CN110930202A - Elevator media terminal user portrait processing system based on 5G network - Google Patents
Elevator media terminal user portrait processing system based on 5G network Download PDFInfo
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Abstract
The invention discloses a 5G network-based elevator media terminal user portrait processing system which comprises a microcomputer and a user acquisition processing module connected in the microcomputer, wherein one side of the user acquisition processing module is connected with a data collection module, one side of the data collection module is connected with a data classification module, one side of the data classification module is connected with a user behavior label module, one side of the user behavior label module is connected with a storage module, one side of the storage module is connected with a user data acquisition unit, one side of the storage module is connected with a historical user acquisition unit, and one side of the historical user acquisition unit is connected with an execution unit. This kind of elevator media terminal user portrays processing system based on under 5G network simple structure, modern design can find crowd's hobby and dislike to do the useful thing of personnel, provide the thing that lets crowd's interest, the user portrays the structure, realizes the structure of user's label system, conveniently utilizes it.
Description
Technical Field
The invention relates to a system for processing a portrait of an elevator media terminal user under a 5G network, in particular to a system for processing a portrait of an elevator media terminal user under the 5G network, and belongs to the technical field of user portrait construction and application.
Background
The 5G network is a fifth generation mobile communication network, and the peak value theoretical transmission speed can reach 1GB per 8 seconds and is more than 10 times faster than that of the 4G network; for example, a 1G movie may be downloaded in less than 8 seconds. With the advent of 5G technology, the era of sharing 3D movies, games and Ultra High Definition (UHD) programs with intelligent terminals is moving to us, and currently, a plurality of countries around the world have competitively developed 5G network technology development, and china and the european union have invested a lot of funds for the development of 5G network technology, and the significance of user portrayal lies in being able to find the likes and dislikes of people, thereby being useful to people and providing things that people are interested in. Most importantly, the user of the portrait receives a profit, either of commercial interest or social value.
The existing portrait display effect of the user is not ideal, the user cannot be well known conveniently, the user cannot well know the likes and dislikes of the crowd, better information and products can not be transmitted conveniently to the crowd, the recommendation effect is influenced, better recommendation can not be performed to the crowd, and the use is influenced. Therefore, a system for processing the portrait of the elevator media terminal user based on the 5G network is provided for solving the problems.
Disclosure of Invention
The invention aims to solve the problems and provide a system for processing the portrait of the elevator media terminal user based on a 5G network.
The invention achieves the aim through the following technical scheme, and the elevator media terminal user portrait processing system based on the 5G network comprises a microcomputer and a user acquisition processing module connected in the microcomputer, wherein one side of the user acquisition processing module is connected with a data collection module, one side of the data collection module is connected with a data classification module, one side of the data classification module is connected with a user behavior label module, one side of the user behavior label module is connected with a storage module, one side of the storage module is connected with a user data acquisition unit, one side of the storage module is connected with a historical user acquisition unit, and one side of the historical user acquisition unit is connected with an execution unit.
Preferably, the microcomputer is a microcomputer in a 5G mobile lan, starts a history data container according to the storage request, and receives service data sent by the microcomputer through the 5G mobile lan through a preset container interface.
Preferably, the data information collected by the user collection processing module includes user behavior object information, table names, field names, views, relationships, primary keys and foreign keys related to user behavior log information; the user acquisition processing module acquires data such as user age, sex, height, weight, occupation, income, consumption ability, interests and the like, and intensively stores the collected user behavior data in the storage module.
Preferably, the data collection module is used for supplementing the user behavior data and the static data of the user, cleaning the user behavior data and the static data of the user in real time, removing redundant data, and storing the collected data in the storage module.
Preferably, the data classification module classifies the likes and dislikes of people to make things useful to people and provide things that interest people, and most importantly, people who obtain profits from the data classification module, whether business interests or social values, are connected with the established user behavior label module to establish a user label system.
Preferably, the user behavior label module comprises a label modeling module, an image prediction module and a label clustering module.
Preferably, the system comprises a user acquisition processing module, a data collection module, a data classification module, a storage module, a user data acquisition unit, a user behavior tag module, an execution unit and a historical user acquisition unit.
Preferably, the user behavior tag module performs data modeling, including using technologies such as machine learning to realize user behavior data modeling, and the model realizes active learning of user behavior data, performs user behavior judgment, and generates a user tag.
Preferably, the execution unit includes a processing unit and a pushing unit, the processing unit pushes behavior data of a user and data in user static data out through the pushing unit, and performs specific pushing on a specific user, so as to facilitate pushing of a message or a product, and facilitate use of the message or the product, and the data processed by the processing unit includes access times, access frequency, access dwell time, operation active time, information input, interactive operation and the like of the user for pushed content, such as paying attention, canceling attention, saving as a bookmark, adding a shopping cart, taking out the shopping cart, forming an order, canceling the order, paying payment, refunding and the like.
Preferably, the storage module is connected with the output processing unit of the execution unit, and the storage module is respectively connected with the tag modeling module, the image prediction module and the tag clustering module in the user behavior tag module.
The invention has the beneficial effects that:
the elevator media terminal user portrait processing system based on the 5G network is simple in structure and novel in design, people's likes and dislikes can be found, so that useful things are done for people, people are interested in the things, building of user portrait realizes building of a user label system, association relation is built with users more easily, user groups of target portrait are found, directional recommendation is conducted on the user groups, and information and products which can be concerned by the user groups are pushed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a schematic overall schematic of the present invention;
FIG. 2 is a diagram illustrating an exemplary embodiment of an execution unit.
In the figure: 1. the system comprises a microcomputer, 2, a user acquisition and processing module, 3, a data collection module, 4, a data classification module, 5, a storage module, 6, a user data acquisition unit, 7, a user behavior tag module, 701, a tag modeling module, 702, an image prediction module, 703, a tag clustering module, 8, a historical user acquisition unit, 9, an execution unit, 901, a processing unit, 902 and a pushing unit.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and 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 technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
Please refer to fig. 1-2, a 5G network-based elevator media terminal user portrait processing system comprises a microcomputer 1 and a user collecting and processing module 2 connected in the microcomputer 1, wherein one side of the user collecting and processing module 2 is connected with a data collecting module 3, one side of the data collecting module 3 is connected with a data classifying module 4, one side of the data classifying module 4 is connected with a user behavior label module 7, one side of the user behavior label module 7 is connected with a storage module 5, one side of the storage module 5 is connected with a user data acquiring unit 6, one side of the storage module 5 is connected with a historical user acquiring unit 8, and one side of the historical user acquiring unit 8 is connected with an executing unit 9.
The microcomputer 1 is a microcomputer 1 in a 5G mobile local area network, starts a historical data container according to the storage request, and receives service data sent by the microcomputer 1 through the 5G mobile local area network through a preset container interface.
The data information acquired by the user acquisition processing module 2 comprises user behavior object information, table names, field names, views, relationships, main keys and external keys related to user behavior log information; the user collecting and processing module 2 collects data of user's age, sex, height, weight, occupation, income, consumption ability, interests and the like, and stores the collected user behavior data in the storage module 5 in a centralized manner.
The data collection module 3 is used for supplementing the user behavior data and the static data of the user, cleaning the user behavior data and the static data of the user in real time, removing redundant data, and storing the collected data in the storage module 5.
The data classification module 4 classifies the likes and dislikes of people, so as to do useful things for people and provide interesting things for people, and most importantly, people who obtain profits from the data classification module 4, whether the profits are commercial benefits or social values, are connected with the established user behavior label module 7 and are used for establishing a user label system.
The user behavior tagging module 7 includes a tag modeling module 701, a sketch prediction module 702, and a tag clustering module 703.
The system comprises a user acquisition processing module 2, a data collection module 3, a data classification module 4, a storage module 5, a user data acquisition unit 6, a user behavior tag module 7, an execution unit 9 and a historical user acquisition unit 8.
The user behavior tag module 7 performs data modeling, including using technologies such as machine learning to realize user behavior data modeling, and the model realizes active learning of user behavior data, performs user behavior judgment, and generates a user tag.
Preferably, the execution unit 9 includes a processing unit 901 and a pushing unit 902, the processing unit 901 pushes out the behavior data of the user and the data in the user static data through the pushing unit 902, and performs specific pushing on a specific user, so as to facilitate pushing a message or a product, and facilitate use, the data processed by the processing unit 901 includes access times, access frequency, access dwell time, operation active time, information input, interaction operations, and the like of the user for pushed content, such as paying attention, canceling attention, saving as a bookmark, joining a shopping cart, taking out a shopping cart, forming an order, canceling an order, paying, refunding, and the like.
The storage module 5 is connected to the output processing unit 901 of the execution unit 9, and the storage module 5 is respectively connected to the tag modeling module 701, the portrait prediction module 702 and the tag clustering module 703 in the user behavior tag module 7.
When the elevator terminal advertisement system is used, electrical components appearing in the elevator terminal advertisement system are externally connected with a power supply and a control switch, firstly, data of elevator users are collected through the user collection processing module 2, static data (user registration information and the like) of the users also include behavior data (online behaviors such as mobile phone clicking, advertisement shielding feedback and the like) of the users, then the data are transmitted to the data classification module 4 through the data collection module 3, the category label system is customized according to the requirements of the elevator terminal advertisement system through the data classification module 4, and after the data collection is carried out, data cleaning is needed because the data possibly include some vacant or temporarily unused parts, the data should be cleaned before data mining, effective fields are reserved, then cross-terminal data integration is carried out, a uniform standard is established, and then the elevator terminal data acquisition unit 6, The user behavior tag module 7 acquires pre-existing data, integrates the existing data, establishes a clearer user system, stores the user system through the storage module 5, processes the user system through the execution unit 9, pushes the user system through the pushing unit 902, specifically pushes a specific user, and is convenient for pushing messages or products and using.
It is well within the skill of those in the art to implement and protect the present invention without undue experimentation and without undue experimentation that the present invention is directed to software and process improvements.
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 reference sign in a claim should not be construed as limiting the claim concerned.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A portrait processing system of elevator media terminal user based on 5G network is characterized in that: including microcomputer (1) and connect user collection processing module (2) in microcomputer (1), user collection processing module (2) one side is connected with data collection module (3), data collection module (3) one side is connected with data classification module (4), data classification module (4) one side is connected with user action label module (7), user action label module (7) one side is connected with storage module (5), storage module (5) one side is connected with user data acquisition unit (6), storage module (5) one side is connected with historical user and acquires unit (8), historical user acquires unit (8) one side and is connected with execution unit (9).
2. The elevator media terminal user portrait processing system based on 5G network of claim 1, characterized in that: the microcomputer (1) is a microcomputer (1) in a 5G mobile local area network, starts a historical data container according to the storage request, and receives service data sent by the microcomputer (1) through the 5G mobile local area network through a preset container interface.
3. The elevator media terminal user portrait processing system based on 5G network of claim 1, characterized in that: the data information acquired by the user acquisition processing module (2) comprises user behavior object information, table names, field names, views, relationships, main keys and external keys related to user behavior log information; the user collecting and processing module (2) collects data of user age, sex, height, weight, occupation, income, consumption ability, interests and the like, and stores the collected user behavior data in the storage module (5) in a centralized manner.
4. The elevator media terminal user portrait processing system based on 5G network of claim 1, characterized in that: the data collection module (3) is used for supplementing the user behavior data and the static data of the user, cleaning the user behavior data and the static data of the user in real time, removing redundant data, and storing the collected data in the storage module (5).
5. The elevator media terminal user portrait processing system based on 5G network of claim 1, characterized in that: the data classification module (4) classifies the likes and dislikes of people, so that the people can do useful things, people can be interested in the people, most importantly, people who obtain profits from the data classification module, whether the profits are commercial benefits or social values, and the data classification module (4) is connected with the established user behavior label module (7) and used for establishing a user label system.
6. The elevator media terminal user portrait processing system based on 5G network of claim 1, characterized in that: the user behavior tag module (7) comprises a tag modeling module (701), a portrait prediction module (702) and a tag clustering module (703).
7. The elevator media terminal user portrait processing system based on 5G network of claim 1, characterized in that: the system comprises a user acquisition processing module (2), a data collection module (3), a data classification module (4), a storage module (5), a user data acquisition unit (6), a user behavior tag module (7), an execution unit (9) and a historical user acquisition unit (8).
8. The elevator media terminal user portrait processing system based on 5G network of claim 1, characterized in that: the user behavior tag module (7) carries out data modeling, and comprises the steps of using technologies such as machine learning to realize user behavior data modeling, actively learning the user behavior data by the model, judging the user behavior and generating the user tag.
9. The elevator media terminal user portrait processing system based on 5G network of claim 1, characterized in that: the execution unit (9) comprises a processing unit (901) and a pushing unit (902), the processing unit (901) pushes the behavior data of the user and the data in the static data of the user out through the pushing unit (902), specific pushing is carried out on the specific user, messages or products can be pushed conveniently, and the processing unit (901) processes data, including the access times, access frequency, access stay time, operation active time, information input, interaction operation and the like of the user aiming at the pushed content, such as paying attention, canceling attention, saving as a bookmark, adding a shopping cart, taking out the shopping cart, forming an order, canceling the order, paying, refunding and the like.
10. The elevator media terminal user portrait processing system based on 5G network of claim 1, characterized in that: the storage module (5) is connected with the processing unit (901) at the execution unit (9), and the storage module (5) is respectively connected with the label modeling module (701), the portrait prediction module (702) and the label clustering module (703) in the user behavior label module (7).
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130047065A1 (en) * | 2011-08-16 | 2013-02-21 | Sangseok Lee | Display device and method for providing content using the same |
| CN106504099A (en) * | 2015-09-07 | 2017-03-15 | 国家计算机网络与信息安全管理中心 | A kind of system for building user's portrait |
| CN109978630A (en) * | 2019-04-02 | 2019-07-05 | 安徽筋斗云机器人科技股份有限公司 | A kind of Precision Marketing Method and system for establishing user's portrait based on big data |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130047065A1 (en) * | 2011-08-16 | 2013-02-21 | Sangseok Lee | Display device and method for providing content using the same |
| CN106504099A (en) * | 2015-09-07 | 2017-03-15 | 国家计算机网络与信息安全管理中心 | A kind of system for building user's portrait |
| CN109978630A (en) * | 2019-04-02 | 2019-07-05 | 安徽筋斗云机器人科技股份有限公司 | A kind of Precision Marketing Method and system for establishing user's portrait based on big data |
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