CN112184378A - Reputation evaluation technical method based on computer information - Google Patents
Reputation evaluation technical method based on computer information Download PDFInfo
- Publication number
- CN112184378A CN112184378A CN202011048166.2A CN202011048166A CN112184378A CN 112184378 A CN112184378 A CN 112184378A CN 202011048166 A CN202011048166 A CN 202011048166A CN 112184378 A CN112184378 A CN 112184378A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- shop
- user
- reputation
- platform
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 59
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 6
- 238000007667 floating Methods 0.000 claims description 4
- 230000003631 expected effect Effects 0.000 abstract description 3
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- 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]
- G06Q30/0609—Buyer or seller confidence or verification
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a credit evaluation technical method based on computer information, which comprises the steps that a user logs in a shopping platform system to carry out identity authentication, enters a shopping platform after the authentication is successful, the user previews commodities and clicks to enter a shop platform after selecting the commodities, clicks shop comments, analyzes the shop credit evaluation platform in sequence, and carries out information filling and money payment after analyzing higher credit degree, and the credit evaluation technical method based on the computer information not only ensures that the purchased shops are more accordant with the expected effect of the user, but also can avoid excessive propaganda of partial bad merchants and a bad processing mode in the later period, the economic and time loss caused by purchasing errors is reduced.
Description
Technical Field
The invention relates to a reputation evaluation technical method based on computer information, in particular to a reputation evaluation technical method based on computer information, belonging to the technical field of reputation evaluation technical methods.
Background
With the development of the online society, a large part of users usually choose to shop on the internet, and online shopping refers to retrieving commodity information through the internet of a computer, sending a shopping request through an electronic purchase order, filling in a private financial account, and delivering goods by a manufacturer in a mail order mode or delivering goods to home through an express company.
In the prior art, users usually selectively shop according to texts, pictures and videos displayed by shops when online shopping is carried out, and the online shopping is not capable of detecting the quality of the bought commodities on the spot, so that the bought commodities are prone to be not ideal, on one hand, mistakes of bought varieties or quality problems are prone to occur, on the other hand, the bought commodities are prone to be influenced by exaggerated descriptions of the merchants, unnecessary economic loss and time loss are prone to occur, and therefore a reputation evaluation technical method based on computer information is needed.
Disclosure of Invention
The invention aims to provide a credit evaluation technical method based on computer information, which aims to solve the problem of errors of purchased products in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a reputation evaluation technical method based on computer information comprises the following specific steps:
s101: a user logs in a shopping platform system to carry out identity authentication, and enters a shopping platform after the authentication is successful;
s102: a user previews commodities, clicks to enter a shop platform after selecting the commodities;
s103: clicking store comments, and analyzing the shop reputation evaluation platform in sequence;
s104: after the credit degree is analyzed to be higher, the user performs information filling and money payment;
s105: evaluating the credit degree after the transaction is finished;
s201: and (5) exiting the shop platform after the analysis credibility is lower, and returning to the step S102.
As a preferred technical scheme of the invention, the shop reputation evaluation platform comprises a text comment, a picture comment and a video comment.
As a preferred technical scheme of the invention, a guide mechanism is set when the user previews the commodities, so that the interest degree of the user is increased by a dynamic video.
As a preferred technical scheme of the invention, a praise and collection platform is established when the user previews the commodities, so that the user can return to find the commodities and shops conveniently.
As a preferred technical scheme of the invention, a reward mechanism is set up after the transaction is finished, and the user is guided to make positive evaluation.
As a preferred technical solution of the present invention, the evaluation processing platform performs classification statistics on each commodity and merchant evaluation information according to users, classifies and calculates a good evaluation ratio a, a medium evaluation ratio B, and a bad evaluation ratio C, the evaluation users have good reputation in the evaluation users, the medium evaluation weights B, and the bad evaluation weights C, and the shop and commodity floating scores calculated by the shop comprehensive reputation scoring platform are as follows: merchant float score ═ a + B + C.
As a preferred technical scheme of the invention, when the user judges that the reputation of the shop is too low, the user directly exits from the shop to select new commodities and shops.
Compared with the prior art, the invention has the beneficial effects that: the invention discloses a credit evaluation technical method based on computer information, which is characterized in that after a commodity is selected, a shop where the commodity is located is previewed, text, pictures and video comments in user comments set by the shop are evaluated, and whether the commodity needs to be selected for purchasing or not is selected, so that the purchased shop is more in line with the expected effect of a user, excessive propaganda of partial bad merchants and a bad processing mode in the later period can be avoided, and the economic and time losses caused by purchasing errors are reduced.
Drawings
FIG. 1 is a schematic diagram of the steps 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 reputation evaluation technical method based on computer information, which comprises the following specific steps:
s101: a user logs in a shopping platform system to carry out identity authentication, and enters a shopping platform after the authentication is successful;
s102: a user previews commodities, clicks to enter a shop platform after selecting the commodities;
s103: clicking store comments, and analyzing the shop reputation evaluation platform in sequence;
s104: after the credit degree is analyzed to be higher, the user performs information filling and money payment;
s105: evaluating the credit degree after the transaction is finished;
s201: the user exits the shop platform after the analysis credibility is lower and returns to the step S102,
the shop reputation evaluation platform comprises text comments, picture comments and video comments, a guide mechanism is set when a user previews commodities to increase the user interest degree by a dynamic video, a praise and collection platform is set when the user previews commodities to facilitate the user to return to find commodities and shops, a reward mechanism is set after trading is finished to guide the user to make correct evaluation actively, the evaluation processing platform carries out classification statistics on each commodity and merchant evaluation information according to the user, a good evaluation ratio A, a medium evaluation ratio B and a bad evaluation ratio C are classified and calculated, an evaluation weight a, a medium evaluation weight B and a bad evaluation weight C with good user reputation are set in the comment user, and the shop and the commodity floating score calculated by the shop comprehensive rating reputation platform are as follows: and (4) the merchant floating score is A + a + B + B + C, and the user directly exits from the shop when judging that the reputation of the shop is too low, and selects new commodities and shops.
When the reputation evaluation method is used specifically, a user inputs personal information to log in a shopping platform, searches and previews the needed commodity according to needs, selects the commodity according to the displayed text, pictures and videos provided by a shop, when the user browses the proper commodity, the user clicks to enter the shop platform through the commodity to find a comment area of the shop, previews the commodity and the evaluation of the shop after other users purchase the commodity in the shop, when the evaluation is higher and meets the user expectation, performs information filling and commodity payment, after payment, the commodity is truly evaluated, and when the evaluation is lower and does not meet the user expectation, the user exits the shop to reselect the commodity and judges the shop.
In summary, the reputation evaluation technical method based on computer information of the invention previews the shop where the commodity is located after selecting the commodity, evaluates the text, picture and video comments in the user comments set by the shop, and selects whether to select to buy the commodity, so that the bought shop is more in line with the expected effect of the user, and the over-propaganda and later-stage bad processing modes of part of bad merchants can be avoided, thereby reducing the economic and time loss caused by the error in shopping.
In the description of the present invention, it is to be understood that the indicated orientations or positional relationships are based on the orientations or positional relationships shown in the drawings and are only for convenience in describing the present invention and simplifying the description, but are not intended to indicate or imply that the indicated devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are not to be construed as limiting the present invention.
In the present invention, unless otherwise explicitly specified or limited, for example, it may be fixedly attached, detachably attached, or integrated; can be mechanically or electrically connected; the terms may be directly connected or indirectly connected through an intermediate, and may be communication between two elements or interaction relationship between two elements, unless otherwise specifically limited, and the specific meaning of the terms in the present invention will be understood by those skilled in the art according to specific situations.
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 (7)
1. A reputation evaluation technical method based on computer information is characterized in that: the method comprises the following specific steps:
s101: a user logs in a shopping platform system to carry out identity authentication, and enters a shopping platform after the authentication is successful;
s102: a user previews commodities, clicks to enter a shop platform after selecting the commodities;
s103: clicking store comments, and analyzing the shop reputation evaluation platform in sequence;
s104: after the credit degree is analyzed to be higher, the user performs information filling and money payment;
s105: evaluating the credit degree after the transaction is finished;
s201: and (5) exiting the shop platform after the analysis credibility is lower, and returning to the step S102.
2. A reputation evaluation technical method based on computer information according to claim 1, wherein: the shop reputation evaluation platform comprises text comments, picture comments and video comments.
3. A reputation evaluation technical method based on computer information according to claim 1, wherein: and when the user previews the commodities, a guide mechanism is set so as to increase the user interest degree by a dynamic video.
4. A reputation evaluation technical method based on computer information according to claim 1, wherein: when previewing the commodities, the user sets a praise and collection platform, so that the user can return to find the commodities and shops conveniently.
5. A reputation evaluation technical method based on computer information according to claim 1, wherein: and after the transaction is finished, a reward mechanism is set to guide the user to make correct evaluation actively.
6. A reputation evaluation technical method based on computer information according to claim 1, wherein: the evaluation processing platform carries out classification statistics on each commodity and the merchant evaluation information according to users, classifies and calculates a good evaluation ratio A, a medium evaluation ratio B and a bad evaluation ratio C, an evaluation weight a, a medium evaluation weight B and a bad evaluation weight C which are good in reputation of the users in the comment users, and shop and commodity floating scores calculated by the comprehensive reputation scoring platform of the shop are as follows: merchant float score ═ a + B + C.
7. A reputation evaluation technical method based on computer information according to claim 1, wherein: and when the user judges that the reputation of the shop is too low, the user directly exits the shop to select new commodities and shops.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011048166.2A CN112184378A (en) | 2020-09-29 | 2020-09-29 | Reputation evaluation technical method based on computer information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011048166.2A CN112184378A (en) | 2020-09-29 | 2020-09-29 | Reputation evaluation technical method based on computer information |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112184378A true CN112184378A (en) | 2021-01-05 |
Family
ID=73946431
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011048166.2A Pending CN112184378A (en) | 2020-09-29 | 2020-09-29 | Reputation evaluation technical method based on computer information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112184378A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113972698A (en) * | 2021-10-21 | 2022-01-25 | 南京邮电大学 | Elastic distributed economic dispatching method for power system under information network attack |
| CN114640476A (en) * | 2022-05-20 | 2022-06-17 | 中国科学院合肥物质科学研究院 | Method, system and medium for evaluating credit of certificate issuer of decentralized identity certificate |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105354719A (en) * | 2015-12-15 | 2016-02-24 | 中国建设银行股份有限公司 | Credit evaluating system and method applied to electronic commerce platform |
| JP2019049912A (en) * | 2017-09-11 | 2019-03-28 | 株式会社日本総合研究所 | Information processing device, information processing method, and information processing program |
| CN110415087A (en) * | 2019-08-05 | 2019-11-05 | 江苏易汇聚软件科技有限公司 | A kind of electronic commerce transaction system Internet-based |
| CN110533330A (en) * | 2019-08-30 | 2019-12-03 | 北京智云信国际信用评价有限公司 | Trade company's credit evaluating system and method based on big data monitoring |
-
2020
- 2020-09-29 CN CN202011048166.2A patent/CN112184378A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105354719A (en) * | 2015-12-15 | 2016-02-24 | 中国建设银行股份有限公司 | Credit evaluating system and method applied to electronic commerce platform |
| JP2019049912A (en) * | 2017-09-11 | 2019-03-28 | 株式会社日本総合研究所 | Information processing device, information processing method, and information processing program |
| CN110415087A (en) * | 2019-08-05 | 2019-11-05 | 江苏易汇聚软件科技有限公司 | A kind of electronic commerce transaction system Internet-based |
| CN110533330A (en) * | 2019-08-30 | 2019-12-03 | 北京智云信国际信用评价有限公司 | Trade company's credit evaluating system and method based on big data monitoring |
Non-Patent Citations (2)
| Title |
|---|
| 沈任元: "《智能手机实用教程 第2版》", 31 August 2018, 上海教育出版社 * |
| 秦宗锋 等: "电子商务中信任值计算方法改进研究", 《现代商贸工业》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113972698A (en) * | 2021-10-21 | 2022-01-25 | 南京邮电大学 | Elastic distributed economic dispatching method for power system under information network attack |
| CN113972698B (en) * | 2021-10-21 | 2023-06-02 | 南京邮电大学 | Elastic distributed economic dispatching method for power system under information network attack |
| CN114640476A (en) * | 2022-05-20 | 2022-06-17 | 中国科学院合肥物质科学研究院 | Method, system and medium for evaluating credit of certificate issuer of decentralized identity certificate |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20050060228A1 (en) | Method and system for offering a money-back guarantee in a network-based marketplace | |
| US20130173478A1 (en) | System and method for a consumer to merchant negotiation | |
| CN112184378A (en) | Reputation evaluation technical method based on computer information | |
| US20200302488A1 (en) | Method and apparatus for promotion template generation | |
| KR20220031446A (en) | One-stop overseas export platform system using overseas influencer matching and settlement | |
| US20220036321A1 (en) | Information Processing Apparatus, Information Processing Method, and Non-Transitory Computer-Readable Storage Medium | |
| KR100891930B1 (en) | Method, system and computer-readable recording medium for providing popular goods by using evaluation data on goods | |
| KR20110065103A (en) | System and method for estimation product of on-line sale, and apparatus applied to the same | |
| Dos Santos et al. | Interactions between e-commerce users during the COVID-19 pandemic period: What came and what remained | |
| JP2018116580A (en) | Calculation device, calculation method and calculation program | |
| CN114971083A (en) | Method for purchasing, predicting and selling goods | |
| Yarom et al. | The role of middle-agents in electronic commerce | |
| CN112700263A (en) | Electronic commerce transaction method and electronic commerce transaction platform | |
| KR102046929B1 (en) | Service server, sns type system for trading goods including the same and method thereof | |
| US20130030891A1 (en) | Value management system | |
| Srikrishnan et al. | A Dual Mode Risk Analysis Model For Efficient Cross Border Transaction Using Big Data | |
| SARATHE | A Study On Impact Of E-Commerce On Consumer Buying Behaviour (With Special Reference To Grocery Products, Consumer Of Bhopal) | |
| TWI825358B (en) | An information processing system and method thereof | |
| US20230325869A1 (en) | Automated Product/Service Vending System and Method | |
| Sunagar et al. | Feedback collection and sentiment analysis on the product reviews | |
| Li et al. | The Establishment of Commodity Success Model Based on Text Sentiment Analysis | |
| US20140114862A1 (en) | System and method for a consumer to merchant negotiation | |
| Wang et al. | Research on Countermeasures for the Development of Cross-border E-commerce between China and Russia under the Background of the Belt and Road Initiative | |
| Murdifin | The Objective is to Enhance Sales through an Offline to Online (O2O) Strategy (Case Study: Kampoeng Merdeka Clothing in Makassar City) | |
| CN113256391A (en) | Credit evaluation system based on third-party electronic commerce and transaction |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210105 |
|
| RJ01 | Rejection of invention patent application after publication |