CN112767076A - Customer channel drainage system based on big data recommendation algorithm - Google Patents
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Abstract
The invention relates to the technical field of electronic commerce, and discloses a customer channel drainage system based on a big data recommendation algorithm, which comprises a drainage system, wherein the drainage system comprises a central processing unit, the input end of the central processing unit is electrically connected with the output end of a data marking module, the input end of the data marking module is electrically connected with the output end of a data integration module, the input end of the data integration module is electrically connected with the output end of a data collection module, and the input end of the data collection module is in signal connection with the output end of a big data platform. This customer channel drainage system based on big data recommendation algorithm carries out propelling movement in advance through the collection and the integration of data, and rethread data feedback and analysis carry out individualized accurate recommendation, also carry out accurate recommendation to user's different demands, and then utilize big data to carry out the drainage to the customer and promote user experience, also can be continuous carry out deepened study for this system is more intelligent.
Description
Technical Field
The invention relates to the technical field of electronic commerce, in particular to a customer channel drainage system based on a big data recommendation algorithm.
Background
In the field of electronic commerce, user data acquisition and analysis are very critical to commodity recommendation and accurate marketing. For third-party platform merchants in the e-commerce website, user data information of the merchants needs to be acquired from an operator of the e-commerce website. In the era of mobile internet, personalized accurate recommendation is particularly important. How to accurately recommend the user to be solved urgently according to different requirements of the user.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a customer channel drainage system based on a big data recommendation algorithm.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: the customer channel drainage system based on the big data recommendation algorithm comprises a drainage system, wherein the drainage system comprises a central processing unit, the input end of the central processing unit is electrically connected with the output end of a data marking module, the input end of the data marking module is electrically connected with the output end of a data integration module, the input end of the data integration module is electrically connected with the output end of a data collection module, the input end of the data collection module is in signal connection with the output end of a big data platform, the output end of the central processing unit is electrically connected with the input end of a data analysis module, the input end of the central processing unit is electrically connected with the output end of the data analysis module, the output end of the central processing unit is electrically connected with the input end of a storage module, the input end of the central processing unit is electrically connected with the output end of the, the input of central processing unit is connected with the output of feedback module electricity, central processing unit's output is connected with communication module's input electricity, central processing unit's input is connected with communication module's output electricity, central processing unit's output is connected with display module's input electricity, communication module's output and the input signal connection of PC end, communication module's input and the output signal connection of PC end, communication module's output and mobile terminal's input signal connection, communication module's input and mobile terminal's output signal connection.
Preferably, the data collection module collects customer information, customer browsing data, item popularity data and customer transaction data of the big data platform.
Preferably, the input end of the drainage system is electrically connected with the output end of the power supply module.
Preferably, the feedback module is used for the client to evaluate the related product based on the actual product, collect the evaluation content of the user, obtain the feedback content of the product, analyze the feedback content based on the product, and then push the information.
The customer channel drainage system based on the big data recommendation algorithm comprises the following steps:
1) data collection: collecting user data on a big data platform;
2) data integration: classifying and integrating the collected data;
3) data processing: labeling the classified and integrated data;
4) data release: delivering the data with the label to a computer client and a mobile terminal;
5) data feedback: collecting and analyzing the released data, knowing the attention points of personnel, and pushing information;
6) client drainage: the accurate drainage is carried out on different people.
(III) advantageous effects
Compared with the prior art, the invention provides the customer channel drainage system based on the big data recommendation algorithm, which has the following beneficial effects:
this customer channel drainage system based on big data recommendation algorithm carries out propelling movement in advance through the collection and the integration of data, and rethread data feedback and analysis carry out individualized accurate recommendation, also carry out accurate recommendation to user's different demands, and then utilize big data to carry out the drainage to the customer and promote user experience, also can be continuous carry out deepened study for this system is more intelligent.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
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, the present invention provides a technical solution: the customer channel drainage system based on the big data recommendation algorithm comprises a drainage system, wherein the drainage system comprises a central processing unit, the input end of the central processing unit is electrically connected with the output end of a data marking module, the input end of the data marking module is electrically connected with the output end of a data integration module, the input end of the data integration module is electrically connected with the output end of a data collection module, the input end of the data collection module is in signal connection with the output end of a big data platform, the data collection module collects customer information, customer browsing data, article heat data and customer transaction data of the big data platform, the output end of the central processing unit is electrically connected with the input end of a data analysis module, the input end of the central processing unit is electrically connected with the output end of a data analysis module, the output end of the central processing unit is electrically connected with the input end of, the output end of the central processing unit is electrically connected with the input end of the feedback module, the input end of the central processing unit is electrically connected with the output end of the feedback module, the feedback module is used for evaluating related products by customers based on actual products, the evaluation content of the users is collected to obtain the feedback content of the products, the feedback content is analyzed based on the products and then information is pushed, the output end of the central processing unit is electrically connected with the input end of the communication module, the input end of the central processing unit is electrically connected with the output end of the communication module, the output end of the central processing unit is electrically connected with the input end of the display module, the output end of the communication module is in signal connection with the input end of the PC end, the input end of the communication module is in signal connection with the output end of the PC end, the output end of the communication module is, the input end of the drainage system is electrically connected with the output end of the power supply module;
the customer channel drainage system based on the big data recommendation algorithm comprises the following steps:
1) data collection: collecting user data on a big data platform;
2) data integration: classifying and integrating the collected data;
3) data processing: labeling the classified and integrated data;
4) data release: delivering the data with the label to a computer client and a mobile terminal;
5) data feedback: collecting and analyzing the released data, knowing the attention points of personnel, and pushing information;
6) client drainage: the accurate drainage is carried out on different people.
To sum up, this customer channel drainage system based on big data recommendation algorithm carries out propelling movement in advance through the collection and the integration of data, and individualized accurate recommendation is carried out through data feedback and analysis again, also carries out accurate recommendation to user's different demands, and then utilizes big data to carry out the drainage to the customer and promotes user experience, also can be continuous carry out deepened study for this system is more intelligent.
The related modules involved in the system are all hardware system modules or functional modules combining computer software programs or protocols with hardware in the prior art, and the computer software programs or the protocols involved in the functional modules are all known in the technology of persons skilled in the art, and are not improvements of the system; the improvement of the system is the interaction relation or the connection relation among all the modules, namely the integral structure of the system is improved, so as to solve the corresponding technical problems to be solved by the system.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. Customer channel drainage system based on big data recommendation algorithm, including drainage system, its characterized in that: the drainage system comprises a central processing unit, the input end of the central processing unit is electrically connected with the output end of a data marking module, the input end of the data marking module is electrically connected with the output end of a data integration module, the input end of the data integration module is electrically connected with the output end of a data collection module, the input end of the data collection module is in signal connection with the output end of a big data platform, the output end of the central processing unit is electrically connected with the input end of a data analysis module, the input end of the central processing unit is electrically connected with the output end of the data analysis module, the output end of the central processing unit is electrically connected with the input end of a storage module, the input end of the central processing unit is electrically connected with the input end of a feedback module, and the input end of the central processing unit is electrically connected, the output of central processing unit is connected with communication module's input electricity, central processing unit's input is connected with communication module's output electricity, central processing unit's output is connected with display module's input electricity, communication module's output and the input signal connection of PC end, communication module's input and the output signal connection of PC end, communication module's output and mobile terminal's input signal connection, communication module's input and mobile terminal's output signal connection.
2. The big data recommendation algorithm-based customer channel drainage system of claim 1, wherein: and the data collection module collects the customer information, the customer browsing data, the item popularity data and the customer transaction data of the big data platform.
3. The big data recommendation algorithm-based customer channel drainage system of claim 1, wherein: and the input end of the drainage system is electrically connected with the output end of the power supply module.
4. The big data recommendation algorithm-based customer channel drainage system of claim 1, wherein: the feedback module is used for evaluating related products by a client based on actual products, collecting evaluation contents of the user, obtaining feedback contents of the products, analyzing based on the feedback contents of the products, and pushing information.
5. The big data recommendation algorithm-based customer channel drainage system of claim 1, wherein: the method comprises the following steps:
1) data collection: collecting user data on a big data platform;
2) data integration: classifying and integrating the collected data;
3) data processing: labeling the classified and integrated data;
4) data release: delivering the data with the label to a computer client and a mobile terminal;
5) data feedback: collecting and analyzing the released data, knowing the attention points of personnel, and pushing information;
6) client drainage: the accurate drainage is carried out on different people.
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KR20100091669A (en) * | 2009-02-11 | 2010-08-19 | 인하대학교 산학협력단 | Personalized recommendation system for e-commerce service |
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CN109584003A (en) * | 2018-11-26 | 2019-04-05 | 上海景域文化传播股份有限公司 | Intelligent recommendation system |
KR20190093755A (en) * | 2018-01-11 | 2019-08-12 | 강병구 | Big data-based image text recognition and customized foodstuff recommendation methods and system |
CN111489213A (en) * | 2019-01-25 | 2020-08-04 | 上海菲碧文化传媒有限公司 | Electronic commerce personalized recommendation system based on big data |
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2021
- 2021-01-08 CN CN202110025944.4A patent/CN112767076A/en active Pending
Patent Citations (6)
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KR20100091669A (en) * | 2009-02-11 | 2010-08-19 | 인하대학교 산학협력단 | Personalized recommendation system for e-commerce service |
CN105869001A (en) * | 2015-01-19 | 2016-08-17 | 苏宁云商集团股份有限公司 | Customized product recommendation guiding method and system |
KR20190093755A (en) * | 2018-01-11 | 2019-08-12 | 강병구 | Big data-based image text recognition and customized foodstuff recommendation methods and system |
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