CN115374368A - Internet-based network tag data processing method and system - Google Patents
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Abstract
According to the internet-based net tag data processing method and system, the internet net tag data carrying similar recording directions and the corresponding user behavior data are obtained, after the internet net tag data are optimized, the net tag data optimization result of the internet net tag data can be determined, then the net tag data optimization result of the internet net tag data is identified through the user behavior data, the identification processing result of the internet net tag data is obtained, the net tag data optimization result of the internet net tag data is identified, the obtained identification processing result of the internet net tag data is accurate and reliable, and therefore the credibility of the identification processing result is improved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a method and a system for processing network label data based on the Internet.
Background
The internet refers to a new state developed by the internet under the promotion of innovation (an innovative state of an information era and a knowledge society), and is also a new state developed and promoted by the internet state under the promotion of innovation of the knowledge society.
At present, the network tag data are more and more diversified, and the network tag data are processed in batches, so that interference among different network tag data may occur, and therefore, the network tag data are difficult to be accurately and reliably processed.
Disclosure of Invention
In order to solve the technical problems in the related art, the application provides a method and a system for processing the network tag data based on the Internet.
In a first aspect, a method for processing internet-based tag data is provided, where the method at least includes: the method comprises the steps of obtaining internet-based net label data processing data and a plurality of corresponding user behavior data, wherein the user behavior data and the internet-based net label data processing data carry similar recording directions; optimizing the internet-based net tag data processing data to generate a net tag data optimization result of the internet-based net tag data processing data; and carrying out identification processing on the net tag data optimization result of the net tag data processing data based on the internet by combining the plurality of user behavior data, and determining the identification processing result of the net tag data processing data based on the internet.
In an independently implemented embodiment, the obtaining internet-based tag data processing data and a corresponding plurality of user behavior data includes: acquiring a plurality of matching network signing subjects carrying similar recording directions with the network signing data processing data based on the Internet; obtaining the behavior record data relevance and behavior record data difference between each matching network signing subject and the network signing data processing data based on the Internet; screening the set number of matching network signing subjects with the correlation of the behavior record data and the difference of the behavior record data meeting the specified requirements, and determining the matching network signing subjects as the user behavior data.
In an independently implemented embodiment, the optimizing the internet-based web id data processing data to generate a web id data optimization result of the internet-based web id data processing data includes: and adding a first element and a second element to all the net sign events which are not determined by the identification processing result in the net sign data processing data based on the Internet at will to form a net sign data optimization result of the net sign data processing data based on the Internet.
In an independently implemented embodiment, the identifying, with reference to the user behavior data, the net sign data optimization result of the internet-based net sign data processing data, and determining the identification processing result of the internet-based net sign data processing data, include: for each net sign event in the internet-based net sign data processing data, identifying and processing through an identification processing result of each tendency description in the net sign data optimization result in a partial behavior record data set in the internet-based net sign data processing data corresponding to a real-time net sign event to obtain a first identification processing result of the real-time net sign event in the internet-based net sign data processing data; updating a first identification processing result of the real-time network tagging event in the internet-based network tagging data processing data to obtain a target identification processing result of the real-time network tagging event in the internet-based network tagging data processing data; and obtaining the identification processing result of the internet-based net label data processing data based on the target identification processing result of each net label event in the internet-based net label data processing data.
In an independently implemented embodiment, the performing, by identifying, by an identification processing result in the web id data optimization result, each trend in a partial behavior record data set in the internet-based web id data processing data corresponding to a real-time web id event to obtain a first identification processing result of the real-time web id event in the internet-based web id data processing data includes: determining a plurality of tendency descriptions in a partial behavior record data set corresponding to the real-time network tagging event; comparing the plurality of tendency descriptions with dimensionless simplified variables of the real-time net-signing event between the internet-based net-signing data processing data and the user behavior data, and determining the identification processing result of the corresponding dimensionless simplified variable with the optimal tendency description in the net-signing data optimization result as the first identification processing result of the real-time net-signing event in the internet-based net-signing data processing data.
In an independently implemented embodiment, the determining a plurality of trend descriptions in the partial behavior record dataset corresponding to the real-time web tagging event includes: planning a plurality of tendency description ranges in a part of behavior record data sets corresponding to the real-time network tagging events; and in each tendency description range, screening not less than one net signing event carrying the optimal dimensionless simplified variable to determine the tendency description.
In an independently implemented embodiment, the trend description ranges include a plurality of key ranges derived from the real-time net-signing event based on the real-time net-signing event, and/or an interval range based on the real-time net-signing event.
In an independently implemented embodiment, the updating the first recognition processing result of the real-time network tagging event in the internet-based network tagging data processing data to obtain the target recognition processing result of the real-time network tagging event in the internet-based network tagging data processing data includes: denoising a first element and a second element of the real-time network tagging event in the internet-based network tagging data processing data; comparing the dimensionless simplified variable before denoising with the dimensionless simplified variable after denoising; and in response to the fact that the denoised dimensionless simplified variable is superior to the dimensionless simplified variable before denoising, converting a first element and a second element of the real-time network tagging event in the internet-based network tagging data processing data into the denoised first element and second element, and obtaining a target identification processing result of the real-time network tagging event in the internet-based network tagging data processing data.
In an independently implemented embodiment, after the identification processing of the net sign data optimization result of the internet-based net sign data processing data is performed in combination with the user behavior data, and the identification processing result of the internet-based net sign data processing data is determined, the method further includes: and performing first element detection on the identification processing result of the internet-based net label data processing data by combining the internet-based net label data processing data and the plurality of user behavior data to obtain a first element detection result of the internet-based net label data processing data.
In an independently implemented embodiment, the performing, in combination with the internet-based web id data processing data and the user behavior data, a first element detection on a recognition processing result of the internet-based web id data processing data to obtain a first element detection result of the internet-based web id data processing data includes: combining the identification processing result of the internet-based net label data processing data and the identification processing results of the user behavior data to obtain a plurality of corresponding distribution anomalies and distribution first element anomalies; for each net label event, determining whether the corresponding distribution abnormities and the distribution first element abnormities meet the specified requirements; responding to a plurality of distribution anomalies corresponding to the real-time network signing event and the distribution first element anomaly to meet the specified requirements, and generating that the identification processing result of the real-time network signing event is correct; and generating an error of the identification processing result of the real-time network tagging event in response to the fact that the plurality of distribution exceptions corresponding to the real-time network tagging event and the distribution first element exception do not meet the specified requirements.
In a second aspect, an internet-based network label data processing system is provided, which comprises a processor and a memory, which are communicated with each other, wherein the processor is used for reading a computer program from the memory and executing the computer program, so as to realize the method.
According to the internet-based network tag data processing method and system, the internet network tag data carrying similar recording directions and the corresponding user behavior data are obtained, the network tag data optimization result of the internet network tag data can be determined after the internet network tag data is optimized, then the network tag data optimization result of the internet network tag data is identified through the user behavior data, the identification processing result of the internet network tag data is obtained through identification processing of the network tag data optimization result of the internet network tag data, the obtained identification processing result of the internet network tag data is accurate and reliable, and therefore the credibility of the identification processing result is improved.
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To more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a flowchart of a method for processing internet-based network tag data according to an embodiment of the present disclosure.
Fig. 2 is a block diagram of an internet-based network tag data processing apparatus according to an embodiment of the present disclosure.
Fig. 3 is an architecture diagram of an internet-based web tag data processing system according to an embodiment of the present application.
Detailed Description
In order to better understand the technical solutions of the present application, the following detailed descriptions are provided with accompanying drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application, and in a case of no conflict, the technical features in the embodiments and examples of the present application may be combined with each other.
Referring to fig. 1, a method for processing internet-based web tag data is shown, which may include the technical solutions described in the following steps S11 to S14.
Step S11: and obtaining Internet tag data and a plurality of corresponding user behavior data. And the user behavior data and the Internet tag data carry similar recording directions.
The internet tag data and a plurality of user behavior data corresponding to the real-time frame need to be obtained first. The internet web tag data is behavior record data needing first element estimation, the user behavior data is behavior record data used for matching when the first element estimation is carried out on the real-time frame, and the user behavior data and the internet web tag data carry similar record directions.
Step S12: and optimizing the Internet network label data to generate a network label data optimization result of the Internet network label data.
In an embodiment, the step S12 may specifically include: and adding a first element and a second element to all the network signing events which are not determined by the identification processing result in the internet network signing data to form a network signing data optimization result of the internet network signing data.
The internet network label data can be optimized, the optimization processing is that a random first element and a random second element are added to each network label event in the internet network label data and are used for determining the relation of a part of behavior record data set between the internet network label data and user behavior data, and the first element and the second element are arbitrarily added to all network label events in the internet network label data, so that the identification processing is performed through the identification processing result of each trend in the part of behavior record data set corresponding to the real-time network label event, which is described in the network label data optimization result of the internet network label data.
Step S13: and carrying out identification processing on the net tag data optimization result of the internet net tag data by combining the plurality of user behavior data, and determining the identification processing result of the internet net tag data.
The internet network label data and the user behavior data can be behavior record data recorded in different dimensions for the same event, after the network label data optimization result of the internet network label data is determined, identification processing is carried out according to the set dimensions in the network label data optimization result of the internet network label data, so that the identification processing result of the network label event of the internet network label data carries high credibility, the identification processing result of the internet network label data is obtained, and the internet network label data is guaranteed to carry high first element precision.
According to the scheme, the internet network label data carrying similar recording directions and the corresponding user behavior data are obtained, after the internet network label data are optimized, the network label data optimization result of the internet network label data can be determined, then the network label data optimization result of the internet network label data is identified through the user behavior data, the identification processing result of the internet network label data is obtained, the network label data optimization result of the internet network label data is identified, the obtained identification processing result of the internet network label data is accurate and reliable, and therefore the reliability of the identification processing result is improved.
In an embodiment, after the step S13, the internet-based web tag data processing method may further include the following step.
Step S14: and performing first element detection on the identification processing result of the internet web tag data by combining the internet web tag data and the plurality of user behavior data to obtain a first element detection result of the internet web tag data.
The method comprises the steps of carrying out identification processing in a net tag data optimization result of Internet net tag data, after obtaining an identification processing result of the Internet net tag data, evaluating the similarity of the identification processing result of each net tag event of the Internet net tag data and the identification processing result of each net tag event on the user behavior data by combining the Internet net tag data and the user behavior data, carrying out first element detection on the identification processing result of the Internet net tag data, checking whether the net tag event of the Internet net tag data and the user behavior data have first element similarity or not, deleting interference factors in the first elements of the Internet net tag data, and obtaining a first element detection result of the Internet net tag data.
According to the scheme, after the identification processing result of the internet net label data is obtained by identifying and processing the net label data optimization result of the internet net label data through the user behavior data, the first element detection is carried out on the identification processing result of the internet net label data based on the internet net label data and the user behavior data, so that the first element detection result of the internet net label data is obtained, the net label data optimization result of the internet net label data is determined through the user behavior data, the net label data optimization result of the internet net label data is identified and processed, the obtained identification processing result of the internet net label data is accurate and reliable, and the reliability of the identification processing result is improved.
In this embodiment, the step S11 may specifically include the following steps.
Step S111: and acquiring a plurality of matching network signing subjects carrying similar recording directions with the Internet network signing data.
Step S112: and obtaining the data relevance and the data difference of the behavior records between each matching network signing subject and the internet signing data.
Step S113: screening the set number of matching network signing subjects with the correlation of the behavior record data and the difference of the behavior record data meeting the specified requirements, and determining the matching network signing subjects as the user behavior data.
In all matching network signing subjects with similar recording directions carried by the internet network signing data, a plurality of matching network signing subjects with behavior recording data correlation and behavior recording data difference meeting specified requirements are selected and determined as a plurality of user behavior data, so that network signing data optimization results of the internet network signing data can be determined through the plurality of user behavior data, accurate identification processing results of the internet network signing data can be obtained when the network signing data optimization results of the internet network signing data are identified, and accurate identification processing results of the internet network signing data can be determined.
In this embodiment, the step S13 may specifically include the following steps.
Step S131: and for each network tag event in the internet network tag data, identifying and processing through an identification processing result of each tendency description in the network tag data optimization result in a partial behavior record data set in the internet network tag data corresponding to the real-time network tag event to obtain a first identification processing result of the real-time network tag event in the internet network tag data.
Step S132: and updating a first identification processing result of the real-time network tagging event in the internet network tagging data to obtain a target identification processing result of the real-time network tagging event in the internet network tagging data.
Step S133: and obtaining the identification processing result of the Internet network tag data based on the target identification processing result of each network tag event in the Internet network tag data.
And for each net tag event in the internet net tag data, determining each tendency description in a partial behavior record data set corresponding to the real-time net tag event on the internet net tag data, then transmitting the identification processing result of each tendency description in the net tag data optimization result of the internet net tag data to the real-time net tag event through the identification processing result of each tendency description in the net tag data optimization result of the internet net tag data in the partial behavior record data set corresponding to the real-time net tag event, and obtaining a first identification processing result of the real-time net tag event in the internet net tag data.
In this embodiment, the step S131 may specifically include the following steps.
Step S1311: and determining a plurality of tendency descriptions in the partial behavior record data set corresponding to the real-time net signing event.
Step S1312: comparing the plurality of tendency descriptions with dimensionless simplified variables of the real-time net-signing event between the internet net-signing data and the user behavior data, and determining the recognition processing result of the corresponding dimensionless simplified variable with the optimal tendency description in the net-signing data optimization result as the first recognition processing result of the real-time net-signing event in the internet net-signing data.
Each net signing event considers dimensionless simplified variables corresponding to the first element and the second element of the net signing event, also considers dimensionless simplified variables corresponding to the first element and the second element of the tendency description, obtains a plurality of tendency descriptions in a part of behavior record data sets corresponding to the real-time net signing event, compares the plurality of tendency descriptions and the dimensionless simplified variables of the real-time net signing event between the internet signing data and the user behavior data, and transmits the identification processing result of the optimized tendency description of the corresponding dimensionless simplified variables in the net signing data optimization result to the real-time net signing event, so that the identification processing result of the tendency description can be quickly mapped to the real-time net signing event, and the accuracy of the real-time net signing event can be improved.
In this embodiment, the step S1311 may specifically include the following.
Step S13111: and planning a plurality of tendency description ranges in a part of behavior record data sets corresponding to the real-time net signing events.
Step S13112: in each tendency description range, screening at least one net signing event carrying the optimal dimensionless simplified variable to determine as the tendency description.
By planning a plurality of tendency description ranges in a part of behavior record data sets corresponding to the real-time net sign events, and then screening the net sign events carrying the optimal dimensionless simplified variables in each tendency description range to determine the net sign events as the tendency descriptions, the identification processing result of the optimal tendency descriptions of the dimensionless simplified variables corresponding to each tendency description range can be quickly mapped to the real-time net sign events, the transmission steps are reduced, and the accuracy is improved.
In this embodiment, the step S132 may specifically include the following contents.
Step S1321: and denoising a first element and a second element of the real-time network tagging event in the Internet network tagging data.
Step S1322: and comparing the dimensionless simplified variable before denoising with the dimensionless simplified variable after denoising.
Step S1323: and in response to the fact that the denoised dimensionless simplified variable is superior to the dimensionless simplified variable before denoising, converting a first element and a second element of the real-time network tagging event in the internet network tagging data into the denoised first element and second element, and obtaining a target identification processing result of the real-time network tagging event in the internet network tagging data.
The identification processing result of the trend description can be approximately and correctly propagated to the real-time network tagging event through identification processing, so that a first identification processing result of the real-time network tagging event in the internet network tagging data is obtained; if the trend description has an exception, the identification processing result propagated to the real-time network tagging event is amplified, so that the identification processing result propagated to the real-time network tagging event needs to be updated.
In this embodiment, the step S14 may specifically include the following contents.
Step S141: and combining the identification processing result of the Internet tag data and the identification processing results of the user behavior data to obtain a plurality of corresponding distribution anomalies and distribution first element anomalies.
Step S142: and for each net label event, determining whether the corresponding distribution abnormities and the distribution first element abnormities meet the specified requirements.
Step S143: and generating a correct identification processing result of the real-time network signing event in response to the fact that the plurality of distribution exceptions corresponding to the real-time network signing event and the distribution first element exception meet the specified requirements.
Step S144: and generating an identification processing result error of the real-time network signing event in response to the fact that a plurality of distribution exceptions corresponding to the real-time network signing event and the distribution first element exception do not meet the specified requirements.
Therefore, after the identification processing result of the internet web id data is obtained, the corresponding distribution anomalies and distribution first element anomalies can be obtained based on the identification processing result of the internet web id data and the identification processing results of the user behavior data, so that for each web id event, whether the corresponding distribution anomalies and distribution first element anomalies meet the specified requirements or not can be determined, when the distribution anomalies and distribution first element anomalies corresponding to the real-time web id event meet the specified requirements, the identification processing result of the real-time web id event is determined to be correct, when the distribution anomalies and distribution first element anomalies corresponding to the real-time web id event do not meet the specified requirements, the identification processing result of the real-time web id event is determined to be wrong, thereby the interference factors in the first element of the internet web id data can be deleted, and the first element detection result of the internet web id data can be obtained.
On the basis, please refer to fig. 2 in combination, an internet-based network tag data processing apparatus 200 is provided, which is applied to an internet-based network tag data processing system, and includes:
a data obtaining module 210, configured to obtain internet web id data and a plurality of corresponding user behavior data, where the user behavior data and the internet web id data carry similar recording directions;
the result optimization module 220 is configured to perform optimization processing on the internet web tagging data to generate a web tagging data optimization result of the internet web tagging data;
and the result identification module 230 is configured to perform identification processing on the net tag data optimization result of the internet net tag data by combining the plurality of user behavior data, and determine an identification processing result of the internet net tag data.
On the basis of the above, please refer to fig. 3, which shows an internet-based tag data processing system 300, which includes a processor 310 and a memory 320, which are communicated with each other, wherein the processor 310 is configured to read a computer program from the memory 320 and execute the computer program to implement the above method.
On the basis of the above, there is also provided a computer-readable storage medium on which a computer program is stored, which when executed implements the above-described method.
In summary, based on the above scheme, by obtaining the internet tag data carrying the similar recording directions and the corresponding user behavior data, after the internet tag data is optimized, the tag data optimization result of the internet tag data can be determined, and then the tag data optimization result of the internet tag data is identified through the user behavior data, so as to obtain the identification processing result of the internet tag data.
It should be appreciated that the system and its modules shown above may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided, for example, on a carrier medium such as a diskette, CD-or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application may be implemented not only by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, for example, or by a combination of the above hardware circuits and software (e.g., firmware).
It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, though not expressly described herein. Such alterations, modifications, and improvements are intended to be suggested herein and are intended to be within the spirit and scope of the exemplary embodiments of this application.
Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.
Moreover, those skilled in the art will appreciate that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereof. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.
The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, and the like, or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.
Computer program code required for operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, scala, smalltalk, eiffel, JADE, emerald, C + +, C #, VB.NET, python, and the like, a conventional programming language such as C, visual Basic, fortran 2003, perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any form of network, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service using, for example, software as a service (SaaS).
Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the foregoing description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features are required than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the numbers allow for adaptive variation. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit-preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
The entire contents of each patent, patent application publication, and other material cited in this application, such as articles, books, specifications, publications, documents, and the like, are hereby incorporated by reference into this application. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to only those embodiments explicitly described and depicted herein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An internet-based network tag data processing method, characterized by at least comprising:
the internet-based net tag data processing data and a plurality of corresponding user behavior data are obtained, wherein the user behavior data and the internet-based net tag data processing data carry similar recording directions;
optimizing the internet-based net tag data processing data to generate a net tag data optimization result of the internet-based net tag data processing data;
and combining the plurality of user behavior data to identify the net tag data optimization result of the net tag data processing data based on the Internet, and determining the identification processing result of the net tag data processing data based on the Internet.
2. The internet-based web tag data processing method according to claim 1, wherein the obtaining of the internet-based web tag data processing data and the corresponding user behavior data includes:
acquiring a plurality of matching network label subjects carrying similar recording directions with the network label data processing data based on the Internet;
obtaining the behavior record data relevance and behavior record data difference between each matching network signing subject and the network signing data processing data based on the Internet;
screening the set number of matching network signing subjects with the correlation of the behavior record data and the difference of the behavior record data meeting the specified requirements, and determining the matching network signing subjects as the user behavior data.
3. The internet-based net tag data processing method according to claim 1, wherein the optimizing the internet-based net tag data processing data to generate the net tag data optimization result of the internet-based net tag data processing data includes: and adding a first element and a second element to all the net signing events which are not determined by the identification processing result in the net signing data processing data based on the Internet at will to form a net signing data optimization result of the net signing data processing data based on the Internet.
4. The internet-based web tag data processing method according to claim 1, wherein the identifying the web tag data optimization result of the internet-based web tag data processing data in combination with the user behavior data and determining the identification result of the internet-based web tag data processing data comprises:
for each net tag event in the internet-based net tag data processing data, identifying and processing through an identification processing result of each tendency description in the net tag data optimization result in a partial behavior record data set in the internet-based net tag data processing data corresponding to a real-time net tag event to obtain a first identification processing result of the real-time net tag event in the internet-based net tag data processing data;
updating a first identification processing result of the real-time network tagging event in the internet-based network tagging data processing data to obtain a target identification processing result of the real-time network tagging event in the internet-based network tagging data processing data;
and obtaining the identification processing result of the internet-based net label data processing data based on the target identification processing result of each net label event in the internet-based net label data processing data.
5. The internet-based net tag data processing method according to claim 4, wherein the obtaining of the first recognition processing result of the real-time net tag event in the internet-based net tag data processing data by performing recognition processing on the recognition processing result of each tendency described in the net tag data optimization result in the partial behavior record data set in the internet-based net tag data processing data corresponding to the real-time net tag event comprises:
determining a plurality of tendency descriptions in a partial behavior record data set corresponding to the real-time network tagging event;
comparing the plurality of tendency descriptions with dimensionless simplified variables of the real-time net-signing event between the internet-based net-signing data processing data and the user behavior data, and determining the identification processing result of the corresponding dimensionless simplified variable with the optimal tendency description in the net-signing data optimization result as the first identification processing result of the real-time net-signing event in the internet-based net-signing data processing data.
6. The internet-based net sign data processing method of claim 5, wherein the determining a plurality of trend descriptions in the partial behavior record data set corresponding to the real-time net sign event comprises: planning a plurality of tendency description ranges in a part of behavior record data sets corresponding to the real-time net signing events; and in each tendency description range, screening not less than one net signing event carrying the optimal dimensionless simplified variable to determine the tendency description.
7. The Internet-based net sign data processing method of claim 6, wherein the tendency description ranges include a plurality of key ranges derived from the real-time net sign event based on the real-time net sign event, and/or an interval range based on the real-time net sign event.
8. The internet-based net tag data processing method according to claim 4, wherein the updating the first recognition processing result of the real-time net tag event in the internet-based net tag data processing data to obtain the target recognition processing result of the real-time net tag event in the internet-based net tag data processing data includes:
denoising a first element and a second element of the real-time network tagging event in the internet-based network tagging data processing data;
comparing the dimensionless simplified variable before denoising with the dimensionless simplified variable after denoising;
and in response to the fact that the denoised dimensionless simplified variable is superior to the dimensionless simplified variable before denoising, converting a first element and a second element of the real-time network tagging event in the internet-based network tagging data processing data into the denoised first element and second element, and obtaining a target identification processing result of the real-time network tagging event in the internet-based network tagging data processing data.
9. The internet-based tag data processing method of claim 1, wherein after the identification processing of the tag data optimization result of the internet-based tag data processing data is performed in combination with the user behavior data, and the identification processing result of the internet-based tag data processing data is determined, the method further comprises: combining the Internet-based net tag data processing data and the user behavior data, and performing first element detection on the identification processing result of the Internet-based net tag data processing data to obtain a first element detection result of the Internet-based net tag data processing data;
the combining the internet-based web id data processing data and the user behavior data to perform first element detection on the identification processing result of the internet-based web id data processing data to obtain the first element detection result of the internet-based web id data processing data includes:
combining the recognition processing result of the Internet-based web tag data processing data and the recognition processing results of the user behavior data to obtain a plurality of corresponding distribution anomalies and distribution first element anomalies; for each web signing event, determining whether the corresponding distribution anomalies and the distribution first element anomalies meet specified requirements;
responding to a plurality of distribution anomalies corresponding to the real-time network signing event and the distribution first element anomaly which meet the specified requirements, and generating that the identification processing result of the real-time network signing event is correct;
and generating an identification processing result error of the real-time network signing event in response to the fact that a plurality of distribution exceptions corresponding to the real-time network signing event and the distribution first element exception do not meet the specified requirements.
10. An internet-based web tag data processing system, comprising a processor and a memory in communication with each other, the processor being configured to read a computer program from the memory and execute the computer program to implement the system of any one of claims 1 to 9.
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Application publication date: 20221122 |