CN111598748B - Ranking system for online shop learning results of e-commerce platform - Google Patents
Ranking system for online shop learning results of e-commerce platform Download PDFInfo
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- CN111598748B CN111598748B CN202010349769.XA CN202010349769A CN111598748B CN 111598748 B CN111598748 B CN 111598748B CN 202010349769 A CN202010349769 A CN 202010349769A CN 111598748 B CN111598748 B CN 111598748B
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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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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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
- G06F16/951—Indexing; Web crawling techniques
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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
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0282—Rating or review of business operators or products
Abstract
The invention discloses a ranking system for online shop learning results of an e-commerce platform, which comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to operate in the units of the system. The elements of the system include: the system comprises a customer evaluation satisfaction calculating unit, a monthly sales ratio calculating unit, a return goods ratio calculating unit, a ranking unit and a ranking display unit. And calculating to obtain a ranking value through the customer evaluation satisfaction value, the monthly sales ratio and the return goods ratio, and quantitatively ranking all target online stores according to the ranking value. And generating a ranking list according to the ranking condition. And displaying the ranking condition through a human-computer interaction interface through a ranking display unit. As an auxiliary teaching means, teachers can conveniently and visually know the online store operation condition of students. The invention is mainly used for the technical field of teaching.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a ranking system for online store learning results of an e-commerce platform.
Background
For teaching students to open and evaluate operation results on a cross-border e-commerce platform, a term is generally set, so that the students can carry out targeted sale on a certain target commodity through an online store within the term. Of course, other merchandise is also offered as a distracter by the online store. In order to better know the learning results of students, a teacher is generally required to evaluate the sales condition of the online shop. In the prior art, a teacher is required to count the online stores of each student one by one, which is very inconvenient and can not visually present the online stores of each student. Therefore, the development of teaching work of the students by teachers is not facilitated.
Disclosure of Invention
The invention aims to provide a ranking system for online store learning results of an e-commerce platform, which solves one or more technical problems in the prior art and provides at least one beneficial selection or creation condition.
The solution of the invention for solving the technical problem is as follows: a ranking system for online store learning results of an e-commerce platform comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to run in a unit of a system:
a customer evaluation satisfaction calculation unit for including: the acquisition from a client evaluation manager of a target website through crawler software comprises the following steps: the number of good comment entries, the number of medium comment entries and the number of bad comment entries of the target commodity in the target online store; calculating a customer rating satisfaction value, the customer rating satisfaction value satisfying:
wherein, A is the evaluation satisfaction value of the client, a1 is the number of good comment entries, a2 is the number of middle comment entries, and a3 is the number of bad comment entries;
a monthly sales duty calculation unit for including: the acquisition of the sales data manager of the target online shop through the crawler software comprises the following steps: the monthly sales number of the target commodity, the monthly sales number of all commodities; calculating to obtain a monthly sales ratio, wherein the monthly sales ratio satisfies the following conditions:
wherein B represents a monthly sales duty, B1 represents a monthly sales quantity of the target commodity, and B2 represents a monthly sales quantity of all commodities;
a return goods proportion calculation unit for including: the acquisition from the after-sale manager of the target online store through the crawler software comprises the following steps: monthly return quantity of target commodities, monthly return quantity of all commodities; calculating to obtain a goods return ratio, wherein the goods return ratio meets the following requirements:
wherein C is expressed as a return stock ratio, C1 is expressed as the monthly return stock quantity of the target commodity, and C2 is expressed as the monthly return stock quantity of all commodities;
a rank value calculation unit for calculating a rank value satisfying:
D＝A+B+C，
wherein D is represented as a permutation value;
the ranking unit is used for establishing association between the ranking values and corresponding target online stores to form an association table, and ranking the association table according to the ranking values to generate a ranking list;
and the ranking display unit is used for acquiring the ID numbers of managers corresponding to the target online stores from the target online stores, ranking the ID numbers according to the ranking list and displaying the ID numbers through a human-computer interaction interface.
Further, the ranking system also comprises a notification unit, and the notification unit is used for sending the ranking list to a manager of the target online store.
Further, the notification unit sends the ranking list to the manager of the target online shop by means of an e-mail.
Further, the notification unit sends the ranking list to a manager of the target online store, and then sends the ranking list to a manager of an e-commerce platform where the target online store is located.
Further, the ranking list is sent to a manager of the e-commerce platform where the target online shop is located in an e-mail mode.
Further, the human-computer interaction interface is a PC webpage interface.
Further, the human-computer interaction interface is a mobile phone APP terminal interface.
The invention has the beneficial effects that: and calculating to obtain a ranking value through the customer evaluation satisfaction value, the monthly sales ratio and the return goods ratio, and quantitatively ranking all target online stores according to the ranking value. And generating a ranking list according to the ranking condition. And acquiring the ID numbers of managers corresponding to the target online stores from the target online stores through a ranking display unit, ranking the ID numbers according to the ranking list, and displaying the ID numbers through a human-computer interaction interface to serve as an auxiliary teaching means. The teacher can conveniently and visually know the online shop operation condition of the students.
Drawings
In order to more clearly illustrate the technical solution in the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings described are only some embodiments of the invention, not all embodiments, and that those skilled in the art will be able to derive other designs and drawings from them without inventive effort.
Fig. 1 is a system block diagram of an online store recommended ranking system.
Detailed Description
The conception, the specific structure and the technical effects produced by the present invention will be clearly and completely described in conjunction with the embodiments and the attached drawings, so as to fully understand the objects, the features and the effects of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and those skilled in the art can obtain other embodiments without inventive effort based on the embodiments of the present invention, and all embodiments are within the protection scope of the present invention. In addition, all the coupling/connection relationships mentioned herein do not mean that the components are directly connected, but mean that a better coupling structure can be formed by adding or reducing coupling accessories according to specific implementation conditions. All technical characteristics in the invention can be interactively combined on the premise of not conflicting with each other.
Embodiment 1, with reference to fig. 1, a ranking system for online store learning results of e-commerce platform includes: a memory, a processor and a computer program stored in the memory and executable on the processor, the processor executing the computer program to run in a unit of a system. The elements of the system include: the customer evaluation satisfaction calculation unit, the monthly sales duty calculation unit, the returned goods duty calculation unit, the ranking value calculation unit, the ranking unit and the ranking display unit are all stored in the memory and execute corresponding programs.
The customer evaluation satisfaction calculation unit is configured to include: the acquisition from a client evaluation manager of a target website through crawler software comprises the following steps: the number of good comment entries, the number of middle comment entries and the number of bad comment entries of the target commodity in the target online store; calculating a customer rating satisfaction value, the customer rating satisfaction value satisfying:
wherein, A is the evaluation satisfaction value of the client, a1 is the number of good comment entries, a2 is the number of middle comment entries, and a3 is the number of bad comment entries;
the monthly sales duty calculation unit is used for comprising: the acquisition of the sales data manager of the target online shop through the crawler software comprises the following steps: monthly sales numbers of target goods, monthly sales numbers of all goods; calculating to obtain a monthly sales ratio, wherein the monthly sales ratio satisfies the following conditions:
wherein B is expressed as a monthly sales duty, B1 is expressed as a monthly sales number of the target goods, and B2 is expressed as a monthly sales number of all goods;
the return goods proportion calculating unit is used for comprising: the acquisition from the after-sale manager of the target online store through the crawler software comprises the following steps: monthly return quantity of the target commodities and monthly return quantity of all commodities; calculating to obtain a goods return ratio value, wherein the goods return ratio value meets the following requirements:
wherein C is expressed as a return stock ratio, C1 is expressed as the monthly return stock quantity of the target commodity, and C2 is expressed as the monthly return stock quantity of all commodities;
the ranking value calculation unit is used for calculating a ranking value, and the ranking value satisfies the following conditions:
D＝A+B+C，
wherein D is represented as a permutation value;
the ranking unit is used for establishing association between the ranking values and corresponding target online stores to form an association table, and ranking the association table according to the ranking values to generate a ranking list;
the ranking display unit is used for acquiring the ID numbers of managers corresponding to the target online stores from the target online stores, ranking the ID numbers according to the ranking list and displaying the ID numbers through a human-computer interaction interface.
Specifically, the customer satisfaction calculation unit accesses a customer evaluation manager of the target online store, wherein the customer evaluation manager refers to a module for managing evaluation of the online store, and the customer evaluation manager can be arranged in a server of the target online store or a server of an e-commerce platform of the target online store. Through the customer evaluation manager, the customer satisfaction calculation unit can obtain the use feedback condition of the customers who visit the target online store or purchase the target commodities in the target online store. The feedback condition is used as consideration to reflect the favor degree of the target commodity sold by the target online store in the client, so that the sale condition of the student in the online store operation process is judged, and the sale skill of the student and the overall online store operation condition are reflected.
The monthly sales duty calculation unit is used for calculating the sales condition of the target commodity in the target online store. Therefore, the monthly sales duty calculation unit obtains the monthly sales number of the target commodity and the monthly sales number of all commodities by accessing the sales data manager and from the database of the sales data manager; thereby calculating the monthly sales ratio. Therefore, the monthly sales condition of the target commodity in the target online store can be known, and whether the target commodity belongs to the 'money-bursting' commodity of the target online store can be reflected.
The return goods ratio calculating unit is used for calculating the quality condition of the target goods in the target online store. The return commodity proportion calculating unit obtains the monthly return commodity quantity of the target commodities and the monthly return commodity quantity of all the commodities in a database of the after-sale manager through the after-sale manager of the target online store, and calculates the return commodity proportion according to the two data. Thereby knowing the quality condition of the target commodity in the target online store.
And calculating to obtain a ranking value through the customer evaluation satisfaction value, the monthly sales ratio and the return goods ratio, and quantitatively ranking all target online stores according to the ranking value. And generating a ranking list according to the ranking condition. At this time, the ranking display unit can acquire the ID numbers of managers corresponding to the target online stores from the target online stores, rank the ID numbers according to the ranking list, and display the ID numbers through a human-computer interaction interface. Therefore, teachers can conveniently see the ranking list, and the ranking list is used as an auxiliary teaching means to intuitively sense the learning achievement conditions of students.
As a further optimization of the above embodiment, the online shop recommended ranking system further comprises a notification unit, and the notification unit is configured to send the ranking list to a manager of the target online shop.
As a further optimization of the above embodiment, the notification unit sends the ranking list to the manager of the target online shop by means of an email.
As a further optimization of the foregoing embodiment, after sending the ranking list to the manager of the target online store, the notification unit further sends the ranking list to the manager of the e-commerce platform where the target online store is located. The teacher can obtain the ranking list through an account of a manager who logs in the E-commerce platform.
As a further optimization of the above embodiment, the ranking list is sent to the manager of the e-commerce platform where the target online store is located by means of an email.
As a further optimization of the above embodiment, the human-computer interaction interface is a PC web interface.
As a further optimization of the above embodiment, the human-computer interaction interface is a mobile phone APP end interface.
The ranking system of the online shop learning result of the e-commerce platform can be operated in computing equipment such as a desktop computer, a notebook computer, a palm computer and a cloud server. The ranking system for online shop learning result of e-commerce platform can be operated by a system comprising, but not limited to, a processor and a memory. It will be understood by those skilled in the art that the example is only an example of the ranking system of the online store learning achievement of the e-commerce platform, and does not constitute a limitation of the ranking system of the online store learning achievement of the e-commerce platform, and may include more or less components than a certain proportion, or some components in combination, or different components, for example, the ranking system of the online store learning achievement of the e-commerce platform may further include an input-output device, a network access device, a bus, and the like.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. The general processor can be a microprocessor or the processor can be any conventional processor, etc., the processor is a control center of the ranking system operation system of the online shop learning result of the E-commerce platform, and various interfaces and lines are used for connecting all parts of the ranking system operation system of the online shop learning result of the whole E-commerce platform.
The memory can be used for storing the computer program and/or the module, and the processor can realize various functions of the ranking system of the online shop learning result of the e-commerce platform by operating or executing the computer program and/or the module stored in the memory and calling the data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, etc. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that the present invention is not limited to the details of the embodiments shown and described, but is capable of numerous equivalents and substitutions without departing from the spirit of the invention and its scope is defined by the claims appended hereto.
Claims (7)
1. A ranking system for online store learning results of an e-commerce platform, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to run in a unit of a system:
a customer evaluation satisfaction calculation unit for including: the acquisition from a client evaluation manager of a target website through crawler software comprises the following steps: the number of good comment entries, the number of middle comment entries and the number of bad comment entries of the target commodity in the target online store; calculating a customer rating satisfaction value, the customer rating satisfaction value satisfying:
wherein, A is the evaluation satisfaction value of the client, a1 is the number of good comment entries, a2 is the number of middle comment entries, and a3 is the number of bad comment entries;
a monthly sales duty calculation unit for including: the acquisition of the sales data manager of the target online shop through the crawler software comprises the following steps: the monthly sales number of the target commodity, the monthly sales number of all commodities; calculating to obtain a monthly sales ratio which satisfies the following conditions:
wherein B is expressed as a monthly sales duty, B1 is expressed as a monthly sales number of the target goods, and B2 is expressed as a monthly sales number of all goods;
a return ratio calculation unit for including: the acquisition from the after-sale manager of the target online store through the crawler software comprises the following steps: monthly return quantity of the target commodities and monthly return quantity of all commodities; calculating to obtain a goods return ratio value, wherein the goods return ratio value meets the following requirements:
wherein C is the ratio of the returned goods, C1 is the monthly returned goods quantity of the target goods, and C2 is the monthly returned goods quantity of all goods;
a rank value calculation unit for calculating a rank value satisfying:
D＝A+B+C，
wherein D is represented as a permutation value;
the ranking unit is used for establishing association between the ranking values and corresponding target online stores to form an association table, and ranking the association table according to the ranking values to generate a ranking list;
and the ranking display unit is used for acquiring the ID numbers of managers corresponding to the target online stores from the target online stores, ranking the ID numbers according to the ranking list and displaying the ID numbers through a human-computer interaction interface.
2. The system for ranking the online store learning achievement of the e-commerce platform as claimed in claim 1, wherein: the system also comprises a notification unit used for sending the ranking list to the manager of the target online shop.
3. The system for ranking the online store learning achievement of the e-commerce platform as claimed in claim 2, wherein: the notification unit sends the ranking list to the manager of the target online shop by means of an e-mail.
4. The system for ranking the online store learning achievement of the e-commerce platform as claimed in claim 2, wherein: the notification unit sends the ranking list to a manager of the target online store, and then sends the ranking list to a manager of an e-commerce platform where the target online store is located.
5. The system for ranking the online store learning achievement of the e-commerce platform as claimed in claim 4, wherein: and the ranking list is sent to a manager of the e-commerce platform where the target online shop is located in an e-mail mode.
6. The system for ranking the online store learning achievement of the e-commerce platform as claimed in claim 1, wherein: the human-computer interaction interface is a PC webpage interface.
7. The system for ranking the online store learning achievement of the e-commerce platform as claimed in claim 1, wherein: the man-machine interaction interface is a mobile phone APP terminal interface.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109190939A (en) * | 2018-08-16 | 2019-01-11 | 裔洋严品国际有限公司 | Shops's operation data management system |
| CN110232592A (en) * | 2019-05-30 | 2019-09-13 | 恒锋信息科技股份有限公司 | County domain electric business developing state appraisal procedure and system based on web crawlers technology |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109190939A (en) * | 2018-08-16 | 2019-01-11 | 裔洋严品国际有限公司 | Shops's operation data management system |
| CN110232592A (en) * | 2019-05-30 | 2019-09-13 | 恒锋信息科技股份有限公司 | County domain electric business developing state appraisal procedure and system based on web crawlers technology |
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