CN113630336B - Data distribution method and system based on optical interconnection - Google Patents
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Abstract
According to the data distribution method and system based on optical interconnection, the distribution description content corresponding to the overall distribution characteristics of the to-be-selected interactive data is generated through the key description content corresponding to the user interaction data attributes and the mapping distribution list used for representing the mapping relation among the user interaction data attributes, and the interactive data description content is generated through the interactive data contained in the to-be-distributed interactive data.
Description
Technical Field
The application relates to the technical field of data distribution, in particular to a data distribution method and system based on optical interconnection.
Background
The traditional method generally utilizes the characteristics of network layers and transmission layers such as IP information or quintuple information in the packet to classify the flow, and places the research center of gravity on the split speed, the split self-adaptability and the split dynamics too much, so that enough importance is given to the correctness of the flow.
Along with the continuous development of technology, the technology of related data distribution combines optical interconnection, so that the speed of related data distribution is effectively improved.
However, in the related data splitting technology, the related data splitting may be confused because of excessive related data volume.
Disclosure of Invention
In view of the above, the application provides a data distribution method and a system based on optical interconnection.
In a first aspect, a data splitting method based on optical interconnection is provided, including:
acquiring a to-be-selected interactive data distribution characteristic, and acquiring distribution description content globally corresponding to the to-be-selected interactive data distribution characteristic, wherein the to-be-selected interactive data distribution characteristic is a plurality of characteristics obtained by distinguishing according to user interaction data attributes, and the distribution description content is generated based on key description content corresponding to the plurality of user interaction data attributes and a mapping distribution list for representing mapping relations among the user interaction data attributes;
generating interactive data description content based on the interactive data contained in the interactive data to be shunted;
And judging the interactive data distribution characteristics of the to-be-distributed interactive data in the to-be-selected interactive data distribution characteristics based on the interactive data description content and the distribution description content.
Further, the obtaining the shunt descriptive content corresponding to the shunt feature global of the interaction data to be selected includes:
acquiring key description contents corresponding to a plurality of user interaction data attributes, and acquiring a mapping distribution list containing mapping relations among the plurality of user interaction data attributes;
Integrating the key description contents corresponding to the user interaction data attributes to generate a user feature distribution list;
And generating the shunt descriptive content globally corresponding to the shunt feature of the interaction data to be selected based on the user feature distribution list and the mapping distribution list.
Further, the obtaining the key description content corresponding to the plurality of user interaction data attributes includes:
Aiming at each user interaction data attribute, respectively acquiring a target sample user containing the user interaction data attribute;
respectively extracting features of the target sample users aiming at each user interaction data attribute to obtain sample key description contents corresponding to the target sample users;
and generating key description contents corresponding to the user interaction data attributes based on standard parameters of sample key description contents corresponding to the target sample users aiming at each user interaction data attribute.
Further, the obtaining a mapping distribution list including mapping relationships among the plurality of user interaction data attributes includes:
Determining the matching property between every two user interaction data attributes in the plurality of user interaction data attributes;
based on the matching, a mapping distribution list for representing the mapping relation between the user interaction data attributes is generated.
Further, the generating the description content of the interaction data based on the interaction data included in the interaction data to be shunted includes:
generating key description content corresponding to user interaction data based on the user interaction data contained in the interaction data to be shunted, and generating key description content corresponding to the key interaction data based on the key interaction data contained in the interaction data to be shunted;
And carrying out feature integration on the key description contents and the key description contents to generate interactive data description contents.
Further, key description content corresponding to the user interaction data is generated through a preconfigured machine learning thread, and the data distribution method based on optical interconnection further comprises the following steps:
Acquiring a user to be selected, which comprises user interaction data attributes corresponding to the shunt characteristics of the interactive data to be selected;
Screening the users to be selected to generate screened users; generating a configuration sample distribution track set based on the screened users and the users to be selected, wherein each sample distribution track in the configuration sample distribution track set comprises sample users and the characteristics of the interaction data distribution to be selected, which the sample users belong to;
And configuring the machine learning thread to be configured based on the configuration sample distribution track set to obtain the preconfigured machine learning thread.
Further, the generating key description content corresponding to the key interaction data based on the key interaction data included in the to-be-shunted interaction data includes:
Carrying out recognition processing on key interaction data contained in the interaction data to be shunted to obtain a recognition result corresponding to the key interaction data and a motion track of each shunting track contained in the recognition result in which the recognition result is located;
Generating track description content corresponding to each split track based on the identification result, and generating track description content based on the motion track of each split track contained in the identification result where the identification result is located;
And integrating the track description contents corresponding to each split track based on the track description contents to generate key description contents containing global motion states.
Further, the determining, based on the interactive data description content and the shunt description content, the interactive data shunt feature to which the to-be-shunted interactive data belongs in the to-be-selected interactive data shunt feature includes:
Based on the interactive data description content and the shunt description content, judging the shunt judgment duty ratio when the to-be-shunted interactive data belongs to the to-be-selected interactive data shunt characteristic;
Selecting the to-be-selected interactive data distribution characteristic with the largest distribution judgment duty ratio from the to-be-selected interactive data distribution characteristics based on the distribution judgment duty ratio;
And if the shunt judgment duty ratio corresponding to the selected shunt characteristic of the to-be-selected interactive data meets the preset shunt judgment duty ratio threshold, taking the selected shunt characteristic of the to-be-selected interactive data as the shunt characteristic of the interactive data to which the to-be-shunted interactive data belongs.
Further, after the interactive data distribution feature to which the to-be-distributed interactive data belongs is determined in the to-be-selected interactive data distribution feature based on the interactive data description content and the distribution description content, the data distribution method based on optical interconnection further includes:
if the feature matched with the interactive data distribution feature of the interactive data to be distributed does not exist in the distribution heat feature of the user, loading the interactive data to be distributed to the main track of the interactive data refusing to give a recommendation to the user;
and if the feature matched with the interactive data distribution feature of the interactive data to be distributed exists in the distribution heat feature of the user, loading the interactive data to be distributed into an interactive data secondary track for recommending to the user.
In a second aspect, an optical interconnect based data distribution system is provided, 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 method described above.
According to the data distribution method and system based on optical interconnection, the key description contents corresponding to the user interaction data attributes and the distribution description contents corresponding to the overall distribution characteristics of the to-be-selected interaction data are generated based on the mapping distribution list used for representing the mapping relation among the user interaction data attributes, and the interaction data description contents are generated through the interaction data contained in the to-be-distributed interaction data.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a data splitting method based on optical interconnection according to an embodiment of the present application.
Fig. 2 is a block diagram of a data splitting device based on optical interconnection according to an embodiment of the present application.
Fig. 3 is a schematic diagram of an optical interconnection-based data distribution system according to an embodiment of the present application.
Detailed Description
In order to better understand the above technical solutions, the following detailed description of the technical solutions of the present application is made by using the accompanying drawings and specific embodiments, and it should be understood that the specific features of the embodiments and the embodiments of the present application are detailed descriptions of the technical solutions of the present application, and not limiting the technical solutions of the present application, and the technical features of the embodiments and the embodiments of the present application may be combined with each other without conflict.
Referring to fig. 1, a data splitting method based on optical interconnection is shown, and the method may include the following steps 100-300.
Step 100, obtaining a to-be-selected interactive data distribution characteristic, and obtaining distribution description content globally corresponding to the to-be-selected interactive data distribution characteristic, wherein the to-be-selected interactive data distribution characteristic is a plurality of characteristics obtained by distinguishing according to user interaction data attributes, and the distribution description content is generated based on key description content corresponding to the plurality of user interaction data attributes and a mapping distribution list for representing mapping relations among the user interaction data attributes.
For example, the candidate interactive data splitting feature represents related data that needs to be split.
Step 200, generating the description content of the interaction data based on the interaction data contained in the interaction data to be shunted.
For example, the interactive data description content represents a track of the related data corresponding to a single split.
And 300, judging the interactive data distribution characteristics of the to-be-distributed interactive data from the to-be-selected interactive data distribution characteristics based on the interactive data description content and the distribution description content.
For example, the interactive data shunt feature represents a corresponding shunt trace.
It can be understood that when the technical solutions described in the above steps 100 to 300 are executed, by generating the shunt description content corresponding to the global feature of the to-be-selected interaction data based on the key description content corresponding to the plurality of user interaction data attributes and the mapping distribution list for representing the mapping relationship between the user interaction data attributes, and generating the interaction data description content through the interaction data included in the to-be-shunted interaction data, the description content reflects the feature information shunt of the to-be-shunted interaction data, and the description content is a feature information for characterizing different shunt tracks, the to-be-shunted interaction data can be more accurately identified by the shunt description content and the interaction data description content, so that the accuracy of the to-be-shunted interaction data in the interactive data shunt is effectively improved.
In an alternative embodiment, the inventor finds that when obtaining the shunt descriptive content corresponding to the global shunt feature of the to-be-selected interactive data, there is a problem that the key descriptive content is inaccurate, so that it is difficult to accurately obtain the shunt descriptive content corresponding to the global shunt feature of the to-be-selected interactive data.
And q1, acquiring key description contents corresponding to a plurality of user interaction data attributes, and acquiring a mapping distribution list containing mapping relations among the plurality of user interaction data attributes.
And q2, integrating the key description contents corresponding to the user interaction data attributes to generate a user feature distribution list.
And q3, generating the shunt descriptive content globally corresponding to the shunt characteristic of the interaction data to be selected based on the user characteristic distribution list and the mapping distribution list.
It can be understood that when the technical scheme described in the step q 1-step q3 is executed, the problem of inaccurate key description content is avoided when the shunt description content corresponding to the overall situation of the shunt feature of the interactive data to be selected is obtained, so that the shunt description content corresponding to the overall situation of the shunt feature of the interactive data to be selected can be accurately obtained.
In an alternative embodiment, the inventor finds that, when obtaining the key description content corresponding to the plurality of user interaction data attributes, there is a problem that each user interaction data attribute is inaccurate, so that it is difficult to accurately obtain the key description content corresponding to the plurality of user interaction data attributes, and in order to improve the technical problem, the step of obtaining the key description content corresponding to the plurality of user interaction data attributes described in step q1 may specifically include the following technical scheme described in steps q1a1 to q1a 3.
Step q1a1, for each user interaction data attribute, respectively obtaining a target sample user containing the user interaction data attribute.
And q1a2, respectively extracting features of the target sample user aiming at each user interaction data attribute to obtain sample key description content corresponding to the target sample user.
And q1a3, aiming at each user interaction data attribute, generating the key description content corresponding to the user interaction data attribute based on the standard parameters of the sample key description content corresponding to the target sample user.
It can be understood that when the technical scheme described in the steps q1a1 to q1a3 is executed, the key description content corresponding to the user interaction data attributes is obtained, so that the problem of inaccuracy of each user interaction data attribute is avoided, and the key description content corresponding to the user interaction data attributes can be accurately obtained.
In an alternative embodiment, the inventor finds that when obtaining the mapping distribution list including the mapping relationships between the plurality of user interaction data attributes, there is a problem that the matching between every two user interaction data attributes is inaccurate, so that it is difficult to accurately obtain the mapping distribution list including the mapping relationships between the plurality of user interaction data attributes, and in order to improve the above technical problem, the step of obtaining the mapping distribution list including the mapping relationships between the plurality of user interaction data attributes described in the step q1 may specifically include the following technical solutions described in the step q1b1 and the step q1b 2.
And step q1b1, determining the matching property between every two user interaction data attributes in the plurality of user interaction data attributes.
And step q1b2, based on the matching, generating a mapping distribution list for representing the mapping relation between the user interaction data attributes.
It can be understood that when the technical solutions described in the steps q1b1 and q1b2 are executed, a mapping distribution list including the mapping relationships between the plurality of user interaction data attributes is obtained, so that the problem of inaccurate matching between every two user interaction data attributes is avoided, and thus, the mapping distribution list including the mapping relationships between the plurality of user interaction data attributes can be accurately obtained.
In an alternative embodiment, the inventor found that when the interactive data is included in the to-be-shunted interactive data, there is a problem that the key description is inaccurate, so that it is difficult to accurately generate the interactive data description, and in order to improve the above technical problem, the step of generating the interactive data description based on the interactive data included in the to-be-shunted interactive data described in step 200 may specifically include the following technical solutions described in step w1 and step w 2.
Step w1, generating key description content corresponding to user interaction data based on the user interaction data contained in the to-be-shunted interaction data, and generating key description content corresponding to the key interaction data based on the key interaction data contained in the to-be-shunted interaction data.
And step w2, performing feature integration on the key description contents and the key description contents to generate interactive data description contents.
It can be understood that when the technical schemes described in the above steps w1 and w2 are executed, the problem of inaccurate key description content is avoided when the interactive data included in the to-be-shunted interactive data is based, so that the interactive data description content can be accurately generated.
Based on the above basis, the key description content corresponding to the user interaction data is generated through the preconfigured machine learning thread, and the technical scheme described in the following steps e 1-e 3 can be further included.
And e1, obtaining a to-be-selected user containing user interaction data attributes corresponding to the to-be-selected interaction data distribution characteristics.
Step e2, screening the users to be selected to generate screened users; and generating a configuration sample distribution track set based on the screened users and the users to be selected, wherein each sample distribution track in the configuration sample distribution track set comprises sample users and the characteristics of the interaction data distribution to be selected, which the sample users belong to.
And e3, configuring the machine learning thread to be configured based on the configuration sample distribution track set to obtain the preconfigured machine learning thread.
It can be appreciated that when the technical schemes described in the steps e1 to e3 are executed, the pre-configured machine learning thread can be accurately obtained by accurately screening the to-be-selected user.
In an alternative embodiment, the inventor finds that, based on the key interaction data included in the to-be-shunted interaction data, there is a problem that the motion track of each shunt track where the identification result is located is inaccurate, so that it is difficult to accurately generate the key description content corresponding to the key interaction data, and in order to improve the technical problem, the step of generating the key description content corresponding to the key interaction data based on the key interaction data included in the to-be-shunted interaction data described in the step w1 may specifically include the following technical scheme described in the step w1a1 to the step w1a 3.
And step w1a1, carrying out recognition processing on the key interaction data contained in the interaction data to be shunted to obtain a recognition result corresponding to the key interaction data and a motion track of each shunting track contained in the recognition result.
And step w1a2, generating track description contents corresponding to each split track based on the identification result, and generating track description contents based on the motion track of each split track contained in the identification result where the identification result is located.
And step w1a3, integrating the track description contents corresponding to each shunt track based on the track description contents to generate key description contents containing global motion states.
It can be understood that when the technical schemes described in the steps w1a1 to w1a3 are executed, based on the key interaction data included in the interaction data to be shunted, the problem that the motion track of each shunting track is inaccurate in the identification result is avoided, so that the key description content corresponding to the key interaction data can be accurately generated.
In an alternative embodiment, the inventor finds that, based on the description content of the interactive data and the shunt description content, when determining the shunt feature of the interactive data to which the to-be-shunted interactive data belongs in the shunt feature of the to-be-selected interactive data, there is a problem that the shunt ratio is inaccurate, so that it is difficult to accurately determine the shunt feature of the interactive data to which the to-be-shunted interactive data belongs, and in order to improve the technical problem, the step of determining, based on the description content of the interactive data and the shunt description content, the shunt feature of the interactive data to be-shunted in the shunt feature of the to-be-selected interactive data described in step 300 may specifically include the following technical scheme described in step t 1-step t 3.
And step t1, judging the shunt judgment duty ratio when the to-be-shunted interactive data belongs to the to-be-selected interactive data shunt characteristic based on the interactive data description content and the shunt description content.
And step t2, selecting the to-be-selected interactive data distribution characteristic with the largest distribution judgment duty ratio from the to-be-selected interactive data distribution characteristics based on the distribution judgment duty ratio.
And step t3, if the shunt judgment duty ratio corresponding to the selected shunt characteristic of the to-be-selected interactive data meets the preset shunt judgment duty ratio threshold, taking the selected shunt characteristic of the to-be-selected interactive data as the shunt characteristic of the interactive data to which the to-be-shunted interactive data belongs.
It can be understood that when the technical schemes described in the steps t1 to t3 are executed, based on the description content of the interactive data and the description content of the shunt, when the shunt characteristic of the interactive data to be shunted is determined in the shunt characteristic of the interactive data to be shunted, the problem of inaccurate shunt duty ratio is avoided, so that the shunt characteristic of the interactive data to be shunted can be accurately determined.
Based on the above-mentioned basis, after judging the interactive data distribution characteristic to which the to-be-distributed interactive data belongs in the to-be-selected interactive data distribution characteristic based on the interactive data description content and the distribution description content, the following technical schemes described in step y1 and step y2 may be further included.
And step y1, if the feature matched with the interactive data distribution feature of the interactive data to be distributed does not exist in the distribution heat feature of the user, loading the interactive data to be distributed to the main track of the interactive data refusing to give a recommendation to the user.
And step y2, if the feature matched with the interactive data distribution feature of the interactive data to be distributed exists in the distribution heat feature of the user, loading the interactive data to be distributed into an interactive data secondary track for recommending to the user.
It can be appreciated that when the technical schemes described in the above steps y1 and y2 are executed, by accurately analyzing the feature of the split heat, the to-be-split interactive data can be accurately loaded into the interactive data secondary track for dividing the user.
On the basis of the foregoing, please refer to fig. 2 in combination, there is provided an optical interconnection-based data splitting device 200, which is applied to a data terminal, and the device includes:
The content acquisition module 210 is configured to acquire a to-be-selected interactive data distribution feature, and acquire distribution description content corresponding to the to-be-selected interactive data distribution feature globally, where the to-be-selected interactive data distribution feature is a plurality of features obtained by differentiating according to user interaction data attributes, and the distribution description content is generated based on key description content corresponding to the plurality of user interaction data attributes and a mapping distribution list for representing mapping relationships between the user interaction data attributes;
The content generating module 220 is configured to generate an interaction data description content based on the interaction data included in the interaction data to be shunted;
The feature determining module 230 is configured to determine, based on the interactive data description content and the shunt description content, an interactive data shunt feature to which the to-be-shunted interactive data belongs from the to-be-selected interactive data shunt features.
On the basis of the above, referring to fig. 3 in combination, there is shown an optical interconnection based data distribution system 300, comprising a processor 310 and a memory 320 in communication with each other, the processor 310 being configured to read and execute a computer program from the memory 320 to implement the method described above.
On the basis of the above, there is also provided a computer readable storage medium on which a computer program stored which, when run, implements the above method.
In summary, based on the above scheme, by generating the shunt descriptive content corresponding to the global feature of the to-be-selected interactive data based on the key descriptive content corresponding to the plurality of user interactive data attributes and the mapping distribution list for representing the mapping relationship between the user interactive data attributes, and generating the interactive data descriptive content through the interactive data contained in the to-be-shunted interactive data, the descriptive content reflects the feature information shunt of the to-be-shunted interactive data, and is a feature information for characterizing different shunt tracks, the to-be-shunted interactive data can be more accurately identified through the shunt descriptive content and the interactive data descriptive content, and the accuracy of the to-be-shunted interactive data to-be-shunted is effectively improved.
It should be appreciated that the systems and modules thereof 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 then be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or special purpose design 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 as provided on a carrier medium such as a magnetic disk, 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 of the present application and its modules may be implemented not only with hardware circuitry 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 with software executed by various types of processors, for example, and with a combination of the above hardware circuitry and software (e.g., firmware).
It should be noted that, the advantages that may be generated by different embodiments may be different, and in different embodiments, the advantages that may be generated may be any one or a combination of several of the above, or any other possible advantages that may be obtained.
While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements and adaptations of the application may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within the present disclosure, and therefore, such modifications, improvements, and adaptations are intended to be within the spirit and scope of the exemplary embodiments of the present disclosure.
Meanwhile, the present application uses specific words to describe embodiments of the present application. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the application. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the application may be combined as suitable.
Furthermore, those skilled in the art will appreciate that the various aspects of the application are illustrated and described in the context of a number of patentable categories or circumstances, including any novel and useful procedures, machines, products, or materials, or any novel and useful modifications thereof. Accordingly, aspects of the application may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.) or by a combination of hardware and software. The above hardware or software may be referred to as a "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the application may take the form of a computer product, comprising computer-readable program code, embodied in one or more computer-readable media.
The computer storage medium may contain a propagated data signal with the computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take on a variety of forms, including electro-magnetic, optical, etc., or any suitable combination thereof. 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 through any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or a combination of any of the foregoing.
The computer program code necessary for operation of 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 the C language, 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 or 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 the use of services such as software as a service (SaaS) in a cloud computing environment.
Furthermore, the order in which the elements and sequences are presented, the use of numerical letters, or other designations are used in the application is not intended to limit the sequence of the processes and methods unless specifically recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of example, it is to be understood that such details are merely illustrative 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 included within the spirit and scope of the embodiments of the application. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in order to simplify the description of the present disclosure and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure does not imply that the subject application requires more features than are set forth in the claims. Indeed, less than all of the features of a single embodiment disclosed above.
In some embodiments, numbers describing the components, number of attributes are used, it being understood that such numbers being used in the description of embodiments are modified in some examples by the modifier "about," approximately, "or" substantially. Unless otherwise indicated, "about," "approximately," or "substantially" indicate that the numbers allow for adaptive variation. Accordingly, in some embodiments, numerical parameters set forth in the specification and claims are approximations that may vary depending upon the desired properties sought to be obtained by the individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and employ a method for preserving the general number of digits. Although the numerical ranges and parameters set forth herein are approximations in some embodiments for use in determining the breadth of the range, in particular embodiments, the numerical values set forth herein are as precisely as possible.
Each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited herein is hereby incorporated by reference in its entirety. Except for the application history file that is inconsistent or conflicting with this disclosure, the file (currently or later attached to this disclosure) that limits the broadest scope of the claims of this disclosure is also excluded. It is noted that the description, definition, and/or use of the term in the appended claims controls the description, definition, and/or use of the term in this application if there is a discrepancy or conflict between the description, definition, and/or use of the term in the appended claims.
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 application. Thus, by way of example, and not limitation, alternative configurations of embodiments of the application may be considered in keeping with the teachings of the application. Accordingly, the embodiments of the present application are not limited to the embodiments explicitly described and depicted herein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (9)
1. The data distribution method based on optical interconnection is characterized by comprising the following steps of:
acquiring a to-be-selected interactive data distribution characteristic, and acquiring distribution description content globally corresponding to the to-be-selected interactive data distribution characteristic, wherein the to-be-selected interactive data distribution characteristic is a plurality of characteristics obtained by distinguishing according to user interaction data attributes, and the distribution description content is generated based on key description content corresponding to the plurality of user interaction data attributes and a mapping distribution list for representing mapping relations among the user interaction data attributes;
generating interactive data description content based on the interactive data contained in the interactive data to be shunted;
based on the interactive data description content and the shunt description content, judging the interactive data shunt characteristic of the interactive data to be shunted from the interactive data shunt characteristic to be selected;
the method for data distribution based on optical interconnection further comprises the following steps of:
Acquiring a user to be selected, which comprises user interaction data attributes corresponding to the shunt characteristics of the interactive data to be selected;
Screening the users to be selected to generate screened users; generating a configuration sample distribution track set based on the screened users and the users to be selected, wherein each sample distribution track in the configuration sample distribution track set comprises sample users and the characteristics of the interaction data distribution to be selected, which the sample users belong to;
And configuring the machine learning thread to be configured based on the configuration sample distribution track set to obtain the preconfigured machine learning thread.
2. The optical interconnection-based data distribution method according to claim 1, wherein the obtaining the distribution description content corresponding to the global distribution feature of the interaction data to be selected includes:
acquiring key description contents corresponding to a plurality of user interaction data attributes, and acquiring a mapping distribution list containing mapping relations among the plurality of user interaction data attributes;
Integrating the key description contents corresponding to the user interaction data attributes to generate a user feature distribution list;
And generating the shunt descriptive content globally corresponding to the shunt feature of the interaction data to be selected based on the user feature distribution list and the mapping distribution list.
3. The optical interconnection-based data distribution method according to claim 2, wherein the obtaining key description contents corresponding to the plurality of user interaction data attributes includes:
Aiming at each user interaction data attribute, respectively acquiring a target sample user containing the user interaction data attribute;
respectively extracting features of the target sample users aiming at each user interaction data attribute to obtain sample key description contents corresponding to the target sample users;
and generating key description contents corresponding to the user interaction data attributes based on standard parameters of sample key description contents corresponding to the target sample users aiming at each user interaction data attribute.
4. The optical interconnect-based data offloading method of claim 2, wherein the obtaining a mapping distribution list including a mapping relationship between the plurality of user interaction data attributes comprises:
Determining the matching property between every two user interaction data attributes in the plurality of user interaction data attributes;
based on the matching, a mapping distribution list for representing the mapping relation between the user interaction data attributes is generated.
5. The optical interconnection-based data distribution method according to claim 1, wherein the generating the interactive data description content based on the interactive data included in the interactive data to be distributed includes:
generating key description content corresponding to user interaction data based on the user interaction data contained in the interaction data to be shunted, and generating key description content corresponding to the key interaction data based on the key interaction data contained in the interaction data to be shunted;
And carrying out feature integration on the key description content corresponding to the user interaction data and the key description content corresponding to the key interaction data to generate the interaction data description content.
6. The optical interconnection-based data distribution method according to claim 5, wherein the generating key description content corresponding to key interaction data based on the key interaction data included in the to-be-distributed interaction data includes:
Carrying out recognition processing on key interaction data contained in the interaction data to be shunted to obtain a recognition result corresponding to the key interaction data and a motion track of each shunting track contained in the recognition result in which the recognition result is located;
Generating track description content corresponding to each split track based on the identification result, and generating track description content based on the motion track of each split track contained in the identification result where the identification result is located;
And integrating the track description contents corresponding to each split track based on the track description contents to generate key description contents containing global motion states.
7. The optical interconnection-based data distribution method according to claim 1, wherein the determining, based on the interactive data description content and the distribution description content, the interactive data distribution feature to which the to-be-distributed interactive data belongs from the to-be-selected interactive data distribution features includes:
Based on the interactive data description content and the shunt description content, judging the shunt judgment duty ratio when the to-be-shunted interactive data belongs to the to-be-selected interactive data shunt characteristic;
Selecting the to-be-selected interactive data distribution characteristic with the largest distribution judgment duty ratio from the to-be-selected interactive data distribution characteristics based on the distribution judgment duty ratio;
And if the shunt judgment duty ratio corresponding to the selected shunt characteristic of the to-be-selected interactive data meets the preset shunt judgment duty ratio threshold, taking the selected shunt characteristic of the to-be-selected interactive data as the shunt characteristic of the interactive data to which the to-be-shunted interactive data belongs.
8. The optical interconnection-based data distribution method according to claim 1, wherein after the interactive data distribution feature to which the to-be-distributed interactive data belongs is determined in the to-be-selected interactive data distribution feature based on the interactive data description content and the distribution description content, the optical interconnection-based data distribution method further comprises:
if the feature matched with the interactive data distribution feature of the interactive data to be distributed does not exist in the distribution heat feature of the user, loading the interactive data to be distributed to the main track of the interactive data refusing to give a recommendation to the user;
and if the feature matched with the interactive data distribution feature of the interactive data to be distributed exists in the distribution heat feature of the user, loading the interactive data to be distributed into an interactive data secondary track for recommending to the user.
9. A data distribution system based on optical interconnection, comprising a processor and a memory in communication with each other, the processor being adapted to read a computer program from the memory and execute it to implement the method of any of claims 1-8.
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