-group-participating times information, and the user group-participating times information and the user non-group-participating times information can be obtained by counting the group-participating information of the user.
The second judgment unit is used for respectively judging whether the user participation grouping times information and the user non-grouping times information of the store keeper user and the common user meet preset grouping conditions, and if so, taking the store keeper user or the common user as a successful grouping user; and if not, the shop owner user or the common user is taken as the unsuccessfully-pieced user. And comparing the preset group-piecing condition with the acquired group-piecing times information of the users of the store keeper and the common users and the user unsuccessfully-pieced times information, and screening out users who successfully pieced together and users who unsuccessfully pieced together. The second judging unit comprises the following judging subunits for judging and screening:
the first judgment subunit is used for judging whether the information of the times of participation and group-splicing of each user in the shop leader user set and the information of the times of non-group-splicing of the users meet a preset first group-splicing condition or not, and if so, taking the shop leader user as a successful group-splicing user; if not, the shop owner user is taken as the unsuccessfully-pieced user; according to the preset first group-piecing condition, the group-piecing successful users and the group-piecing unsuccessful users in the group of the users of the store leader can be obtained by classifying the users of the store leader. The first spelling condition can satisfy the times of user participating in the spelling and the times of user not spelling simultaneously, or satisfy any one of the times of user participating in the spelling and the times of user not spelling, and the times in the condition are determined according to actual conditions. For example, the first chunking condition may be that the user participates in the chunking more than 10 times, and the user does not hit the middle less than 8 times. For example, the first spelling condition may be that the user participates in the spelling more than 20 times, or the user does not spell less than 10 times.
For example, the store leader user is concentrated with a store leader user a, a store leader user B and a store leader user C, the number of times of participating in the group-piecing of the user extracted to the store leader user a is 12, the number of times of non-piecing of the user is 5, the number of times of participating in the group-piecing of the user extracted to the store leader user B is 9, the number of times of non-piecing of the user is 6, the number of times of participating in the group-piecing of the user extracted to the store leader user C is 16, and the number of times of non-piecing of the user extracted to the store leader is 7; the preset first group-piecing conditions are that the times of the users participating in the group-piecing are more than 10 times and the times of the users not piecing are less than 8 times, and the results that the store leader user A and the store leader user C meet the preset first group-piecing conditions through comparison are obtained to serve as the successful group-piecing user and the store leader user B as the unsuccessful group-piecing user.
The second judgment subunit is used for judging whether the information of the times of participation in the group splicing of each user and the information of the times of non-group splicing of the users in the common user set meet a preset second group splicing condition or not, and if so, taking the common user as a group splicing successful user; and if not, taking the common user as the unsuccessfully-clustered user. According to the preset first grouping condition, common users in the common user set can be classified to obtain users who successfully group together in the common user set and users who unsuccessfully group together. The first spelling condition can satisfy the times of user participating in the spelling and the times of user not spelling simultaneously, or satisfy any one of the times of user participating in the spelling and the times of user not spelling, and the times in the condition are determined according to actual conditions. For example, the first chunking condition may be that the user participates in the chunking more than 5 times, and the user does not hit the middle less than 3 times. For example, the first spelling condition may be that the user participates in the spelling more than 6 times, or the user does not spell the middle less than 5 times.
For example, the common users are concentrated with a common user a, a common user B, and a common user C, the number of times of participating in the group-piecing of the user who extracts the common user a is 5, the number of times of not piecing the group of the user is 2, the number of times of participating in the group-piecing of the user who extracts the common user B is 6, the number of times of not piecing the group of the user is 1, the number of times of participating in the group-piecing of the user who extracts the common user C is 4, and the number of times of not piecing the group of the user is 0; the preset first group-piecing conditions are that the times of the users participating in the group-piecing are more than 4 times and the times of the users not piecing are less than 4 times, and the preset first group-piecing conditions which are met by the common users A and the common users B can be obtained through comparison and serve as successful group-piecing users and the unsuccessful group-piecing users.
And the information pushing module 150 is configured to generate and send successful grouping information to the successful grouping user in the screening result information according to the screening result information. The screening result information comprises information of users who successfully spell the group and information of users who unsuccessfully spell the group, successful information of the group is generated according to the information of the users who successfully spell the group in the screening result information, and the information is sent to the users who successfully spell the group. For example, screening out the user a and the user C as users who successfully spell the group, respectively generating information "user a honored, user C respecting that you have successfully spelled the group", "user C respecting that you have successfully spelled the group", and respectively sending the information to the user a and the user C.
In the implementation process, the user information acquisition module 110 acquires user information to be participated in group purchase and establishes a user information set participating in group purchase, the user information extraction module 120 extracts user level information of the users from the user information set, the classification module 130 classifies the user information set according to the user level information of each user to obtain a store leader user set and a common user set, the screening module 140 screens successful users from the store leader user set and the common user set respectively, and the information push module 150 generates successful information of group splicing according to screening result information and sends the successful information of group splicing to the successful users of group splicing. By classifying the participated users and respectively screening successful users for the grouping from different types of users, the successful users for grouping can be controlled, the finally obtained successful users for grouping are expected by merchants, and some malicious users for grouping are avoided as successful users for grouping, so that the viscosity between merchants and customers is improved, and the loss of customers is avoided.
The classification module 130 further includes a reward pushing unit, configured to generate reward information according to the user level information and push the reward information to store keeper users and general users. The rewards obtained vary according to the user's rating. The reward may be a cash reward, a points reward, or the like. For example: the captain awards 10 points after successfully piecing together, and the ordinary user awards 5 points after successfully piecing together. The reward pushing unit can also carry out reward according to the times of the group spelling and push the reward to the store keeper user and the common user. For example, if there is a commodity with a factory price of 40 yuan/piece and a party price of 68 yuan/piece, if the money amount of the red envelope is set to 5 yuan per person, if the user a participates in 7 times of party combination, only one of them is successful in the robbery, and 6 of them can be robbed to the red envelope.
In the implementation process, the reward pushing unit rewards store keeper users and common users according to user grades, so that the users can be attracted to continuously participate in group purchasing, the consumers can benefit the purchase cost of part of commodities by robbing the red packet, and the merchants remove the cost of advertising and the cost of commodity circulation at all levels of agents in a red packet mode, thereby really giving the consumers and sinking the consumption. The user can generate stickiness after getting real benefit. Thereby further improving the viscosity between the merchant and the customer and avoiding the loss of the customer.
Wherein, the classification module 130 further includes:
the point acquisition unit is used for acquiring the number of points in the user information of the common user; the acquisition of points may be a certain amount of reward sent each time a group purchase is participated in, may be a certain amount of reward obtained by recommending a new user to register, etc.
The third judging unit is used for judging whether the integral quantity meets the preset upgrading condition or not, and if so, marking the common user as a store owner user; if not, the process is ended. The preset upgrading condition can be that the number of the points reaches a certain number, the times of participating in the grouping and successfully purchasing and the like.
In the implementation process, the integral number of the common user is acquired through the integral acquisition unit, and the integral number of the common user is compared with the preset upgrading condition through the third judgment unit, so that whether the user can be upgraded to the shop owner user is judged. The participation of common users can be further improved, so that the viscosity between the users is further improved, and the loss of customers is reduced.
Based on the same inventive concept, the present invention further provides a method for processing data of a piecing together, please refer to fig. 2, and fig. 2 is a flowchart of a method for processing data of a piecing together according to an embodiment of the present invention. The grouping data processing method comprises the following steps:
step S110: acquiring user information participating in group purchase to establish a user information set participating in group purchase;
step S120: extracting user grade information in each user information;
step S130: classifying the user information sets participating in group purchase according to the user level information in each user information to obtain a store owner user set and a common user set;
step S140: screening in a shop owner user set and a common user set respectively according to preset grouping conditions to generate screening result information;
step S150: and generating and sending successful grouping information to the successful grouping user in the screening result information according to the screening result information.
The step of classifying the user information sets participating in group purchase according to the user level information in each user information to obtain the store owner user set and the common user set comprises the following steps:
judging whether the user grade information in each user information meets a preset grade condition, if so, marking the user as a store owner user, and establishing a store owner user set; if not, marking the user as a common user, and establishing a common user set.
In the implementation process, user information to be participated in group buying is obtained, a user information set participated in group buying is established, user grade information of the users is extracted from the user information set, the user information set is classified according to the user grade information of each user to obtain a store leader user set and a common user set, successful users for grouping are respectively screened out from the store leader user set and the common user set, and successful information for grouping is generated according to screening result information and is sent to successful users for grouping. By classifying the participated users and respectively screening successful users for the grouping from different types of users, the successful users for grouping can be controlled, the finally obtained successful users for grouping are expected by merchants, and some malicious users for grouping are avoided as successful users for grouping, so that the viscosity between merchants and customers is improved, and the loss of customers is avoided.
When the group-piecing and group-robbing commodity activity is set, the number of users can be defined by user, and the number of users can be adjusted, for example, the number of users is set to be 5-10. The group buying can be participated by paying a certain proportion of fixed money of the group price of the commodities appointed by the group buying. The personnel of the party can be set to be only matched with a certain proportion of the number of users and successfully carry out the robbery, the participating users who successfully carry out the robbery must pay the surplus of the successfully bought commodities within 24 hours in the future, and after the surplus is expired, the paid subscription is refunded by default. But does not affect its later participation in the piecing activity again. For the users who cannot be pieced together in the group, the prepaid fixed-deposit time of each user is withdrawn; and each person is issued a cash red packet with a certain amount of money, and the cash red packet is also used for payment and cash withdrawal in seconds. The user can be set to be not pieced together when the user is pieced together to buy the commodity for at least 6 times in the future so as to ensure that the user can obtain cash red packages for proper times, so that the interest of the user can be increased, and the expenditure of the commodity bought by the user can be hedged. Even a very small proportion of the participating users may be arranged to receive only dispensed cash packages without being pieced together a maximum of 10 consecutive times. The sense of participation of the user is stimulated. The user who successfully splices the commodity and pays for the commodity on time for a certain number of times can be set to honor as the store leader. The participation frequency in each day is unlimited or adjustable. And obtaining 1 point of the score every time the score is successfully spliced, and obtaining 30 times of the score, namely obtaining 30 points of the score, exchanging one commodity for free, initiating by an exchanger, and paying the freight by the goods. The score ranking list of the month, week and day users, the red package ranking list of the month, week and day users and the like can be generated. Restricting the area for shipment. Free of postage. The registration is a member. The background of the red packet issuing amount parameter can be set. The store keeper revenue may be: when the shop leader joins and successfully purchases 5 to 10 times, the shop leader directly recommends a new person to join and register as a member and participate in grouping to obtain a red purse, and simultaneously rewards the shop leader for a 1 Yuan money red purse; if the recommended member obtains 10 red packets every day, the salesman gains 10 yuan every day; if 20 members are recommended, the store manager can obtain 200 yuan daily; if 50 members are recommended, the store has 500 yuan of daily income, and so on.
Referring to fig. 3, fig. 3 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used for storing software programs and modules, such as program instructions/modules corresponding to the data processing system provided in the embodiments of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, so as to execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. 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 and/or flowchart illustration, and combinations of blocks in the block diagrams and/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.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
To sum up, the group-piecing data processing system and method provided by the embodiment of the present application, the group-piecing data processing system obtains user information to be participated in group buying through the user information obtaining module 110 and establishes a user information set participated in group buying, the user information extracting module 120 extracts user level information of the users from the user information set, the classifying module 130 classifies the user information set according to the user level information of each user to obtain a store leader user set and a common user set, the screening module 140 screens successful users from the store leader user set and the common user set respectively, and finally the information pushing module 150 generates successful group-piecing information according to the screening result information and sends the successful group-piecing information to the successful group-piecing users. By classifying the participated users and respectively screening successful users for the grouping from different types of users, the successful users for grouping can be controlled, the finally obtained successful users for grouping are expected by merchants, and some malicious users for grouping are avoided as successful users for grouping, so that the viscosity between merchants and customers is improved, and the loss of customers is avoided.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A system for chunking data, comprising:
the system comprises a user information acquisition module, a group buying module and a group buying module, wherein the user information acquisition module is used for acquiring user information participating in group buying so as to establish a user information set participating in group buying;
the user information extraction module is used for extracting user grade information in each user information;
the classification module is used for classifying the user information sets participating in group purchase according to the user grade information in each user information to obtain a store owner user set and a common user set;
the screening module is used for respectively screening in the store owner user set and the common user set according to the preset grouping condition to generate screening result information;
and the information pushing module is used for generating and sending the successful grouping information to the successful grouping user in the screening result information according to the screening result information.
2. The system of claim 1, wherein the classification module comprises:
the first judging unit is used for judging whether the user grade information in each user information meets a preset grade condition or not, if so, the user is marked as a store owner user, and a store owner user set is established; if not, marking the user as a common user, and establishing a common user set.
3. The system of claim 1, wherein the filtering module comprises:
the information extraction unit is used for intensively extracting user participation group splicing times information and user non-splicing times information of the store leader user from the store leader user; the system is also used for extracting user participation grouping times information and user non-grouping times information of the common users from the common users in a centralized manner;
the second judgment unit is used for respectively judging whether the user participation grouping times information and the user non-grouping times information of the store keeper user and the common user meet preset grouping conditions, and if so, taking the store keeper user or the common user as a successful grouping user; and if not, the shop owner user or the common user is taken as the unsuccessfully-pieced user.
4. The system according to claim 3, wherein the second determining unit comprises:
the first judgment subunit is used for judging whether the information of the times of participation and group-splicing of each user in the shop leader user set and the information of the times of non-group-splicing of the users meet a preset first group-splicing condition or not, and if so, taking the shop leader user as a successful group-splicing user; if not, the shop owner user is taken as the unsuccessfully-pieced user;
the second judgment subunit is used for judging whether the information of the times of participation in the group splicing of each user and the information of the times of non-group splicing of the users in the common user set meet a preset second group splicing condition or not, and if so, taking the common user as a group splicing successful user; and if not, taking the common user as the unsuccessfully-clustered user.
5. The system for processing data of a party according to claim 2, wherein the classification module further comprises a reward pushing unit for generating reward information according to the user level information and pushing the reward information to store-keeper users and general users.
6. The system of claim 2, wherein the classification module further comprises:
the point acquisition unit is used for acquiring the number of points in the user information of the common user;
the third judging unit is used for judging whether the integral quantity meets the preset upgrading condition or not, and if so, marking the common user as a store owner user; if not, the process is ended.
7. A method for processing data of a group, comprising the steps of:
acquiring user information participating in group purchase to establish a user information set participating in group purchase;
extracting user grade information in each user information;
classifying the user information sets participating in group purchase according to the user level information in each user information to obtain a store owner user set and a common user set;
screening in a shop owner user set and a common user set respectively according to preset grouping conditions to generate screening result information;
and generating and sending successful grouping information to the successful grouping user in the screening result information according to the screening result information.
8. The grouping data processing method according to claim 7, wherein the step of classifying the user information sets participating in the group purchase according to the user rating information in each user information to obtain the store owner user set and the general user set comprises the steps of:
judging whether the user grade information in each user information meets a preset grade condition, if so, marking the user as a store owner user, and establishing a store owner user set; if not, marking the user as a common user, and establishing a common user set.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 7-8.
10. A computer-readable storage 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 7-8.
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Application publication date: 20210723 |