CN116506498A - Cloud computing-based data accurate pushing method - Google Patents
Cloud computing-based data accurate pushing method Download PDFInfo
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- CN116506498A CN116506498A CN202310427676.8A CN202310427676A CN116506498A CN 116506498 A CN116506498 A CN 116506498A CN 202310427676 A CN202310427676 A CN 202310427676A CN 116506498 A CN116506498 A CN 116506498A
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- 238000007405 data analysis Methods 0.000 claims abstract description 26
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- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 238000005457 optimization Methods 0.000 claims abstract description 9
- 238000005516 engineering process Methods 0.000 claims description 9
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/2866—Architectures; Arrangements
- H04L67/30—Profiles
- H04L67/306—User profiles
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
The invention discloses a cloud computing-based data accurate pushing method, which comprises the following steps of: firstly, a cloud computing server calculates data pushed by big data, the big data is acquired from the internet of things, the internet of things uploads information to the cloud computing server, and the big data is from four dimensions of user attributes, user portraits, user behaviors and social software; the cloud computing server performs data analysis on data transmitted by the big data, analyzes consumption finance and consumption habits of users, performs price optimization and pushing time on the data analysis, performs accurate data pushing finally after the data analysis is completed, performs data analysis on user information transmitted by the big data, performs analysis on the consumption finance and consumption habits of the users, performs price optimization on pushed commodities after the analysis is completed, selects pushing time according to user surfing time after the optimization is completed, and finally performs accurate data pushing to the users.
Description
Technical Field
The invention belongs to the technical field of data accurate pushing methods based on cloud computing, and particularly relates to a data accurate pushing method based on cloud computing.
Background
Cloud computing is one of distributed computing, and refers to decomposing a huge data computing processing program into innumerable small programs through a network 'cloud', then processing and analyzing the small programs through a system formed by a plurality of servers to obtain results, and returning the results to a user, and accurately pushing the results to perform informatization processing on big data so as to place news, commodities and the like which people want to see in a preferential position.
When the existing pushing method is used for pushing, news, video, segments and the like can be pushed, so that the functions of the pushing method are limited, and a method is needed in the market to solve the problems faced at present.
Disclosure of Invention
The invention aims to provide a cloud computing-based data accurate pushing method, which aims to solve the problems that the data accurate pushing method based on cloud computing provided in the background art can push news, videos, segments and the like when pushing, so that functions of the data accurate pushing method are limited, and the market needs a method to solve the problems faced at present.
In order to achieve the above purpose, the present invention provides the following technical solutions: a cloud computing-based data accurate pushing method comprises the following steps:
step one: firstly, a cloud computing server calculates data pushed by big data, the big data is acquired from the internet of things, the internet of things uploads information to the cloud computing server, and the big data is from four dimensions of user attributes, user portraits, user behaviors and social software;
step two: and the cloud computing server performs data analysis on the data transmitted by the big data, analyzes the consumption finance and the consumption habit of the user, performs price optimization and pushing time on the data analysis, and finally performs accurate data pushing after the data analysis is completed.
Preferably, the data of the cloud computing server are derived from big data, and the big data are used for information acquisition from the internet.
Preferably, the big data is collected through four dimensions of user attributes, user portraits, user behavior and social software.
Preferably, the user attribute is derived from information such as gender, age, occupation, birth place and city of the user, and the user portrait is derived from information such as love, belief, lifestyle, family members and income situation.
Preferably, the user behavior is calculated by social software from the user's usual social APP, bloggers of interest, comments, fans, browsing and search keywords based on information such as places the user has frequented, purchased goods and goods ready for purchase.
Preferably, the cloud computing server calculates the requirements of the user and finally performs accurate data pushing through data analysis.
Preferably, the data analysis first analyzes the consumer finances and consumer habits of the slave users.
Preferably, the data analysis is price optimized at the time of push selection.
Compared with the prior art, the invention provides a cloud computing-based data accurate pushing method, which has the following beneficial effects:
the cloud computing server analyzes the user information transmitted by the big data, analyzes the consumption finance and the consumption habit of the user, optimizes the price of the pushed commodity after the analysis is completed, and finally carries out accurate data pushing to the user according to the user internet surfing time.
Drawings
Fig. 1 is a schematic structural diagram of a data accurate pushing method based on cloud computing.
In the figure: 1. cloud computing servers; 2. big data; 3. user attributes; 4. a user portrait; 5. user behavior; 6. social software; 7. information collection; 8. the Internet of things; 9. analyzing data; 10. consuming finance; 11. consumption habit; 12. optimizing the price; 13. pushing time; 14. and 3, accurate data pushing.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a cloud computing-based data accurate pushing method as shown in fig. 1, which comprises a cloud computing server 1, wherein physical server resources are divided into a plurality of virtual servers through a virtualization technology, and efficient, flexible and extensible computing, storage and network services are provided. The cloud computing server generally adopts a distributed architecture, has the advantages of high availability, elasticity, automation management and the like, can meet the demands of users on computing, storing and network resources, calculates data pushed by the big data 2, acquires 7 the big data 2 from the internet of things 8, acquires behavior data and preference data of the users through various data acquisition technologies by the cloud computing server 1, classifies, screens, filters and cleans the data through data processing and analysis, extracts valuable data, uploads the information to the cloud computing server 1 by the internet of things 8, and the big data 2 is derived from four dimensions of user attributes 3, user portraits 4, user behaviors 5 and social software 6; the cloud computing server 1 carries out data analysis 9 on the data transmitted by the big data 2, the data analysis 9 analyzes consumption finance 10 and consumption habit 11 of a user, the data analysis 9 carries out price optimization 12 and pushing time 13, and the data analysis 9 finally carries out accurate data pushing 14 after the analysis is completed.
The big data 2 uploads information to the cloud computing server 1 based on four dimensions of user attributes 3, user portraits 4, user behaviors 5 and social software 6, the big data generally comprises structured data (such as data in a database) and unstructured data (such as text, images and audio), the generation of the big data mainly originates from the development of technologies such as the internet, social media, mobile equipment and the internet of things, the technologies enable the generation speed, the types and the orders of the data to be exponentially increased, the cloud computing server 1 analyzes the user information transmitted by the big data 2, the data analysis 9 analyzes the consumption finance 10 and the consumption habits 11 of a user, the price optimization 12 is carried out on pushed commodities after the analysis is completed, and the accurate data pushing 14 is finally carried out to the user according to the user internet surfing time selection pushing time 13 after the optimization is completed.
As shown in fig. 1, the data of the cloud computing server 1 originate from big data 2, the big data 2 collects 7 information from the internet 8, the big data 2 collects data through four dimensions of a user attribute 3, a user figure 4, a user behavior 5 and social software 6, the user attribute 3 originates from information such as gender, age, occupation, birth place and working city of the user, the user figure 4 originates from information such as love, belief, life habit, family members and income situation, the user figure is established through analysis and processing of the user behavior and preference data, the user figure comprises basic information, interest preference, purchasing behavior, social network and the like of the user, so as to better know the user requirement, more accurate pushing service is provided for the user, the user behavior 5 is calculated from information such as commonly used social APP, interesting bloggers, comments, fan, browsing and searching keywords of the user, the user requirement is finally pushed 14 through data analysis 9, the data analysis 9 firstly analyzes the pushing data from the user behavior and the user's consumption habit 10, and the financial price is optimized 13 is analyzed at the time of the user's price is optimized 13.
The information sources of the big data 2 are based on four dimensions of user attributes 3, user portraits 4, user behaviors 5 and social software 6, the information acquisition 7 is carried out on the big data 2 from the internet 8, the data are transmitted to the cloud computing server 1, the cloud computing server 1 carries out data analysis 9, the data analysis 9 finally carries out accurate data pushing 14 after the analysis is completed, the cloud computing server 1 carries out analysis and processing on the user data by utilizing technologies such as machine learning, artificial intelligence and the like, a recommendation algorithm model is established, content and products which are interested in the user are recommended for the user through analysis on the user portraits and the historical behavior data, the recommendation algorithm model is established by utilizing technologies such as machine learning, artificial intelligence and the like, and the content and the products which are interested in the user are recommended for the user through analysis on the user portraits and the historical behavior data.
Finally, it should be noted that: the foregoing description of the preferred embodiments of the present invention is not intended to be limiting, but rather, it will be apparent to those skilled in the art that the foregoing description of the preferred embodiments of the present invention can be modified or equivalents can be substituted for some of the features thereof, and any modification, equivalent substitution, improvement or the like that is within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (8)
1. The accurate data pushing method based on cloud computing is characterized by comprising the following steps of:
step one: firstly, a cloud computing server (1) calculates data pushed by big data (2), the big data (2) is subjected to information acquisition (7) from an internet of things (8), the internet of things (8) uploads information to the cloud computing server (1), and the big data (2) is derived from four dimensions of user attributes (3), user portraits (4), user behaviors (5) and social software (6);
step two: the cloud computing server (1) performs data analysis (9) on the data transmitted by the big data (2), the data analysis (9) analyzes consumption finance (10) and consumption habits (11) of users, the data analysis (9) performs price optimization (12) and pushing time (13), and the data analysis (9) performs accurate data pushing (14) after the analysis is completed.
2. The cloud computing-based data accurate pushing method of claim 1, wherein the method is characterized by comprising the following steps of: the data of the cloud computing server (1) is derived from big data (2), the big data (2) is subjected to information acquisition (7) from the internet (8), the information acquisition (7) is that the cloud computing server (1) acquires behavior data and preference data of a user through various data acquisition technologies, and the data is classified, screened, filtered and cleaned through data processing and analysis, so that valuable data is extracted.
3. The cloud computing-based data accurate pushing method of claim 2 is characterized by comprising the following steps: big data (2) are subjected to data collection through four dimensions of user attributes (3), user portraits (4), user behaviors (5) and social software (6), and the user portraits (4) are used for establishing user portraits through analysis and processing of user behaviors and preference data, wherein the user portraits comprise basic information, interest preferences, purchasing behaviors, social networks and the like of users so as to better know user requirements and provide more accurate push services for the users.
4. The cloud computing-based data accurate pushing method according to claim 3, wherein the method comprises the following steps of: the user attribute (3) is derived from information such as gender, age, occupation, birth place and working city of the user, and the user portrait (4) is derived from information such as love, belief, living habit, family members and income situation.
5. The cloud computing-based data accurate pushing method according to claim 3, wherein the method comprises the following steps of: the user behavior (5) is calculated by social software (6) from the common social APP of the user, the bloggers, comments, fans, browsing and searching keywords of interest, based on the information such as the places the user has moved to, the purchased goods and the goods to be purchased.
6. The cloud computing-based data accurate pushing method according to claim 3, wherein the method comprises the following steps of: the cloud computing server (1) calculates the requirement of the user and finally carries out accurate data pushing (14) through data analysis (9).
7. The cloud computing-based data accurate pushing method of claim 6, wherein the method is characterized by comprising the following steps of: the data analysis (9) first analyzes the consumer finances (10) and consumer habits (11) of the slave users.
8. The cloud computing-based data accurate pushing method of claim 7, wherein the method is characterized by comprising the following steps of: the data analysis (9) performs price optimization (12) to perform accurate pushing at the selected pushing time (13), the cloud computing server (1) performs analysis and processing on user data by utilizing technologies such as machine learning, artificial intelligence and the like, a recommendation algorithm model is established, interested contents and products are recommended for the user through analysis on the user portrait and historical behavior data, the user data can be analyzed and processed by utilizing technologies such as machine learning, artificial intelligence and the like, the recommendation algorithm model is established, and the interested contents and products are recommended for the user through analysis on the user portrait and the historical behavior data.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310427676.8A CN116506498A (en) | 2023-04-20 | 2023-04-20 | Cloud computing-based data accurate pushing method |
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| CN202310427676.8A CN116506498A (en) | 2023-04-20 | 2023-04-20 | Cloud computing-based data accurate pushing method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116881851A (en) * | 2023-09-04 | 2023-10-13 | 成都无声讯通科技有限责任公司 | Internet of things data processing method and device based on machine learning and server |
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| CN111652648A (en) * | 2020-06-03 | 2020-09-11 | 陈包容 | Method for intelligently generating personalized combined promotion scheme and system with same |
| CN113052653A (en) * | 2021-03-24 | 2021-06-29 | 珠海华发金融科技研究院有限公司 | Financial product content recommendation method and system and computer readable storage medium |
| CN115269976A (en) * | 2022-07-22 | 2022-11-01 | 湖北长江传媒数字出版有限公司 | Intelligent service pushing platform based on user image |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109033441A (en) * | 2018-08-16 | 2018-12-18 | 安徽大尺度网络传媒有限公司 | A kind of method for pushing and device based on big data analysis |
| CN111652648A (en) * | 2020-06-03 | 2020-09-11 | 陈包容 | Method for intelligently generating personalized combined promotion scheme and system with same |
| CN113052653A (en) * | 2021-03-24 | 2021-06-29 | 珠海华发金融科技研究院有限公司 | Financial product content recommendation method and system and computer readable storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116881851A (en) * | 2023-09-04 | 2023-10-13 | 成都无声讯通科技有限责任公司 | Internet of things data processing method and device based on machine learning and server |
| CN116881851B (en) * | 2023-09-04 | 2023-12-19 | 成都无声讯通科技有限责任公司 | Internet of things data processing method and device based on machine learning and server |
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