CN108470301A - A kind of commodity network method of commerce - Google Patents
A kind of commodity network method of commerce Download PDFInfo
- Publication number
- CN108470301A CN108470301A CN201810143289.0A CN201810143289A CN108470301A CN 108470301 A CN108470301 A CN 108470301A CN 201810143289 A CN201810143289 A CN 201810143289A CN 108470301 A CN108470301 A CN 108470301A
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- user
- information
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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]
- G06Q30/0623—Item investigation
- G06Q30/0625—Directed, with specific intent or strategy
- G06Q30/0629—Directed, with specific intent or strategy for generating comparisons
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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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- 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 present invention relates to a kind of commodity network method of commerce, include the following steps:The Transaction Information of transaction buyer user and seller user is obtained, and the preference seller user information that data mining obtains buyer user is carried out to Transaction Information；The commodities purchased information of buyer user is matched with the merchandise news of seller user, then matches the seller user of successful match with the preference seller user information of buyer user, then sends commodities purchased information to the seller user of successful match；The seller user for receiving commodities purchased information sends transaction request information to buyer user；Buyer user receives and is traded operation with the buyer user for sending out transaction request information after transaction request information.Based on the data mining to purchaser transaction information, the preference seller user information of buyer user is generated, when buyer carries out procurement of commodities, priority match goes out seller user from preference seller user information, merchandises successfully to facilitate.
Description
Technical field
The present invention relates to technical field of electronic commerce, in particular a kind of commodity network method of commerce.
Background technology
In the prior art, the information explosion that magnanimity information is brought, buyer user is had by manual search for e-commerce
Imitate the less efficient of merchandise news；In addition, the in the top of the seller user of cost is improved by bid ranking, and the seller
The commodity possible price that user provides is more than the expectation of buyer user, and other businessmans are although cheap because ranking is leaned on
After can not be found, and in the prior art, commodity price becomes both parties and carries out matched principal element, but practical hands over
Yi Zhong, the factors such as habit of transaction between buyer and seller can influence trade decision, in other words, be formed by principal element of price
Deals match result can not often facilitate and merchandising successfully, trading frequency higher buyer larger particularly with transactions demand
For, the transaction cost of the prior art is higher.
Invention content
Present invention aims at solving the above problems, a kind of quotient suitable for the larger buyer user of purchase quantity is provided
Product network trading method, is specifically realized by following technical scheme：
A kind of commodity network method of commerce, includes the following steps:
The Transaction Information of transaction buyer user and seller user is obtained, and data mining is carried out to Transaction Information and obtains buyer user
Preference seller user information；
The commodities purchased information of buyer user is matched with the merchandise news of seller user, then by the seller of successful match
User matches with the preference seller user information of buyer user, then sends commodities purchased to the seller user of successful match
Information；
The seller user for receiving commodities purchased information sends transaction request information to buyer user；
Buyer user receives and is traded operation with the buyer user for sending out transaction request information after transaction request information.
The further design of the method is that the data mining includes the following steps:The Transaction Information is pressed
It is screened according to the rule of setting, generates valid data；According to the user preference analysis model and transaction analysis mould pre-established
Type analyzes valid data, generates the result set of the preference seller user information including at least buyer user.
The further design of the method is that the result set further includes buyer's the activity of the user grade, evaluation
Grade and transaction history information.
The method it is further design be, the Transaction Information of the buyer user and the merchandise news of seller user
From being obtained in the record data of website storage facility located at processing plant and CRM system.
The further design of the method is that the commodities purchased information indicating has type of merchandize, commodity amount, friendship
Pay mode, delivery time and commodity price.
The further design of the method is, after the buyer user receives transaction request information, with offer friendship
The seller user of easy solicited message is traded operation with the mode of doing business indicated described in commodities purchased information.
The further design of the method is that before buyer user is traded with seller user, buyer user goes back root
Determine whether to be traded operation according to the credit rating of seller user.
The further design of the method is, the credit information of seller user is obtained by the data mining；
Alternatively, obtaining the credit information of seller user from other data systems.
The beneficial effects of the present invention are：
Based on the data mining to purchaser transaction information, the preference seller user information of buyer user is generated, in buyer into doing business
When product are purchased, priority match goes out seller user from preference seller user information, merchandises successfully to facilitate.
Description of the drawings
Fig. 1 is the logical schematic of the present invention.
Specific implementation mode
Below by way of specific embodiment, invention is further explained：
In conjunction with shown in Fig. 1, a kind of commodity network method of commerce includes the following steps:
The Transaction Information of transaction buyer user and seller user is obtained, and data mining is carried out to Transaction Information and obtains buyer user
Preference seller user information；
The commodities purchased information of buyer user is once matched with the merchandise news of seller user, then will once be matched into
The seller user information of work(carries out Secondary Match with the preference seller user information of buyer user；Then successful to Secondary Match
Seller user sends commodities purchased information, includes into the seller user information of a successful match if Secondary Match is unsuccessful
Seller user send commodities purchased information；
The seller user for receiving commodities purchased information sends transaction request information to buyer user；
Buyer user receives and is traded operation with the buyer user for sending out transaction request information after transaction request information.
Embodiment generates the preference seller user information of buyer user based on the data mining to purchaser transaction information,
When buyer carries out procurement of commodities, priority match goes out seller user from preference seller user information, merchandises successfully to facilitate.
The data mining includes the following steps:The Transaction Information is screened according to the rule of setting, generation has
Imitate data；Valid data are analyzed according to the user preference analysis model and transaction analysis model that pre-establish, are generated extremely
Include the result set of the preference seller user information of buyer user less.
The result set further includes buyer's the activity of the user grade, opinion rating and transaction history information.
The Transaction Information of the buyer user and the merchandise news of seller user are from website storage facility located at processing plant and customer relation management
It is obtained in the record data of system.
The commodities purchased information indicating have type of merchandize, commercial specification, commodity amount, delivery method, the delivery time with
And commodity price.
After the buyer user receives transaction request information, the seller user with offer transaction request information is with purchaser
The mode of doing business indicated described in product information is traded operation.
Before buyer user and seller user are traded, buyer user also according to the credit rating of seller user determine whether into
Row transactional operation.Specifically, obtaining the credit information of seller user by the data mining；Alternatively, from other data
System obtains the credit information of seller user.
Claims (8)
1. a kind of commodity network method of commerce, which is characterized in that include the following steps:Obtain transaction buyer user and seller user
Transaction Information, and to Transaction Information carry out data mining obtain buyer user preference seller user information；
The commodities purchased information of buyer user is matched with the merchandise news of seller user, then by the seller of successful match
User matches with the preference seller user information of buyer user, then sends commodities purchased to the seller user of successful match
Information；
The seller user for receiving commodities purchased information sends transaction request information to buyer user；
Buyer user receives and is traded operation with the buyer user for sending out transaction request information after transaction request information.
2. the method as described in claim 1, which is characterized in that the data mining includes the following steps:The transaction is believed
Breath is screened according to the rule of setting, generates valid data；According to the user preference analysis model and transaction point pre-established
Analysis model analyzes valid data, generates the result set of the preference seller user information including at least buyer user.
3. the method as described in claim 2, which is characterized in that the result set further include buyer's the activity of the user grade,
Opinion rating and transaction history information.
4. the method as described in claim 1, which is characterized in that the Transaction Information of the buyer user and the commodity of seller user
Information is obtained from the record data of website storage facility located at processing plant and CRM system.
5. the method as described in claim 1, which is characterized in that the commodities purchased information indicating has type of merchandize, commodity number
Amount, delivery method, delivery time and commodity price.
6. method as claimed in claim 5, which is characterized in that after the buyer user receives transaction request information, and carry
Operation is traded with the mode of doing business indicated described in commodities purchased information for the seller user of transaction request information.
7. method as claimed in claim 6, which is characterized in that before buyer user is traded with seller user, buyer user
Determine whether to be traded operation also according to the credit rating of seller user.
8. the method for claim 7, which is characterized in that the credit rating for obtaining seller user by the data mining is believed
Breath；Alternatively, obtaining the credit information of seller user from other data systems.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810143289.0A CN108470301A (en) | 2018-02-11 | 2018-02-11 | A kind of commodity network method of commerce |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810143289.0A CN108470301A (en) | 2018-02-11 | 2018-02-11 | A kind of commodity network method of commerce |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108470301A true CN108470301A (en) | 2018-08-31 |
Family
ID=63266555
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810143289.0A Pending CN108470301A (en) | 2018-02-11 | 2018-02-11 | A kind of commodity network method of commerce |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108470301A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111127129A (en) * | 2019-03-27 | 2020-05-08 | 杭州拍拍街科技有限公司 | Commodity transaction system and method |
| CN111429214A (en) * | 2020-03-13 | 2020-07-17 | 贝壳技术有限公司 | Transaction data-based buyer and seller matching method and device |
| CN113191753A (en) * | 2021-04-26 | 2021-07-30 | 飞呗科技有限公司 | Game digital asset management method, system and equipment based on block chain |
| CN117495508A (en) * | 2023-11-23 | 2024-02-02 | 网麒科技(北京)有限责任公司 | Multi-data collaborative purchase screening method, device, equipment and storage medium |
-
2018
- 2018-02-11 CN CN201810143289.0A patent/CN108470301A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111127129A (en) * | 2019-03-27 | 2020-05-08 | 杭州拍拍街科技有限公司 | Commodity transaction system and method |
| CN111429214A (en) * | 2020-03-13 | 2020-07-17 | 贝壳技术有限公司 | Transaction data-based buyer and seller matching method and device |
| CN111429214B (en) * | 2020-03-13 | 2023-06-09 | 贝壳技术有限公司 | Transaction data-based buyer and seller matching method and device |
| CN113191753A (en) * | 2021-04-26 | 2021-07-30 | 飞呗科技有限公司 | Game digital asset management method, system and equipment based on block chain |
| CN117495508A (en) * | 2023-11-23 | 2024-02-02 | 网麒科技(北京)有限责任公司 | Multi-data collaborative purchase screening method, device, equipment and storage medium |
| CN117495508B (en) * | 2023-11-23 | 2024-04-30 | 网麒科技(北京)有限责任公司 | Multi-data collaborative purchase screening method, device, equipment and storage medium |
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Legal Events
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| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180831 |