CN112330324A - Electronic commerce transaction system based on mobile phone terminal - Google Patents
Electronic commerce transaction system based on mobile phone terminal Download PDFInfo
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- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
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- G06Q30/00—Commerce
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- G06Q30/0601—Electronic shopping [e-shopping]
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- G06Q30/0635—Processing of requisition or of purchase orders
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Abstract
The invention discloses an electronic commerce transaction system based on a mobile phone terminal, which comprises a registration login module, a server, a database, a data acquisition module, a behavior analysis module, a storage module, a display module, a payment order management module, a member grade division module and a payment verification module, wherein the registration login module is used for registering a user to the electronic commerce transaction system; according to the invention, by combining the transaction information of the user and the transaction information of the platform through the behavior analysis module, the category bias value of the user to each category can be obtained based on the transaction information of the user to each product category, and the category position is adjusted based on the category bias value, so that the client stickiness between the user and the e-commerce platform is effectively increased, and the consumption possibility of the user is indirectly increased; and the payment order management arranges the payment orders at the same moment in a descending order according to the processing priority value to generate a processing priority table of the payment orders, wherein the larger the processing priority value is, the shorter the time for waiting for delivery is after the payment of the corresponding user is successful, and better shopping experience is provided for the client.
Description
Technical Field
The invention relates to the technical field of internet application, in particular to an electronic commerce transaction system based on a mobile phone terminal.
Background
With the rapid development of information technology and network economy, electronic commerce is gradually becoming the main business model of enterprises, electronic commerce is developed rapidly nowadays, people can go home without going out, various commercial transaction activities can be carried out only through the Internet, and each large website provides a very convenient platform for merchants and buyers; with the popularization of mobile devices, consumers who browse, shop and inquire through the mobile devices are increasing. The mobile equipment has the convenience of interaction anytime anywhere;
in order to facilitate individual users or enterprise users to find needed products in time, the existing platform often sets a plurality of category modules on a homepage so that the individual users or enterprise users can find the category modules needing shopping in time when needing, and enter the corresponding category modules to carry out specific transaction shopping in a click operation mode, but in the actual application process, the ordering of the category modules set by the e-commerce platform is often fixed, the actual requirements of each user are different, so that the time is consumed when the user searches the category modules needing shopping on the homepage, the shopping efficiency of the user is reduced, and the shopping space is improved;
and after the user purchases and pays successfully on the platform, the user always needs to wait for a plurality of time, the goods can be delivered, along with the popularization of electronic commerce, countless transaction deals exist at each moment on the platform, most of orders paid at the same moment are randomly sequenced and then processed by a transaction system, waiting time of different levels cannot be provided for different customer groups, the standardization of service is reflected, the working efficiency is improved, satisfactory purchasing experience is provided for the customer, and therefore the blank loss of customer resources is caused.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an electronic commerce transaction system based on a mobile phone terminal. According to the invention, by combining the transaction information of the user and the transaction information of the platform through the behavior analysis module, the category bias value QLi of the user to each category can be obtained based on the transaction information analysis of the user to each product category, and the category position is adjusted based on the category bias value QLi, so that the client stickiness of the user and the e-commerce platform is effectively increased, the consumption possibility of the user is indirectly increased, and the transaction efficiency is accelerated; the payment orders at the same moment are arranged in a descending order according to the processing priority value Ds to generate a processing priority table of the payment orders; the larger the processing priority value Ds is, the more the staff preferentially processes the corresponding payment order, the shorter the time for waiting for delivery is after the payment of the corresponding user is successful, the better the shopping experience is, the standardization of service is embodied, the working efficiency is improved, and the loss of customer resources is avoided.
The purpose of the invention can be realized by the following technical scheme: an electronic commerce transaction system based on a mobile phone terminal comprises a registration login module, a server, a database, a data acquisition module, a behavior analysis module, a storage module, a display module, a payment order management module, a member grade division module and a payment verification module;
the registration login module is used for registering and logging in to become a member after a user inputs personal information through a mobile phone terminal, and sending the personal information to the server for storage;
all transaction information of the platform within preset time is stored in the database; the transaction information comprises product category, product name, transaction amount and transaction time;
the data acquisition module is used for acquiring transaction information of a user within preset time and transmitting the transaction information to the server; the server is used for transmitting the transaction information of the user in the preset time to the behavior analysis module, the behavior analysis module is used for receiving and analyzing the transaction information of the user in the preset time, and the specific steps are as follows:
the method comprises the following steps: acquiring transaction information of a user within preset time;
step two: accumulating the transaction amounts of the same category according to the product category to form a category total amount, and then marking the category total amount as F1 i;
accumulating the transaction numbers of the same category according to the product category to form a category total number, and then marking the category total number as F2 i;
accumulating the transaction times of the same category according to the product category to form a category total frequency, and then marking the category total frequency as F3 i; the total amount of the categories F1i, the total amount of the categories F2i and the total frequency of the categories F3i are in one-to-one correspondence;
step three: carrying out weight distribution on the total amount of the categories, the total amount of the categories and the total frequency of the categories, wherein the weight of the total amount of the categories is marked as Z1, the weight of the total amount of the categories is marked as Z2, and the weight of the total frequency of the categories is marked as Z3; wherein Z1+ Z2+ Z3 is 1;
calculating a category attraction value Qi of the user by using a formula Qi-F1 i xZ 1+ F2i xZ 2+ F3i xZ 3;
step four: sorting the transaction time of the same category according to the product category, acquiring the last transaction time of the product category and marking as ZTI; marking the current time of the system as T0;
using formulas
Obtaining a category time effective value f (i); wherein Qi corresponds to f (i); σ and a4 are coefficient factors;
step five: distributing a correction value to the class attraction value and the class time effective value, and marking the correction value of the class attraction value as A1; marking the corrected value of the category time effective value as A2; wherein a1+ a2 is 1;
calculating a category bias value QLi of the user by using a formula QLi ═ Qi × a1+ f (i) × a 2;
step six: the behavior analysis module is used for transmitting the category bias QLi to the server;
the server arranges the product categories in a descending order according to the category bias value QLi, makes a category index table and transmits the category index table to the storage module for storage, and the storage module is used for transmitting the category index table to the display module for real-time display;
if the user has not traded in the product categories within the predetermined time, the category bias QLi is 0; the server retrieves all the transaction information of the platform within the preset time from the database, repeats the second step to the fifth step by taking the product category of which the category deviation value QLi is 0 as an object, obtains the category deviation value of the platform, and sorts the product categories again according to the category deviation value of the platform from large to small.
Further, the payment order management module is used for processing the payment order by the staff, and the specific steps are as follows:
s1: acquiring a plurality of payment orders completing payment at the same time;
s2: acquiring the user member grade of each payment order, setting each member grade to correspond to a member value, matching the user member grade with all the member grades to obtain the member value of the user and marking the member value as Hc;
s3: acquiring a product name, a transaction amount and a transaction amount in a payment order;
marking the transaction quantity of the products in the payment order as an order quantity DS;
marking the transaction amount of the products in the payment order as an order amount DJ;
obtaining an active value of a product in a payment order and marking the active value as GA; the method comprises the following specific steps:
s31: automatically acquiring all transaction information of the product from the database within preset time according to the product name;
s32: accumulating the transaction amounts of the same product name according to the product name to form a total product transaction, and then marking the total product transaction as G1;
accumulating the transaction times of the same product name according to the product name to form a product frequency; label the product frequency as G2; the total product trade G1 corresponds to the product frequency G2 one by one;
s33: carrying out weight distribution on the total product transaction and the product frequency, wherein the weight of the total product transaction is marked as B1, and the weight of the product frequency is marked as B2; wherein B1+ B2 is 1;
calculating an active value GA of the product by using a formula GA-G1 xB 1+ G2 xB 2;
s4: carrying out dequantization processing on the member value, the order quantity, the order amount and the product active value and taking the values;
using formulas
Acquiring a processing priority value Ds of the obtained payment order, wherein c1, c2, c3 and c4 are all preset proportionality coefficients;
s5: arranging the payment orders in a descending order according to the processing priority value Ds to generate a processing priority table of the payment orders;
the payment order management module is used for feeding back a processing priority table to the server; and the server sequentially processes the payment orders according to the sequence positions of the payment orders in the processing priority table.
Further, the member rating classification module is configured to classify the member rating of the user, where a classification rule of the member rating is as follows:
SS 1: acquiring transaction information of a user within preset time;
SS 2: accumulating the transaction times of the same user to form a user total frequency, and marking the user total frequency as Ca;
accumulating the transaction amounts of the same user to form a user total transaction, and marking the user total transaction as Cb;
SS 3: calculating the transaction value CX of the user by using a formula, wherein the specific calculation formula is as follows:
b1, b2 and b3 are all preset proportionality coefficients, b1+ b2+ b3 is 1, and beta is a balance factor and takes the value 0.65564321;
SS 4: setting a plurality of member grades and marking the grades as Km; m is 1, … …, n; k1< K2< … … < Kg;
each member grade corresponds to a preset trading value range which is respectively (k1, k2], … …, (km, km + 1);
and when CX belongs to (Km, Km + 1), the member grade corresponding to the preset transaction value range is Km.
Further, the payment verification module is used for verifying the payment password when the payment password is input on the payment page, and the specific steps are as follows:
WW 1: the user inputs a payment password to carry out payment authentication, wherein the payment password is six digits;
WW 2: acquiring the input time of each character in the payment password and marking the input time as MTiI is 1, …, 6; calculating the time difference of the input time of adjacent numbers to obtain the input interval duration of the numbers, and marking the input interval duration as JTi, JTi-MTi+1-MTi；
WW 3: the total duration of the user's input of the payment code is obtained and labeled as T1, T1-MT6-MT1(ii) a Setting the preset input time length of the payment password as T2, comparing the total time length T1 of the payment password input by the user with the preset input time length T2, and when the T1 is greater than the T2, the payment password is invalid; when T1 is less than or equal to T2, continuing to execute step WW 4;
WW 4: setting the preset input interval duration of the payment password as T3; calculate JTiThe difference from the preset input interval duration T3 results in an interval duration difference WJTiIf all WJTiWhen the difference values are smaller than the preset interval time length difference value, the step WW5 is continuously executed, otherwise, the payment password is invalid;
WW 5: acquiring the pressure of the display screen of the mobile phone when each character in the payment password is input and marking the pressure as YiSetting a preset pressure threshold value CY when characters are input; calculate YiAnd obtaining a pressure difference DYi from the difference value of the preset pressure threshold CY, if all DYi are smaller than the preset pressure difference value, the authentication is successful, and if not, the payment password is invalid.
The invention has the beneficial effects that:
1. the invention receives and analyzes the transaction information of the user within the preset time through the behavior analysis module; obtaining a category bias value QLi of the user through correlation processing; the server arranges the product categories in descending order according to the category bias value QLi and makes a category index table; if the user has not traded in the product categories within the predetermined time, the category bias QLi is 0; the server calls all transaction information of the platform within a preset time from the database, the product categories with the category bias value QLi being 0 are used as objects to be subjected to relevant processing to obtain the category bias value of the platform, and the product categories are sorted again according to the category bias value of the platform from large to small; the client stickiness between the user and the e-commerce platform is effectively increased, the consumption possibility of the user is indirectly increased, and the transaction efficiency is accelerated;
2. the payment order management module processes the payment order, and the payment orders at the same time are arranged in a descending order according to the processing priority value Ds to generate a processing priority table of the payment order; the server processes the payment orders in sequence according to the sequence positions of the payment orders in the processing priority table, the standardization of service is reflected, the working efficiency is improved, and satisfactory purchasing experience is provided for customers, so that the loss of resources of the customers is avoided;
3. according to the invention, the payment verification module verifies the payment password when the payment password is input into the payment page, and multiple verifications are carried out on the input duration of the payment password, the input interval between characters and the pressure during character input, so that the payment password can be effectively prevented from being stolen, and the fund safety is ensured.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system 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, an electronic commerce transaction system based on a mobile phone terminal includes a registration module, a server, a database, a data acquisition module, a behavior analysis module, a storage module, a display module, a payment order management module, a member ranking module, and a payment verification module;
the registration login module is used for registering and logging in to become a member after a user inputs personal information through a mobile phone terminal, and sending the personal information to the server for storage;
all transaction information of the platform within preset time is stored in the database; the transaction information comprises product category, product name, transaction amount and transaction time;
the data acquisition module is used for acquiring transaction information of a user within preset time and transmitting the transaction information to the server; the server is used for transmitting the transaction information of the user in the preset time to the behavior analysis module, the behavior analysis module is used for receiving and analyzing the transaction information of the user in the preset time, and the specific steps are as follows:
the method comprises the following steps: acquiring transaction information of a user within preset time;
step two: accumulating the transaction amounts of the same category according to the product category to form a category total amount, and then marking the category total amount as F1 i;
accumulating the transaction numbers of the same category according to the product category to form a category total number, and then marking the category total number as F2 i;
accumulating the transaction times of the same category according to the product category to form a category total frequency, and then marking the category total frequency as F3 i; the total amount of the categories F1i, the total amount of the categories F2i and the total frequency of the categories F3i are in one-to-one correspondence;
step three: carrying out weight distribution on the total amount of the categories, the total amount of the categories and the total frequency of the categories, wherein the weight of the total amount of the categories is marked as Z1, the weight of the total amount of the categories is marked as Z2, and the weight of the total frequency of the categories is marked as Z3; wherein Z1+ Z2+ Z3 is 1;
calculating a category attraction value Qi of the user by using a formula Qi-F1 i xZ 1+ F2i xZ 2+ F3i xZ 3;
step four: sorting the transaction time of the same category according to the product category, acquiring the last transaction time of the product category and marking as ZTI; marking the current time of the system as T0;
using formulas
Obtaining a category time effective value f (i); wherein Qi corresponds to f (i); σ and a4 are coefficient factors;
step five: distributing a correction value to the class attraction value and the class time effective value, and marking the correction value of the class attraction value as A1; marking the corrected value of the category time effective value as A2; wherein a1+ a2 is 1;
calculating a category bias value QLi of the user by using a formula QLi ═ Qi × a1+ f (i) × a 2;
step six: the behavior analysis module is used for transmitting the category bias QLi to the server;
the server arranges the product categories in a descending order according to the category bias value QLi, makes a category index table and transmits the category index table to the storage module for storage, and the storage module is used for transmitting the category index table to the display module for real-time display;
if the user has not traded in the product categories within the predetermined time, the category bias QLi is 0; the server calls all the transaction information of the platform within the preset time from the database, repeats the second step to the fifth step by taking the product category of which the category deviation value QLi is 0 as an object to obtain the category deviation value of the platform, and sorts the product categories again according to the category deviation value of the platform from big to small;
according to the invention, by combining the transaction information of the user and the transaction information of the platform through the behavior analysis module, the category bias value QLi of the user to each category can be obtained based on the transaction information analysis of the user to each product category, and the category position is adjusted based on the category bias value QLi, so that the client stickiness of the user and the e-commerce platform is effectively increased, the consumption possibility of the user is indirectly increased, and the transaction efficiency is accelerated;
the payment order management module is used for processing a payment order by a worker, and comprises the following specific steps:
s1: acquiring a plurality of payment orders completing payment at the same time;
s2: acquiring the user member grade of each payment order, setting each member grade to correspond to a member value, matching the user member grade with all the member grades to obtain the member value of the user and marking the member value as Hc;
s3: acquiring a product name, a transaction amount and a transaction amount in a payment order;
marking the transaction quantity of the products in the payment order as an order quantity DS;
marking the transaction amount of the products in the payment order as an order amount DJ;
obtaining an active value of a product in a payment order and marking the active value as GA; the method comprises the following specific steps:
s31: automatically acquiring all transaction information of the product from the database within preset time according to the product name;
s32: accumulating the transaction amounts of the same product name according to the product name to form a total product transaction, and then marking the total product transaction as G1;
accumulating the transaction times of the same product name according to the product name to form a product frequency; label the product frequency as G2; the total product trade G1 corresponds to the product frequency G2 one by one;
s33: carrying out weight distribution on the total product transaction and the product frequency, wherein the weight of the total product transaction is marked as B1, and the weight of the product frequency is marked as B2; wherein B1+ B2 is 1;
calculating an active value GA of the product by using a formula GA-G1 xB 1+ G2 xB 2;
s4: carrying out dequantization processing on the member value, the order quantity, the order amount and the product active value and taking the values;
using formulas
Acquiring a processing priority value Ds of the obtained payment order, wherein c1, c2, c3 and c4 are all preset proportionality coefficients;
s5: arranging the payment orders in a descending order according to the processing priority value Ds to generate a processing priority table of the payment orders; the larger the processing priority value Ds is, the more the staff have priority to process the corresponding payment order, and the shorter the time for waiting for delivery is after the payment of the corresponding user is successful, the better the shopping experience is;
the payment order management module is used for feeding back a processing priority table to the server; the server sequentially processes the payment orders according to the sequence positions of the payment orders in the processing priority table;
the member grade dividing module is used for dividing the member grade of the user, and the dividing rule of the member grade is as follows:
SS 1: acquiring transaction information of a user within preset time;
SS 2: accumulating the transaction times of the same user to form a user total frequency, and marking the user total frequency as Ca;
accumulating the transaction amounts of the same user to form a user total transaction, and marking the user total transaction as Cb;
SS 3: calculating the transaction value CX of the user by using a formula, wherein the specific calculation formula is as follows:
b1, b2 and b3 are all preset proportionality coefficients, b1+ b2+ b3 is 1, and beta is a balance factor and takes the value 0.65564321;
SS 4: setting a plurality of member grades and marking the grades as Km; m is 1, … …, n; k1< K2< … … < Kg;
each member grade corresponds to a preset trading value range which is respectively (k1, k2], … …, (km, km + 1);
when CX belongs to (Km, Km + 1), the member grade corresponding to the preset transaction value range is Km;
the payment verification module is used for verifying the payment password when the payment password is input on the payment page, and the specific steps are as follows:
WW 1: the user inputs a payment password to carry out payment authentication, wherein the payment password is six digits;
WW 2: acquiring the input time of each character in the payment password and marking the input time as MTiI is 1, …, 6; calculating the time difference of the input time of adjacent numbers to obtain the input interval duration of the numbers, and marking the input interval duration as JTi, JTi-MTi+1-MTi；
WW 3: the total duration of the user's input of the payment code is obtained and labeled as T1, T1-MT6-MT1(ii) a Setting the preset input time length of the payment password as T2, comparing the total time length T1 of the payment password input by the user with the preset input time length T2, and when the T1 is greater than the T2, the payment password is invalid; when T1 is less than or equal to T2, continuing to execute step WW 4;
WW 4: setting the preset input interval duration of the payment password as T3; calculate JTiThe difference from the preset input interval duration T3 results in an interval duration difference WJTiIf all WJTiWhen the difference values are smaller than the preset interval time length difference value, the step WW5 is continuously executed, otherwise, the payment password is invalid;
WW 5: acquiring the pressure of the display screen of the mobile phone when each character in the payment password is input and marking the pressure as YiSetting a preset pressure threshold value CY when characters are input; calculate YiObtaining a pressure difference DYi from the difference value of the preset pressure threshold CY, if all DYi are smaller than the preset pressure difference value, the authentication is successful, and if not, the payment password is invalid;
the payment password is verified through the payment verification module, so that the payment password can be effectively prevented from being stolen, and the fund security is guaranteed.
When the electronic commerce transaction system based on the mobile phone terminal works, firstly, transaction information of a user in preset time is collected through a data collection module, and a behavior analysis module receives and analyzes the transaction information of the user in the preset time; accumulating the transaction amounts of the same category according to the product category to form a category total amount, accumulating the transaction times of the same category according to the product category to form a category total frequency, performing weight distribution on the category total amount, the category total amount and the category total frequency, respectively calculating a category attraction value Qi of a user by using a formula of F1i xZ 1+ F2i xZ 2+ F3i xZ 3, sequencing the transaction time of the same category according to the product category, acquiring the last transaction time of the product category, and marking the transaction time as ZTI; obtaining a category time-effective value by combining a correlation algorithm; a correction value is assigned to each of the category attraction value and the category effective value, and a category bias value QLi of the user is calculated using a formula QLi of Qi × a1+ f (i) × a 2; the server arranges the product categories in descending order according to the category bias value QLi and makes a category index table;
if the user has not traded in the product categories within the predetermined time, the category bias QLi is 0; the server calls all transaction information of the platform in a preset time from the database, the product category with the category bias value QLi being 0 is used as an object to be combined with a correlation algorithm to obtain the category bias value of the platform, and the product categories are sorted again according to the category bias value of the platform from big to small; according to the invention, by combining the transaction information of the user and the transaction information of the platform through the behavior analysis module, the category bias value QLi of the user to each category can be obtained based on the transaction information analysis of the user to each product category, and the category position is adjusted based on the category bias value QLi, so that the client stickiness of the user and the e-commerce platform is effectively increased, the consumption possibility of the user is indirectly increased, and the transaction efficiency is accelerated;
the payment order management module is used for processing the payment orders by staff and acquiring a plurality of payment orders completing payment at the same time; acquiring the user member grade of each payment order, setting each member grade to correspond to a member value, matching the user member grade with all the member grades to obtain the member value of the user and marking the member value as Hc; acquiring a product name, a transaction amount and a transaction amount in a payment order; marking the transaction quantity of the products in the payment order as an order quantity DS; marking the transaction amount of the products in the payment order as an order amount DJ; obtaining an active value of a product in a payment order and marking the active value as GA; using formulas
Acquiring a processing priority value Ds of the obtained payment order, and performing descending arrangement on the payment order according to the size of the processing priority value Ds to generate a processing priority table of the payment order; the larger the processing priority value Ds is, the more the staff have priority to process the corresponding payment order, and the shorter the time for waiting for delivery is after the payment of the corresponding user is successful, the better the shopping experience is;
the payment verification module is used for verifying the payment password when the payment password is input on the payment page, and multiple verification is carried out on the input duration of the payment password, the input interval between characters and the pressure of character input, so that the payment password can be effectively prevented from being stolen, and the fund safety is guaranteed.
The above formulas are all obtained by collecting a large amount of data to perform software simulation and performing parameter setting processing by corresponding experts, and the formulas are in accordance with real results.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. An electronic commerce transaction system based on a mobile phone terminal is characterized by comprising a registration login module, a server, a database, a data acquisition module, a behavior analysis module, a storage module, a display module, a payment order management module, a member grade division module and a payment verification module;
the registration login module is used for registering and logging in to become a member after a user inputs personal information through a mobile phone terminal, and sending the personal information to the server for storage;
all transaction information of the platform within preset time is stored in the database; the transaction information comprises product category, product name, transaction amount and transaction time;
the data acquisition module is used for acquiring transaction information of a user within preset time and transmitting the transaction information to the server; the server is used for transmitting the transaction information of the user in the preset time to the behavior analysis module, the behavior analysis module is used for receiving and analyzing the transaction information of the user in the preset time, and the specific steps are as follows:
the method comprises the following steps: acquiring transaction information of a user within preset time;
step two: accumulating the transaction amounts of the same category according to the product category to form a category total amount, and then marking the category total amount as F1 i;
accumulating the transaction numbers of the same category according to the product category to form a category total number, and then marking the category total number as F2 i;
accumulating the transaction times of the same category according to the product category to form a category total frequency, and then marking the category total frequency as F3 i; the total amount of the categories F1i, the total amount of the categories F2i and the total frequency of the categories F3i are in one-to-one correspondence;
step three: carrying out weight distribution on the total amount of the categories, the total amount of the categories and the total frequency of the categories, wherein the weight of the total amount of the categories is marked as Z1, the weight of the total amount of the categories is marked as Z2, and the weight of the total frequency of the categories is marked as Z3; wherein Z1+ Z2+ Z3 is 1;
calculating a category attraction value Qi of the user by using a formula Qi-F1 i xZ 1+ F2i xZ 2+ F3i xZ 3;
step four: sorting the transaction time of the same category according to the product category, acquiring the last transaction time of the product category and marking as ZTI; marking the current time of the system as T0;
using formulas
Obtaining a category time effective value f (i); wherein Qi corresponds to f (i); σ and a4 are coefficient factors;
step five: distributing a correction value to the class attraction value and the class time effective value, and marking the correction value of the class attraction value as A1; marking the corrected value of the category time effective value as A2; wherein a1+ a2 is 1;
calculating a category bias value QLi of the user by using a formula QLi ═ Qi × a1+ f (i) × a 2;
step six: the behavior analysis module is used for transmitting the category bias QLi to the server;
the server arranges the product categories in a descending order according to the category bias value QLi, makes a category index table and transmits the category index table to the storage module for storage, and the storage module is used for transmitting the category index table to the display module for real-time display;
if the user has a plurality of product categories which do not have transactions within the preset time, the category bias QLi is 0; the server retrieves all the transaction information of the platform within the preset time from the database, repeats the second step to the fifth step by taking the product category of which the category deviation value QLi is 0 as an object, obtains the category deviation value of the platform, and sorts the product categories again according to the category deviation value of the platform from large to small.
2. The system of claim 1, wherein the payment order management module is configured to process a payment order by a staff member, and the method includes the following steps:
s1: acquiring a plurality of payment orders completing payment at the same time;
s2: acquiring the user member grade of each payment order, setting each member grade to correspond to a member value, matching the user member grade with all the member grades to obtain the member value of the user and marking the member value as Hc;
s3: acquiring a product name, a transaction amount and a transaction amount in a payment order;
marking the transaction quantity of the products in the payment order as an order quantity DS;
marking the transaction amount of the products in the payment order as an order amount DJ;
obtaining an active value of a product in a payment order and marking the active value as GA; the method comprises the following specific steps:
s31: automatically acquiring all transaction information of the product from the database within preset time according to the product name;
s32: accumulating the transaction amounts of the same product name according to the product name to form a total product transaction, and then marking the total product transaction as G1;
accumulating the transaction times of the same product name according to the product name to form a product frequency; label the product frequency as G2; the total product trade G1 corresponds to the product frequency G2 one by one;
s33: carrying out weight distribution on the total product transaction and the product frequency, wherein the weight of the total product transaction is marked as B1, and the weight of the product frequency is marked as B2; wherein B1+ B2 is 1;
calculating an active value GA of the product by using a formula GA-G1 xB 1+ G2 xB 2;
s4: carrying out dequantization processing on the member value, the order quantity, the order amount and the product active value and taking the values;
using formulas
Acquiring a processing priority value Ds of the obtained payment order, wherein c1, c2, c3 and c4 are all preset proportionality coefficients;
s5: arranging the payment orders in a descending order according to the processing priority value Ds to generate a processing priority table of the payment orders;
the payment order management module is used for feeding back a processing priority table to the server; and the server sequentially processes the payment orders according to the sequence positions of the payment orders in the processing priority table.
3. The system of claim 1, wherein the member rating module is configured to rate the member rating of the user according to a rule that:
SS 1: acquiring transaction information of a user within preset time;
SS 2: accumulating the transaction times of the same user to form a user total frequency, and marking the user total frequency as Ca;
accumulating the transaction amounts of the same user to form a user total transaction, and marking the user total transaction as Cb;
SS 3: calculating the transaction value CX of the user by using a formula, wherein the specific calculation formula is as follows:
b1, b2 and b3 are all preset proportionality coefficients, b1+ b2+ b3 is 1, and beta is a balance factor and takes the value 0.65564321;
SS 4: setting a plurality of member grades and marking the grades as Km; m is 1, … …, n; k1< K2< … … < Kg;
each member grade corresponds to a preset trading value range which is respectively (k1, k2], … …, (km, km + 1);
and when CX belongs to (Km, Km + 1), the member grade corresponding to the preset transaction value range is Km.
4. The system of claim 1, wherein the payment authentication module is configured to authenticate the payment password when the payment password is entered on the payment page, and the method includes the following steps:
WW 1: the user inputs a payment password to carry out payment authentication, wherein the payment password is six digits;
WW 2: acquiring the input time of each character in the payment password and marking the input time as MTi, i is 1, …, 6; calculating time difference of input time of adjacent numbers to obtain input interval duration of the numbers, and marking the input interval duration as JTi, wherein JTi is MTi + 1-MTi;
WW 3: acquiring the total time length of the payment password input by the user and marking the total time length as T1, wherein T1 is MT6-MT 1; setting the preset input time length of the payment password as T2, comparing the total time length T1 of the payment password input by the user with the preset input time length T2, and when the T1 is greater than the T2, the payment password is invalid; when T1 is less than or equal to T2, continuing to execute step WW 4;
WW 4: setting the preset input interval duration of the payment password as T3; calculating a difference value between JTi and a preset input interval time length T3 to obtain an interval time length difference WJTi, if all WJTi are smaller than the preset interval time length difference value, continuing to execute the step WW5, and if not, the payment password is invalid;
WW 5: acquiring the pressure of a mobile phone display screen when each character in the payment password is input and marking the pressure as Yi, and setting a preset pressure threshold value CY when the character is input; and calculating the difference between Yi and a preset pressure threshold CY to obtain a pressure difference DYi, if all DYi are smaller than the preset pressure difference, the authentication is successful, and if not, the payment password is invalid.
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| CN202011141446.8A CN112330324A (en) | 2020-10-22 | 2020-10-22 | Electronic commerce transaction system based on mobile phone terminal |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113159509A (en) * | 2021-03-18 | 2021-07-23 | 深圳市元征科技股份有限公司 | Order processing method, system, device and storage medium |
| CN113205326A (en) * | 2021-05-31 | 2021-08-03 | 深圳市聚商鼎力网络技术有限公司 | Order account payment system applied to electronic commerce and use method thereof |
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2020
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113159509A (en) * | 2021-03-18 | 2021-07-23 | 深圳市元征科技股份有限公司 | Order processing method, system, device and storage medium |
| CN113205326A (en) * | 2021-05-31 | 2021-08-03 | 深圳市聚商鼎力网络技术有限公司 | Order account payment system applied to electronic commerce and use method thereof |
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