CN112884218A - Data processing method and device for crowd planning based on labels - Google Patents
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Abstract
The application discloses a data processing method and device for crowd planning based on labels. The method comprises the following steps: by acquiring the user data of market operators, identifying the corresponding behavior data and label data in the user data, and performing data processing on the label data based on the behavior data, the setting of the threshold relation of the label data and the setting of the logic relation between labels corresponding to the label data are realized, the data obtained after processing are verified, the standard planning data are obtained, and the technical effect of improving the accuracy and efficiency of data processing of crowd planning is achieved.
Description
Technical Field
The application relates to the field of data visualization management, in particular to a data processing method and device for crowd planning based on tags.
Background
With the rapid development of information technology, personalized recommendation of users by a platform aiming at user tags is gradually developed, for example: in the medicine internet information service platform, the platform plans crowds and sets activities according to the labels of users.
Along with the rapid development of business and data model, user label geometry increases, and market operation personnel carry out crowd's planning and activity setting's demand constantly increases based on user label, among the prior art, mainly adopts the mode of artifical form input for the processing procedure of carrying out crowd's planning based on user label is directly perceived clear inadequately, and the operation is complicated, and leads to the data error because of artifical information transmission easily, has the lower problem of efficiency and accuracy.
Therefore, the existing artificial form data has the problem of low accuracy in crowd planning.
Content of application
The main purpose of the application is to provide a data processing method and device for crowd planning based on tags, when market operators plan crowds, required planning data for crowd planning is accurately and quickly generated by identifying behavior data and tag data corresponding to the market operators, and the technical effect of improving the accuracy and efficiency of crowd planning realized through tags is achieved.
In order to achieve the above object, the present application provides a data processing method for crowd planning based on tags.
In a second aspect of the present invention, a data processing apparatus for crowd planning based on tags is also presented.
In a third aspect of the present invention, a computer-readable storage medium is also presented.
In view of the above, according to a first aspect of the present invention, a data processing method for population planning based on tags is provided, including:
when population planning is carried out based on the label, user data is obtained, and the user data at least comprises: behavior data and label data, wherein the behavior data is data corresponding to the behavior data of the user;
performing logic relation processing on the tag data based on the behavior data to obtain first planning data;
performing identification processing on the behavior data to obtain user requirements corresponding to the user behavior data and obtain user requirement data;
performing data processing on the first planning data based on the demand data to obtain second planning data;
and verifying the second planning data, and outputting standard planning data if the second planning data passes verification.
Further, performing logical relationship processing on the tag data based on the behavior data to obtain first planning data, including:
identifying threshold planning data and combination relationship data in the behavior data;
identifying a tag value type in the tag data, and performing threshold planning processing on the tag data by combining the threshold planning data based on the tag value type;
and performing combined relation planning processing on the label data subjected to threshold value planning processing based on the combined relation data to obtain first planning data.
Further, performing data processing on the first planning data based on the demand data to obtain second planning data, including:
identifying user demand data in the behavior data, the user demand data including at least: managing demand data and format conversion demand data;
based on the management demand data, executing management operation corresponding to the management demand data on the first planning data;
and carrying out format conversion on the first planning data after the management operation based on the format conversion demand data to obtain second planning data.
Further, verifying the second planning data, and if the second planning data passes the verification, outputting standard planning data, including:
analyzing the second planning data to obtain a computer sentence corresponding to the second planning data;
based on a preset verification rule, performing simulation verification operation on the computer sentence corresponding to the second planning data to verify whether the computer sentence corresponding to the second planning data meets the preset verification rule;
and if the computer sentence corresponding to the second planning data meets a preset verification rule, outputting the standard planning data.
Further, before acquiring the user data, the method further includes:
acquiring initial label data, wherein the initial label data is acquired from a label database based on a preset label analysis rule;
converting the initial label data subjected to the logic operation based on a preset service conversion rule;
managing the converted initial label data to obtain a label pool column;
and identifying the behavior data, and acquiring the label data corresponding to the behavior data in the label pool column.
In a second aspect of the present invention, a data processing apparatus for performing crowd planning based on tags is provided, including:
the data acquisition device acquires user data when population planning is carried out based on the tags, wherein the user data at least comprises: behavior data and label data, wherein the behavior data is data corresponding to the behavior data of the user;
a data processing apparatus comprising: the first data processing device is used for carrying out logic relation processing on the tag data based on the behavior data to obtain first planning data;
the second data processing device executes identification processing on the behavior data to obtain user requirements corresponding to the user behavior data and obtain user requirement data;
performing data processing on the first planning data based on the demand data to obtain second planning data;
the data verification device is used for verifying the second planning data;
and the data output device outputs standard planning data if the second planning data passes the verification.
Further, the first data processing device performs logical relationship processing on the tag data based on the behavior data to obtain first planning data, and includes:
identifying threshold planning data and combination relationship data in the behavior data;
identifying a tag value type in the tag data, and performing threshold planning processing on the tag data by combining the threshold planning data based on the tag value type;
and performing combined relation planning processing on the label data subjected to threshold value planning processing based on the combined relation data to obtain first planning data.
Further, the second data processing device performs data processing on the first planning data based on the demand data to obtain second planning data, and includes:
identifying user demand data in the behavior data, the user demand data including at least: managing demand data and format conversion demand data;
based on the management demand data, executing management operation corresponding to the management demand data on the first planning data;
and carrying out format conversion on the first planning data after the management operation based on the format conversion demand data to obtain second planning data.
Further, the data verification device verifies the second planning data, and includes:
analyzing the second planning data to obtain a computer sentence corresponding to the second planning data;
based on a preset verification rule, performing simulation verification operation on the computer sentence corresponding to the second planning data to verify whether the computer sentence corresponding to the second planning data meets the preset verification rule;
and if the computer sentence corresponding to the second planning data meets a preset verification rule, outputting the standard planning data.
In a third aspect of the present invention, a computer-readable storage medium is proposed, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the data processing method of the associated accessory as described above.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in this application, carry out the in-process that crowd planned based on user label at market operation personnel, through the user data who obtains market operation personnel, discern behavioral data and the label data that correspond among the user data, based on behavioral data carries out data processing to label data, realize setting up the logical relation between the label that label data corresponds to label data threshold value relation, right the data that obtains after handling are verified, obtain standard planning data, have reached the technological effect that improves crowd planned data processing's rate of accuracy and efficiency.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
fig. 1 is a schematic flowchart of a data processing method for population planning based on tags according to the present application;
fig. 2 is a schematic flowchart of a data processing method for population planning based on tags according to the present application;
fig. 3 is a schematic flowchart of a data processing method for population planning based on tags according to the present application;
fig. 4 is a schematic flowchart of a data processing method for population planning based on tags according to the present application;
fig. 5 is a schematic flowchart of a data processing method for population planning based on tags according to the present application;
fig. 6 is a schematic structural diagram of a data processing apparatus for population planning based on tags according to the present application;
fig. 7 is a schematic structural diagram of another data processing apparatus for population planning based on tags according to the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, 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 only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, "connected" may be a fixed connection, a detachable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
Fig. 1 is a schematic flowchart of a data processing method for population planning based on tags, as shown in fig. 1, the method includes the following steps:
s101: when population planning is carried out based on the label, user data is obtained, and the user data at least comprises: behavior data and label data, wherein the behavior data is data corresponding to the behavior data of the user;
when a market operator performs crowd planning based on a label, user data of the market operator is acquired, wherein the user data at least comprises: behavior data and label data, wherein the label data is obtained based on the behavior data;
s102: performing logic relation processing on the tag data based on the behavior data to obtain first planning data;
and realizing the logic relation processing of the tag data through a JSPUMB open source tool on the basis of the behavior data, so that the market operators can conveniently carry out intuitive and concise crowd planning processing.
Fig. 2 shows a process of performing logical relationship processing on the tag data, as shown in fig. 2,
s201: identifying threshold planning data and combination relationship data in the behavior data;
s202: identifying a tag value type in the tag data, and performing threshold planning processing on the tag data by combining the threshold planning data based on the tag value type;
and identifying the tag value types in the tag data, such as time, distance, amount of money, region, gender, commodities and the like, wherein the tag value types are not listed one by one, and performing threshold value planning processing on the tag data by combining the threshold value planning data based on the tag value types, such as setting time interval, distance range, region number, gender setting and commodity type setting, wherein the tag value types are not listed one by one, so that the threshold value planning processing on the performance data is realized.
S203: and performing combined relation planning processing on the label data based on the combined relation data to obtain first planning data.
And based on the combined relation data, the combined relation data is a logical relation between different corresponding labels in the label data, such as a logical relation of sum, or, not, one-way, two-way and the like, and the label data subjected to threshold planning processing is subjected to combined relation planning to obtain first planning data.
S103: performing identification processing on the behavior data to obtain user requirements corresponding to the user behavior data and obtain user requirement data;
performing data processing on the first planning data based on the demand data to obtain second planning data;
fig. 3 shows a process for processing the first planning data on the basis of user demand data, as shown in fig. 3,
s301: identifying user demand data in the behavior data, the user demand data including at least: managing demand data and format conversion demand data;
s302: based on the management demand data, executing management operation corresponding to the management demand data on the first planning data;
the management requirement data at least comprises: the method comprises the steps of receiving a data storage requirement, a data submission requirement, a data output requirement, a data re-editing requirement and the like, if the requirement corresponding to the management requirement data is identified as the re-editing requirement, re-editing the first planning data based on the re-editing requirement, and re-executing a data processing process for generating the first planning data.
S303: and carrying out format conversion on the first planning data after the management operation based on the format conversion demand data to obtain second planning data.
The first planning data is obtained by processing data based on a JSPUMB open source tool, and the first planning data is assembled by a JSON assembler to obtain second planning data.
S104: and verifying the second planning data, and outputting standard planning data if the second planning data passes verification.
Fig. 4 shows a process of verifying the second planning data, as shown in fig. 4,
s401: analyzing the second planning data to obtain a computer sentence corresponding to the second planning data;
and the second planning data is JSON string data obtained by processing through a JSON assembler, the JSON string data corresponding to the second planning data is analyzed, and the JSON string data is analyzed and converted into a normalized SQL statement.
S402: based on a preset verification rule, performing simulation verification operation on the computer sentence corresponding to the second planning data to verify whether the computer sentence corresponding to the second planning data meets the preset verification rule;
and verifying the normalized SQL statement corresponding to the second planning data based on a preset verification rule.
S403: and if the computer sentence corresponding to the second planning data meets a preset verification rule, outputting the standard planning data.
If the SQL statement corresponding to the second planning data meets a preset verification rule, outputting the second planning data as standard planning data;
and if the SQL statement corresponding to the second planning data does not meet the preset verification rule, outputting planning data error prompt information.
Fig. 5 shows the preprocessing of the tag data, as shown in fig. 5,
s501: acquiring initial label data from a label database based on a preset label analysis rule;
s502: converting the initial label data subjected to the logic operation based on a preset service conversion rule;
managing the converted initial label data to obtain a label pool column;
and managing the converted initial label data based on a preset label classification rule to obtain a label pool column.
S503: and identifying the behavior data, and acquiring the label data corresponding to the behavior data in the label pool column.
The behavior data comprises behavior data for selecting the label data in the label pool column, and the label data corresponding to the behavior data is obtained based on the behavior data and corresponds to a plurality of labels.
Fig. 6 is a schematic structural diagram of a data processing device for population planning by using a tag according to the present application, which is specifically as follows
The data acquisition device 61 acquires user data when performing crowd planning based on the tag, wherein the user data at least comprises: behavior data and label data, wherein the behavior data is data corresponding to the behavior data of the user;
data processing means 62, comprising: the first data processing device is used for carrying out logic relation processing on the tag data based on the behavior data to obtain first planning data;
the second data processing device executes identification processing on the behavior data to obtain user requirements corresponding to the user behavior data and obtain user requirement data;
performing data processing on the first planning data based on the demand data to obtain second planning data;
a data verification device 63 for verifying the second planning data;
and a data output device 64 for outputting standard planning data if the second planning data passes the verification.
Fig. 7 is a schematic structural diagram of another data processing device for population planning by using a tag according to the present application, which is specifically as follows:
a first data processing device 71, configured to perform logical relationship processing on the tag data based on the behavior data to obtain first planning data;
identifying threshold planning data and combination relationship data in the behavior data;
identifying a tag value type in the tag data, and performing threshold planning processing on the tag data by combining the threshold planning data based on the tag value type;
and performing combined relation planning processing on the tag data based on the combined relation data to obtain first planning data.
And the second data processing device 72 performs identification processing on the behavior data to obtain a user requirement corresponding to the user behavior data, and obtains user requirement data.
Identifying user demand data in the behavior data, the user demand data including at least: managing demand data and format conversion demand data;
based on the management demand data, executing management operation corresponding to the management demand data on the first planning data;
and carrying out format conversion on the first planning data after the management operation based on the format conversion demand data to obtain second planning data.
The specific manner of executing the operations of the units in the above embodiments has been described in detail in the embodiments related to the method, and will not be elaborated herein.
In summary, in the present application, in the process of performing crowd planning by market operators based on user tags, by acquiring user data of the market operators, behavior data and tag data corresponding to the user data are identified, and data processing is performed on the tag data based on the behavior data, so as to realize setting of a threshold relationship of the tag data and setting of a logical relationship between tags corresponding to the tag data, verify the data obtained after processing, acquire standard planning data, and achieve the technical effect of improving accuracy and efficiency of data processing of crowd planning.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
It will be apparent to those skilled in the art that the various elements or steps of the present application described above may be implemented by a general purpose computing device, centralized on a single computing device or distributed across a network of multiple computing devices, or alternatively, may be implemented by program code executable by a computing device, such that the program code may be stored in a memory device and executed by a computing device, or may be implemented by individual integrated circuit modules, or by a plurality of modules or steps included in the program code as a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
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.
Claims (10)
1. A data processing method for population planning based on tags is characterized by comprising the following steps:
when population planning is carried out based on the label, user data is obtained, and the user data at least comprises: behavior data and label data, wherein the behavior data is data corresponding to the behavior data of the user;
performing logic relation processing on the tag data based on the behavior data to obtain first planning data;
performing identification processing on the behavior data to obtain user requirements corresponding to the user behavior data and obtain user requirement data;
performing data processing on the first planning data based on the demand data to obtain second planning data;
and verifying the second planning data, and outputting standard planning data if the second planning data passes verification.
2. The data processing method for crowd planning according to claim 1, wherein performing logical relationship processing on the tag data based on the behavior data to obtain first planning data comprises:
identifying threshold planning data and combination relationship data in the behavior data;
identifying a tag value type in the tag data, and performing threshold planning processing on the tag data by combining the threshold planning data based on the tag value type;
and performing combined relation planning processing on the tag data based on the combined relation data to obtain first planning data.
3. The data processing method for crowd planning according to claim 1, wherein performing data processing on the first planning data based on the demand data to obtain second planning data comprises:
identifying user demand data in the behavior data, the user demand data including at least: managing demand data and format conversion demand data;
based on the management demand data, executing management operation corresponding to the management demand data on the first planning data;
and carrying out format conversion on the first planning data after the management operation based on the format conversion demand data to obtain second planning data.
4. The method of claim 1, wherein verifying the second planning data and outputting standard planning data if the second planning data is verified comprises:
analyzing the second planning data to obtain a computer sentence corresponding to the second planning data;
based on a preset verification rule, performing simulation verification operation on the computer sentence corresponding to the second planning data to verify whether the computer sentence corresponding to the second planning data meets the preset verification rule;
and if the computer sentence corresponding to the second planning data meets a preset verification rule, outputting the standard planning data.
5. The method of data processing for population planning according to claim 1, further comprising, prior to obtaining user data:
acquiring initial label data, wherein the initial label data is acquired from a label database based on a preset label analysis rule;
converting the initial label data subjected to the logic operation based on a preset service conversion rule;
managing the converted initial label data to obtain a label pool column;
and identifying the behavior data, and acquiring the label data corresponding to the behavior data in the label pool column.
6. A data processing apparatus for crowd planning based on tags, comprising:
the data acquisition device acquires user data when population planning is carried out based on the tags, wherein the user data at least comprises: behavior data and label data, wherein the behavior data is data corresponding to the behavior data of the user;
a data processing apparatus comprising: the first data processing device is used for carrying out logic relation processing on the tag data based on the behavior data to obtain first planning data;
the second data processing device executes identification processing on the behavior data to obtain user requirements corresponding to the user behavior data and obtain user requirement data;
performing data processing on the first planning data based on the demand data to obtain second planning data;
the data verification device is used for verifying the second planning data;
and the data output device outputs standard planning data if the second planning data passes the verification.
7. The data processing apparatus for population planning based on tag of claim 6, wherein the first data processing apparatus for performing logic relationship processing on the tag data based on the behavior data to obtain the first planning data comprises:
identifying threshold planning data and combination relationship data in the behavior data;
identifying a tag value type in the tag data, and performing threshold planning processing on the tag data by combining the threshold planning data based on the tag value type;
and performing combined relation planning processing on the tag data based on the combined relation data to obtain first planning data.
8. The data processing apparatus for population planning based on tags according to claim 6, wherein the second data processing apparatus for performing data processing on the first planning data based on the demand data to obtain second planning data comprises:
identifying user demand data in the behavior data, the user demand data including at least: managing demand data and format conversion demand data;
based on the management demand data, executing management operation corresponding to the management demand data on the first planning data;
and carrying out format conversion on the first planning data after the management operation based on the format conversion demand data to obtain second planning data.
9. The tag-based population planning data processing apparatus of claim 6, wherein the data verification means, for verifying the second planning data, comprises:
analyzing the second planning data to obtain a computer sentence corresponding to the second planning data;
based on a preset verification rule, performing simulation verification operation on the computer sentence corresponding to the second planning data to verify whether the computer sentence corresponding to the second planning data meets the preset verification rule;
and if the computer sentence corresponding to the second planning data meets a preset verification rule, outputting the standard planning data.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of a data processing method of an associated accessory according to any one of claims 1 to 5.
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| US20150248629A1 (en) * | 2014-02-28 | 2015-09-03 | Wal-Mart Stores, Inc. | Crowd planning tool |
| TW201828196A (en) * | 2017-01-23 | 2018-08-01 | 阿里巴巴集團服務有限公司 | Method and device for processing user behavior data capable of improving accuracy in positioning items to be searched |
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