CN115983948A - B2B business transaction system - Google Patents
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Abstract
The invention discloses a B2B business transaction system, which comprises a shop module, a show room module and a data encryption module, and particularly relates to the technical field of electronic information.
Description
Technical Field
The invention relates to the technical field of electronic information, in particular to a B2B business transaction system.
Background
Electronic commerce has been carried out for thirty years, and the industry is mainly divided into private, commercial and government (2C/2B/2G). The early development was in the yellow pages mode, allowing customers to search for business and merchandise information online. When the speed of the server and the broadband of the internet is increased, the electronic commerce starts various operation modes such as the exhibition of an online shop and a shopping cart. The main operation mode is that a supplier puts goods or service information on shelves in advance, and a client selects required goods or services and purchases the goods or services in a shopping cart mode. Meanwhile, the e-commerce industry also develops e-commerce service platforms in different modes such as bargaining/bidding and the like, and the service platform of the type is operated in a mode extending from ERP (enterprise resource planning), so that sellers offer prices of goods or services on the platform, and buyers place orders. Electronic commerce has developed to the present day mainly by using online stores and shopping carts, bargaining and bidding systems, and chat tools to perform online transaction operations. It is important to note that the chat tool is not integrated with the online store and bargaining and bidding system. These decades of electronic commerce technologies have been limited in nature, and the specifications of goods and services are pre-customized, and customers mainly purchase the required quantity or bargain on the trading platform. If there is a particular demand for goods, it is usually negotiated through a chat tool;
however, the existing B2B business transaction system does not integrate the functions of an online store system, a quotation and bidding tool, and a chat, and does not have the ability to identify conversation contents in the process of sample communication between a customer and a provider, and cannot label the conversation contents, and after the conversation is finished, the provider sorts the conversation contents to generate the order form data of the customer, which is not intelligent and efficient, and the order form data of the customer is stored in the system, so that the customer or the provider wants to check the need of applying for access to the system, and the risk of leakage of the order form data storage location occurs due to frequent multiple accesses;
in order to solve the above problems, the present invention proposes a solution.
Disclosure of Invention
The invention aims to provide a B2B business transaction system, which aims to solve the problems that in the prior art, functions of an online shop system, a quotation and bidding tool and chatting are not integrated, the conventional B2B business transaction system does not have the identification capability of conversation content in the process of sample communication between a client and a supplier, the conversation content cannot be subjected to label arrangement, the client or the supplier wants to check the order form data of the client in the system and needs to apply for access to the system, and the storage position of the order form data is exposed frequently and repeatedly.
The purpose of the invention can be realized by the following technical scheme:
a B2B commerce transaction system, comprising:
the system comprises a shop module and a management module, wherein a supplier displays commodities and a client purchases the commodities, and the shop module comprises a purchasing unit, an ordering unit, a supplier commodity library and a purchasing information storage library;
the system comprises a display hall module, a service provider and a service provider, wherein the display hall module is used for ordering samples from the service provider and comprises a storage unit, an item standing unit and an identification unit;
the storage unit is used for storing information data, and the weight ratio of the sample information basic template to all current keyword belonging to each template column is stored in the storage unit; the sample information basic template comprises a plurality of template columns;
the project establishment unit creates an independent window for the client and the supplier to input information therein for conducting discussion of ordering sample details, wherein the information input by the client and the supplier in the independent window can be labeled;
the identification unit extracts keywords from the labeled input information and the unlabeled input information in the input information of the customer and the supplier in the independent window to obtain labeled keyword data and keyword data of the current independent window;
the identification unit generates the label information data of the label keyword data according to a certain priority generation rule, and the identification unit generates the label information data of the keyword data according to a certain generation rule;
the item standing unit generates order information table data and corresponding item numbers corresponding to the independent window according to all label keyword data and label information data of the keyword data of the current independent window;
after the supplier and the client check and modify the order information table data, the item setting unit generates item information data according to the modified order information table data, the item number, the item name and the client information data;
the data encryption module encrypts the project information data according to a certain encryption rule to generate the XOR project information data and the decryption table corresponding to the project information data, and the data encryption module permanently stores the XOR project information data corresponding to the project information data.
Further, the independent windows created by the project unit all have unique 8-bit window identification numbers.
Furthermore, the exhibition hall module also comprises a monitoring unit, and the monitoring unit finds the corresponding independent window according to the unique 8-bit window identification number of the independent window and monitors the information input by the clients and suppliers in the independent window.
Further, the specific priority generation rule of the tag information data for generating the tag keyword data by the identification unit is as follows:
s11: taking the input information of one label of the independent window as an example, creating a direction variable a, and initially setting the direction variable a =1;
s12: searching the tag keyword data in a storage unit as a search condition, if the tag keyword can be searched, acquiring the weight proportion of each template column to which the current tag keyword belongs, and generating bidding information data of the tag keyword according to the template column with the maximum weight proportion of the template column corresponding to the current tag keyword and the bidding variable;
s13: if the tag keyword cannot be searched in all current keywords stored in the storage unit, calculating and acquiring column assignment values D1, D2,. And Dd of the tag keyword corresponding to each template column according to a certain calculation step, wherein D is more than or equal to 1;
s131: taking a template field as an example, acquiring the first n keywords which belong to the template field and have weight ratios larger than b and are stored in a storage unit, wherein b and n are preset threshold values;
s132: respectively calculating and acquiring similarity marks B1, B2, and Bn of the label keyword and the first n keywords by using a cosine similarity calculation formula;
s133: using formulas
C is more than or equal to 1 and less than or equal to n, discrete values C of the similarity between the label keyword and the first n keywords are obtained through calculation, the C and the C1 are compared in size, if the C is more than or equal to the C1, the corresponding Bc values are deleted in sequence from big to small according to the Bc-B | and the discrete values C of the rest Bc are calculated, the C and the C1 are compared in size again until the C is more than or equal to the C1<C1; c1 is a preset threshold value; b is the mean value of the similarity between the label keyword participating in discrete value calculation and the previous n keywords, the similarity is marked as a column sub-attribute value, and the column sub-attribute value is marked as D1;
s134: calculating and acquiring field sub-attribute values D1, D2, a.
And the identification unit generates the bidding information data of the tag keyword according to the template column and the bidding variable a of the tag keyword corresponding to each template column with the maximum membership value.
Further, the specific generation rule of the keyword data targeting information data generated by the identification unit is as follows:
s21: taking an input information which is not labeled in the independent window as an example, extracting a keyword of the current input information and generating pseudo-keyword data, and setting the value of the scalar quantity a to be 0;
s22: searching the pseudo keyword data in a storage unit as a search condition, if the tag keyword can be searched, judging that the input information corresponding to the pseudo keyword data is valid input information, and re-calibrating the pseudo keyword data into keyword data;
s23: acquiring the weight proportion of the keyword data belonging to each template column, and generating bidding information data of the tag keyword according to the template column with the maximum weight proportion of the template column corresponding to the tag keyword and the bidding variable a;
s24: if the pseudo keyword data cannot be searched in all current keywords stored in the storage unit, calculating and acquiring column assignment values G1, G2,. And Gd, wherein the column assignment values G1, G2,. And Gd are larger than or equal to 1, of the pseudo keyword corresponding to each template column;
s25: obtaining column position sub values G1, G2, gd, and marking the maximum value of the Gd as Gmax again;
if Gmax is greater than G, judging that the input information corresponding to the pseudo keyword data is effective input information, and calibrating the pseudo keyword data into keyword data again, wherein G is a preset threshold value;
otherwise, judging that the input information corresponding to the pseudo keyword data is invalid input information;
the identification unit generates the bidding information data of the keyword according to template columns and bidding variables a corresponding to all column scores greater than P1 in the column scores corresponding to the keyword data;
s27: and generating label information data of all input information which is not labeled in the independent window according to S21 to S26.
Further, the specific encryption rule for the data encryption module to encrypt and generate the xor item information data and the decryption table corresponding to the item information data is as follows:
s41: serializing the project information data and converting the project information data into a binary system to generate binary system long numerical data of the project information data;
s42: acquiring the volume of the project information data, serializing the project information data, and converting the project information data into a binary system to generate binary system short numerical data;
s43: the method comprises the following steps of taking binary long value data as an exclusive-or object, taking binary short value data as an exclusive-or scale, and generating exclusive-or item information data and a decryption table corresponding to the exclusive-or item information data according to a certain exclusive-or operation, wherein the specific steps are as follows:
s431: firstly, acquiring a first digit value of binary short numerical value data, marking the first digit value as L1, and respectively carrying out XOR operation on the first digit value and each digit value in the binary long numerical value data;
s432: and according to the step S431, carrying out XOR operation on each digit value in the binary short-digit data and each digit value in the binary long-digit data to obtain the XOR item information data, calibrating the XOR item information data into the XOR item information data again, recording the change times of each digit value in the binary short-digit data converted into the corresponding digit value in the XOR item information data, and generating a decryption table of the XOR item information data according to the change times.
Further, the decryption tables are separately maintained by the client and the provider, respectively.
Further, the item numbers are generated randomly by the system and are 16-bit Arabic numbers.
Further, the details of the ordered sample specifically include the type, picture, quantity, material, process, quality, logistics and price of the sample, and the sample refers to that the parameters of the product are developed or discussed by the buyer and the seller, and the product can not be sold on the shelf of the store until the buyer and the seller approve and confirm the product.
The invention has the beneficial effects that:
(1) According to the invention, the shop module is arranged to provide the customers and the suppliers with commodity transaction, the exhibition hall module is provided for the customers and the suppliers to carry out discussion of ordering commodities, and independent tools such as an online shop system, a quotation and bidding tool, a chat and the like are integrated, so that an easily-used comprehensive B2B business transaction system is established, the communication between the customers and the suppliers is facilitated, and the shopping comfort of the customers is improved;
(2) According to the invention, the independent window is opened up by setting the item setting unit, so that the client and the supplier can conveniently carry out discussion on ordering the samples, the monitoring unit monitors the independent window, the identification unit carries out label keyword extraction and keyword extraction on the information input by the client and the supplier in the independent window, and different template column matching is carried out based on the type of the keyword, so that on one hand, the accuracy of template column matching is improved, on the other hand, the order form generation of the samples is more intelligent, and the process of ordering the commodities by the client is more efficient and convenient;
(3) According to the invention, the data encryption module is arranged to encrypt the project information data of the client to generate the corresponding XOR project information data and the decryption table, the client and the supplier independently store the decryption table, the system only stores the XOR project information data, and only the XOR project information data can be transmitted when the client and the supplier want to check the project information data, so that on one hand, the leakage risk of the decryption table is reduced, on the other hand, the XOR project information data is decrypted through the decryption table, each project has the independent XOR project information data and the decryption table, and the safety and the reliability of the project information data are ensured.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram 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.
As shown in fig. 1, a B2B commerce transaction system includes a shop module, a showroom module, and a data encryption module;
the shop module is used for goods display of a supplier and purchasing of a client, and comprises a purchasing unit, an ordering unit, a supplier goods library and a purchasing information storage library, wherein all current goods of the supplier are stored in the supplier goods library; the commodity refers to a commodity with customized parameters and can be sold on a shelf of a shop directly; in one embodiment of the invention, the partial commodities are only opened to enterprises which are authorized to place orders or view in advance;
the purchasing unit acquires the commodity information purchased by the client, generates purchasing information data of the client and transmits the purchasing information data to the purchasing information storage library for storage;
the ordering unit generates an ordering instruction after acquiring an ordering option selected by a customer and transmits the ordering instruction to the exhibition hall module;
the exhibition hall module is used for ordering samples between a client and a supplier, and comprises an item setting unit, a monitoring unit, an identification unit and a storage unit;
the exhibition hall module receives the ordering instruction transmitted by the ordering unit and then transmits the ordering instruction to the item standing unit, the item standing unit receives the ordering instruction transmitted by the exhibition hall module and then creates independent windows for clients and suppliers to input information in the independent windows for discussing the details of ordered samples, in the embodiment, the independent windows created by the item standing unit all have unique 8-bit window identification numbers, and the item standing unit generates a monitoring instruction according to the window identification number of the currently created independent window and transmits the monitoring instruction to the monitoring unit;
the ordered sample details specifically comprise the type, picture, quantity, material, process, quality, logistics and price of the sample, and the sample refers to that the parameters of the product are developed or discussed according to the buyer and the seller, and can not be sold on the shelf of the store until the buyer and the seller are approved and confirmed;
the storage unit is used for storing information data, and the weight ratio of the sample information basic template to all current keyword belonging to each template column is stored in the storage unit; the sample information basic template comprises a plurality of template fields, and in this embodiment, the template fields in the sample information basic template comprise a sample name, a sample color, a sample type, a sample material, a sample process, a sample quality, a sample logistics and a sample price;
the monitoring unit finds the independent window and monitors the independent window according to the window identification number carried in the monitoring instruction after receiving the monitoring instruction transmitted by the item setting unit, a client in the independent window can label input information, and the monitoring unit generates an identification instruction according to the input information which is currently labeled and transmits the identification instruction to the identification unit after monitoring that the client labels the input information;
the identification unit receives the identification instruction transmitted by the monitoring unit, acquires the input information of the current labeled information carried in the identification unit, and extracts keywords of the input information to acquire the label keyword data of the current labeled information;
the identification unit generates the label information data of the label keyword data according to a certain priority generation rule, which is as follows:
s11: creating a scalar variable a, wherein the initial scalar variable a =1;
s12: searching the tag keyword data in a storage unit as a search condition, if the tag keyword can be searched, acquiring the weight proportion of each template column to which the current tag keyword belongs, and generating bidding information data of the tag keyword according to the template column with the maximum weight proportion of the template column corresponding to the current tag keyword and the bidding variable;
s13: if the tag keyword cannot be searched in all current keywords stored in the storage unit, calculating and obtaining column subordinate values D1, D2,. And Dd of the tag keyword corresponding to each template column according to a certain calculation step, wherein D is more than or equal to 1;
s131: taking a template column as an example, acquiring the first n keywords which belong to the template column and have weight ratios larger than b and are stored in a storage unit, wherein b and n are preset threshold values;
s132: respectively calculating and acquiring similarity marks B1, B2, and Bn of the label keyword and the first n keywords by using a cosine similarity calculation formula;
s133: using a formula
C is more than or equal to 1 and less than or equal to n, discrete values C of the similarity between the label keyword and the first n keywords are obtained through calculation, the C and the C1 are compared in size, if the C is more than or equal to the C1, the corresponding Bc values are deleted in sequence from big to small according to the Bc-B | and the discrete values C of the rest Bc are calculated, the C and the C1 are compared in size again until the C is more than or equal to the C1<C1; c1 is a preset threshold value; b is the label key and the first n key participating in discrete value calculationMarking the reappearance of the mean value of the word similarity as a column assignment value, and marking the reappearance as D1;
s134: calculating and acquiring field sub-attribute values D1, D2, a.
The identification unit generates bidding information data of the tag keyword according to the template column and the bidding variable a of the tag keyword corresponding to each template column with the maximum membership value;
the monitoring unit monitors that the independent window is closed currently, acquires all input information which is not labeled in the independent window currently and transmits the input information to the identification unit;
the identification unit receives all the unlabeled input information of the independent window transmitted by the monitoring unit and then generates the label information data of all the unlabeled input information according to a certain generation rule, which is specifically as follows:
s21: taking an input information of which the independent window is not labeled as an example, extracting keywords of the current input information and generating pseudo keyword data;
s22: setting the value of the scalar quantity a to 0;
s23: searching the pseudo keyword data in a storage unit as a search condition, if the tag keyword can be searched, judging that the input information corresponding to the pseudo keyword data is valid input information, and re-calibrating the pseudo keyword data into keyword data;
s24: acquiring the weight proportion of the keyword data belonging to each template column, and generating bidding information data of the tag keyword according to the template column with the maximum weight proportion of the template column corresponding to the tag keyword and the bidding variable a;
s25: if the pseudo keyword data cannot be searched in all current keywords stored in the storage unit, calculating and obtaining column subordinate values G1, G2, a column subordinate value Gd of each template column corresponding to the pseudo keyword according to a certain calculation step;
s251: taking a template column as an example, acquiring the first n keywords which belong to the template column and have the weight ratio larger than b and are stored in a storage unit;
s252: respectively calculating and obtaining similarity marks E1, E2, and En of the pseudo keyword and the first n keywords by using a cosine similarity calculation formula;
s253: using a formula
F is more than or equal to 1 and less than or equal to n, discrete values F of the similarity between the pseudo keyword and the first n keywords are obtained through calculation, the F and the F1 are compared in size, if the F is more than or equal to the F1, corresponding Ef values are deleted in sequence from large to small according to | Ef-E | and discrete values F of the rest Ef are calculated, the F and the F1 are compared in size again until the F and the E1 are compared in size again until the F is<F1; f1 is a preset threshold; e is the mean value of the similarity between the pseudo keyword and the previous n keywords participating in discrete value calculation, the reappearance of the mean value is calibrated to be a field subordinate value, and the field subordinate value is marked as G1;
s254: calculating and acquiring column affiliated values G1, G2, and Gd of the pseudo keyword corresponding to each template column according to S251 to S253, wherein d is more than or equal to 1;
s26: obtaining the maximum values of the column subordinate values G1, G2, gd and re-marking the maximum values as Gmax;
if Gmax is greater than G, judging that the input information corresponding to the pseudo keyword data is effective input information, and calibrating the pseudo keyword data into keyword data again, wherein G is a preset threshold value;
the identification unit generates bidding information data of the keyword according to template fields and bidding variables a corresponding to all field scores greater than P1 in the field scores corresponding to the keyword data;
s27: generating targeting information data of all input information which is not tagged to the independent window according to S21 to S26;
the identification unit transmits the bidding information data corresponding to the independent window to the item establishment unit, the item establishment unit receives the bidding information data corresponding to the independent window transmitted by the identification unit and then generates order information table data of the current customer according to a certain matching rule in a matching mode, and the specific matching rule is as follows:
s31: obtaining the target information data with the value of 1 of all target variables a in the target information data corresponding to the independent window, and marking the target information data as H1, H2, H, wherein H is more than or equal to 1;
s32: taking a template field in a sample information basic template as an example, acquiring field assignment values of the template field in target information data H1, H2, and Hh, wherein the field assignment values are marked as I1, I2, and I I, and I is more than or equal to 1 and less than or equal to H;
obtaining column assignment values of the template column in the target information data corresponding to the independent window except for target information data H1, H2, and Hh, and marking the column assignment values as J1, J2, and Jj, and J is more than or equal to 1;
s33: comparing and generating the information to be filled in the template column according to a certain comparison step;
s331: obtaining and re-labeling a maximum of I1, I2, ·, ii as Imax, obtaining and re-labeling a maximum of J1, J2,.., jj as Jmax;
calculating and obtaining a peer comparison value K1 of Jmax by using a formula K1= alpha × Jmax, wherein alpha is a preset adjusting coefficient;
s332: if Imax is larger than K1, acquiring keyword data corresponding to Imax and generating information to be filled in the template column according to the keyword data and the template column;
s3333: if Imax is less than or equal to K1, acquiring keyword data corresponding to Jmax and generating information to be filled in the template column according to the keyword data and the template column;
s34: generating information to be filled in all template fields in the sample information basic template according to S32 to S33;
the item setting unit acquires a sample information basic template stored in the storage unit, generates order information table data of a current customer and a corresponding item number according to-be-filled information of all template columns corresponding to the current independent window, and displays the order information table data and the corresponding item number to a supplier and the customer for checking and modifying;
after the supplier and the client check and modify the order information table data, the item setting unit generates item information data according to the modified order information table data, the item number, the item name and the client information data and transmits the item information data to the data encryption module, wherein the client information data comprises the name, the contact way and the address of the client;
the data encryption module encrypts the project information data transmitted by the project establishing unit according to a certain encryption rule after receiving the project information data, wherein the specific encryption rule is as follows:
s41: serializing the project information data and converting the project information data into a binary system to generate binary system long numerical data of the project information data;
s42: acquiring the volume of the project information data, serializing the project information data, and converting the project information data into a binary system to generate binary system short numerical data;
s43: the method comprises the following steps of taking binary long value data as an exclusive-or object, taking binary short value data as an exclusive-or scale, and generating exclusive-or item information data and a decryption table corresponding to the exclusive-or item information data according to a certain exclusive-or operation, wherein the specific steps are as follows:
s431: firstly, acquiring a first digit value of binary short value data, marking the first digit value as L1, and respectively carrying out XOR operation with each digit value in the binary long value data;
s432: according to S431, carrying out XOR operation on each digit value in the binary short-digit data and each digit value in the binary long-digit data to obtain XOR project information data, calibrating the XOR project information data into XOR project information data again, recording the change times of each digit value in the binary short-digit data converted into the corresponding digit value in the XOR project information data, and generating a decryption table of the XOR project information data according to the change times;
the data encryption module permanently stores the XOR project information data, and transmits decryption tables of the XOR project information data to the client and the supplier respectively, and the client and the supplier independently store the decryption tables;
the data encryption module acquires the item names corresponding to the sample information data of the customer and the supplier after acquiring the request for accessing the sample information data sent by the customer and the supplier, acquires the exclusive-or item information data corresponding to the item names and transmits the exclusive-or item information data to the customer and the supplier, and the customer and the supplier decrypt and check the exclusive-or item information data by using the decryption table of the corresponding item exclusive-or item information data.
In the description of the specification, reference to the description of "one embodiment," "an example," "a specific example" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is illustrative and explanatory only and is not intended to be exhaustive or to limit the invention to the precise embodiments described, and various modifications, additions, and substitutions may be made by those skilled in the art without departing from the scope of the invention or exceeding the scope of the claims.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (9)
1. A B2B commerce transaction system, comprising:
the system comprises a shop module and a management module, wherein a supplier displays commodities and a client purchases the commodities, and the shop module comprises a purchasing unit, an ordering unit, a supplier commodity library and a purchasing information storage library;
the system comprises a display hall module, a service provider and a service provider, wherein the display hall module is used for ordering samples from the service provider and comprises a storage unit, an item standing unit and an identification unit;
the storage unit is used for storing information data, and the weight ratio of the sample information basic template to all current keyword belonging to each template column is stored in the storage unit; the sample information basic template comprises a plurality of template columns;
the item setting unit creates an independent window for the client and the supplier to input information therein for the consultation of ordering sample details, and the information input by the client and the supplier in the independent window can be labeled;
the identification unit extracts keywords from the labeled input information and the unlabeled input information in the input information of the customer and the supplier in the independent window to obtain labeled keyword data and keyword data of the current independent window;
the identification unit generates the label information data of the label keyword data according to a certain priority generation rule, and the identification unit generates the label information data of the keyword data according to a certain generation rule;
the item standing unit generates order information table data and corresponding item numbers corresponding to the independent window according to all label keyword data and label information data of the keyword data of the current independent window;
after the supplier and the client check and modify the order information table data, the item setting unit generates item information data according to the modified order information table data, the item number, the item name and the client information data;
the data encryption module encrypts the project information data according to a certain encryption rule to generate the XOR project information data and the decryption table corresponding to the project information data, and the data encryption module permanently stores the XOR project information data corresponding to the project information data.
2. A B2B commerce transaction system as claimed in claim 1, wherein said entity unit creates separate windows each having a unique 8-digit window identification number.
3. The B2B commerce transaction system of claim 2, wherein the exhibition hall module further comprises a listening unit, wherein the listening unit finds the corresponding independent window according to the unique 8-digit window identification number of the independent window and listens to the information inputted by the client and the supplier therein.
4. The B2B business transaction system of claim 1, wherein the specific preferential generation rule of the tag information data for generating the tag keyword data by the identification unit is as follows:
s11: taking the input information of one label of the independent window as an example, creating a direction variable a, and initially setting the direction variable a =1;
s12: retrieving the tag keyword data in a storage unit as a retrieval condition, if the tag keyword can be retrieved, acquiring the weight proportion of each template column to which the current tag keyword belongs, and generating bid oriented information data of the tag keyword according to the template column with the largest weight proportion of the template column corresponding to the current tag keyword and a bid oriented variable;
s13: if the tag keyword cannot be searched in all current keywords stored in the storage unit, calculating and obtaining column subordinate values D1, D2,. And Dd of the tag keyword corresponding to each template column according to a certain calculation step, wherein D is more than or equal to 1;
s131: taking a template field as an example, acquiring the first n keywords which belong to the template field and have weight ratios larger than b and are stored in a storage unit, wherein b and n are preset threshold values;
s132: respectively calculating and acquiring similarity marks B1, B2, and Bn of the label keyword and the first n keywords by using a cosine similarity calculation formula;
s133: using formulas
Calculating to obtain discrete value C of similarity between the label keyword and the first n keywords, comparing C with C1, if C is larger than or equal to C1, deleting corresponding Bc values in turn according to the descending order of the Bc-B | and calculating discrete value C of the rest Bc, and comparing C with C1 again until C is larger than or equal to C1<C1; c1 is a preset threshold value; b is the mean value of the similarity of the label keyword participating in discrete value calculation and the previous n keywords, the reappearance of the similarity is marked as a column assignment value, and the value is marked as D1;
s134: calculating and acquiring field sub-attribute values D1, D2, a.
And the identification unit generates the bidding information data of the tag keyword according to the template column and the bidding variable a of the tag keyword corresponding to each template column with the maximum membership value.
5. The B2B business transaction system of claim 1, wherein the specific generation rule of the keyword data targeting information data generated by the identification unit is as follows:
s21: taking an input information of which the independent window is not labeled as an example, extracting a keyword of the current input information and generating pseudo keyword data, and setting the value of the vector a to be 0;
s22: searching the pseudo keyword data in a storage unit as a search condition, if the tag keyword can be searched, judging that the input information corresponding to the pseudo keyword data is valid input information, and re-calibrating the pseudo keyword data into keyword data;
s23: acquiring the weight proportion of the keyword data belonging to each template column, and generating bidding information data of the tag keyword according to the template column with the maximum weight proportion of the template column corresponding to the tag keyword and the bidding variable a;
s24: if the pseudo keyword data cannot be searched in all current keywords stored in the storage unit, calculating and obtaining column subordination values G1, G2, gd and d which are corresponding to the pseudo keyword in each template column according to a certain calculation step, wherein d is larger than or equal to 1;
s25: obtaining column position sub values G1, G2, gd, and marking the maximum value of the Gd as Gmax again;
if Gmax is greater than G, judging that the input information corresponding to the pseudo keyword data is effective input information, and calibrating the pseudo keyword data into keyword data again, wherein G is a preset threshold value;
otherwise, judging that the input information corresponding to the pseudo keyword data is invalid input information;
the identification unit generates the bidding information data of the keyword according to template columns and bidding variables a corresponding to all column scores greater than P1 in the column scores corresponding to the keyword data;
s27: and generating label information data of all input information which is not labeled in the independent window according to S21 to S26.
6. The B2B business transaction system of claim 1, wherein the data encryption module encrypts the specific encryption rules for generating the xor item information data and the decryption table corresponding to the item information data as follows:
s41: serializing the project information data and converting the project information data into a binary system to generate binary system long numerical data of the project information data;
s42: acquiring the volume of the project information data, serializing the project information data, and converting the project information data into a binary system to generate binary system short numerical data;
s43: the method comprises the following steps of taking the binary long value data as an exclusive-or object, taking the binary short value data as an exclusive-or scale, and generating exclusive-or project information data and a decryption table corresponding to the exclusive-or project information data according to a certain exclusive-or operation, wherein the specific steps are as follows:
s431: firstly, acquiring a first digit value of binary short numerical value data, marking the first digit value as L1, and respectively carrying out XOR operation on the first digit value and each digit value in the binary long numerical value data;
s432: and according to the step S431, carrying out XOR operation on each digit value in the binary short-digit data and each digit value in the binary long-digit data to obtain the XOR item information data, calibrating the XOR item information data into the XOR item information data again, recording the change times of each digit value in the binary short-digit data converted into the corresponding digit value in the XOR item information data, and generating a decryption table of the XOR item information data according to the change times.
7. A B2B commerce transaction system as claimed in claim 6, wherein said decryption tables are independently maintained by the client and the supplier, respectively.
8. The system of claim 1, wherein the item number is a 16 digit number that is generated randomly by the system.
9. The B2B commerce transaction system of claim 1, wherein the details of the ordered sample specifically include type, picture, quantity, material, process, quality, logistics and price of the sample, and the sample means that the parameters of the product are not sold on the shelf until the buyer and seller confirms the approval of the party in the development or discussion of the buyer and seller.
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