CN113905024A - Live broadcast tape cargo pushing method and system based on big data - Google Patents
Live broadcast tape cargo pushing method and system based on big data Download PDFInfo
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Abstract
The embodiment of the invention provides a live broadcast strip cargo pushing method and system based on big data, which are characterized in that commodity configuration parameter information of a live broadcast strip cargo pushing service is obtained, key pushing strategy component information of the live broadcast strip cargo pushing service is obtained, then the key pushing strategy component information is analyzed to respectively obtain strip cargo pushing time sequence information and strip cargo pushing empty sequence characteristic information, the strip cargo pushing empty sequence characteristic information is matched into the strip cargo pushing time sequence information in the strip cargo pushing time sequence information, strip cargo pushing business coverage is carried out by using a set strip cargo pushing strategy, and then associated strip cargo pushing control is carried out on the strip cargo pushing time sequence information and the strip cargo pushing empty sequence characteristic information corresponding to the commodity configuration item strip cargo pushing service. Therefore, key pushing strategy components in the strip goods pushing process are considered, the condition that a series of strip goods pushing is inaccurate in the process of pushing the strip goods in the flow is reduced, and the accuracy of the strip goods pushing result is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a live broadcast tape cargo pushing method and system based on big data.
Background
At present, in a commodity configuration project, a key pushing strategy component in a tape cargo pushing process is not considered, so that a series of situations of inaccurate tape cargo pushing may be generated in the flow tape cargo pushing process, and the final tape cargo pushing result error rate is high.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a live broadcast tape cargo pushing method and system based on big data, which consider a key pushing policy component in a tape cargo pushing process, thereby greatly reducing a situation that a series of tape cargo pushing may be inaccurate in a flow tape cargo pushing process, and improving accuracy of a tape cargo pushing result.
According to one aspect of the embodiment of the invention, a live broadcast tape cargo pushing method based on big data is provided and applied to a server, and the method comprises the following steps:
acquiring commodity configuration parameter information of live broadcast delivery service, and acquiring key delivery strategy component information of the live broadcast delivery service according to a matching relation between each commodity configuration item in the commodity configuration parameter information and a preset delivery strategy;
analyzing the key pushing strategy component information to respectively obtain the time sequence information of pushing with goods and the empty sequence characteristic information of pushing with goods;
matching the strip cargo pushing empty sequence characteristic information into the strip cargo pushing sequence information in the strip cargo pushing sequence information, and forming a big data-based live broadcast strip cargo pushing result after the strip cargo pushing sequence information and the strip cargo pushing empty sequence characteristic information are covered by a strip cargo pushing business by using a set strip cargo pushing strategy, wherein the big data-based live broadcast strip cargo pushing result comprises at least one commodity configuration item strip cargo pushing service;
and in the subsequent delivery process of the at least one commodity configuration project delivery service, performing associated delivery control on the delivery time sequence information and the delivery empty sequence characteristic information corresponding to the commodity configuration project delivery service.
In a possible example, the step of obtaining the commodity configuration parameter information of the live broadcast tape cargo push service and obtaining the key push policy component information of the live broadcast tape cargo push service according to the matching relationship between each commodity configuration item in the commodity configuration parameter information and a preset push policy includes:
dividing the live broadcast delivery service into a plurality of non-overlapping commodity configuration item matching items according to a preset delivery identification strategy;
determining a strategy node of the matching item of the commodity configuration item according to the fragment feature vector of the matching item of the commodity configuration item;
carrying out multi-group key tape cargo pushing identification on the live tape cargo pushing service according to a plurality of preset key tape cargo pushing processing threads;
acquiring commodity configuration parameter information of live broadcast delivery service according to each group of key delivery identification results and the strategy node of each commodity configuration item matching table item;
and obtaining key push strategy component information of the live broadcast delivery service according to the matching relation between each commodity configuration item in the commodity configuration parameter information and a preset push strategy.
In one possible example, the step of determining a policy node of the commodity configuration item matching table entry according to the segment feature vector of the commodity configuration item matching table entry includes:
and determining that the commodity configuration item matching item is a complex commodity configuration item matching item or a simple commodity configuration item matching item according to the fragment feature vector of the commodity configuration item matching item.
In a possible example, the step of performing multiple sets of key tape cargo pushing identifications on the live tape cargo pushing service according to multiple preset key tape cargo pushing processing threads includes:
carrying out first key tape cargo pushing identification on the live tape cargo pushing service according to a preset first key tape cargo pushing processing thread, wherein the first key tape cargo pushing processing thread comprises carrying out tape cargo pushing identification processing on the live tape cargo pushing service by utilizing a plurality of groups of non-same interval key tape cargo pushing identification modes, and carrying out first key tape cargo pushing identification on the live tape cargo pushing service according to a tape cargo pushing identification processing result;
carrying out second key tape cargo pushing identification on the live tape cargo pushing service according to a preset second key tape cargo pushing processing thread; the second key strip goods pushing processing thread comprises a random forest tree key strip goods pushing identification script, live broadcast strip goods pushing service carries out strip goods pushing identification processing, and the second key strip goods pushing identification is carried out on the live broadcast strip goods pushing service according to a strip goods pushing identification processing result.
In a possible example, the step of performing associated delivery control on the delivery timing information and the delivery empty-sequence characteristic information corresponding to the delivery configuration item delivery service includes:
generating at least one service configuration table item of the commodity configuration project delivery service, and adding identification information of a map service configuration table item in the service configuration table item of the commodity configuration project delivery service;
when the goods configuration project delivery service is output, selecting one service configuration table from the service configuration table of the at least one goods configuration project delivery service, and performing associated delivery control on delivery time sequence information and delivery empty sequence characteristic information corresponding to the goods configuration project delivery service according to identification information of the service configuration table.
According to another aspect of the embodiment of the present invention, a live broadcast tape cargo push system based on big data is provided, which is applied to a server, and the system includes:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring commodity configuration parameter information of live broadcast delivery service and acquiring key delivery strategy component information of the live broadcast delivery service according to a matching relation between each commodity configuration item in the commodity configuration parameter information and a preset delivery strategy;
the analysis module is used for analyzing the key pushing strategy component information to respectively obtain the cargo-carrying pushing time sequence information and the cargo-carrying pushing empty sequence characteristic information;
the matching module is used for matching the strip cargo pushing empty sequence characteristic information into the strip cargo pushing sequence information in the strip cargo pushing sequence information, and forming a live broadcast strip cargo pushing result based on big data after the strip cargo pushing sequence information and the strip cargo pushing empty sequence characteristic information are covered by a strip cargo pushing business by using a set strip cargo pushing strategy, wherein the live broadcast strip cargo pushing result based on the big data comprises at least one commodity configuration item strip cargo pushing service;
and the pushing control module is used for carrying out related delivery control on the delivery timing sequence information and the delivery empty sequence characteristic information corresponding to the delivery service of the commodity configuration project in the subsequent delivery process of the delivery service of the at least one commodity configuration project.
According to another aspect of the embodiments of the present invention, a readable storage medium is provided, where a computer program is stored on the readable storage medium, and the computer program, when executed by a processor, may perform the steps of the big data based live tape cargo pushing method described above.
Compared with the prior art, the live broadcast tape cargo pushing method and system based on big data provided by the embodiment of the invention, the method comprises the steps of obtaining commodity configuration parameter information of live broadcast delivery service, obtaining key delivery strategy component information of the live broadcast delivery service according to the matching relation between each commodity configuration item in the commodity configuration parameter information and a preset delivery strategy, analyzing the key delivery strategy component information to respectively obtain delivery timing sequence information and delivery empty sequence characteristic information, matching the characteristic information of the empty sequence of the pushing of the loaded goods with the information of the pushing sequence of the loaded goods, and after the tape cargo pushing time sequence information and the tape cargo pushing empty sequence characteristic information are covered by tape cargo pushing business by using a set tape cargo pushing strategy, and carrying out related delivery control on the delivery time sequence information and the delivery empty sequence characteristic information corresponding to the delivery configuration project delivery service. Therefore, key pushing strategy components in the strip goods pushing process are considered, the situation that a series of strip goods pushing is inaccurate in the process of pushing the strip goods in the flow is greatly reduced, and the accuracy of the strip goods pushing result is improved.
In order to make the aforementioned objects, features and advantages of the embodiments of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 illustrates a component diagram of a server provided by an embodiment of the invention;
fig. 2 is a schematic flow chart illustrating a big data-based live tape cargo pushing method according to an embodiment of the present invention;
fig. 3 shows a functional block diagram of a big data-based live tape cargo push system according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood by the scholars in the technical field, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 shows an exemplary component schematic of a server 100. The server 100 may include one or more processors 104, such as one or more Central Processing Units (CPUs), each of which may implement one or more hardware threads. The server 100 may also include any storage media 106 for storing any kind of information, such as code, settings, data, etc. For example, and without limitation, storage medium 106 may include any one or more of the following in combination: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any storage medium may use any technology to store information. Further, any storage medium may provide volatile or non-volatile retention of information. Further, any storage medium may represent a fixed or removable component of server 100. In one case, when the processor 104 executes the associated instructions stored in any storage medium or combination of storage media, the server 100 may perform any of the operations of the associated instructions. The server 100 further comprises one or more drive units 108 for interacting with any storage medium, such as a hard disk drive unit, an optical disk drive unit, etc.
The server 100 also includes input/output 110 (I/O) for receiving various inputs (via input unit 112) and for providing various outputs (via output unit 114)). One particular output mechanism may include a presentation device 116 and an associated Graphical User Interface (GUI) 118. The server 100 may also include one or more network interfaces 120 for exchanging data with other devices via one or more communication units 122. One or more communication buses 124 couple the above-described components together.
The communication unit 122 may be implemented in any manner, such as over a local area network, a wide area network (e.g., the internet), a point-to-point connection, etc., or any combination thereof. The communication unit 122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers 100, and so forth, governed by any protocol or combination of protocols.
Fig. 2 is a flowchart illustrating a big-data-based live broadcast tape cargo pushing method according to an embodiment of the present invention, where the big-data-based live broadcast tape cargo pushing method may be executed by the server 100 shown in fig. 1, and detailed steps of the big-data-based live broadcast tape cargo pushing method are described as follows.
Step S110, commodity configuration parameter information of the live broadcast delivery service is obtained, and key delivery strategy component information of the live broadcast delivery service is obtained according to the matching relation between each commodity configuration item in the commodity configuration parameter information and a preset delivery strategy.
And step S120, analyzing the key pushing strategy component information to respectively obtain the time sequence information of pushing with goods and the empty sequence characteristic information of pushing with goods.
Step S130, matching the strip goods pushing empty sequence characteristic information into the strip goods pushing time sequence information, and forming a live broadcast strip goods pushing result based on big data after the strip goods pushing time sequence information and the strip goods pushing empty sequence characteristic information are covered by a strip goods pushing business through a set strip goods pushing strategy, wherein the live broadcast strip goods pushing result based on the big data comprises at least one goods configuration item strip goods pushing service.
Step S140, in a subsequent delivery process of the at least one commodity configuration item delivery service, performing associated delivery control on the delivery timing information and the delivery empty-sequence characteristic information corresponding to the commodity configuration item delivery service.
Based on the above steps, the present embodiment obtains the goods configuration parameter information of the live tape goods push service, and obtaining key push strategy component information of the live broadcast delivery service according to the matching relation between each commodity configuration item in the commodity configuration parameter information and a preset push strategy, then analyzing the key push strategy component information to respectively obtain delivery timing sequence information and delivery empty sequence characteristic information, matching the characteristic information of the empty sequence of the pushing of the loaded goods with the information of the pushing sequence of the loaded goods, and after the tape cargo pushing time sequence information and the tape cargo pushing empty sequence characteristic information are covered by tape cargo pushing business by using a set tape cargo pushing strategy, and carrying out related delivery control on the delivery time sequence information and the delivery empty sequence characteristic information corresponding to the delivery configuration project delivery service. Therefore, key pushing strategy components in the strip goods pushing process are considered, the situation that a series of strip goods pushing is inaccurate in the process of pushing the strip goods in the flow is greatly reduced, and the accuracy of the strip goods pushing result is improved.
In a possible example, for step S110, the live delivery service may be divided into a plurality of non-overlapping matching items of merchandise configuration items according to a preset delivery identification policy.
Then, according to the fragment feature vector of the matching item of the commodity configuration item, determining a strategy node of the matching item of the commodity configuration item, performing multi-group key delivery pushing identification on the live broadcast delivery service according to a plurality of preset key delivery pushing processing threads, and then obtaining commodity configuration parameter information of the live broadcast delivery service according to each group of key delivery pushing identification results and the strategy node of each matching item of the commodity configuration item, so as to obtain key delivery strategy component information of the live broadcast delivery service according to the matching relation between each commodity configuration item in the commodity configuration parameter information and a preset delivery strategy.
In a possible example, in the process of determining the policy node of the matching item of the commodity configuration item according to the fragment feature vector of the matching item of the commodity configuration item, it may be specifically determined that the matching item of the commodity configuration item is a complex matching item of the commodity configuration item or a simple matching item of the commodity configuration item according to the fragment feature vector of the matching item of the commodity configuration item.
In a possible example, it is right according to multiple preset key strip goods pushing processing threads in the process of carrying out multi-group key strip goods pushing identification on live broadcast strip goods pushing service, and specifically, it is right to carry out first key strip goods pushing identification on live broadcast strip goods pushing service according to a preset first key strip goods pushing processing thread, wherein the first key strip goods pushing processing thread comprises utilizing a multi-group non-same-interval key strip goods pushing identification mode to carry out strip goods pushing identification processing on the live broadcast strip goods pushing service, and it is right to carry out first key strip goods pushing identification on the live broadcast strip goods pushing service according to a strip goods pushing identification processing result.
On the basis, second key delivery pushing identification can be carried out on the live broadcast delivery service according to a preset second key delivery pushing processing thread. The second key strip goods pushing processing thread comprises a random forest tree key strip goods pushing identification script, live broadcast strip goods pushing service carries out strip goods pushing identification processing, and the second key strip goods pushing identification is carried out on the live broadcast strip goods pushing service according to a strip goods pushing identification processing result.
In a possible example, in the process of performing associated delivery control on the delivery time sequence information and the delivery empty-sequence characteristic information corresponding to the delivery configuration item delivery service, the embodiment may specifically generate at least one service configuration item of the delivery configuration item delivery service, and add identification information of a map service configuration item in the service configuration item of the at least one delivery configuration item delivery service. On this basis, when the commodity configuration project shipped push service is output, one service configuration table entry can be selected from the service configuration table entries of the at least one commodity configuration project shipped push service, and the shipped push timing information and the shipped push empty sequence characteristic information corresponding to the commodity configuration project shipped push service are subjected to associated shipped push control according to the identification information of the service configuration table entry.
Fig. 3 shows a functional block diagram of a big-data-based live broadcast tape cargo pushing system 200 according to an embodiment of the present invention, where the functions implemented by the big-data-based live broadcast tape cargo pushing system 200 may correspond to the steps executed by the foregoing method. The live broadcast tape cargo pushing system 200 based on big data may be understood as the server 100, or a processor of the server 100, or may be understood as a component that is independent from the server 100 or the processor and implements the functions of the present invention under the control of the server 100, as shown in fig. 3, and the functions of each functional module of the live broadcast tape cargo pushing system 200 based on big data are respectively explained in detail below.
The obtaining module 210 is configured to obtain commodity configuration parameter information of a live broadcast delivery push service, and obtain key push policy component information of the live broadcast delivery push service according to a matching relationship between each commodity configuration item in the commodity configuration parameter information and a preset push policy.
And the analyzing module 220 is configured to analyze the key pushing strategy component information to obtain the time sequence information of pushing with goods and the empty sequence characteristic information of pushing with goods, respectively.
The matching module 230 is configured to match the cargo-carrying pushing empty sequence characteristic information to the cargo-carrying pushing time sequence information, and form a live-broadcast cargo-carrying pushing result based on big data after the cargo-carrying pushing service is covered by the cargo-carrying pushing time sequence information and the cargo-carrying pushing empty sequence characteristic information by using a set cargo-carrying pushing strategy, where the live-broadcast cargo-carrying pushing result based on the big data includes at least one cargo configuration item cargo-carrying pushing service.
The pushing control module 240 is configured to perform associated delivery control on the delivery timing information and the delivery empty-sequence characteristic information corresponding to the delivery service of the at least one commodity configuration item in a subsequent delivery process of the delivery service of the at least one commodity configuration item.
In a possible example, the obtaining module 210 obtains the commodity configuration parameter information of the live broadcast delivery push service in the following manner, and obtains the key push policy component information of the live broadcast delivery push service according to a matching relationship between each commodity configuration item in the commodity configuration parameter information and a preset push policy:
dividing the live broadcast delivery service into a plurality of non-overlapping commodity configuration item matching items according to a preset delivery identification strategy;
determining a strategy node of the matching item of the commodity configuration item according to the fragment feature vector of the matching item of the commodity configuration item;
carrying out multi-group key tape cargo pushing identification on the live tape cargo pushing service according to a plurality of preset key tape cargo pushing processing threads;
acquiring commodity configuration parameter information of live broadcast delivery service according to each group of key delivery identification results and the strategy node of each commodity configuration item matching table item;
and obtaining key push strategy component information of the live broadcast delivery service according to the matching relation between each commodity configuration item in the commodity configuration parameter information and a preset push strategy.
In one possible example, the obtaining module 210 determines that the merchandise configuration item matches a policy node of an entry by:
and determining that the commodity configuration item matching item is a complex commodity configuration item matching item or a simple commodity configuration item matching item according to the fragment feature vector of the commodity configuration item matching item.
In one possible example, the obtaining module 210 performs multiple sets of key tape delivery identifications for the live tape delivery service by:
carrying out first key tape cargo pushing identification on the live tape cargo pushing service according to a preset first key tape cargo pushing processing thread, wherein the first key tape cargo pushing processing thread comprises carrying out tape cargo pushing identification processing on the live tape cargo pushing service by utilizing a plurality of groups of non-same interval key tape cargo pushing identification modes, and carrying out first key tape cargo pushing identification on the live tape cargo pushing service according to a tape cargo pushing identification processing result;
carrying out second key tape cargo pushing identification on the live tape cargo pushing service according to a preset second key tape cargo pushing processing thread; the second key delivery push processing thread comprises a random forest tree key delivery push recognition system, the direct broadcast delivery service carries out delivery push recognition processing, and the second key delivery push recognition is carried out on the direct broadcast delivery service according to a delivery push recognition processing result.
In a possible example, the pushing control module 250 performs associated tape cargo pushing control on tape cargo pushing timing information and tape cargo pushing empty-order characteristic information corresponding to the tape cargo pushing service of the commodity configuration project by:
generating at least one service configuration table item of the commodity configuration project delivery service, and adding identification information of a map service configuration table item in the service configuration table item of the commodity configuration project delivery service;
when the goods configuration project delivery service is output, selecting one service configuration table from the service configuration table of the at least one goods configuration project delivery service, and performing associated delivery control on delivery time sequence information and delivery empty sequence characteristic information corresponding to the goods configuration project delivery service according to identification information of the service configuration table.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
Alternatively, all or part of the implementation may be in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any drawing credit or debit acknowledgement in the claims should not be construed as limiting the claim concerned.
Claims (10)
1. A live broadcast tape cargo pushing method based on big data is applied to a server, and the method comprises the following steps:
acquiring commodity configuration parameter information of live broadcast delivery service, and acquiring key delivery strategy component information of the live broadcast delivery service according to a matching relation between each commodity configuration item in the commodity configuration parameter information and a preset delivery strategy;
analyzing the key pushing strategy component information to respectively obtain the time sequence information of pushing with goods and the empty sequence characteristic information of pushing with goods;
matching the strip cargo pushing empty sequence characteristic information into the strip cargo pushing sequence information in the strip cargo pushing sequence information, and forming a big data-based live broadcast strip cargo pushing result after the strip cargo pushing sequence information and the strip cargo pushing empty sequence characteristic information are covered by a strip cargo pushing business by using a set strip cargo pushing strategy, wherein the big data-based live broadcast strip cargo pushing result comprises at least one commodity configuration item strip cargo pushing service;
and in the subsequent delivery process of the at least one commodity configuration project delivery service, performing associated delivery control on the delivery time sequence information and the delivery empty sequence characteristic information corresponding to the commodity configuration project delivery service.
2. The big-data-based live broadcast tape cargo pushing method according to claim 1, wherein the step of obtaining commodity configuration parameter information of a live broadcast tape cargo pushing service and obtaining key pushing policy component information of the live broadcast tape cargo pushing service according to a matching relationship between each commodity configuration item in the commodity configuration parameter information and a preset pushing policy comprises:
dividing the live broadcast delivery service into a plurality of non-overlapping commodity configuration item matching items according to a preset delivery identification strategy;
determining a strategy node of the matching item of the commodity configuration item according to the fragment feature vector of the matching item of the commodity configuration item;
carrying out multi-group key tape cargo pushing identification on the live tape cargo pushing service according to a plurality of preset key tape cargo pushing processing threads;
acquiring commodity configuration parameter information of live broadcast delivery service according to each group of key delivery identification results and the strategy node of each commodity configuration item matching table item;
and obtaining key push strategy component information of the live broadcast delivery service according to the matching relation between each commodity configuration item in the commodity configuration parameter information and a preset push strategy.
3. The live broadcast and cargo delivery pushing method based on big data as claimed in claim 2, wherein the step of determining the policy node of the matching item of the commodity configuration item according to the segment feature vector of the matching item of the commodity configuration item comprises:
and determining that the commodity configuration item matching item is a complex commodity configuration item matching item or a simple commodity configuration item matching item according to the fragment feature vector of the commodity configuration item matching item.
4. The big-data-based live broadcast tape cargo pushing method according to claim 2, wherein the step of performing multi-group key tape cargo pushing identification on the live broadcast tape cargo pushing service according to a plurality of preset key tape cargo pushing processing threads comprises the steps of:
carrying out first key tape cargo pushing identification on the live tape cargo pushing service according to a preset first key tape cargo pushing processing thread, wherein the first key tape cargo pushing processing thread comprises carrying out tape cargo pushing identification processing on the live tape cargo pushing service by utilizing a plurality of groups of non-same interval key tape cargo pushing identification modes, and carrying out first key tape cargo pushing identification on the live tape cargo pushing service according to a tape cargo pushing identification processing result;
carrying out second key tape cargo pushing identification on the live tape cargo pushing service according to a preset second key tape cargo pushing processing thread; the second key strip goods pushing processing thread comprises a random forest tree key strip goods pushing identification script, live broadcast strip goods pushing service carries out strip goods pushing identification processing, and the second key strip goods pushing identification is carried out on the live broadcast strip goods pushing service according to a strip goods pushing identification processing result.
5. The live broadcast tape cargo pushing method based on big data according to claim 1, wherein the step of performing associated tape cargo pushing control on tape cargo pushing time sequence information and tape cargo pushing empty sequence characteristic information corresponding to the commodity configuration item tape cargo pushing service includes:
generating at least one service configuration table item of the commodity configuration project delivery service, and adding identification information of a map service configuration table item in the service configuration table item of the commodity configuration project delivery service;
when the goods configuration project delivery service is output, selecting one service configuration table from the service configuration table of the at least one goods configuration project delivery service, and performing associated delivery control on delivery time sequence information and delivery empty sequence characteristic information corresponding to the goods configuration project delivery service according to identification information of the service configuration table.
6. The utility model provides a live tape cargo push system based on big data which characterized in that is applied to the server, the system includes:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring commodity configuration parameter information of live broadcast delivery service and acquiring key delivery strategy component information of the live broadcast delivery service according to a matching relation between each commodity configuration item in the commodity configuration parameter information and a preset delivery strategy;
the analysis module is used for analyzing the key pushing strategy component information to respectively obtain the cargo-carrying pushing time sequence information and the cargo-carrying pushing empty sequence characteristic information;
the matching module is used for matching the strip cargo pushing empty sequence characteristic information into the strip cargo pushing sequence information in the strip cargo pushing sequence information, and forming a live broadcast strip cargo pushing result based on big data after the strip cargo pushing sequence information and the strip cargo pushing empty sequence characteristic information are covered by a strip cargo pushing business by using a set strip cargo pushing strategy, wherein the live broadcast strip cargo pushing result based on the big data comprises at least one commodity configuration item strip cargo pushing service;
and the pushing control module is used for carrying out related delivery control on the delivery timing sequence information and the delivery empty sequence characteristic information corresponding to the delivery service of the commodity configuration project in the subsequent delivery process of the delivery service of the at least one commodity configuration project.
7. The big-data-based live broadcast tape cargo pushing system according to claim 6, wherein the obtaining module obtains commodity configuration parameter information of a live broadcast tape cargo pushing service in the following manner, and obtains key pushing policy component information of the live broadcast tape cargo pushing service according to a matching relationship between each commodity configuration item in the commodity configuration parameter information and a preset pushing policy:
dividing the live broadcast delivery service into a plurality of non-overlapping commodity configuration item matching items according to a preset delivery identification strategy;
determining a strategy node of the matching item of the commodity configuration item according to the fragment feature vector of the matching item of the commodity configuration item;
carrying out multi-group key tape cargo pushing identification on the live tape cargo pushing service according to a plurality of preset key tape cargo pushing processing threads;
acquiring commodity configuration parameter information of live broadcast delivery service according to each group of key delivery identification results and the strategy node of each commodity configuration item matching table item;
and obtaining key push strategy component information of the live broadcast delivery service according to the matching relation between each commodity configuration item in the commodity configuration parameter information and a preset push strategy.
8. The big-data-based live broadcast tape cargo pushing system according to claim 7, wherein the obtaining module determines the policy node that the commodity configuration item matches the table entry by:
and determining that the commodity configuration item matching item is a complex commodity configuration item matching item or a simple commodity configuration item matching item according to the fragment feature vector of the commodity configuration item matching item.
9. The big-data-based live broadcast tape cargo pushing system according to claim 7, wherein the obtaining module performs multiple groups of key tape cargo pushing identification on the live broadcast tape cargo pushing service by:
carrying out first key tape cargo pushing identification on the live tape cargo pushing service according to a preset first key tape cargo pushing processing thread, wherein the first key tape cargo pushing processing thread comprises carrying out tape cargo pushing identification processing on the live tape cargo pushing service by utilizing a plurality of groups of non-same interval key tape cargo pushing identification modes, and carrying out first key tape cargo pushing identification on the live tape cargo pushing service according to a tape cargo pushing identification processing result;
carrying out second key tape cargo pushing identification on the live tape cargo pushing service according to a preset second key tape cargo pushing processing thread; the second key delivery push processing thread comprises a random forest tree key delivery push recognition system, the direct broadcast delivery service carries out delivery push recognition processing, and the second key delivery push recognition is carried out on the direct broadcast delivery service according to a delivery push recognition processing result.
10. The live broadcast tape cargo pushing system based on big data according to claim 6, wherein the pushing control module performs associated tape cargo pushing control on tape cargo pushing timing information and tape cargo pushing empty-order characteristic information corresponding to the commodity configuration project tape cargo pushing service in the following manner:
generating at least one service configuration table item of the commodity configuration project delivery service, and adding identification information of a map service configuration table item in the service configuration table item of the commodity configuration project delivery service;
when the goods configuration project delivery service is output, selecting one service configuration table from the service configuration table of the at least one goods configuration project delivery service, and performing associated delivery control on delivery time sequence information and delivery empty sequence characteristic information corresponding to the goods configuration project delivery service according to identification information of the service configuration table.
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