CN111415204B - Advertisement delivery system and method based on privacy number platform signaling and ticket - Google Patents
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Abstract
The invention belongs to the technical field of advertisement putting. An advertisement delivery system based on a privacy number platform signaling and a ticket comprises a privacy number platform, a big data analysis platform and an agent platform, wherein the privacy number platform and the big data analysis platform are respectively connected with the agent platform; the privacy number platform is used for collecting signaling and call bill data of the mobile user and sending the signaling and call bill data to the big data analysis platform, and the big data analysis platform establishes a 360-degree user portrait and a 360-degree region portrait for the mobile user; the agent platform acquires the user conversation privacy security protection service from the privacy number platform, outputs mobile user data to the privacy number platform, acquires valuable mobile user data from the big data analysis platform, and provides marketing suggestions and adjusts marketing schemes for the internet industry in the agent platform. The invention uses the privacy number platform to manage data from different sources, and combines the data to form a 360-degree user data model, thereby being beneficial to accurately delivering advertisements to specific users.
Description
Technical Field
The invention belongs to the technical field of advertisement putting, and particularly relates to an advertisement putting system and method based on privacy number platform signaling and a ticket.
Background
At present, the marketing method based on signaling and call bill in the industry has the following main defects: firstly, the signaling and the call ticket of the communication network are owned by a telecom operator, and the use right is not opened to the outside under the normal condition; secondly, the signaling and call ticket data flow accumulated by the telecom operator is too huge, and the data analysis of the signaling and call ticket data flow consumes a large amount of human, material and financial resources, so that the large-area popularization of the market is not facilitated; thirdly, a fault exists between the traditional telecommunication operator level and the internet industry, the data accumulated by the operator cannot be directly sunk to the internet industry, and a data platform business is needed to carry out the work. The above problems lead to the fact that advertisement placement users cannot accurately and specifically perform advertisement placement for specific users even in the big data era. Based on the strong data interactivity and the data transmission convenience of the currently-used privacy number platform and the Internet industry, the data re-analysis and reproduction of the internal data of the two platforms are important. Therefore, there is a need for an improved advertisement delivery system and method, which uses a privacy number platform to manage data from different sources and combine the data to form a 360-degree user data model, so as to facilitate advertisement delivery users to deliver advertisements to specific users accurately and specifically.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide an advertisement delivery system and method based on a privacy number platform signaling and a ticket, which use the privacy number platform to manage data from different sources, and combine the data to form a 360-degree user data model, thereby facilitating an advertisement delivery user to accurately and specifically deliver an advertisement to a specific user.
In order to solve the technical problems, the invention adopts the following technical scheme:
an advertisement delivery system based on a privacy number platform signaling and a ticket comprises a privacy number platform, a big data analysis platform and an agent platform, wherein the privacy number platform and the big data analysis platform are respectively connected with the agent platform; wherein:
the privacy number platform is used for collecting signaling and call ticket data of the mobile user, sending the signaling and call ticket data to the big data analysis platform, outputting the signaling and call ticket data of the mobile user to the big data analysis platform and providing conversation privacy protection;
the big data analysis platform receives behavior data generated by interaction of a mobile user and a mobile network, establishes a 360-degree user portrait for the mobile user, and simultaneously establishes a 360-degree region portrait of the region by taking a single mobile user as a minimum modeling unit; the big data analysis platform comprises a big data collection module, a user portrait analysis module and a region portrait analysis module;
the big data collection module is used for carrying out primary classification and analysis through signaling and ticket data input from the privacy number platform and forming corresponding signaling labels and ticket labels;
the user portrait analysis module is used for conducting secondary classification and analysis to form a data label of a single user by accumulating the labels transmitted by the big data collection module, and the data label of the single user is presented in the following form: the user position, the user access time, the user busy time period and the user leisure time period;
the region portrait analysis module is used for performing third classification and analysis to form a data label of a single region by collecting data transmitted by the user portrait analysis module, wherein the data label of the single region is presented by the following data: the method comprises the following steps of (1) regional latitude and longitude, regional activity, regional user activity time period and regional user leisure time period;
the agent platform is used for acquiring a user call privacy security protection service from the privacy number platform, outputting a large amount of mobile user data to the privacy number platform, acquiring valuable mobile user data from the big data analysis platform, and providing marketing suggestions and adjusting marketing schemes for the Internet industry in the agent platform.
Furthermore, the privacy number platform comprises a network layer, a network element layer and a service arrangement layer;
the network layer is positioned in the current network of an operator, and the session path plays roles of network access and relay;
the network element layer comprises encapsulation of functions in the process, the north direction is in butt joint with the current network of an operator, and the south direction is in butt joint with the service arrangement layer; the network element layer generates signaling and call bill data of a call and pushes the signaling and the call bill data to the service arrangement layer;
the service arrangement layer is in north-direction connection with the functional network element layer and is used for arranging, managing and scheduling services according to a network environment and loading, storing and backing up collected signaling and ticket data of the mobile user. There are mechanisms that include a primary core call mechanism,
further, the signaling data tag has: user location, timestamp; the ticket data label comprises: calling number, called number, starting time, ending time, call duration and service type.
Further, the agent platform comprises a drip, a beauty group, a 58 city and a chain owner.
The invention also provides an advertisement putting method based on the privacy number platform signaling and the ticket, which comprises the following steps:
s1, the privacy number platform is arranged in different areas and provides conversation privacy security protection service for the agent platform; the privacy number platform comprises a network layer, a network element layer and a service arrangement layer; the network layer establishes a call speech path between the calling number and the called number and performs connection; the network element layer generates signaling and call bill data of a call and pushes the signaling and the call bill data to the service arrangement layer; the service arrangement layer loads, stores and backups signaling and ticket data;
s2, the agent platform sends the generated mobile user data to the privacy number platform;
s3, the privacy number platform sends the collected signaling and the call bill data to the big data analysis platform,
s4, the big data collection module collects signaling and ticket data, performs primary classification and analysis, forms a corresponding signaling label and a corresponding ticket label, and sends the signaling label and the ticket label to the user portrait analysis module;
s5, the user portrait analysis module carries out secondary classification and analysis to form a data label of a single user by accumulating labels transmitted by the big data collection module, and builds a user portrait of 360 degrees according to the data label of the single user;
s6, the region portrait analysis module collects data transmitted by the user portrait analysis module, carries out third classification and analysis to form a data label of a single region, and constructs a region portrait of 360 degrees according to the data label of the single region;
s7, the big data analysis platform outputs valuable mobile user data to the agent platform,
and S8, the agent platform acquires valuable mobile user data from the big data analysis platform, and provides marketing suggestions and adjusts marketing schemes for the Internet industry in the platform, so that advertisement putting is completed.
Further, in step S4, the big data collection module collects signaling and ticket data, and the specific method for performing primary classification and analysis includes: loading the signaling and the call ticket data into a big data collection module, combining historical data stored in the big data collection module, and classifying and analyzing the signaling and the call ticket data based on an adoop open source mapping/simplification calculation framework to obtain a corresponding signaling label and a corresponding call ticket label.
Compared with the prior art, the invention has the following beneficial effects:
the invention can improve the utilization rate of the signaling ticket of the mobile user, reduce the data change difficulty of the mobile user in the network and the advertisement putting cost, and the advertisement putting method of the invention takes the signaling and the ticket data accumulated by a privacy number platform as the access point, establishes a 360-degree user portrait for the user by collecting the behavior data generated by the interaction of the user and the mobile network, and simultaneously establishes a 360-degree regional portrait of the region by taking a single user as the minimum modeling unit.
Drawings
FIG. 1 is a schematic diagram of a system architecture of an advertisement delivery system based on a privacy number platform signaling and a ticket;
fig. 2 is a flowchart of an advertisement delivery method based on privacy number platform signaling and ticket according to the present invention.
Wherein, labeled in the figures: 1-privacy number platform; 2-big data analysis platform; 3-a proxy platform; 4-big data collection module; 5-a user portrait analysis module; 6-geographic portrait analysis module; 7-network layer; 8-network element layer; 9-service arrangement layer.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
It will be understood that the terms "comprises" and "comprising," and any variations thereof, as used herein, 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.
Referring to fig. 1, an advertisement delivery system based on a privacy number platform 1 signaling and a ticket comprises a privacy number platform 1, a big data analysis platform 2 and an agent platform 3, wherein the privacy number platform 1 and the big data analysis platform 2 are respectively connected with the agent platform 3; wherein:
the privacy number platform 1 is used for collecting signaling and call ticket data of the mobile user, sending the signaling and call ticket data to the big data analysis platform 2, outputting the signaling and call ticket data of the mobile user to the big data analysis platform 2 and providing conversation privacy protection; the privacy number utilizes a virtual middle number technology, provides a voice incoming and outgoing function for a user, and meanwhile, the numbers of both parties of a call are hidden and protected, so that information is effectively prevented from being grabbed, the privacy of the user is protected, the marketing process can be controlled, the information of the user is protected, and skip order transaction and the like are prevented.
The big data analysis platform 2 receives behavior data generated by interaction of a mobile user and a mobile network, establishes a 360-degree user portrait for the mobile user, and simultaneously establishes a 360-degree region portrait of the region by taking a single mobile user as a minimum modeling unit; the big data analysis platform 2 comprises a big data collection module 4, a user portrait analysis module 5 and a region portrait analysis module 6;
the big data collection module 4 is used for carrying out primary classification and analysis through the signaling and the call ticket data input from the privacy number platform 1 and forming a corresponding signaling label and a corresponding call ticket label; the signaling data label comprises: user location, timestamp; the ticket data label comprises: calling number, called number, starting time, terminating time, call duration and service type;
the user portrait analysis module 5 is configured to perform a second classification and analysis on the tags transmitted by the big data collection module 4 to form data tags of individual users, where the data tags of the individual users are presented in the following form: the method comprises the following steps of (1) user position, user access time, user busy hour time period and user leisure time period;
the region sketch analysis module 6 is configured to perform third classification and analysis on the data collected by the user sketch analysis module 5 to form a data label of a single region, where the data label of the single region is represented by the following data: the method comprises the following steps of (1) regional latitude and longitude, regional activity, regional user activity time period and regional user leisure time period;
the agent platform 3 is used for acquiring a user conversation privacy security protection service from the privacy number platform 1, outputting a large amount of mobile user data to the privacy number platform 1, acquiring valuable mobile user data from the big data analysis platform 2, and providing marketing suggestions and adjusting marketing schemes for the internet industry in the agent platform 3. The agent platform 3 refers to internet industry users and includes but is not limited to dripping, beauty clique, 58 same city, chain family and the like, the agent platform 3 is in butt joint with the privacy number platform 1 and the big data analysis platform 2, and the agent platform 3 has three characteristics. The method is characterized in that the security protection capability of the user conversation privacy can be obtained from the privacy number platform 1, and the privacy security of the client mobile data in the Internet industry is guaranteed; secondly, a large amount of mobile user data can be output to the privacy number platform 1, and the data has the characteristics of large cardinality, no analysis and no direct use value; the third characteristic is that valuable mobile user data can be obtained from the big data analysis platform 2, thereby providing marketing suggestions and adjusting marketing schemes for the internet industry in the platform, and effectively reducing cost and improving efficiency.
The privacy number platform 1 comprises a network layer 7, a network element layer 8 and a service arrangement layer 9;
the network layer 7 is positioned in the current network of an operator, and the conversation path plays roles of network access and relay; the operator can be any one of mobile, telecommunication or Unicom operator;
the network element layer 8 comprises encapsulation of functions in the process, the north direction is in butt joint with the current network of an operator, and the south direction is in butt joint with the service arrangement layer 9; the network element layer 8 generates signaling and call bill data of the call and pushes the signaling and call bill data to the service arranging layer 9;
the service arrangement layer 9 is connected with the functional network element layer 8 in the north direction and is used for arranging, managing and scheduling services according to the network environment and loading, storing and backing up the collected signaling and ticket data of the mobile user.
Referring to fig. 2, the present invention further provides an advertisement delivery method based on the privacy number platform 1 signaling and the ticket, and the method includes the following steps:
s1, the privacy number platform 1 is arranged in different areas and provides conversation privacy security protection service for the agent platform 3; the privacy number platform 1 comprises a network layer 7, a network element layer 8 and a service arrangement layer 9; the network layer 7 establishes a call speech path between the calling number and the called number and performs connection; the network element layer 8 generates signaling and call bill data of the call and pushes the signaling and call bill data to the service arranging layer 9; the service arrangement layer 9 loads, stores and backups signaling and ticket data;
s2, the agent platform 3 sends the generated mobile user data to the privacy number platform 1;
s3, the privacy number platform 1 sends the collected signaling and the collected ticket data to the big data analysis platform 2,
s4, the big data collecting module 4 collects signaling and ticket data, performs primary classification and analysis, forms a corresponding signaling label and a corresponding ticket label, and sends the signaling label and the ticket label to the user portrait analyzing module 5; the specific method comprises the following steps: loading signaling and call ticket data into a big data collection module 4, combining historical data stored in the big data collection module 4, and classifying and analyzing the signaling and call ticket data based on an adoop open source mapping/simplification calculation framework to obtain a corresponding signaling label and a corresponding call ticket label;
s5, the user portrait analysis module 5 carries out secondary classification and analysis to form a data label of a single user by accumulating labels transmitted by the big data collection module 4, and builds a user portrait of 360 degrees according to the data label of the single user;
s6, the region portrait analysis module 6 collects data transmitted by the user portrait analysis module 5, carries out third classification and analysis to form a data label of a single region, and constructs a region portrait of 360 degrees according to the data label of the single region;
s7, the big data analysis platform 2 outputs valuable mobile user data to the agent platform 3,
and S8, the agent platform 3 acquires valuable mobile user data from the big data analysis platform 2, and provides marketing suggestions and adjusts marketing schemes for the Internet industry in the platform, so that advertisement putting is completed.
The above description is intended to describe in detail the preferred embodiments of the present invention, but the embodiments are not intended to limit the scope of the claims of the present invention, and all equivalent changes and modifications made within the technical spirit of the present invention should fall within the scope of the claims of the present invention.
Claims (6)
1. An advertisement putting system based on privacy number platform signaling and ticket is characterized in that: the system comprises a privacy number platform, a big data analysis platform and an agent platform, wherein the privacy number platform and the big data analysis platform are respectively connected with the agent platform; wherein:
the privacy number platform is used for collecting signaling and call ticket data of the mobile user, sending the signaling and call ticket data to the big data analysis platform, outputting the signaling and call ticket data of the mobile user to the big data analysis platform and providing conversation privacy protection;
the big data analysis platform receives behavior data generated by interaction of a mobile user and a mobile network, establishes a 360-degree user portrait for the mobile user, and simultaneously establishes a 360-degree regional portrait of a region where the mobile user is located by taking a single mobile user as a minimum modeling unit; the big data analysis platform comprises a big data collection module, a user portrait analysis module and a region portrait analysis module;
the big data collection module is used for carrying out primary classification and analysis through signaling and ticket data input from the privacy number platform and forming corresponding signaling labels and ticket labels;
the user portrait analysis module is used for conducting secondary classification and analysis to form a data label of a single user by accumulating the labels transmitted by the big data collection module, and the data label of the single user is presented in the following form: the user position, the user access time, the user busy time period and the user leisure time period;
the region portrait analysis module is used for performing third classification and analysis to form a data label of a single region by collecting data transmitted by the user portrait analysis module, wherein the data label of the single region is presented by the following data: regional latitude and longitude, regional activity, regional user active time period and regional user leisure time period;
the agent platform is used for acquiring a user call privacy security protection service from the privacy number platform, outputting a large amount of mobile user data to the privacy number platform, acquiring valuable mobile user data from the big data analysis platform, and providing marketing suggestions and adjusting marketing schemes for the Internet industry in the agent platform.
2. The advertisement delivery system based on the privacy number platform signaling and the ticket according to claim 1, characterized in that: the privacy number platform comprises a network layer, a network element layer and a service arrangement layer;
the network layer is positioned in the current network of an operator, and the conversation path plays roles of network access and relay;
the network element layer comprises encapsulation of functions in the process, the north direction is in butt joint with the current network of an operator, and the south direction is in butt joint with the service arrangement layer; the network element layer generates signaling and call bill data of a call and pushes the signaling and call bill data to the service arranging layer;
the service arrangement layer is in north-direction connection with the functional network element layer and is used for arranging, managing and scheduling services according to a network environment and loading, storing and backing up collected signaling and ticket data of the mobile user.
3. The advertisement delivery system based on the privacy number platform signaling and the ticket as claimed in claim 1, characterized in that: the signaling data label is as follows: user location, timestamp; the ticket data label comprises: calling number, called number, starting time, ending time, call duration and service type.
4. The advertisement delivery system based on the privacy number platform signaling and the ticket according to claim 1, characterized in that: the agent platform comprises dripping, beauty groups, 58 city sharing and chain owners.
5. The advertisement putting method based on the platform signaling and the ticket of the privacy number according to any one of claims 1 to 4, characterized by comprising the following steps:
s1, the privacy number platform is arranged in different areas and provides conversation privacy security protection service for the agent platform; the privacy number platform comprises a network layer, a network element layer and a service arrangement layer; the network layer establishes a call speech path between the calling number and the called number and performs connection; the network element layer generates signaling and call bill data of a call and pushes the signaling and call bill data to the service arranging layer; the service arrangement layer loads, stores and backups signaling and ticket data;
s2, the agent platform sends the generated mobile user data to the privacy number platform;
s3, the privacy number platform sends the collected signaling and the call bill data to the big data analysis platform,
s4, the big data collection module collects signaling and ticket data, performs primary classification and analysis, forms a corresponding signaling label and a corresponding ticket label, and sends the signaling label and the ticket label to the user portrait analysis module;
s5, the user portrait analysis module carries out secondary classification and analysis to form a data label of a single user by accumulating labels transmitted by the big data collection module, and builds a user portrait of 360 degrees according to the data label of the single user;
s6, the region portrait analysis module collects data transmitted by the user portrait analysis module, carries out third classification and analysis to form a data label of a single region, and constructs a region portrait of 360 degrees according to the data label of the single region;
s7, the big data analysis platform outputs valuable mobile user data to the agent platform,
and S8, the agent platform acquires valuable mobile user data from the big data analysis platform, and provides marketing suggestions and adjusts marketing schemes for the Internet industry in the platform, so that advertisement putting is completed.
6. The method for advertising based on the privacy number platform signaling and the ticket as claimed in claim 5, wherein in step S4, the big data collection module collects the signaling and ticket data, and the specific method for performing the primary classification and analysis comprises: and loading the signaling and the call ticket data into a big data collection module, combining historical data stored in the big data collection module, and classifying and analyzing the signaling and the call ticket data based on an adoop open source mapping/simplification calculation framework to obtain a corresponding signaling label and a corresponding call ticket label.
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| CN110728538B (en) * | 2019-09-29 | 2022-06-24 | 杭州联汇科技股份有限公司 | Advertisement arrangement method based on following library and attribute library |
| CN112465317A (en) * | 2020-11-16 | 2021-03-09 | 广东电网有限责任公司 | Cadre portrait information analysis system based on big data |
| CN115297444B (en) * | 2022-09-13 | 2023-10-20 | 广西东信易通科技有限公司 | Message collection method and system based on 5G network and security privacy number |
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