CN111311296A - Method, device, equipment and storage medium for analyzing preference attribute of call ticket - Google Patents

Method, device, equipment and storage medium for analyzing preference attribute of call ticket Download PDF

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CN111311296A
CN111311296A CN201811520498.9A CN201811520498A CN111311296A CN 111311296 A CN111311296 A CN 111311296A CN 201811520498 A CN201811520498 A CN 201811520498A CN 111311296 A CN111311296 A CN 111311296A
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ticket
attribute
processed
preferential
identification code
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胡奕然
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China Mobile Communications Group Co Ltd
China Mobile Group Anhui Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Group Anhui Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0208—Trade or exchange of goods or services in exchange for incentives or rewards
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0211—Determining the effectiveness of discounts or incentives

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Abstract

The invention provides a method, a device, equipment and a storage medium for analyzing preference attributes of call tickets, and relates to the technical field of communication. The method for analyzing the preference attribute of the call ticket comprises the following steps: acquiring a ticket to be processed, wherein the ticket to be processed is configured with a preferential attribute identification code; and analyzing the discount attribute identification code according to a preset discount attribute analysis strategy to obtain the discount attribute met by the ticket to be processed. The technical scheme of the invention can be used for realizing the analysis of the preferential attribute of the call ticket.

Description

Method, device, equipment and storage medium for analyzing preference attribute of call ticket
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for analyzing a preference attribute of a ticket.
Background
In the process of using the communication service, the user generates a call ticket of the user. The original communication information is recorded in the ticket. For example, the call ticket may include information such as serial number, subscriber identity, calling number, called number, start time, end time, call duration, call nature, rate, charge, discount, etc.
At present, operators provide a variety of benefits to users. A user may use multiple offers to overlay each other. However, the user or the operator cannot know the specific preferential content from the call ticket, and the analysis of the call ticket of the user is not convenient. Therefore, a method for analyzing the preference attribute of the call ticket is needed.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for analyzing a preference attribute of a call ticket, which can realize the analysis of the preference attribute of the call ticket.
In a first aspect, an embodiment of the present invention provides a method for analyzing a preference attribute of a ticket, including: acquiring a ticket to be processed, wherein the ticket to be processed is configured with a preferential attribute identification code; and analyzing the discount attribute identification code according to a preset discount attribute analysis strategy to obtain the discount attribute met by the ticket to be processed.
In some possible embodiments, the method for analyzing the preference attribute of the ticket further includes: determining the preferential attribute met by the ticket to be processed by utilizing the information associated with the ticket to be processed in the server; marking the discount attribute met by the ticket to be processed to obtain a discount attribute identification code; and configuring a preferential attribute identification code for the ticket to be processed.
In some possible embodiments, the offer attribute identification code includes at least one element, one element indicating whether an offer attribute is satisfied or not, or one element indicating a subordinate type of an offer attribute.
In some possible embodiments, the method for analyzing the preference attribute of the ticket further includes: acquiring a ticket and judging whether the ticket has a preference; and if the ticket has the preference, taking the ticket as a ticket to be processed.
In some possible embodiments, marking the preferential attribute met by the ticket to be processed to obtain the preferential attribute identification code, including: judging whether the ticket to be processed meets each preferential attribute; generating a target identifier corresponding to the preferential attribute met by the ticket to be processed; and obtaining the preferential attribute identification code according to the target identification.
In some possible embodiments, the offer attribute resolution policy includes a correspondence between offer attributes and identifiers, and the identifiers include target identifiers.
In a second aspect, an embodiment of the present invention provides a device for analyzing a preference attribute of a ticket, including: the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a ticket to be processed, and the ticket to be processed is configured with a preferential attribute identification code; and the analysis module is used for analyzing the discount attribute identification code according to a preset discount attribute analysis strategy to obtain the discount attribute met by the ticket to be processed.
In some possible embodiments, the apparatus for parsing a ticket offer attribute further includes: the attribute determining module is used for determining the preferential attribute met by the ticket to be processed by utilizing the information associated with the ticket to be processed in the server; the marking module is used for marking the discount attribute met by the ticket to be processed to obtain the discount attribute identification code; and the configuration module is used for configuring the preferential attribute identification code for the ticket to be processed.
In some possible embodiments, the offer attribute identification code includes at least one element, one element indicating whether an offer attribute is satisfied or not, or one element indicating a subordinate type of an offer attribute.
In some possible embodiments, the apparatus for parsing a ticket offer attribute further includes: the sorting module is used for acquiring the call ticket and judging whether the call ticket has a preference; and if the ticket has the preference, the ticket is used as the ticket to be processed.
In some possible embodiments, the marking module is specifically configured to: judging whether the ticket to be processed meets each preferential attribute; generating a target identifier corresponding to the preferential attribute met by the ticket to be processed; and obtaining the preferential attribute identification code according to the target identification.
In some possible embodiments, the offer attribute resolution policy includes a correspondence between offer attributes and identifiers, and the identifiers include target identifiers.
In a third aspect, an embodiment of the present invention provides a device for analyzing a coupon attribute, including a memory, a processor, and a program stored in the memory and capable of running on the processor, where the processor implements the method for analyzing the coupon attribute in the foregoing technical solution when executing the program.
In a fourth aspect, an embodiment of the present invention provides a storage medium, where a program is stored on the storage medium, and when the program is executed by a processor, the method for analyzing a preference attribute of a call ticket in the foregoing technical solution is implemented.
The embodiment of the invention provides a method, a device, equipment and a storage medium for analyzing a preference attribute of a ticket, wherein a ticket to be processed is configured with a preference attribute identification code, and the preference attribute met by the ticket to be processed is obtained by analyzing the preference attribute identification code by utilizing a preset preference attribute analysis strategy. Therefore, the preference attribute of each ticket can be obtained. The preference attribute of the call ticket can be visually displayed for operators or users, and the resolution of the preference attribute of the conversation ticket is realized.
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The present invention will be better understood from the following description of specific embodiments thereof taken in conjunction with the accompanying drawings, in which like or similar reference characters designate like or similar features.
Fig. 1 is a flowchart of a method for analyzing a preference attribute of a call ticket in an embodiment of the present invention;
FIG. 2 is a flow chart of a method for analyzing preference attributes of call tickets according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of a ticket preference attribute analysis device in an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a ticket preference attribute analysis device in another embodiment of the present invention;
fig. 5 is a schematic structural diagram of a ticket preference attribute analysis device in the embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention. The present invention is in no way limited to any specific configuration and algorithm set forth below, but rather covers any modification, replacement or improvement of elements, components or algorithms without departing from the spirit of the invention. In the drawings and the following description, well-known structures and techniques are not shown in order to avoid unnecessarily obscuring the present invention.
The embodiment of the invention provides a method, a device, equipment and a storage medium for analyzing a preference attribute of a call ticket, which can be applied to a terminal side and used for analyzing the preference attribute related to the call ticket for a user or an operator.
Fig. 1 is a flowchart of a method for analyzing a preference attribute of a call ticket in an embodiment of the present invention. As shown in fig. 1, the method for analyzing the preference attribute of the call ticket may include step S101 and step S102.
In step S101, a ticket to be processed is obtained.
The ticket to be processed is configured with a preferential attribute identification code. The preferential attribute identification code can be used for representing preferential attributes of the ticket to be processed. The preference attribute is used to represent a preference of the user corresponding to the to-be-processed ticket, and the specific preference may be a voice service preference, a traffic service preference, or the like, which is not limited herein. For example, the offer attributes may include forward offer attributes, area offer attributes, targeted offer attributes, shared offer attributes, and the like.
In some examples, the offer attribute identification code includes at least one element. Specifically, the preferential attribute identification code may be identified by a matrix, for example, by using a matrix of 1 × n, where n is the number of preferential attributes. The offer attribute identification code may also be represented by a string of offer rules (CPR). For example, the preferential attribute identification code Pi ═ Y1，Y2，……，Yn]. Wherein, Y1、Y2、……、YnAre all elements of the preferential attribute identification code.
The above one element indicates whether or not an offer attribute is satisfied, or one element indicates a subordinate type of an offer attribute. The same preference attribute can be subdivided into a plurality of subclasses. For example, table one shows the meaning of the element representation corresponding to part of the offer attribute.
Watch 1
Forward offer attributes Area preference attributes Directional offer attributes Sharing preferential attributes
0-has 0-has 0-has 0-has
1-is provided with 1-campus 1-Aiqiyi art 1-is provided with
2-subway 2-Tencent video
For example, the element corresponding to the forward offer attribute is 0, which indicates that the corresponding to-be-processed ticket has no forward offer attribute. And the element corresponding to the transfer discount attribute is 1, which indicates that the corresponding ticket to be processed has the transfer discount attribute. For another example, the element corresponding to the area preference attribute is 0, which indicates that the corresponding to-be-processed ticket has no area preference attribute. And the element corresponding to the area preference attribute is 1, which indicates that the corresponding ticket to be processed has the area preference attribute in the campus. And the element corresponding to the area preference attribute is 2, which indicates that the corresponding ticket to be processed has the area preference attribute in the subway. The element 1 and the element 2 indicate the subordinate types of the area preference attribute, and the subordinate types of the area preference attribute comprise a campus and a subway.
In step S102, the discount attribute identification code is analyzed according to a preset discount attribute analysis policy, so as to obtain a discount attribute satisfied by the ticket to be processed.
The preset preferential attribute analysis strategy is used for assisting in decoding the preferential attribute identification code, namely, the preset preferential attribute analysis strategy records the content of converting the preferential attribute identification code into the preferential attribute. In some examples, the offer attribute resolution policy includes a correspondence of offer attributes to the identifications. The identification may be a value that is an element in the offer attribute identification code.
For example, as shown in the above table one, the values 0, 1, and 2 are identifiers, and the identifiers may be used as elements of the benefit attribute identification code, that is, the benefit attribute identification code is obtained by using an identifier combination.
In the embodiment of the invention, the ticket to be processed is configured with the preferential attribute identification code, and the preferential attribute met by the ticket to be processed is obtained by analyzing the preferential attribute identification code by using the preset preferential attribute analysis strategy. Therefore, the preference attribute of each ticket can be obtained. The preference attribute of the call ticket can be visually displayed for operators or users, and the resolution of the preference attribute of the conversation ticket is realized.
Fig. 2 is a flowchart of a method for analyzing a preference attribute of a call ticket in another embodiment of the present invention. Fig. 2 is different from fig. 1 in that the method for analyzing the preference attribute of the call ticket shown in fig. 2 may further include steps S103 to S107.
In step S103, the preferential attribute satisfied by the ticket to be processed is determined by using the information associated with the ticket to be processed in the server.
The server stores information associated with the call ticket. The ticket comprises a to-be-processed ticket. The associated information may include, but is not limited to, subscriber information, billing information, and the like. When the dialog list is charged, the special offers related to the dialog list, such as various special offers, need to be considered. Therefore, when various preferential packages are used for carrying out charging preferential treatment on the call ticket, the following step S104 is executed to mark the preferential property met by the call ticket to be processed.
In step S104, the discount attribute satisfied by the ticket to be processed is marked to obtain the discount attribute identification code.
In some examples, it may be determined whether the pending ticket satisfies various preference attributes. And generating a target identifier corresponding to the preferential attribute satisfied by the ticket to be processed. And obtaining the preferential attribute identification code according to the target identification.
Whether the ticket to be processed meets each preference attribute can be sequentially judged, and whether the ticket to be processed meets each preference attribute can also be synchronously judged, which is not limited herein. And marking the preferential attribute met by the ticket to be processed as the target identification. It should be noted that the target identifier may include a plurality of sub identifiers, and the sub identifiers may indicate the subordinate types of the satisfied offer attribute. And obtaining the preferential attribute identification code according to the target identification.
In some examples, a non-target identifier corresponding to a preference attribute that is not satisfied by the to-be-processed ticket may be generated. And arranging the target identifier and the non-target identifier according to the arrangement sequence of the elements representing the preferential attribute in the preferential attribute identifier code by using the target identifier and the non-target identifier, and combining the target identifier and the non-target identifier to obtain the preferential attribute identifier code.
For example, the arrangement order of the elements indicating the benefit attributes in the benefit attribute identification codes is sequentially four items of the forward benefit attributes, the area benefit attributes, the directional benefit attributes and the shared benefit attributes. Assume that the meaning represented by the value of the element corresponding to the offer attribute is as shown in table one. If the ticket to be processed meets the subordinate type subway in the transfer discount attribute and the regional discount attribute, generating a target identifier '1' corresponding to the transfer discount attribute and a target identifier '2' corresponding to the subordinate type subway in the regional discount attribute. And if the ticket to be processed does not meet the directional preference attribute and the shared preference attribute, generating a non-target identifier '0' corresponding to the directional preference attribute and a non-target identifier '0' corresponding to the shared preference attribute. The preference attribute identification codes "1200" may be combined.
In other examples, an initial offer attribute identification code may be preset, and the value of each element of the initial offer attribute identification code is an initial value, such as an initial value of 0. Marking the discount attribute met by the ticket to be processed in the initial discount attribute identification code, and replacing the initial value corresponding to the met discount attribute in the initial discount attribute identification code with a target identification, so as to obtain the discount attribute identification code.
For example, the arrangement order of the elements indicating the benefit attributes in the benefit attribute identification codes is sequentially four items of the forward benefit attributes, the area benefit attributes, the directional benefit attributes and the shared benefit attributes. The initial offer attribute identification code is "0000". Assume that the meaning represented by the value of the element corresponding to the offer attribute is as shown in table one. If the ticket to be processed is full of the subordinate type campuses in the shared preferential attribute and the regional preferential attribute, a target identifier '1' corresponding to the shared preferential attribute and a target identifier '1' corresponding to the subordinate type campuses in the regional preferential attribute are generated. And if the ticket to be processed does not meet the directional discount attribute and the forward discount attribute, generating a non-target identifier '0' corresponding to the directional discount attribute and a non-target identifier '0' corresponding to the forward discount attribute. And updating the second bit and the fourth bit in the initial preferential attribute identification code to corresponding target identifications to obtain a preferential attribute identification code '0101'.
The benefit attribute analysis policy in the above embodiment includes a correspondence between the benefit attribute and the identifier, where the identifier includes the target identifier.
In step S105, a discount attribute identification code is configured for the ticket to be processed.
After obtaining the preferential attribute identification code, the preferential attribute identification code can be configured for the ticket to be processed. Specifically, the preferential attribute identification code may be added to the to-be-processed ticket, or the preferential attribute identification code may be bound with the to-be-processed ticket or a corresponding relationship may be established, which is not limited herein.
In step S106, a ticket is obtained, and whether the ticket has a preference is determined.
Before analyzing the preference attribute of the dialog list, whether the dialog list has the preference or not can be judged. If the ticket does not have the preference, the preference attribute analysis is not needed. If the ticket is determined to have the preference, step S101 and the subsequent steps are executed. The method avoids the ticket without privilege occupying the privilege attribute analysis process, thereby improving the efficiency of ticket privilege attribute analysis and reducing the resources occupied by the ticket privilege attribute analysis.
The acquired call ticket can be preprocessed. Specifically, whether the ticket deals with a preferential package or not can be inquired according to the ticket, or whether the ticket has preferential information in a server or not can be inquired, so that whether the ticket has a preferential effect or not can be determined.
In step S107, if the ticket has a preference, the ticket is used as a ticket to be processed.
And sorting the call tickets with the preferential benefits to be used as call tickets to be processed, and executing the step S101 and the subsequent steps.
Fig. 3 is a schematic structural diagram of a ticket preference attribute analysis device in an embodiment of the present invention. As shown in fig. 3, the apparatus 200 for parsing ticket preference attribute may include an obtaining module 201 and a parsing module 202.
The acquiring module 201 is configured to acquire a to-be-processed ticket, where the to-be-processed ticket is configured with a preference attribute identification code.
In some examples, the offer attribute identification code includes at least one element. One element indicates whether an offer attribute is satisfied or not, or one element indicates a subordinate type of an offer attribute.
And the analysis module 202 is used for analyzing the discount attribute identification code according to a preset discount attribute analysis strategy to obtain the discount attribute met by the ticket to be processed.
In the embodiment of the invention, the ticket to be processed is configured with the preferential attribute identification code, and the preferential attribute met by the ticket to be processed is obtained by analyzing the preferential attribute identification code by using the preset preferential attribute analysis strategy. Therefore, the preference attribute of each ticket can be obtained. The preference attribute of the call ticket can be visually displayed for operators or users, and the resolution of the preference attribute of the conversation ticket is realized.
Fig. 4 is a schematic structural diagram of a ticket preference attribute analysis device in another embodiment of the present invention. Fig. 4 is different from fig. 3 in that the apparatus for parsing a coupon attribute shown in fig. 4 may further include an attribute determining module 203, a marking module 204, a configuration module 205, and a sorting module 206.
And the attribute determining module 203 is used for determining the preferential attribute met by the ticket to be processed by using the information associated with the ticket to be processed in the server.
And the marking module 204 is used for marking the discount attribute met by the ticket to be processed to obtain the discount attribute identification code.
In some examples, the tagging module 204 is specifically configured to: judging whether the ticket to be processed meets each preferential attribute; generating a target identifier corresponding to the preferential attribute met by the ticket to be processed; and obtaining the preferential attribute identification code according to the target identification.
The configuration module 205 is configured to configure a preference attribute identification code for the ticket to be processed.
And the sorting module 206 is used for acquiring the call ticket and judging whether the call ticket has the preference. The sorting module 206 is further configured to take the ticket as a to-be-processed ticket if the ticket has a preference.
Fig. 5 is a schematic structural diagram of a ticket preference attribute analysis device in the embodiment of the present invention. As shown in fig. 5, the ticket preference attribute analyzing apparatus 300 includes a memory 301, a processor 302, and a program stored in the memory 301 and executable on the processor 302.
In one example, the processor 302 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more integrated circuits of embodiments of the present application.
Memory 301 may include mass storage for data or instructions. By way of example, and not limitation, memory 301 may include an HDD, floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Memory 301 may include removable or non-removable (or fixed) media, where appropriate. The memory 301 may be internal or external to the control device 300, where appropriate. In a particular embodiment, the memory 301 is a non-volatile solid-state memory. In certain embodiments, memory 301 comprises Read Only Memory (ROM). Where appropriate, the ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory or a combination of two or more of these.
The processor 302 reads the executable program code stored in the memory 301 to run a program corresponding to the executable program code, so as to control the method for analyzing the ticket preference attribute in the above embodiment.
In one example, the ticket preference attribute parsing device 300 may further include a communication interface 303 and a bus 304. As shown in fig. 5, the memory 301, the processor 302, and the communication interface 303 are connected via a bus 304 to complete communication therebetween.
The communication interface 303 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiment of the present application. Input devices and/or output devices may also be accessed through communication interface 303.
Bus 304 comprises hardware, software, or both to couple the components of device 300 for interprocess communication to each other. By way of example, and not limitation, the bus 304 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus, or a combination of two or more of these. Bus 304 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.
An embodiment of the present application further provides a storage medium, where the storage medium stores a program, and the program, when executed by a processor, may control the method for analyzing the preference attribute of the ticket in the foregoing embodiment.
It should be clear that the embodiments in this specification are described in a progressive manner, and the same or similar parts in the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. For apparatus embodiments, device embodiments and storage medium embodiments, reference may be made to the description of the method embodiments for relevant points. The present invention is not limited to the specific steps and structures described above and shown in the drawings. Those skilled in the art may make various changes, modifications and additions or change the order between the steps after appreciating the spirit of the invention. Also, a detailed description of known process techniques is omitted herein for the sake of brevity.
The functional blocks shown in the above structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.

Claims (13)

1. A method for analyzing the preference attribute of a call ticket is characterized by comprising the following steps:
acquiring a ticket to be processed, wherein the ticket to be processed is configured with a preferential attribute identification code;
and analyzing the discount attribute identification code according to a preset discount attribute analysis strategy to obtain the discount attribute met by the ticket to be processed.
2. The method of claim 1, further comprising:
determining the preferential attribute met by the ticket to be processed by utilizing the information associated with the ticket to be processed in the server;
marking the discount attribute met by the ticket to be processed to obtain a discount attribute identification code;
and configuring the preferential attribute identification code for the ticket to be processed.
3. The method of claim 1, wherein the offer attribute identification code includes at least one element,
one element indicates whether an offer attribute is satisfied or not, or one element indicates a subordinate type of an offer attribute.
4. The method of claim 1, further comprising:
acquiring a ticket, and judging whether the ticket has a preference;
and if the ticket has the preference, taking the ticket as the ticket to be processed.
5. The method of claim 2, wherein the marking the preferential attribute that the to-be-processed ticket satisfies to obtain a preferential attribute identification code comprises:
judging whether the ticket to be processed meets each preferential attribute;
generating a target identifier corresponding to the preferential attribute satisfied by the ticket to be processed;
and obtaining the preferential attribute identification code according to the target identification.
6. The method of claim 5, wherein the offer attribute resolution policy comprises a correspondence between the offer attribute and an identifier, and wherein the identifier comprises the target identifier.
7. A kind of ticket preferential attribute resolving device, characterized by that, including:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a ticket to be processed, and the ticket to be processed is configured with a preferential attribute identification code;
and the analysis module is used for analyzing the discount attribute identification code according to a preset discount attribute analysis strategy to obtain the discount attribute met by the ticket to be processed.
8. The apparatus of claim 7, further comprising:
the attribute determining module is used for determining the preferential attribute met by the ticket to be processed by utilizing the information associated with the ticket to be processed in the server;
the marking module is used for marking the discount attribute met by the ticket to be processed to obtain a discount attribute identification code;
and the configuration module is used for configuring the preferential attribute identification code for the ticket to be processed.
9. The apparatus of claim 7, wherein the offer attribute identification code includes at least one element,
one element indicates whether an offer attribute is satisfied or not, or one element indicates a subordinate type of an offer attribute.
10. The apparatus of claim 7, further comprising:
the sorting module is used for acquiring a ticket and judging whether the ticket has a preference; and if the ticket has the preference, the ticket is used as the ticket to be processed.
11. The apparatus of claim 8, wherein the tagging module is specifically configured to:
judging whether the ticket to be processed meets each preferential attribute;
generating a target identifier corresponding to the preferential attribute satisfied by the ticket to be processed;
and obtaining the preferential attribute identification code according to the target identification.
12. A device for analyzing the preference attribute of a call ticket, which is characterized by comprising a memory, a processor and a program which is stored on the memory and can run on the processor, wherein the processor realizes the method for analyzing the preference attribute of the call ticket according to any one of claims 1 to 6 when executing the program.
13. A storage medium having stored thereon a program which, when executed by a processor, implements a ticket preference attribute parsing method as recited in any one of claims 1 to 6.
CN201811520498.9A 2018-12-12 2018-12-12 Method, device, equipment and storage medium for analyzing preference attribute of call ticket Pending CN111311296A (en)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101110877A (en) * 2007-08-24 2008-01-23 中国网络通信集团公司 Method and system for implementing general charging
CN102098650A (en) * 2011-01-21 2011-06-15 中国联合网络通信集团有限公司 Content charging-based flow adaptive method and system
CN103167460A (en) * 2011-12-12 2013-06-19 中国移动通信集团河北有限公司 Dealing method and device of billing ticket
US20160055537A1 (en) * 2014-08-22 2016-02-25 Onavo Mobile Ltd. Techniques to target and communicate mobile offers
WO2016069986A1 (en) * 2014-10-30 2016-05-06 Cashoff Inc. System and method for electronically generating, providing and distributing saleable coupons
CN105813047A (en) * 2014-12-31 2016-07-27 中国移动通信集团吉林有限公司 Flow regulation and control method, device and system
CN106789120A (en) * 2016-12-12 2017-05-31 中兴通讯股份有限公司 A kind of charge on traffic method, system and control server
CN108460586A (en) * 2018-02-10 2018-08-28 深圳壹账通智能科技有限公司 A kind of amount of money preferential measure, device, terminal device and the storage medium of polymerization payment

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101110877A (en) * 2007-08-24 2008-01-23 中国网络通信集团公司 Method and system for implementing general charging
CN102098650A (en) * 2011-01-21 2011-06-15 中国联合网络通信集团有限公司 Content charging-based flow adaptive method and system
CN103167460A (en) * 2011-12-12 2013-06-19 中国移动通信集团河北有限公司 Dealing method and device of billing ticket
US20160055537A1 (en) * 2014-08-22 2016-02-25 Onavo Mobile Ltd. Techniques to target and communicate mobile offers
WO2016069986A1 (en) * 2014-10-30 2016-05-06 Cashoff Inc. System and method for electronically generating, providing and distributing saleable coupons
CN105813047A (en) * 2014-12-31 2016-07-27 中国移动通信集团吉林有限公司 Flow regulation and control method, device and system
CN106789120A (en) * 2016-12-12 2017-05-31 中兴通讯股份有限公司 A kind of charge on traffic method, system and control server
CN108460586A (en) * 2018-02-10 2018-08-28 深圳壹账通智能科技有限公司 A kind of amount of money preferential measure, device, terminal device and the storage medium of polymerization payment

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Application publication date: 20200619