CN108596682B - Data processing method and system - Google Patents
Data processing method and system Download PDFInfo
- Publication number
- CN108596682B CN108596682B CN201810416017.3A CN201810416017A CN108596682B CN 108596682 B CN108596682 B CN 108596682B CN 201810416017 A CN201810416017 A CN 201810416017A CN 108596682 B CN108596682 B CN 108596682B
- Authority
- CN
- China
- Prior art keywords
- information
- target cluster
- members
- time information
- attribute information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0236—Incentive or reward received by requiring registration or ID from user
Abstract
The embodiment of the invention provides a data processing method and a data processing system, relates to the technical field of data processing, and can classify members according to different preset conditions, so that the judgment accuracy is improved. The data processing method provided by the embodiment of the invention comprises the following steps: acquiring attribute information of a member; extracting the registration time information and the current level information of the members in the attribute information; determining a target cluster corresponding to the member according to the registration time information and the current level information; and adding a target cluster label to the attribute information of the member.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data processing method and system.
Background
With the development of electronic commerce, various marketing modes and experiences in the market are implemented electronically in a computer system. Each e-commerce model is presented to the user via a web site. To classify users, websites generally differentiate users into affiliates and non-affiliates based on whether the users are registered with the website.
When each user registers on the website, the website requires the member to fill in some user attribute information, such as age, registration date, gender, location, registration source, affiliated industry and the like, and the website stores the attribute information of the member and the member identification of the member in a database.
Different members have different loyalty and purchasing power to websites, so different member grade systems are promoted, different benefits or benefits are provided for different grades, and the members are prompted to increase the times of purchasing products and even actively purchase high-grade members in order to obtain more benefits. In the prior art, the member upgrading calculation mode is single, so that the accuracy is low.
Disclosure of Invention
The embodiment of the invention provides a data processing method and a data processing system, which can determine whether to upgrade a member according to different preset conditions, so that the accuracy of judgment is improved.
In a first aspect, an embodiment of the present invention provides a data processing method, including:
acquiring attribute information of a member;
extracting the registration time information and the current level information of the members in the attribute information;
determining a target cluster corresponding to the member according to the registration time information and the current level information;
and adding a target cluster label to the attribute information of the member.
The above aspect and any possible implementation manner further provide an implementation manner, where the determining, according to the registration time information and the current level information, a target cluster corresponding to the member includes:
the difference value between the registration time information and the current time information is greater than or equal to a first threshold value, the current grade information is a second grade, and a target cluster corresponding to the member is determined to be a first cluster; alternatively, the first and second electrodes may be,
and determining that the target cluster corresponding to the member is a second cluster, wherein the difference value between the registration time information and the current time information is smaller than a first threshold value, and the current grade information is a first grade.
The above aspect and any possible implementation manner further provide an implementation manner, where the adding a target cluster tag to attribute information of the member includes:
adding a first cluster tag to attribute information of the member; alternatively, the first and second electrodes may be,
and adding a second cluster label to the attribute information of the member.
The above-described aspects and any possible implementations further provide an implementation, and the method further includes:
and pushing messages to all members corresponding to the target cluster label.
The above aspect and any possible implementation manner further provide an implementation manner, where pushing a message to all members corresponding to the target cluster label includes:
pushing a first message to all members corresponding to the first target cluster label; alternatively, the first and second electrodes may be,
and pushing a second message to all members corresponding to the second target cluster label.
In a second aspect, an embodiment of the present invention further provides a data processing system, including:
an acquisition unit configured to acquire attribute information of a member;
the extraction unit is used for extracting the registration time information and the current level information of the members in the attribute information;
a determining unit, configured to determine, according to the registration time information and the current level information, a target cluster corresponding to the member;
and the adding unit is used for adding the target cluster label to the attribute information of the member.
As to the above-mentioned aspect and any possible implementation manner, further provided is an implementation manner, where the determining unit is specifically configured to:
the difference value between the registration time information and the current time information is greater than or equal to a first threshold value, the current grade information is a second grade, and a target cluster corresponding to the member is determined to be a first cluster; alternatively, the first and second electrodes may be,
and determining that the target cluster corresponding to the member is a second cluster, wherein the difference value between the registration time information and the current time information is smaller than a first threshold value, and the current grade information is a first grade.
The above-mentioned aspects and any possible implementation further provide an implementation, and the adding unit is specifically configured to
Adding a first cluster tag to attribute information of the member; alternatively, the first and second electrodes may be,
and adding a second cluster label to the attribute information of the member.
The above-described aspects and any possible implementation further provide an implementation, and the system further includes:
and the pushing unit is used for pushing messages to all members corresponding to the target cluster label.
The above-mentioned aspect and any possible implementation manner further provide an implementation manner, where the pushing unit is specifically configured to:
pushing a first message to all members corresponding to the first target cluster label; alternatively, the first and second electrodes may be,
and pushing a second message to all members corresponding to the second target cluster label.
According to the data processing method and the data processing system provided by the embodiment of the invention, the acquired attribute information of the member is processed, the registration time information and the current level information of the member are extracted, the target cluster corresponding to the member is determined according to the registration time information and the current level information, and the target cluster label is added to the attribute information of the member.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of an embodiment of a data processing method according to the present invention;
FIG. 2 is another flow chart of an embodiment of a data processing method according to the present invention;
FIG. 3 is a block diagram of an embodiment of a data processing system according to the present invention;
fig. 4 is another schematic structural diagram of a data processing system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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 invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely a relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B, may represent: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The word "if," as used herein, may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection," depending on the context. Similarly, the phrase "if determined" or "if detected (a stated condition or event)" may be interpreted as "upon determining" or "in response to determining" or "upon detecting (a stated condition or event)" or "in response to detecting (a stated condition or event)", depending on the context.
In the prior art, in order to enhance loyalty and purchasing power of old users, electronic commerce systems often set some strategies to give the old users benefits or welfare. Since different users have different purchasing powers, purchasing habits and the like, in order to ensure fairness and fairness as much as possible, whether to give preference or welfare to the old user in priority is considered for the electronic commerce system. How to determine the old user can be determined by attribute information used when the user registers a member on the website, registration time, and the like. Then, whether the member meets the condition of needing to be upgraded is judged, and whether the member meets the requirement of upgrading the member is further determined. Based on this, in an embodiment of the present invention, a data processing method is provided to improve accuracy of determining member information, specifically, fig. 1 is a flowchart of an embodiment of the data processing method provided in the embodiment of the present invention, and as shown in fig. 1, the data processing method in the embodiment of the present invention may specifically include the following steps:
101. attribute information of the member is acquired.
In the embodiment of the present invention, in order to store the member registration information, a member database is established in advance, each member has a form of its own in the database, and contents of forms filled by the user at the time of website registration, such as age, registration date, sex, location, registration source, industry, disposable income, and the like, are indicated in the forms. Correspondingly, each member also carries the system time when the registration is successful, namely the registration time information when the registration is successful. And current rating information of members, etc., such as primary members, intermediate members, advanced members, etc. In order to prevent the attribute information of different users from overlapping, in the embodiment of the present invention, the ID or the mobile phone number of the user in the attribute information is used as the unique identifier.
102. And extracting the registration time information and the current level information of the members in the attribute information.
103. And determining a target cluster corresponding to the member according to the registration time information and the current grade information.
In the embodiment of the present invention, all data in the member database are counted, specifically, the registration time information and the current level information are counted, and in terms of the registration time information, at least one threshold is set according to all the statistical data, each threshold represents a difference between the registration time information and the current time information, for example, if the first threshold is 3 years, a difference between a year in the registration time information and a year in the current time information is equal to 3. In the aspect of the grade information, each member has a corresponding grade in the member database, so after the current grade information is counted, the member at which grade needs to be upgraded can be determined according to the distribution characteristics embodied by the whole data. For example, the first level is a middle member and the second level is a primary member.
In order to upgrade different target cluster members, it is necessary to determine which members are included in each target cluster, and therefore, in the embodiment of the present invention, at least two target clusters may be preset. Specifically, the difference value between the registration time information and the current time information is greater than or equal to a first threshold, and the current level information is a second level, and a target cluster corresponding to the member is determined to be a first cluster; or, the difference between the registration time information and the current time information is smaller than a first threshold, and the current level information is a first level, and the target cluster corresponding to the member is determined to be a second cluster.
It is understood that, in the embodiment of the present invention, only the classification of two target clusters is illustrated, and in practical applications, a plurality of target clusters and corresponding classification criteria may be set as needed.
In a specific implementation process, the member may be further classified based on the successful transaction rate, the successful transaction rate is determined according to the historical purchase record information, the successful transaction rate is greater than or equal to a second threshold, the current level information is a second level, and the target cluster corresponding to the member is determined to be a third cluster.
104. And adding the target cluster label to the attribute information of the member.
Since at least two target cluster classification manners are listed in step 103, correspondingly, the first cluster corresponds to the first cluster label, and the second cluster corresponds to the second cluster label. Adding the target cluster label to the attribute information of the member may be adding the first cluster label to the attribute information of the member; or adding a second cluster label to the attribute information of the member.
It can be understood that, in the embodiment of the present invention, only the way of adding the tags to the users in the two target clusters is listed, and in practical application, a plurality of target clusters may be set as needed, and corresponding tags are added respectively.
According to the data processing method provided by the embodiment of the invention, the acquired attribute information of the member is processed, the registration time information and the current level information of the member are extracted, the target cluster corresponding to the member is determined according to the registration time information and the current level information, and the target cluster label is added into the attribute information of the member.
Further, on the basis of the foregoing, the embodiment of the present invention may further determine corresponding benefit or benefit information for each target cluster, which requires to push different information to different members according to the target cluster tags, specifically, as shown in fig. 2, fig. 2 is another flowchart of the embodiment of the data processing method provided in the embodiment of the present invention, and as shown in fig. 2, the data processing method according to the embodiment of the present invention may further include the following steps:
105. and pushing a message to all members corresponding to the target cluster label.
In the embodiment of the present invention, the push message may include at least one kind of offer information, for example, information such as a full package mail, a product discount, a priority purchase, and the like. And correspondingly, sending a push message to each target cluster in the member database based on the target cluster label. The push message can output corresponding prompt information to the member in the form of a short message, an application notification, and the like.
As can be seen from the foregoing, in the embodiment of the present invention, the member is divided into at least one target cluster according to different set conditions, and then different messages may be sent to different target clusters. Pushing a first message to all members corresponding to the first target cluster label; or pushing the second message to all members corresponding to the second target cluster label.
It can be understood that, in the embodiment of the present invention, only the manner of pushing messages to users in two target clusters is listed, and in practical application, a plurality of target clusters may be set as needed to push different messages respectively.
As can be seen from the foregoing, in the embodiment of the present invention, by pushing different messages to different target clusters, on one hand, flexibility can be improved, and on the other hand, the platform is also facilitated to manage different users.
In order to implement the foregoing method content, an embodiment of the present invention further provides a data processing system, and specifically, fig. 3 is a schematic structural diagram of the data processing system embodiment provided in the embodiment of the present invention, and as shown in fig. 3, the data processing system according to the embodiment of the present invention may include: an acquisition unit 11, an extraction unit 12, a determination unit 13, and an addition unit 14.
An obtaining unit 11, configured to obtain attribute information of a member.
And an extracting unit 12, configured to extract the registration time information and the current level information of the member in the attribute information.
And the determining unit 13 is used for determining the target cluster corresponding to the member according to the registration time information and the current grade information.
An adding unit 14, configured to add the target cluster label to the attribute information of the member.
In a specific implementation process, the determining unit 13 is specifically configured to:
the difference value between the registration time information and the current time information is greater than or equal to a first threshold value, the current grade information is a second grade, and a target cluster corresponding to the member is determined to be a first cluster; alternatively, the first and second electrodes may be,
and determining that the target cluster corresponding to the member is a second cluster, wherein the difference value between the registration time information and the current time information is smaller than a first threshold value, and the current grade information is a first grade.
In a specific implementation, the adding unit 14 is specifically configured to:
adding a first cluster label to attribute information of the member; alternatively, the first and second electrodes may be,
and adding a second cluster label to the attribute information of the member.
Fig. 4 is another schematic structural diagram of an embodiment of a data processing system according to an embodiment of the present invention, and as shown in fig. 4, the data processing system according to the embodiment of the present invention may further include: a push unit 15.
And the pushing unit 15 is used for pushing the message to all the members corresponding to the target cluster label.
In a specific implementation process, the pushing unit 15 is specifically configured to:
pushing a first message to all members corresponding to the first target cluster label; alternatively, the first and second electrodes may be,
and pushing a second message to all members corresponding to the second target cluster label.
The system of this embodiment may be configured to implement the technical solutions of the method embodiments shown in fig. 1 or fig. 2, and the implementation principles and technical effects are similar, which are not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a Processor (Processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. A data processing method, comprising:
acquiring attribute information of a member;
extracting the registration time information and the current level information of the members in the attribute information;
determining a target cluster corresponding to the member according to the registration time information and the current level information;
adding a target cluster label to the attribute information of the member; after the current level information is obtained, determining the level members needing upgrading processing according to the distribution characteristics of the integral member data;
upgrading different target cluster members; setting at least two target clusters;
the difference value between the registration time information and the current time information is greater than or equal to a first threshold value, the current grade information is a second grade, and a target cluster corresponding to the member is determined to be a first cluster;
and determining that the target cluster corresponding to the member is a second cluster, wherein the difference value between the registration time information and the current time information is smaller than a first threshold value, and the current grade information is a first grade.
2. The method of claim 1, wherein the adding the target cluster label to the attribute information of the member comprises:
adding a first cluster tag to attribute information of the member; alternatively, the first and second electrodes may be,
and adding a second cluster label to the attribute information of the member.
3. The method of claim 1, further comprising:
and pushing messages to all members corresponding to the target cluster label.
4. The method of claim 3, wherein pushing messages to all members corresponding to the target cluster label comprises:
pushing a first message to all members corresponding to the first target cluster label; alternatively, the first and second electrodes may be,
and pushing a second message to all members corresponding to the second target cluster label.
5. A data processing system, comprising:
an acquisition unit configured to acquire attribute information of a member;
the extraction unit is used for extracting the registration time information and the current level information of the members in the attribute information;
a determining unit, configured to determine, according to the registration time information and the current level information, a target cluster corresponding to the member;
an adding unit configured to add a target cluster tag to attribute information of the member;
wherein, the determining unit is specifically configured to: after the current level information is obtained, determining the level members needing upgrading processing according to the distribution characteristics of the integral member data; upgrading different target cluster members; setting at least two target clusters; the difference value between the registration time information and the current time information is greater than or equal to a first threshold value, the current grade information is a second grade, and a target cluster corresponding to the member is determined to be a first cluster; alternatively, the first and second electrodes may be,
and determining that the target cluster corresponding to the member is a second cluster, wherein the difference value between the registration time information and the current time information is smaller than a first threshold value, and the current grade information is a first grade.
6. The system according to claim 5, wherein the adding unit is specifically configured to:
adding a first cluster label to the attribute information of the member; alternatively, the first and second electrodes may be,
and adding a second cluster label to the attribute information of the member.
7. The system of claim 5, further comprising:
and the pushing unit is used for pushing messages to all members corresponding to the target cluster label.
8. The system according to claim 7, wherein the pushing unit is specifically configured to:
pushing a first message to all members corresponding to the first target cluster label; alternatively, the first and second electrodes may be,
and pushing a second message to all members corresponding to the second target cluster label.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810416017.3A CN108596682B (en) | 2018-05-03 | 2018-05-03 | Data processing method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810416017.3A CN108596682B (en) | 2018-05-03 | 2018-05-03 | Data processing method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108596682A CN108596682A (en) | 2018-09-28 |
| CN108596682B true CN108596682B (en) | 2022-06-24 |
Family
ID=63620646
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810416017.3A Active CN108596682B (en) | 2018-05-03 | 2018-05-03 | Data processing method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108596682B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104967552A (en) * | 2014-11-12 | 2015-10-07 | 腾讯科技（深圳）有限公司 | Message push method and apparatus |
| CN105281925A (en) * | 2014-06-30 | 2016-01-27 | 腾讯科技（深圳）有限公司 | Network service user group dividing method and device |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003203053A (en) * | 2002-01-09 | 2003-07-18 | Toshiba Tec Corp | Member information unitary management system and member information unitary management service |
| CN102984270A (en) * | 2012-12-12 | 2013-03-20 | 北京奇虎科技有限公司 | Message push server and method |
| CN103617545A (en) * | 2013-11-27 | 2014-03-05 | 上海新大陆翼码信息科技有限公司 | System and method for electronic member management |
| CN103685502B (en) * | 2013-12-09 | 2017-07-25 | 腾讯科技（深圳）有限公司 | A kind of information push method, apparatus and system |
| CN105491539B (en) * | 2014-09-18 | 2018-12-07 | 博雅网络游戏开发（深圳）有限公司 | Message pushes management method and device |
| CN105243558A (en) * | 2015-09-17 | 2016-01-13 | 四川润心琢玉科技有限公司 | Shopping mall advertisement precise publishing system based on RFID |
-
2018
- 2018-05-03 CN CN201810416017.3A patent/CN108596682B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105281925A (en) * | 2014-06-30 | 2016-01-27 | 腾讯科技（深圳）有限公司 | Network service user group dividing method and device |
| CN104967552A (en) * | 2014-11-12 | 2015-10-07 | 腾讯科技（深圳）有限公司 | Message push method and apparatus |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108596682A (en) | 2018-09-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108416614A (en) | Sending method, device, electronic equipment and the storage medium of virtual objects | |
| CN110852793A (en) | Document recommendation method and device and electronic equipment | |
| CN107016587B (en) | Personalized page pushing method and device | |
| CN106897905B (en) | Method and device for pushing information and electronic equipment | |
| CN109299356B (en) | Activity recommendation method and device based on big data, electronic equipment and storage medium | |
| US20120239590A1 (en) | Managing customer communications among a plurality of channels | |
| CN108648005A (en) | Data processing method and system | |
| EP3543943A1 (en) | Purchase information utilization system, purchase information utilization method, and program | |
| CN105812473B (en) | Data processing method and device | |
| CN110782291A (en) | Advertisement delivery user determination method and device, storage medium and electronic device | |
| JP2016045866A (en) | Coupon distribution system | |
| CN112000884A (en) | User content recommendation method and device, server and storage medium | |
| CN111083211A (en) | User touch method and system based on big data platform | |
| CN108595580B (en) | News recommendation method, device, server and storage medium | |
| CN111582899A (en) | Method, device and system for quantizing display link effect and storage medium | |
| CN108596682B (en) | Data processing method and system | |
| CN112184332A (en) | Method, device and equipment for pushing activity information | |
| CN108549722B (en) | Multi-platform data publishing method, system and medium | |
| KR101992544B1 (en) | Advertising platform server and its method | |
| CN111178934B (en) | Method and device for acquiring target object | |
| CN108198058A (en) | Method of Commodity Recommendation and device | |
| JP6888243B2 (en) | Information processing equipment, information processing methods, and programs | |
| CN114840659A (en) | Information recommendation method and device, electronic equipment and storage medium | |
| CN112835882A (en) | Information prediction method, information prediction device, electronic equipment and storage medium | |
| CN111681057A (en) | Method and device for processing media resource for information delivery |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |