CN116228344B - Bidirectional online transaction method and system - Google Patents
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Abstract
The invention relates to a two-way online transaction method and a two-way online transaction system, in particular to the technical field of electronic commerce, comprising the following steps: the allocation control unit determines whether the goods required by the buyer are in the resource library, the data operation unit determines whether the complete parameters of the goods reach the standard according to the acquired images of the goods when the goods are in the resource library, the screening precision of the goods is corrected when the goods do not reach the standard, and the data operation unit calculates the attention parameters of the buyer to the goods when the goods reach the standard; the allocation control unit judges whether the matching degree of the pushed article information is qualified according to the browsing time length of the buyer, and adjusts the attention parameter when the matching degree is unqualified; the data operation unit calculates the reputation value of the seller, the allocation control unit determines whether to push the article of the seller preferentially according to the comparison result of the reputation value and the preset reputation value, and sends a risk prompt when pushing the article of the seller with the reputation value smaller than the preset reputation value; further improving the efficiency and safety of both sides transaction.
Description
Technical Field
The invention relates to the technical field of electronic commerce, in particular to a two-way online transaction method and a two-way online transaction system.
Background
With the development of national economy, the number of personal idle articles of consumers, namely articles which are generally called as ' secondhand articles ', is increased, and the secondhand transaction platform is also developed at the moment, and with the change of people's life concept, the domestic secondhand transaction platform is also rapidly developed and developed, but in the existing online and offline transaction, the seller and the buyer are not communicated with each other or the time consuming period of the transaction process is long due to the time problem, and the transaction efficiency is low.
Chinese patent publication No.: CN111144981a discloses a method for replacing second-hand articles through network, sellers on a transaction platform can carry out self-recommendation on own articles through the transaction platform, recommend the cost performance and advantages of own articles, search for articles required by the buyers through the transaction platform after obtaining virtual points and virtual currency, search for articles required by the buyers, compare prices, find sellers with proper prices, place orders on the articles on the transaction platform, form a huge circulation platform for idle articles, replace the idle articles in a huge user group of the platform through the functions of the virtual points and the virtual currency, increase the utilization of the articles, enable buyers to replace the articles by logistics and get the articles by going to the gate, deduct a certain proportion of virtual points/virtual currency by going to the gate, and do not need to be correspondingly pumped and freight by the payment platform, so long as the articles can get the articles by going to the gate, no cost or freight is required; it can be seen that the method for replacing the second-hand article network has the problem of low transaction efficiency.
Disclosure of Invention
Therefore, the invention provides a two-way online transaction method and a two-way online transaction system, which are used for solving the problem of low transaction efficiency in the prior art.
In order to achieve the above object, the present invention provides a two-way online transaction method, comprising:
step S1, a deployment control unit determines whether an article required by a buyer exists in a resource library, when the article is determined to be in the resource library, a data operation unit judges whether the complete parameters of the article reach standards according to the image of the article acquired by an acquisition module, when the image of the article does not reach the standards, screening precision of the article is corrected, and when the image of the article does not reach the standards, the data operation unit calculates attention parameters of the buyer to the article;
step S2, the allocation control unit judges whether the matching degree of the pushed article information is qualified according to the browsing time length of the buyer, and adjusts the attention parameter when the matching degree is unqualified;
step S3, the data operation unit calculates the reputation value of the seller, the allocation control unit determines whether to push the article of the seller preferentially according to the comparison result of the reputation value and the preset reputation value, and sends a risk prompt when pushing the article of the seller with the reputation value smaller than the preset reputation value;
when the allocation control unit judges that the complete parameter of the article does not reach the standard, the data operation unit calculates a parameter difference delta W between the complete parameter W and a preset complete parameter W1, a data comparison unit compares the parameter difference with the preset parameter difference, the allocation control unit selects a corresponding correction coefficient to correct the screening precision of the article according to the comparison result,
wherein the allocation control unit is provided with a first preset parameter difference DeltaW 1, a second preset parameter difference DeltaW 2, a first correction coefficient X1, a second correction coefficient X2 and a third correction coefficient X3, wherein DeltaW 1 < DeltaW2, 1 < X2 < X3 < 1.5,
if DeltaW is less than or equal to DeltaW 1, the allocation control unit judges that the first correction coefficient X1 is selected to correct the screening precision of the articles;
if DeltaW 1 < DeltaWis less than or equal to DeltaW 2, the allocation control unit judges that the second correction coefficient X2 is selected to correct the screening precision of the articles;
if DeltaW > DeltaW2, the allocation control unit judges that a third correction coefficient X3 is selected to correct the screening precision of the article;
when the allocation control unit determines that the nth correction coefficient Xn is selected to correct the screening precision of the article, setting the screening precision of the corrected article as V1, setting V1=V0×Xn, wherein VO is the initial screening precision of the article, xn is the correction coefficient of the screening precision, and setting n as 1,2 or 3;
when the allocation control unit judges that the matching degree of the pushed article information is not qualified, the data operation unit calculates a time length difference delta H between the browsing time length H and a preset browsing time length H1, and sets delta H=H2-H, the data comparison unit compares the time length difference with the preset time length difference, the allocation control unit adjusts the attention parameter according to the comparison result,
wherein the allocation control unit is provided with a first preset time length difference delta H1, a second preset time length difference delta H2, a first regulating coefficient K1, a second regulating coefficient K2 and a third regulating coefficient K3, wherein delta H1 < [ delta ] H2, K1 < K2 < K3 < 1.2,
if delta H1 is less than or equal to delta H2, the allocation control unit judges that a first adjustment coefficient K1 is selected to adjust the parameter of interest;
if delta H1 is less than delta H2, the allocation control unit judges that a second adjusting coefficient K2 is selected to adjust the concerned parameter;
if delta H1 > -delta H2, the allocation control unit judges that a third adjustment coefficient K3 is selected to adjust the parameter of interest;
when the allocation control unit determines that the ith adjustment coefficient Ki is selected to adjust the attention parameter, the adjusted attention parameter is set to G1, g1=g0×ki is set, where Ki is the adjustment coefficient of the attention parameter, and i=1, 2,3 is set.
Further, when the acquisition module acquires the basic information of the article uploaded by the seller, the data operation unit is used for classifying the article according to the name information in the basic information of the article and storing the classified article into a resource library of the system;
when the acquisition module acquires the product demand of the buyer for the product, the data operation unit determines the product demand C of the buyer for the product, the data comparison unit compares the product demand with the product C1 in the resource library, the allocation control unit judges whether the product required by the buyer exists in the resource library according to the comparison result,
if C is less than or equal to C1, the allocation control unit judges that the goods required by the buyer are in the resource library;
if C > C1, the allocation control unit judges that the object required by the buyer is not in the resource library.
Further, when the allocation control unit determines that the article required by the seller exists in the resource library, the acquisition module acquires an image of the article, the data operation unit calculates a complete parameter W of the article, and sets w=a/a1+y/Y1, wherein a is a surface area of the article, A1 is a preset surface area, Y is a number of functions of the article that are complete, and Y1 is a number of functions of the article that are complete.
Further, when the data operation unit calculates the complete parameter of the article, the data comparison unit compares the complete parameter W with a preset complete parameter W1, the allocation control unit judges whether the complete parameter of the article meets the standard according to the comparison result,
if W is less than W1, the allocation control unit judges that the complete parameters of the article do not reach the standards;
and if W is more than or equal to W1, the allocation control unit judges that the complete parameters of the article reach standards.
Further, when the allocation control unit determines that the complete parameters of the article reach the standard, the data operation unit is configured to calculate a parameter of interest G0 of the buyer on the article according to the obtained basic information, and set g0=t/t1+m/M1, where T is a use duration of the article, T1 is a preset use duration, M is a price interval of the article, and M1 is a preset price interval.
Further, when the acquisition module acquires the browsing duration of the pushed article by the buyer, the data operation unit determines the browsing duration H, the data comparison unit compares the browsing duration H with the preset browsing duration H1, the allocation control unit determines whether the matching degree of the pushed article information is qualified according to the comparison result,
if H is less than H1, the allocation control unit judges that the matching degree of the pushed article information is not qualified;
and if H is more than or equal to H1, the allocation control unit judges that the matching degree of the pushed article information is qualified.
Further, when the acquiring module acquires the delivery duration of the seller and the return times of the items, the data computing module calculates the reputation value Q of the seller, sets q=u/u1+r/R1, the data comparing unit compares the reputation value Q with a preset reputation value Q1, the allocation control unit determines whether to push the items of the seller preferentially according to the comparison result, wherein U is the delivery duration after the seller receives the order, U1 is the preset delivery duration, R is the return times of the items, R1 is the preset return times,
if Q is less than Q1, the allocation control unit judges that the goods of the seller are not pushed preferentially;
if Q is more than or equal to Q1, the allocation control unit judges that the goods of the seller are pushed preferentially;
and when the allocation control unit determines that the credit value of the seller is smaller than the preset credit value, a risk prompt is sent to the buyer when the article of the seller is pushed.
Further, a system of the two-way online transaction method comprises:
the acquisition module is used for acquiring basic information, delivery time length, item type requirements of the buyer on the items, browsing time length of the items and return times of the items, which are uploaded by the seller;
the analysis module is connected with the acquisition module and comprises a data operation unit for operating the acquired information, a data comparison unit for comparing the product requirements with the product products in the resource library and a blending control unit for analyzing and judging the comparison result;
and the feedback module is connected with the analysis module and used for displaying the article class information in the system.
Compared with the prior art, the method has the beneficial effects that the basic information of the articles uploaded by the seller is obtained, the types of the articles are classified according to the names of the articles and are stored in the resource library, so that whether the articles exist in the resource library or not is quickly judged according to the type requirements of the buyers, the articles are called at any time and pushed to the buyers, and the transaction efficiency of the two parties is further improved;
in particular, when the invention judges that the required goods of the buyer do not exist in the resource library, the goods information of the goods is summarized and fed back and shown in the system so as to find the seller with willingness to sell the goods, thereby further improving the transaction rate.
Further, the invention judges whether the complete parameters of the articles reach the standards or not by calculating the complete parameters of the articles and comparing the complete parameters with the preset complete parameters, and improves the screening precision of the articles when the complete parameters of the articles do not reach the standards, so as to improve the complete parameters of the articles, thereby further improving the transaction efficiency of both parties.
Further, the invention determines the attention parameters of the buyer to the goods through analyzing the using time and the price interval of the goods, and further researches the goods required by the buyer, thereby improving the accuracy of pushing the goods and further improving the efficiency of the transaction of the two parties.
Further, the invention judges whether the matching degree of the pushed article information is qualified or not according to the comparison result of the browsing time length and the preset browsing time length by the buyer, and adjusts the attention parameter when the matching degree is unqualified, thereby further improving the transaction efficiency of the two parties.
Further, the invention calculates the credit value of the seller by analyzing the shipping time length of the seller and the return times of the articles, determines whether to push the articles of the seller preferentially according to the comparison result of the credit value and the preset credit value, and sends a risk prompt to the buyer when the credit value of the seller is determined to be smaller than the preset credit value when the articles of the seller are pushed, thereby further improving the safety of the transaction of the two parties.
Drawings
FIG. 1 is a flow chart of a two-way online transaction method according to the present invention;
FIG. 2 is a logic block diagram of a two-way online transaction system according to the present invention;
fig. 3 is a logic block diagram of an analysis module of the two-way online transaction system according to the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of a two-way online transaction method according to the present invention.
In the implementation of the invention, a two-way online transaction method comprises the following steps:
step S1, a deployment control unit determines whether an article required by a buyer exists in a resource library, when the article is determined to be in the resource library, a data operation unit judges whether the complete parameters of the article reach standards according to the image of the article acquired by an acquisition module, when the image of the article does not reach the standards, screening precision of the article is corrected, and when the image of the article does not reach the standards, the data operation unit calculates attention parameters of the buyer to the article;
step S2, the allocation control unit judges whether the matching degree of the pushed article information is qualified according to the browsing time length of the buyer, and adjusts the attention parameter when the matching degree is unqualified;
and S3, the data operation unit calculates the reputation value of the seller, and the allocation control unit determines whether to push the article of the seller preferentially according to the comparison result of the reputation value and the preset reputation value and sends a risk prompt when pushing the article of the seller with the reputation value smaller than the preset reputation value.
Specifically, when the acquisition module acquires the basic information of the article uploaded by the seller, the data operation unit is used for classifying the article according to the name information in the basic information of the article, and storing the classified article in the resource library of the system.
Specifically, when the acquisition module acquires the product demand of the buyer for the product, the data operation unit determines the product demand C of the buyer for the product, the data comparison unit compares the product demand with the product C1 in the resource library, the allocation control unit determines whether the product required by the buyer exists in the resource library according to the comparison result,
if C is less than or equal to C1, the allocation control unit judges that the goods required by the buyer are in the resource library;
if C > C1, the allocation control unit judges that the object required by the buyer is not in the resource library.
In the embodiment of the invention, when the allocation control unit determines that the required article of the buyer does not exist in the resource library, the feedback module displays the article information of the article in the system so as to find the seller selling the article.
Specifically, when the allocation control unit determines that an article required by a seller exists in a resource library, the acquisition module acquires an image of the article, the data operation unit calculates a complete parameter W of the article, and sets w=a/a1+y/Y1, wherein a is a surface area of the article, A1 is a preset surface area, Y is a number of functions of the article that are complete, and Y1 is a number of functions of the article that are complete.
Specifically, when the data operation unit calculates the complete parameter of the article, the data comparison unit compares the complete parameter W with a preset complete parameter W1, the allocation control unit judges whether the complete parameter of the article meets the standard according to the comparison result,
if W is less than W1, the allocation control unit judges that the complete parameters of the article do not reach the standards;
and if W is more than or equal to W1, the allocation control unit judges that the complete parameters of the article reach standards.
Specifically, when the allocation control unit determines that the complete parameter of the article does not reach the standard, the data operation unit calculates a parameter difference DeltaW between the complete parameter W and a preset complete parameter W1, and sets DeltaW=W1-W, the data comparison unit compares the parameter difference with the preset parameter difference, the allocation control unit selects a corresponding correction coefficient to correct the screening precision of the article according to the comparison result,
wherein the allocation control unit is provided with a first preset parameter difference DeltaW 1, a second preset parameter difference DeltaW 2, a first correction coefficient X1, a second correction coefficient X2 and a third correction coefficient X3, wherein DeltaW 1 < DeltaW2, 1 < X2 < X3 < 1.5,
if DeltaW is less than or equal to DeltaW 1, the allocation control unit judges that the first correction coefficient X1 is selected to correct the screening precision of the articles;
if DeltaW 1 < DeltaWis less than or equal to DeltaW 2, the allocation control unit judges that the second correction coefficient X2 is selected to correct the screening precision of the articles;
if DeltaW > DeltaW2, the allocation control unit judges that a third correction coefficient X3 is selected to correct the screening precision of the article;
when the allocation control unit determines that the nth correction coefficient Xn is selected to correct the screening precision of the article, setting the screening precision of the article after correction to be V1, and setting v1=v0×xn, wherein VO is the initial screening precision of the article, xn is the correction coefficient of the screening precision, and n is set to be 1,2 or 3.
Specifically, when the allocation control unit determines that the complete parameters of the article reach the standard, the data operation unit is configured to calculate a parameter of interest G0 of the purchaser on the article according to the obtained basic information, and set g0=t/t1+m/M1, where T is a use duration of the article, T1 is a preset use duration, M is a price interval of the article, and M1 is a preset price interval.
In the embodiment of the invention, the system screens the objects to push the buyers according to the calculated attention parameters of the buyers to the objects.
Specifically, when the acquisition module acquires the browsing duration of the pushed article by the buyer, the data operation unit determines the browsing duration H, the data comparison unit compares the browsing duration H with the preset browsing duration H1, the allocation control unit determines whether the matching degree of the pushed article information is qualified according to the comparison result,
if H is less than H1, the allocation control unit judges that the matching degree of the pushed article information is not qualified;
and if H is more than or equal to H1, the allocation control unit judges that the matching degree of the pushed article information is qualified.
Specifically, when the allocation control unit determines that the matching degree of the pushed article information is not qualified, the data operation unit calculates a time length difference delta H between the browsing time length H and a preset browsing time length H1, and sets delta H=H2-H, the data comparison unit compares the time length difference with the preset time length difference, the allocation control unit adjusts the attention parameter according to the comparison result,
wherein the allocation control unit is provided with a first preset time length difference delta H1, a second preset time length difference delta H2, a first regulating coefficient K1, a second regulating coefficient K2 and a third regulating coefficient K3, wherein delta H1 < [ delta ] H2, K1 < K2 < K3 < 1.2,
if delta H1 is less than or equal to delta H2, the allocation control unit judges that a first adjustment coefficient K1 is selected to adjust the parameter of interest;
if delta H1 is less than delta H2, the allocation control unit judges that a second adjusting coefficient K2 is selected to adjust the concerned parameter;
if delta H1 > -delta H2, the allocation control unit judges that a third adjustment coefficient K3 is selected to adjust the parameter of interest;
when the allocation control unit determines that the ith adjustment coefficient Ki is selected to adjust the attention parameter, the adjusted attention parameter is set to G1, g1=g0×ki is set, where Ki is the adjustment coefficient of the attention parameter, and i=1, 2,3 is set.
Specifically, when the acquiring module acquires the delivery duration of the seller and the return times of the articles, the data computing module calculates the credit value Q of the seller, sets Q=U/U1+R/R1, the data comparing unit compares the credit value Q with a preset credit value Q1, the allocation control unit judges whether to push the articles of the seller preferentially according to the comparison result, wherein U is the delivery duration after the seller receives the order, U1 is the preset delivery duration, R is the return times of the articles, R1 is the preset return times,
if Q is less than Q1, the allocation control unit judges that the goods of the seller are not pushed preferentially;
if Q is more than or equal to Q1, the allocation control unit judges that the goods of the seller are pushed preferentially.
Specifically, when the allocation control unit determines that the credit value of the seller is smaller than the preset credit value, a risk prompt is sent to the buyer when the article of the seller is pushed.
Referring to fig. 2 and 3, fig. 2 is a logic block diagram of a bidirectional online transaction system according to the present invention; fig. 3 is a logic block diagram of an analysis module of the two-way online transaction system according to the present invention.
In an embodiment of the present invention, a two-way online transaction system includes:
the acquisition module is used for acquiring basic information, delivery time length, item type requirements of the buyer on the items, browsing time length of the items and return times of the items, which are uploaded by the seller;
the analysis module is connected with the acquisition module and comprises a data operation unit for operating the acquired information, a data comparison unit for comparing the product requirements with the product products in the resource library and a blending control unit for analyzing and judging the comparison result;
and the feedback module is connected with the analysis module and used for displaying the article class information in the system.
In the embodiment of the invention, the basic information of the article uploaded by the seller comprises, but is not limited to, the name, image, purpose, using time, purchasing expense, selling expense and the like of the article.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A method of bi-directional online transaction, comprising:
step S1, a deployment control unit determines whether an article required by a buyer exists in a resource library, when the article is determined to be in the resource library, a data operation unit judges whether the complete parameters of the article reach standards according to the image of the article acquired by an acquisition module, when the image of the article does not reach the standards, screening precision of the article is corrected, and when the image of the article does not reach the standards, the data operation unit calculates attention parameters of the buyer to the article;
step S2, the allocation control unit judges whether the matching degree of the pushed article information is qualified according to the browsing time length of the buyer, and adjusts the attention parameter when the matching degree is unqualified;
step S3, the data operation unit calculates the reputation value of the seller, the allocation control unit determines whether to push the article of the seller preferentially according to the comparison result of the reputation value and the preset reputation value, and sends a risk prompt when pushing the article of the seller with the reputation value smaller than the preset reputation value;
when the allocation control unit judges that the complete parameter of the article does not reach the standard, the data operation unit calculates a parameter difference delta W between the complete parameter W and a preset complete parameter W1, a data comparison unit compares the parameter difference with the preset parameter difference, the allocation control unit selects a corresponding correction coefficient to correct the screening precision of the article according to the comparison result,
wherein the allocation control unit is provided with a first preset parameter difference DeltaW 1, a second preset parameter difference DeltaW 2, a first correction coefficient X1, a second correction coefficient X2 and a third correction coefficient X3, wherein DeltaW 1 < DeltaW2, 1 < X2 < X3 < 1.5,
if DeltaW is less than or equal to DeltaW 1, the allocation control unit judges that the first correction coefficient X1 is selected to correct the screening precision of the articles;
if DeltaW 1 < DeltaWis less than or equal to DeltaW 2, the allocation control unit judges that the second correction coefficient X2 is selected to correct the screening precision of the articles;
if DeltaW > DeltaW2, the allocation control unit judges that a third correction coefficient X3 is selected to correct the screening precision of the article;
when the allocation control unit determines that the nth correction coefficient Xn is selected to correct the screening precision of the article, setting the screening precision of the corrected article as V1, setting V1=V0×Xn, wherein VO is the initial screening precision of the article, xn is the correction coefficient of the screening precision, and setting n as 1,2 or 3;
when the allocation control unit judges that the matching degree of the pushed article information is not qualified, the data operation unit calculates a time length difference delta H between the browsing time length H and a preset browsing time length H1, and sets delta H=H2-H, the data comparison unit compares the time length difference with the preset time length difference, the allocation control unit adjusts the attention parameter according to the comparison result,
wherein the allocation control unit is provided with a first preset time length difference delta H1, a second preset time length difference delta H2, a first regulating coefficient K1, a second regulating coefficient K2 and a third regulating coefficient K3, wherein delta H1 < [ delta ] H2, K1 < K2 < K3 < 1.2,
if delta H1 is less than or equal to delta H2, the allocation control unit judges that a first adjustment coefficient K1 is selected to adjust the parameter of interest;
if delta H1 is less than delta H2, the allocation control unit judges that a second adjusting coefficient K2 is selected to adjust the concerned parameter;
if delta H1 > -delta H2, the allocation control unit judges that a third adjustment coefficient K3 is selected to adjust the parameter of interest;
when the allocation control unit determines that the ith adjustment coefficient Ki is selected to adjust the attention parameter, the adjusted attention parameter is set to G1, g1=g0×ki is set, where Ki is the adjustment coefficient of the attention parameter, and i=1, 2,3 is set.
2. The two-way online transaction method according to claim 1, wherein when the acquisition module acquires the basic information of the article uploaded by the seller, the data operation unit is configured to classify the article according to the name information in the basic information of the article, and store the classified article in a resource library of the system;
when the acquisition module acquires the product demand of the buyer for the product, the data operation unit determines the product demand C of the buyer for the product, the data comparison unit compares the product demand with the product C1 in the resource library, the allocation control unit judges whether the product required by the buyer exists in the resource library according to the comparison result,
if C is less than or equal to C1, the allocation control unit judges that the goods required by the buyer are in the resource library;
if C > C1, the allocation control unit judges that the object required by the buyer is not in the resource library.
3. The two-way online transaction method according to claim 2, wherein when the deployment control unit determines that an item required by a seller exists in a resource pool, the acquisition module acquires an image of the item, the data operation unit calculates a complete parameter W of the item, and sets w=a/a1+y/Y1, wherein a is a surface area of the item, A1 is a preset surface area, Y is a number of functions of the item that are intact, and Y1 is a number of functions of the item that are intact that are preset.
4. The method for two-way online transaction according to claim 3, wherein when the data operation unit calculates the complete parameter of the article, the data comparison unit compares the complete parameter W with a preset complete parameter W1, the allocation control unit determines whether the complete parameter of the article meets the standard according to the comparison result,
if W is less than W1, the allocation control unit judges that the complete parameters of the article do not reach the standards;
and if W is more than or equal to W1, the allocation control unit judges that the complete parameters of the article reach standards.
5. The two-way online transaction method according to claim 4, wherein when the allocation control unit determines that the complete parameter of the item meets the standard, the data operation unit is configured to calculate a attention parameter G0 of the buyer to the item according to the acquired basic information, and set g0=t/t1+m/M1, where T is a use duration of the item, T1 is a preset use duration, M is a price interval of the item, and M1 is a preset price interval.
6. The method according to claim 5, wherein when the acquisition module acquires the browsing duration of the pushed item by the buyer, the data operation unit determines the browsing duration H, the data comparison unit compares the browsing duration H with a preset browsing duration H1, the allocation control unit determines whether the matching degree of the pushed item information is qualified according to the comparison result,
if H is less than H1, the allocation control unit judges that the matching degree of the pushed article information is not qualified;
and if H is more than or equal to H1, the allocation control unit judges that the matching degree of the pushed article information is qualified.
7. The method according to claim 6, wherein when the acquiring module acquires the shipping duration of the seller and the return number of the item, the data computing module calculates the reputation value Q of the seller, sets q=u/u1+r/R1, the data comparing unit compares the reputation value Q with a preset reputation value Q1, the deployment control unit determines whether to push the item of the seller preferentially according to the comparison result, wherein U is the shipping duration after the seller receives the order, U1 is the preset shipping duration, R is the return number of the item, R1 is the preset return number,
if Q is less than Q1, the allocation control unit judges that the goods of the seller are not pushed preferentially;
if Q is more than or equal to Q1, the allocation control unit judges that the goods of the seller are pushed preferentially;
and when the allocation control unit determines that the credit value of the seller is smaller than the preset credit value, a risk prompt is sent to the buyer when the article of the seller is pushed.
8. A system for a two-way online transaction method according to any of claims 1-7 which includes:
the acquisition module is used for acquiring basic information, delivery time length, item type requirements of the buyer on the items, browsing time length of the items and return times of the items, which are uploaded by the seller;
the analysis module is connected with the acquisition module and comprises a data operation unit for operating the acquired information, a data comparison unit for comparing the product requirements with the product products in the resource library and a blending control unit for analyzing and judging the comparison result;
and the feedback module is connected with the analysis module and used for displaying the article class information in the system.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020058128A (en) * | 2000-12-29 | 2002-07-12 | 이세리 | Interactive method and apparatus for trading merchandise |
| CN101162520A (en) * | 2007-11-15 | 2008-04-16 | 三峡大学 | Interactive searching type on-line trading platform |
| CN111898029A (en) * | 2020-08-07 | 2020-11-06 | 姚春丽 | Internet-based online shopping product recommendation system |
| CN112488804A (en) * | 2020-12-17 | 2021-03-12 | 陈桂波 | Electronic commerce system based on big data cloud platform |
| CN112598474A (en) * | 2020-12-28 | 2021-04-02 | 江苏金迪木业股份有限公司 | Internet-of-things home door online transaction system |
| CN114331621A (en) * | 2021-12-29 | 2022-04-12 | 深圳市博源电子商务有限公司 | Network platform shopping item recommendation method based on block chain sharing analysis |
-
2022
- 2022-12-06 CN CN202211554628.7A patent/CN116228344B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020058128A (en) * | 2000-12-29 | 2002-07-12 | 이세리 | Interactive method and apparatus for trading merchandise |
| CN101162520A (en) * | 2007-11-15 | 2008-04-16 | 三峡大学 | Interactive searching type on-line trading platform |
| CN111898029A (en) * | 2020-08-07 | 2020-11-06 | 姚春丽 | Internet-based online shopping product recommendation system |
| CN112488804A (en) * | 2020-12-17 | 2021-03-12 | 陈桂波 | Electronic commerce system based on big data cloud platform |
| CN112598474A (en) * | 2020-12-28 | 2021-04-02 | 江苏金迪木业股份有限公司 | Internet-of-things home door online transaction system |
| CN114331621A (en) * | 2021-12-29 | 2022-04-12 | 深圳市博源电子商务有限公司 | Network platform shopping item recommendation method based on block chain sharing analysis |
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