CN114510639A - Smart city personal customization recommendation platform and method based on big data - Google Patents
Smart city personal customization recommendation platform and method based on big data Download PDFInfo
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Abstract
The invention discloses a personal customization recommendation platform and method based on big data for smart cities, and relates to the technical field of smart cities. The problem that the traditional software platform cannot perform personalized customized recommendation according to personal interests, hobbies, ages and sexes, a business platform cannot meet all-around requirements of users, economic benefits are reduced, and the users and merchants cannot perform data interaction, so that inaccurate recommendation is caused is solved. According to the personal customized recommendation platform and method based on big data for the smart city, the intelligent mobile terminal provides all-around requirements of users for the business platform, personalized information data are directly provided for the users, a strict closed-loop decision flow is really formed from information analysis at different stages of the life cycle of a product and effectiveness feedback analysis after decision improvement, the personalized all-around requirements are provided for the user platform, and all channels are collaboratively complemented and kept consistent to transmit information to the users and the business platform.
Description
Technical Field
The invention relates to the technical field of smart cities, in particular to a personal customization recommendation platform and method based on big data for a smart city.
Background
The smart city is a new theory and a new mode for promoting the intellectualization of city planning, construction, management and service by applying new generation information integration technologies such as internet of things, cloud computing, big data, space geographic information integration and the like. Because customers have different ages and different individual habits, it is difficult to ensure that each customer can timely and accurately acquire interesting information, most software platforms on the market still have the following problems:
1. the traditional software platform cannot perform personalized customized recommendation according to personal interests, hobbies, ages and sexes, the commercial platform cannot meet the all-around requirements of users, economic benefits are reduced, and the users and merchants cannot perform data interaction, so that the situation of inaccurate recommendation is caused;
2. the traditional software platform usually adopts a mode of front-end data acquisition and mutual data sharing among the software platforms, and cannot rely on big data calculation, so that the data quality is not high, the quality of recommended information cannot be guaranteed by analyzing low-quality data, and the attraction to users is influenced.
Disclosure of Invention
The invention aims to provide a big data-based personal customized recommendation platform and a big data-based personal customized recommendation method for a smart city, wherein an intelligent mobile terminal provides all-around requirements of a user for a business platform, provides personalized information data for the user directly, and really forms a strict closed-loop decision flow from information analysis at different stages of a product life cycle and result feedback analysis after decision improvement, so that all-around requirements of the user platform are provided, and all channels are cooperatively complemented and kept consistent to transmit information for the user and the business platform, so that the problems in the background art are solved.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides a smart city is with individual customization recommendation platform based on big data, including exclusive cloud platform, the high in the clouds database, mobile communication network and intelligent mobile terminal, exclusive cloud platform carries out signal transmission with intelligent mobile terminal through mobile communication network and is connected, the high in the clouds database includes historical database and real-time database, historical database carries out data interaction through data signal and real-time database, the high in the clouds database carries out data interaction through data signal and exclusive cloud platform, the high in the clouds database, mobile communication network and intelligent mobile terminal constitute individual customization recommendation system, individual customization recommendation system includes front end intelligence recommendation module and backstage data management module.
Furthermore, the output end of the front-end intelligent recommendation module is electrically connected with the customization module, the user management module, the data matching module, the local storage module, the marketing management module, the ordering module and the payment module respectively, and the output end of the background data management module is electrically connected with the database management module, the data interaction module, the data screening and extracting module, the data quality management module, the foreground user evaluation module, the foreground marketing evaluation module and the payment safety management module respectively.
Furthermore, the user management module performs data interaction with a foreground user evaluation module through signals, the marketing management module performs data interaction with the foreground marketing evaluation module through signals, the payment safety management module performs data interaction with the ordering module and the payment module through signals, the cloud database performs data interaction with the database management module and the data interaction module through signals, and the data matching module performs data interaction with the data screening and extracting module and the data quality management module through signals.
Further, the customization module includes the data acquisition unit, data administration unit, data foundation unit and data security unit, the data acquisition unit includes the user side collection, server acquisition, system acquisition and third party channel collection, the data administration unit includes data extraction, data washing, data conversion, data loading, data mapping, metadata management and data quality control, the data foundation unit includes static data, dynamic data and data synchronization, the data security unit includes the safety audit, exclusive platform and operation and maintenance management, the data acquisition unit carries out front end data acquisition, the data administration unit carries out data administration for the data acquisition unit, the data foundation unit provides the data basis for the customization module, data security unit guarantees data transmission safety.
Furthermore, the historical database and the real-time database form a cloud data system architecture, the cloud data system architecture comprises an interface layer, a realization layer and a model layer, the interface layer comprises data import, data query, metadata and data subscription, the realization layer comprises a data import engine, a query analysis engine and a data storage engine, the model layer comprises an event model, a user model and a content model, the event model comprises a browsing function, a time function, a watching function and a like function, the user model comprises an account function and a role function, and the content model comprises videos, characters, recommendations and histories.
Furthermore, the concrete problems of data are solved through the collocation and combination of the interface layers, the data are integrated after conclusion and summary, a general data warehouse is formed aiming at user behavior data, the formed mode realizes self-adaptive adjustment to a certain degree, the layer realizes the importing, analysis and storage of the data, the real-time data storage and query meet the application requirements, any structured data are supported, the model layer provides a multi-type support foundation for multi-scene application, various models form semi-autonomous subsystems through a mode of independent or mutual contact action, the function modules are independently designed and innovated, the common design rules are observed at the same time, and certain uniformity is kept mutually.
Further, the user side gathers including cell-phone APP, applet, recreation and bullet window, and the server is gathered including high in the clouds server and backend server, and the data acquisition unit has the collection ability of multiple data source concurrently, realizes that the whole end data asset is accumulated, and visual many kinds of modes of burying a little satisfy the collection needs entirely, for the customization module provides powerful data and supports, the customization module integrates multiple data source, continuously accumulates available, useful, practical data asset.
Furthermore, the marketing management module is combined with the data matching module to provide a unified user system, provide a service analysis scene and a marketing scene, realize service digital operation and growth, realize unified management of data assets based on unified metadata management, support continuous value increment of the data assets, and expand the meta-model according to service requirements.
Furthermore, the intelligent mobile terminal is internally and respectively provided with functions of user login, entertainment space, video browsing, character browsing, product recommendation, logistics navigation, comment navigation and the like, so that all-around requirements of the user are provided for the business platform, personalized all-around requirements are provided for the user platform, and all channels are cooperated and complemented and keep consistent information transmission for the user and the business platform.
The invention provides another technical scheme, and a recommendation method of a personal customized recommendation platform based on big data for a smart city, which comprises the following steps:
the method comprises the following steps: starting the intelligent mobile terminal, managing personal information, shopping requirements and various interests of a user through a user management module, performing unified management, and establishing a user file;
step two: the customization module sequentially performs data acquisition, data development and data operation and maintenance, constructs data modeling, and the data quality management module ensures data integrity, effectiveness, timeliness, consistency, accuracy and uniqueness;
step three: the intelligent mobile terminal receives the user behavior data and provides personalized data display for the user, and the marketing management module provides matched marketing products for the user according to the information, shopping requirements and various interests of the user.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the personal customized recommendation platform and method based on big data for the smart city, the intelligent mobile terminal provides all-around requirements of users for the business platform, personalized information data are directly provided for the users, a strict closed-loop decision flow is really formed from information analysis at different stages of the life cycle of a product and result feedback analysis after decision improvement, the personalized all-around requirements are provided for the user platform, and all channels are cooperatively complemented and kept consistent to transmit information to the users and the business platform.
2. The invention provides a big data-based personal customization recommendation platform and a big data-based personal customization recommendation method for smart cities, wherein a marketing management module is combined with a data matching module to provide a unified user system, provide a service analysis scene and a marketing scene, realize service digital operation and growth, realize unified management of data assets based on unified metadata management, support continuous value increment of the data assets, expand a meta-model according to service needs, meet various analysis requirements of users, have low use threshold, do not need to depend on professionals to know, have various professional analysis and prediction, have the acquisition capacity of various data sources, realize full-end data asset accumulation, meet acquisition needs in various ways of visual full-buried points and provide strong data support for a customization module.
3. According to the big data-based personal customization recommendation platform and method for the smart city, the customization module integrates multiple data sources, continuously accumulates available, useful and practical data assets, is compatible with cloud end and localized deployment, has a full-open platform interface and a wide application range, supports multi-source data acquisition and multi-dimensional management, provides analysis based on metadata, influences the analysis, rapidly locates data, tracks metadata change and is more accurate in customization recommendation.
4. According to the personal customized recommendation platform and method based on big data for the smart city, the specific problem of the data is solved through the collocation and combination of the interface layers, the data is integrated after induction and summarization, a general data warehouse is formed according to user behavior data, the formed mode realizes self-adaptive adjustment to a certain extent, the layer is realized to import, analyze and store the data, the real-time data storage and query are realized, the application requirements are met, any structured data is supported, the data quality management module guarantees the integrity, the validity, the timeliness, the consistency, the accuracy and the uniqueness of the data, the functional modules are independently designed and innovated, common design rules are observed at the same time, and certain unification is kept mutually.
Drawings
FIG. 1 is an overall system topology of the present invention;
FIG. 2 is a block diagram of a personal customized recommendation system of the present invention;
FIG. 3 is a block diagram of a custom module unit of the present invention;
FIG. 4 is a diagram of a cloud data architecture according to the present invention;
FIG. 5 is a functional diagram of an intelligent mobile terminal according to the present invention;
FIG. 6 is an overall system flow diagram of the present invention.
In the figure: 1. a proprietary cloud platform; 2. a cloud database; 21. a history database; 22. a real-time database; 3. a mobile communication network; 4. an intelligent mobile terminal; 5. a personal customization recommendation system; 51. a front-end intelligent recommendation module; 511. customizing a module; 512. a user management module; 513. a data matching module; 514. a local storage module; 515. a marketing management module; 516. a ordering module; 517. a payment module; 52. a background data management module; 521. a database management module; 522. a data interaction module; 523. a data screening and extracting module; 524. a data quality management module; 525. a foreground user evaluation module; 526. a foreground marketing evaluation module; 527. and a payment security management module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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.
Referring to fig. 1, a personal customized recommendation platform based on big data for a smart city includes an exclusive cloud platform 1, a cloud database 2, a mobile communication network 3 and a smart mobile terminal 4, the exclusive cloud platform 1 is in signal transmission connection with the smart mobile terminal 4 through the mobile communication network 3, the cloud database 2 includes a historical database 21 and a real-time database 22, the historical database 21 is in data interaction with the real-time database 22 through data signals, the cloud database 2 is in data interaction with the exclusive cloud platform 1 through data signals, the smart mobile terminal 4 is provided with functions of user login, entertainment space, video browsing, character browsing, product recommendation, logistics navigation, comment navigation and the like, so as to provide all-around requirements for a business platform, and provide personalized information data for a user directly, such as category research, brand monitoring and the like, The functions of product analysis, marketing effect evaluation and the like really form a strict closed-loop decision flow from information analysis at different stages of the life cycle of the product and result feedback analysis after decision improvement, provide personalized all-around requirements for a user platform, and transmit information to the user and a business platform in a coordinated and complementary way and in a consistent way among channels;
referring to fig. 2, the dedicated cloud platform 1, the cloud database 2, the mobile communication network 3 and the smart mobile terminal 4 form a personal customization recommendation system 5, the personal customization recommendation system 5 includes a front-end smart recommendation module 51 and a back-end data management module 52, an output end of the front-end smart recommendation module 51 is electrically connected to the customization module 511, the user management module 512, the data matching module 513, the local storage module 514, the marketing management module 515, the ordering module 516 and the payment module 517 respectively, an output end of the back-end data management module 52 is electrically connected to the database management module 521, the data interaction module 522, the data screening and extracting module 523, the data quality management module 524, the front-end user evaluation module 525, the front-end marketing evaluation module 526 and the payment security management module 527 respectively, the user management module 512 performs data interaction with the front-end user evaluation module 525 through signals, the marketing management module 515 performs data interaction with a foreground marketing evaluation module 526 through signals, the payment security management module 527 performs data interaction with a placing module 516 and a payment module 517 through signals, the cloud database 2 performs data interaction with a database management module 521 and a data interaction module 522 through signals, the data matching module 513 performs data interaction with a data screening and extracting module 523 and a data quality management module 524 through signals, the marketing management module 515 provides a unified user system in combination with the data matching module 513, provides a service analysis scene and a marketing scene, realizes service digital operation and growth, realizes unified management of data assets based on unified metadata management, supports continuous value increment of the data assets, expands a meta-model according to service needs, meets various requirements of user analysis, has low use threshold and does not need to be known by professionals, the cloud database 2 provides a stable and reliable data platform, processes mass data and greatly reduces hardware cost;
referring to fig. 3, the customization module 511 includes a data acquisition unit, a data management unit, a data base unit and a data security unit, the data acquisition unit includes a user side acquisition unit, a server acquisition unit, a system acquisition unit and a third party channel acquisition unit, the user side acquisition unit includes a mobile phone APP, a small program, a game and a popup window, the server acquisition unit includes a cloud server and a background server, the data acquisition unit has the acquisition capability of multiple data sources, the data asset accumulation of all ends is realized, the acquisition requirements are met in multiple visual full-buried-point modes, a powerful data support is provided for the customization module 511, the customization module 511 integrates multiple data sources, the data assets which are available, useful and practical are continuously accumulated, the data management unit includes data extraction, data cleaning, data conversion, data loading, data mapping, metadata management and data quality monitoring, the data base unit includes static data, The dynamic data and the data are synchronous, the data security unit comprises security audit, an exclusive platform and operation and maintenance management, the data acquisition unit is used for carrying out front-end data acquisition, the data management unit is used for carrying out data management on the data acquisition unit, the data base unit is used for providing a data base for the customization module 511, the data security unit is used for ensuring the data transmission security, the cloud end and the localization deployment are compatible, the platform interface is open at all ends, the application range is wide, the multi-source data acquisition and the multi-dimensional management are supported, analysis, influence analysis, quick positioning data and tracking of metadata change are provided based on the metadata, and the customization recommendation is more accurate;
referring to fig. 4, the history database 21 and the real-time database 22 form a cloud data architecture, the cloud data architecture is composed of an interface layer, a realization layer and a model layer, the interface layer includes data import, data query, metadata and data subscription, the realization layer includes a data import engine, a query analysis engine and a data storage engine, the model layer includes an event model, a user model and a content model, the event model includes a browsing function, a time function, a viewing function and a like function, the user model includes an account function and a role function, the content model includes video, text, recommendation and history, concrete problems of data are solved through matching and combining of the interface layer, after conclusion, general data warehouse is formed aiming at user behavior data, and the formed mode realizes adaptive adjustment to a certain degree, the realization layer realizes import of data, The system comprises a plurality of functional modules, a plurality of application layers, a plurality of model layers and a plurality of model layers, wherein the functional modules are respectively and independently designed and innovated, and simultaneously follow common design rules and mutually keep certain unity.
Referring to fig. 5, a recommendation method for a big data-based personal customized recommendation platform for a smart city includes the following steps:
the method comprises the following steps: the intelligent mobile terminal 4 is started, personal information, shopping requirements and various interests and hobbies of the user are managed through the user management module 512, unified management is carried out, and a user file is established;
step two: the customization module 511 sequentially performs data acquisition, data development and data operation and maintenance, constructs data modeling, and the data quality management module 524 ensures data integrity, effectiveness, timeliness, consistency, accuracy and uniqueness;
step three: the intelligent mobile terminal 4 receives the user behavior data and provides personalized data display for the user, and the marketing management module 515 provides matched marketing products for the user according to the information, shopping demands and various interests of the user.
In summary, in the big data-based personal customized recommendation platform and method for smart city, the smart mobile terminal 4 provides all-around requirements of users for the business platform, provides personalized information data for the users directly, really forms a strict closed-loop decision flow from information analysis at different stages of the product life cycle and result feedback analysis after decision improvement, provides personalized all-around requirements for the user platform, collaboratively complements and keeps consistent among channels to transmit information for the users and the business platform, the marketing management module 515 provides a unified user system in combination with the data matching module 513 to provide a business analysis scene and a marketing scene, realizes business digital operation and growth, realizes unified management of data assets based on unified metadata management, supports continuous value increment of the data assets, extends the meta model according to business needs, the system meets various analysis requirements of users, has low use threshold, does not need to depend on professional personnel, has various professional analysis and prediction, has the collection capacity of various data sources, realizes the accumulation of all-end data assets, meets the collection requirements in various visual full-buried point modes, provides strong data support for the customization module 511, integrates various data sources, continuously accumulates available, useful and practical data assets, is compatible with cloud end and local deployment, has a platform interface with open all ends, has wide use range, supports multi-source data collection, carries out multi-dimensional management, provides analysis based on metadata, influences analysis, fast positioning data, tracks metadata change, and is more accurate in customization recommendation, solves the specific problems of data through the collocation and combination of an interface layer, integrates after the data is integrated, and forms a general data warehouse aiming at user behavior data, the formed mode realizes self-adaptive adjustment to a certain degree, realizes layer introduction, analysis and storage of data, real-time data storage and query, meets application requirements, supports any structured data, ensures data integrity, effectiveness, timeliness, consistency, accuracy and uniqueness by the data quality management module 524, and ensures that the functional modules are independently designed and innovated, and simultaneously obey common design rules and mutually keep certain uniformity.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (10)
1. The utility model provides a smart city is with individual customization recommendation platform based on big data, includes exclusive cloud platform (1), high in the clouds database (2), mobile communication network (3) and intelligent Mobile terminal (4), its characterized in that: the exclusive cloud platform (1) is connected with the intelligent mobile terminal (4) in a signal transmission mode through the mobile communication network (3), the cloud database (2) comprises a historical database (21) and a real-time database (22), the historical database (21) is connected with the real-time database (22) in a data signal mode in a data interaction mode, the cloud database (2) is connected with the exclusive cloud platform (1) in a data interaction mode through the data signal, the exclusive cloud platform (1), the cloud database (2), the mobile communication network (3) and the intelligent mobile terminal (4) form the personal customization recommendation system (5), and the personal customization recommendation system (5) comprises a front-end intelligent recommendation module (51) and a background data management module (52).
2. The smart city big data based personal customized recommendation platform as claimed in claim 1, wherein: the output end of the front-end intelligent recommendation module (51) is respectively electrically connected with the customization module (511), the user management module (512), the data matching module (513), the local storage module (514), the marketing management module (515), the ordering module (516) and the payment module (517), and the output end of the background data management module (52) is respectively electrically connected with the database management module (521), the data interaction module (522), the data screening and extracting module (523), the data quality management module (524), the foreground user evaluation module (525), the foreground marketing evaluation module (526) and the payment security management module (527).
3. The smart city big data based personal customized recommendation platform as claimed in claim 2, wherein: the system comprises a user management module (512), a foreground user evaluation module (525), a marketing management module (515), a payment security management module (527), a ordering module (516) and a payment module (517), a cloud database (2), a database management module (521) and a data interaction module (522), and a data matching module (513), wherein the user management module (512) performs data interaction with the foreground user evaluation module (525) through signals, the marketing management module (515) performs data interaction with the foreground marketing evaluation module (526) through signals, the payment security management module (527) performs data interaction with the ordering module (516) and the payment module (517) through signals, the cloud database performs data interaction with the database management module (521) and the data interaction module (522), and the data matching module (513) performs data interaction with a data screening and extracting module (523) and a data quality management module (524) through signals.
4. The smart city big data based personal customized recommendation platform as claimed in claim 2, wherein: the customization module (511) comprises a data acquisition unit, a data management unit, a data base unit and a data security unit, wherein the data acquisition unit comprises user side acquisition, server acquisition, system acquisition and third party channel acquisition, the data management unit comprises data extraction, data cleaning, data conversion, data loading, data mapping, metadata management and data quality monitoring, the data base unit comprises static data, dynamic data and data synchronization, the data security unit comprises security audit, an exclusive platform and operation and maintenance management, the data acquisition unit performs front-end data acquisition, the data management unit performs data management for the data acquisition unit, the data base unit provides a data base for the customization module (511), and the data security unit ensures data transmission security.
5. The smart city big data based personal customized recommendation platform as claimed in claim 1, wherein: the cloud data system architecture is composed of an interface layer, a realization layer and a model layer, wherein the interface layer comprises data import, data query, metadata and data subscription, the realization layer comprises a data import engine, a query analysis engine and a data storage engine, the model layer comprises an event model, a user model and a content model, the event model comprises a browsing function, a time function, a watching function and a likes-and-dislikes function, the user model comprises an account function and a role function, and the content model comprises videos, characters, recommendations and histories.
6. The smart city big data based personal customized recommendation platform as claimed in claim 5, wherein: the specific problem of data is solved through the collocation and combination of the interface layer, the data is integrated after conclusion and summary, a general data warehouse is formed aiming at user behavior data, self-adaptive adjustment is realized to a certain extent in a formed mode, the data is imported, analyzed and stored by the layer, real-time data storage and query are realized, application requirements are met, any structured data are supported, the model layer provides a multi-type support foundation for multi-scene application, various models form semi-autonomous subsystems through a mode of independent or mutual interaction, the functional modules are independently designed and innovated, common design rules are observed simultaneously, and certain uniformity is kept mutually.
7. The smart city big data based personal customized recommendation platform as claimed in claim 4, wherein: the user side gathers including cell-phone APP, applet, recreation and bullet window, and the server is gathered including high in the clouds server and backend server, and the data acquisition unit has the collection ability of multiple data source concurrently, realizes that the whole end data asset is accumulated, and visual full-buried some multiple mode satisfies the collection needs, for customization module (511) provide powerful data to support, customization module (511) integration multiple data source, last the accumulation available, useful, practical data asset.
8. The smart city big data based personal customized recommendation platform as claimed in claim 2, wherein: the marketing management module (515) is combined with the data matching module (513) to provide a uniform user system, provide a service analysis scene and a marketing scene, realize service digital operation and growth, realize uniform management of data assets based on uniform metadata management, support continuous value increment of the data assets, and expand the meta-model according to service requirements.
9. The smart city big data based personal customized recommendation platform as claimed in claim 1, wherein: the intelligent mobile terminal (4) is internally provided with functions of user login, entertainment space, video browsing, character browsing, product recommendation, logistics navigation, comment navigation and the like, provides all-around requirements for the business platform, provides all-around requirements for the user platform, and transmits information to the user and the business platform in a coordinated and complementary manner and in a consistent manner among channels.
10. The method as claimed in any one of claims 1 to 9, wherein the recommendation method for big data based personal customized recommendation platform for smart city comprises: the method comprises the following steps:
the method comprises the following steps: the intelligent mobile terminal (4) is started, personal information, shopping requirements and various interests and hobbies of a user are managed through the user management module (512), unified management is carried out, and a user file is established;
step two: the customization module (511) sequentially performs data acquisition, data development and data operation and maintenance, constructs data modeling, and the data quality management module (524) ensures data integrity, effectiveness, timeliness, consistency, accuracy and uniqueness;
step three: the intelligent mobile terminal (4) receives the user behavior data and provides personalized data display for the user, and the marketing management module (515) provides matched marketing products for the user according to the information, shopping demands and various interests of the user.
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| CN115796847A (en) * | 2023-02-10 | 2023-03-14 | 成都秦川物联网科技股份有限公司 | Intelligent gas maintenance personnel management method, internet of things system and medium |
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| CN115796847A (en) * | 2023-02-10 | 2023-03-14 | 成都秦川物联网科技股份有限公司 | Intelligent gas maintenance personnel management method, internet of things system and medium |
| CN115796847B (en) * | 2023-02-10 | 2023-05-09 | 成都秦川物联网科技股份有限公司 | Intelligent gas maintenance personnel management method, internet of things system and medium |
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