CN111815414A - Internet sales ordering method, device and system - Google Patents

Abstract

The invention discloses an internet sales ordering method and system, which comprises the steps of firstly determining attribute parameters of a plurality of terminal state information and matching weight values among different terminal state information according to transmission path data and user behavior data, then marking the plurality of terminal state information based on the attribute parameters and the matching weight values, then judging whether operation delay and transmission delay exist in target electronic order information according to a parameter evaluation value of recorded data of user operation behaviors of the target electronic order information under each attribute parameter in the marked terminal state information, finally calculating the actual order generation time of the target electronic order information based on an extracted terminal operation script when the operation delay or the transmission delay exists, and determining the actual order generation time as the time of receiving the target order information. Therefore, the time when the target order information is received can be accurately determined, and the accuracy of ordering by the user terminal is further ensured.

Description

Internet sales ordering method, device and system

Technical Field

The disclosure relates to the technical field of internet e-commerce, in particular to a method, a device and a system for issuing orders through internet sales.

Background

With the rapid development of internet finance, internet sales gradually replace traditional offline sales due to the convenient and flexible operation mode of the internet sales, and become the mainstream sales mode and business mode of the current equipment. The internet sales are mostly realized based on data information interaction between a sales platform server and a user terminal. The user can browse the commodities displayed by the sales platform server through the user terminal and place orders of the selected commodities through the user terminal. In some promotional campaigns, the sales platform server may offer to exempt the first several listed users for some period of time. However, the problem of low accuracy often exists when the sales platform server sequences the order placing time of the received order information.

Disclosure of Invention

In order to solve the problem that ordering time sequencing of order information is inaccurate in the related technology, the invention provides an internet sales ordering method, device and system.

In a first aspect, a method for ordering internet sales is provided, the method comprising:

according to the acquired transmission path data and user behavior data which are uploaded by the user terminal and used for describing the electronic order information, determining attribute parameters of a plurality of pieces of terminal state information to be analyzed and used for identifying the order generation time of the electronic order information, and matching weight values among different pieces of terminal state information;

marking the plurality of terminal state information based on the determined attribute parameters of the plurality of terminal state information and the matching weight values among different terminal state information, so that the parameter evaluation value corresponding to the marked attribute parameters of the terminal state information is larger than a first set value, and the matching weight values among the marked terminal state information are smaller than a second set value; each user behavior data is recorded data of a user operation behavior of the electronic order information, and each transmission path data is network environment change data of the electronic order information;

for any target electronic order information uploaded by the user terminal, judging whether the target electronic order information has operation delay and transmission delay according to a parameter evaluation value of recorded data of user operation behaviors of the target electronic order information under each attribute parameter in the marked terminal state information;

if the operation delay or the transmission delay of the target electronic order information is determined, extracting a terminal running script corresponding to the user terminal when the target electronic order is generated, calculating an actual order generation time corresponding to the target electronic order information based on the terminal running script, and determining the actual order generation time as the time when the target electronic order information is received.

Optionally, calculating an actual order generation time corresponding to the target electronic order information based on the terminal running script specifically includes:

analyzing the terminal running script, and extracting a first script file set corresponding to the terminal running script and used for representing a response delay curve of the user terminal and a second script file set corresponding to the terminal running script and used for representing a network card parameter stability curve of the user terminal; the first script file set and the second script file set respectively comprise a plurality of text code sequences with different text recognition degrees;

determining a compiling logic list of a group of text code sequences of the terminal running script in the first script file set, and determining the text code sequence with the maximum text recognition degree in the second script file set as a reference text code sequence;

embedding the compiled logic list into the reference text code sequence based on a communication transmission record between the user terminal and the sales platform server to obtain a target logic list in the reference text code sequence; generating a file mapping path between the first script file set and the second script file set according to a list matching coefficient between the compiling logic list and the target logic list;

acquiring a current logic list in the reference text code sequence by taking the target logic list as a reference list, and mapping path nodes in a path and connection information of the path nodes according to the file; embedding the current logic list into a text code sequence where the compiling logic list is located, and obtaining a mapping logic list corresponding to the current logic list from the text code sequence where the compiling logic list is located;

determining list sequence features of the compiled logical list in the reference text code sequence; and sequentially extracting order information execution texts corresponding to the target electronic order information in the second script file set based on the correlation coefficients between the mapping logic list and the order fields corresponding to the plurality of logic units in the list sequence characteristic until the priority of the text code sequence of the obtained order information execution texts is consistent with the priority of the compiling logic list in the first script file set, stopping obtaining the order information execution texts, and determining the actual order generation time corresponding to the target electronic order information according to the obtained order information execution texts.

Optionally, determining whether the target electronic order information has an operation delay and a transmission delay according to a parameter evaluation value of the recorded data of the user operation behavior of the target electronic order information under each attribute parameter in the marked terminal state information, specifically including:

acquiring an order signature record of the target electronic order information and a parameter evaluation value of the target electronic order information under each attribute parameter in the marked terminal state information;

if the target electronic order information is determined to contain the dynamic signature set based on the order signature record, determining an evaluation influence factor between each parameter evaluation value of the target electronic order information in a static signature set and each parameter evaluation value of the target electronic order information in the dynamic signature set based on the parameter evaluation value of the target electronic order information in the dynamic signature set and the evaluation weight of the target electronic order information; adjusting a parameter evaluation value corresponding to a maximum evaluation influence factor between parameter evaluation values in the static signature set and the dynamic signature set of the target electronic order information to the dynamic signature set;

if the static signature set corresponding to the target electronic order information contains a plurality of parameter evaluation values, determining an evaluation influence factor of the target electronic order information among the parameter evaluation values of the static signature set according to the parameter evaluation values of the target electronic order information in the dynamic signature set and the evaluation weights thereof, and screening the parameter evaluation values of the static signature set according to the evaluation influence factor among the parameter evaluation values to obtain a plurality of target parameter evaluation values; setting migration levels for a plurality of target parameter evaluation values according to the parameter evaluation values and the evaluation weights of the target electronic order information in the dynamic signature set, and sequentially adjusting each target parameter evaluation value to the dynamic signature set according to the sequence of the migration levels from large to small;

judging whether the number of the parameter evaluation values in the dynamic signature set reaches a set number; and if the number of the parameter evaluation values in the dynamic signature set reaches the set number, judging that the target electronic order information has operation delay and transmission delay.

Optionally, the marking the plurality of terminal state information based on the determined attribute parameters of the plurality of terminal state information and the matching weight values between different terminal state information specifically includes:

determining a state stability coefficient corresponding to each terminal state information determined based on the attribute parameters and the matching weight values;

for each of the steady state coefficients, determining a stability evaluation factor for each steady state coefficient in a target time period based on a first coefficient change trajectory of each steady state coefficient in the target time period and a second coefficient change trajectory of each steady state coefficient in the target time period;

and marking the terminal state information with the stability evaluation factor higher than the set value.

In a second aspect, an internet sales ordering apparatus is provided, the apparatus comprising:

the data acquisition module is used for determining attribute parameters of a plurality of pieces of terminal state information to be analyzed for identifying the order generation time of the electronic order information and matching weight values among different pieces of terminal state information according to the acquired transmission path data and user behavior data which are uploaded by the user terminal and used for describing the electronic order information;

the information marking module is used for marking the plurality of terminal state information based on the determined attribute parameters of the plurality of terminal state information and the matching weight values among different terminal state information, so that the parameter evaluation value corresponding to the marked attribute parameters of the terminal state information is larger than a first set value, and the matching weight values among the marked terminal state information are smaller than a second set value; each user behavior data is recorded data of a user operation behavior of the electronic order information, and each transmission path data is network environment change data of the electronic order information;

a delay judgment module, configured to, for any target electronic order information uploaded by the user terminal, judge whether there is an operation delay and a transmission delay in the target electronic order information according to a parameter evaluation value of recorded data of a user operation behavior of the target electronic order information under each attribute parameter in the marked terminal state information;

and the time determining module is used for extracting a terminal running script corresponding to the user terminal when the target electronic order is generated if the operation delay or the transmission delay of the target electronic order information is determined, calculating the actual order generation time corresponding to the target electronic order information based on the terminal running script, and determining the actual order generation time as the time when the target electronic order information is received.

Optionally, the time determining module is configured to:

analyzing the terminal running script, and extracting a first script file set corresponding to the terminal running script and used for representing a response delay curve of the user terminal and a second script file set corresponding to the terminal running script and used for representing a network card parameter stability curve of the user terminal; the first script file set and the second script file set respectively comprise a plurality of text code sequences with different text recognition degrees;

determining a compiling logic list of a group of text code sequences of the terminal running script in the first script file set, and determining the text code sequence with the maximum text recognition degree in the second script file set as a reference text code sequence;

embedding the compiled logic list into the reference text code sequence based on a communication transmission record between the user terminal and the sales platform server to obtain a target logic list in the reference text code sequence; generating a file mapping path between the first script file set and the second script file set according to a list matching coefficient between the compiling logic list and the target logic list;

acquiring a current logic list in the reference text code sequence by taking the target logic list as a reference list, and mapping path nodes in a path and connection information of the path nodes according to the file; embedding the current logic list into a text code sequence where the compiling logic list is located, and obtaining a mapping logic list corresponding to the current logic list from the text code sequence where the compiling logic list is located;

determining list sequence features of the compiled logical list in the reference text code sequence; and sequentially extracting order information execution texts corresponding to the target electronic order information in the second script file set based on the correlation coefficients between the mapping logic list and the order fields corresponding to the plurality of logic units in the list sequence characteristic until the priority of the text code sequence of the obtained order information execution texts is consistent with the priority of the compiling logic list in the first script file set, stopping obtaining the order information execution texts, and determining the actual order generation time corresponding to the target electronic order information according to the obtained order information execution texts.

Optionally, the delay determining module is configured to:

acquiring an order signature record of the target electronic order information and a parameter evaluation value of the target electronic order information under each attribute parameter in the marked terminal state information;

if the target electronic order information is determined to contain the dynamic signature set based on the order signature record, determining an evaluation influence factor between each parameter evaluation value of the target electronic order information in a static signature set and each parameter evaluation value of the target electronic order information in the dynamic signature set based on the parameter evaluation value of the target electronic order information in the dynamic signature set and the evaluation weight of the target electronic order information; adjusting a parameter evaluation value corresponding to a maximum evaluation influence factor between parameter evaluation values in the static signature set and the dynamic signature set of the target electronic order information to the dynamic signature set;

if the static signature set corresponding to the target electronic order information contains a plurality of parameter evaluation values, determining an evaluation influence factor of the target electronic order information among the parameter evaluation values of the static signature set according to the parameter evaluation values of the target electronic order information in the dynamic signature set and the evaluation weights thereof, and screening the parameter evaluation values of the static signature set according to the evaluation influence factor among the parameter evaluation values to obtain a plurality of target parameter evaluation values; setting migration levels for a plurality of target parameter evaluation values according to the parameter evaluation values and the evaluation weights of the target electronic order information in the dynamic signature set, and sequentially adjusting each target parameter evaluation value to the dynamic signature set according to the sequence of the migration levels from large to small;

judging whether the number of the parameter evaluation values in the dynamic signature set reaches a set number; and if the number of the parameter evaluation values in the dynamic signature set reaches the set number, judging that the target electronic order information has operation delay and transmission delay.

Optionally, the information marking module is configured to:

determining a state stability coefficient corresponding to each terminal state information determined based on the attribute parameters and the matching weight values;

for each of the steady state coefficients, determining a stability evaluation factor for each steady state coefficient in a target time period based on a first coefficient change trajectory of each steady state coefficient in the target time period and a second coefficient change trajectory of each steady state coefficient in the target time period;

and marking the terminal state information with the stability evaluation factor higher than the set value.

In a third aspect, an internet sales ordering system is provided, which comprises a user terminal and a sales platform server;

the user terminal is configured to:

uploading transmission path data and user behavior data for describing electronic order information to the sales platform server;

the sales platform server is configured to:

according to the transmission path data and the user behavior data, determining attribute parameters of a plurality of pieces of terminal state information to be analyzed for identifying the order generation time of the electronic order information and matching weight values among different pieces of terminal state information;

marking the plurality of terminal state information based on the determined attribute parameters of the plurality of terminal state information and the matching weight values among different terminal state information, so that the parameter evaluation value corresponding to the marked attribute parameters of the terminal state information is larger than a first set value, and the matching weight values among the marked terminal state information are smaller than a second set value; each user behavior data is recorded data of a user operation behavior of the electronic order information, and each transmission path data is network environment change data of the electronic order information;

for any target electronic order information uploaded by the user terminal, judging whether the target electronic order information has operation delay and transmission delay according to a parameter evaluation value of recorded data of user operation behaviors of the target electronic order information under each attribute parameter in the marked terminal state information;

if the operation delay or the transmission delay of the target electronic order information is determined, extracting a terminal running script corresponding to the user terminal when the target electronic order is generated, calculating an actual order generation time corresponding to the target electronic order information based on the terminal running script, and determining the actual order generation time as the time when the target electronic order information is received.

Optionally, the calculating, by the sales platform server based on the terminal running script, an actual order generation time corresponding to the target electronic order information specifically includes:

analyzing the terminal running script, and extracting a first script file set corresponding to the terminal running script and used for representing a response delay curve of the user terminal and a second script file set corresponding to the terminal running script and used for representing a network card parameter stability curve of the user terminal; the first script file set and the second script file set respectively comprise a plurality of text code sequences with different text recognition degrees;

determining a compiling logic list of a group of text code sequences of the terminal running script in the first script file set, and determining the text code sequence with the maximum text recognition degree in the second script file set as a reference text code sequence;

embedding the compiled logic list into the reference text code sequence based on a communication transmission record between the user terminal and the sales platform server to obtain a target logic list in the reference text code sequence; generating a file mapping path between the first script file set and the second script file set according to a list matching coefficient between the compiling logic list and the target logic list;

acquiring a current logic list in the reference text code sequence by taking the target logic list as a reference list, and mapping path nodes in a path and connection information of the path nodes according to the file; embedding the current logic list into a text code sequence where the compiling logic list is located, and obtaining a mapping logic list corresponding to the current logic list from the text code sequence where the compiling logic list is located;

determining list sequence features of the compiled logical list in the reference text code sequence; and sequentially extracting order information execution texts corresponding to the target electronic order information in the second script file set based on the correlation coefficients between the mapping logic list and the order fields corresponding to the plurality of logic units in the list sequence characteristic until the priority of the text code sequence of the obtained order information execution texts is consistent with the priority of the compiling logic list in the first script file set, stopping obtaining the order information execution texts, and determining the actual order generation time corresponding to the target electronic order information according to the obtained order information execution texts.

The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects.

Firstly, determining attribute parameters of a plurality of terminal state information and matching weight values among different terminal state information according to transmission path data and user behavior data, then marking a plurality of terminal state information based on the attribute parameters and the matching weight values, then judging whether the target electronic order information has operation delay and transmission delay according to the parameter evaluation value of the recorded data of the user operation behavior of any target electronic order information uploaded by the user terminal under each attribute parameter in the marked terminal state information, finally extracting the corresponding terminal operation script when the user terminal generates the target electronic order when the operation delay or the transmission delay is determined to exist, and calculating the actual order generation time corresponding to the target electronic order information based on the terminal running script, and determining the actual order generation time as the time of receiving the target order information. Therefore, the operation delay and the transmission delay corresponding to the target electronic order information can be analyzed, so that the time when the target order information is received can be accurately determined, and the ordering accuracy of the user terminal can be further ensured.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.

Fig. 1 is a flow chart of an internet sales ordering method.

Fig. 2 is a block diagram of an internet sales ordering apparatus.

Fig. 3 is a schematic diagram of an architecture of an internet sales ordering system.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings.

When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated.

The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

The inventor analyzes an order information processing mode of a sales platform server, and finds that the existing sales platform server generally sorts order information based on the time when the order information is received, however, the mode does not consider the time consumption for generating and uploading the order information at a user terminal side, and if a certain user terminal firstly places an order and uploads the order information within a specified time period, but the sales platform server receives the order information after the specified time period due to a network reason, the sales platform server directly determines the receiving time of the order information to be later than the set time period. This affects the accuracy of ordering.

Therefore, the embodiment of the invention provides an internet sales ordering method, device and system, which can ensure the ordering accuracy of ordering at a user terminal.

Referring to fig. 1, a flowchart of an internet sales ordering method, which may be applied to a sales platform server communicating with a user terminal, is provided, and the method may include the following steps S110 to S140.

Step S110, determining attribute parameters of a plurality of pieces of terminal state information to be analyzed for identifying an order generation time of the electronic order information and matching weight values between different pieces of terminal state information according to the acquired transmission path data and user behavior data for describing the electronic order information uploaded by the user terminal.

Step S120, marking the plurality of terminal state information based on the determined attribute parameters of the plurality of terminal state information and the matching weight values among different terminal state information, so that the parameter evaluation value corresponding to the marked attribute parameters of the terminal state information is larger than a first set value, and the matching weight values among the marked terminal state information are smaller than a second set value; each user behavior data is recorded data of a user operation behavior of the electronic order information, and each transmission path data is network environment change data of the electronic order information.

Step S130, for any target electronic order information uploaded by the user terminal, determining whether the target electronic order information has operation delay and transmission delay according to the parameter evaluation value of the recorded data of the user operation behavior of the target electronic order information under each attribute parameter in the marked terminal state information.

Step S140, if it is determined that the operation delay or the transmission delay exists in the target electronic order information, extracting a terminal running script corresponding to the user terminal when the target electronic order is generated, calculating an actual order generation time corresponding to the target electronic order information based on the terminal running script, and determining the actual order generation time as a time when the target electronic order information is received.

It can be understood that, through the contents described in the above steps S110 to S140, the attribute parameters of the plurality of pieces of terminal state information and the matching weight values between different pieces of terminal state information are determined according to the transmission path data and the user behavior data, then the plurality of pieces of terminal state information are marked based on the attribute parameters and the matching weight values, then whether the operation delay and the transmission delay exist in the target electronic order information is judged according to the parameter evaluation value of the recorded data of the user operation behavior of any piece of target electronic order information uploaded by the user terminal under each attribute parameter in the marked terminal state information, finally when the operation delay or the transmission delay exists is determined, the terminal running script corresponding to the user terminal when the target electronic order is generated is extracted, the actual order generation time corresponding to the target electronic order information is calculated based on the terminal running script, and determining the actual order generation time as the time of receiving the target order information. Therefore, the operation delay and the transmission delay corresponding to the target electronic order information can be analyzed, so that the time when the target order information is received can be accurately determined, and the ordering accuracy of the user terminal can be further ensured.

In a specific implementation process, in order to accurately determine the actual order generation time corresponding to the target electronic order information, the terminal running script needs to be completely analyzed, and for this purpose, the calculating of the actual order generation time corresponding to the target electronic order information based on the terminal running script described in step S140 may specifically include the contents described in steps S141 to S145 below.

Step S141, analyzing the terminal running script, and extracting a first script file set corresponding to the terminal running script and used for representing a response delay curve of the user terminal and a second script file set corresponding to the terminal running script and used for representing a network card parameter stability curve of the user terminal; wherein the first script file set and the second script file set respectively comprise a plurality of text code sequences with different text recognizability.

Step S142, determining a compiling logic list of a group of text code sequences of the terminal running script in the first script file set, and determining the text code sequence with the maximum text recognition in the second script file set as a reference text code sequence.

Step S143, embedding the compiled logic list into the reference text code sequence based on the communication transmission record between the user terminal and the sales platform server, so as to obtain a target logic list in the reference text code sequence; and generating a file mapping path between the first script file set and the second script file set according to a list matching coefficient between the compiling logic list and the target logic list.

Step S144, taking the target logic list as a reference list to obtain a current logic list in the reference text code sequence, and mapping path nodes in a path and connection information of the path nodes according to the file; and embedding the current logic list into a text code sequence where the compiling logic list is located, and obtaining a mapping logic list corresponding to the current logic list from the text code sequence where the compiling logic list is located.

Step S145, determining list sequence characteristics of the compiling logic list in the reference text code sequence; and sequentially extracting order information execution texts corresponding to the target electronic order information in the second script file set based on the correlation coefficients between the mapping logic list and the order fields corresponding to the plurality of logic units in the list sequence characteristic until the priority of the text code sequence of the obtained order information execution texts is consistent with the priority of the compiling logic list in the first script file set, stopping obtaining the order information execution texts, and determining the actual order generation time corresponding to the target electronic order information according to the obtained order information execution texts.

When the contents described in the above steps S141 to S145 are executed, the terminal running script can be completely analyzed, so that the actual order generation time corresponding to the target electronic order information can be accurately determined.

In practical implementation, in order to accurately determine whether the target electronic order information has an operation delay and a transmission delay, the parameter evaluation value of each attribute parameter in the marked terminal status information according to the recorded data of the user operation behavior of the target electronic order information described in step S130 is used to determine whether the target electronic order information has an operation delay and a transmission delay, which may specifically include the contents described in the following steps S131 to S134.

Step S131, acquiring an order signature record of the target electronic order information and a parameter evaluation value of the target electronic order information under each attribute parameter in the marked terminal state information.

Step S132, if it is determined that the target electronic order information contains a dynamic signature set based on the order signature record, determining an evaluation influence factor between each parameter evaluation value of the target electronic order information in a static signature set and each parameter evaluation value of the target electronic order information in the dynamic signature set based on the parameter evaluation value of the target electronic order information in the dynamic signature set and the evaluation weight thereof; and adjusting the parameter evaluation value corresponding to the maximum evaluation influence factor between the parameter evaluation values of the target electronic order information in the static signature set and the dynamic signature set to the dynamic signature set.

Step S133, if the static signature set corresponding to the target electronic order information includes multiple parameter evaluation values, determining an evaluation influence factor between the parameter evaluation values of the target electronic order information in the static signature set according to the parameter evaluation values of the target electronic order information in the dynamic signature set and the evaluation weights thereof, and screening the parameter evaluation values in the static signature set according to the evaluation influence factor between the parameter evaluation values to obtain multiple target parameter evaluation values; and setting migration levels for the plurality of target parameter evaluation values according to the parameter evaluation values and the evaluation weights of the target electronic order information in the dynamic signature set, and sequentially adjusting each target parameter evaluation value to the dynamic signature set according to the sequence of the migration levels from large to small.

Step S134, judging whether the number of the parameter evaluation values in the dynamic signature set reaches a set number; and if the number of the parameter evaluation values in the dynamic signature set reaches the set number, judging that the target electronic order information has operation delay and transmission delay.

When the contents described in the above-described step S131 to step S134 are executed, it is possible to accurately determine whether there is an operation delay and a transmission delay of the target electronic order information.

In one possible embodiment, in order to improve the confidence of the terminal state information tagging, the tagging of the plurality of terminal state information based on the determined attribute parameters of the plurality of terminal state information and the matching weight values between different terminal state information, which is described in step S120, may specifically include the following contents described in step S121 to step S123.

Step S121, determining a state stability coefficient corresponding to each terminal state information determined based on the attribute parameters and the matching weight values.

Step S122, for each of the steady state coefficients, determining a stability evaluation factor of each steady state coefficient in the target time period based on a first coefficient change trajectory of each steady state coefficient in the target time period and a second coefficient change trajectory of each steady state coefficient in the target time period.

And step S123, marking the terminal state information with the stability evaluation factor higher than the set value.

It can be understood that, through the above steps S121 to S123, the confidence of the terminal state information flag can be improved.

In an alternative embodiment, the determining, by the step S110, according to the acquired transmission path data and user behavior data for describing the electronic order information uploaded by the user terminal, attribute parameters of a plurality of pieces of terminal status information to be analyzed for identifying an order generation time of the electronic order information, and a matching weight value between different pieces of terminal status information may specifically include the following contents described in steps S111 to S113.

Step S111, determining the service processing record of the user terminal according to the transmission path data and the user behavior data, listing the data script of each service operation data of the service processing record, and establishing a script file set according to the data script.

Step S112, establishing a conversion list between the terminal state information and the script file set, and generating a state distribution track based on the conversion list; generating a state distribution track based on the conversion list specifically comprises: converting the service operation data corresponding to each terminal state information into a target data format; respectively generating at least one first attribute list of each target data format; acquiring a first attribute list of the service operation data corresponding to each terminal state information, wherein the first attribute list is not repeated to form a second attribute list; and migrating each first attribute list in the second attribute list to the script file set to generate a state distribution track.

Step S113, determining attribute parameters of the terminal state information and matching weight values between different terminal state information based on the state distribution trajectory.

When the contents described in the above steps S111 to S113 are implemented, the attribute parameters of the terminal status information and the matching weight values between different terminal status information can be accurately determined.

On the basis, please refer to fig. 2 in combination, there is provided an internet sales ordering apparatus 200, which includes:

the data acquisition module 210 is configured to determine attribute parameters of a plurality of pieces of terminal state information to be analyzed for identifying an order generation time of the electronic order information and matching weight values between different pieces of terminal state information according to acquired transmission path data and user behavior data, which are uploaded by the user terminal and used for describing the electronic order information;

an information marking module 220, configured to mark the plurality of terminal state information based on the determined attribute parameters of the plurality of terminal state information and matching weight values between different terminal state information, so that a parameter evaluation value corresponding to the marked attribute parameter of the terminal state information is greater than a first set value, and the matching weight value between the marked terminal state information is smaller than a second set value; each user behavior data is recorded data of a user operation behavior of the electronic order information, and each transmission path data is network environment change data of the electronic order information;

a delay determining module 230, configured to determine, for any target electronic order information uploaded by the user terminal, whether there is an operation delay and a transmission delay in the target electronic order information according to a parameter evaluation value of recorded data of a user operation behavior of the target electronic order information under each attribute parameter in the marked terminal state information;

a time determining module 240, configured to, if it is determined that the operation delay or the transmission delay exists in the target electronic order information, extract a terminal running script corresponding to the user terminal when the target electronic order is generated, calculate an actual order generation time corresponding to the target electronic order information based on the terminal running script, and determine the actual order generation time as a time when the target electronic order information is received.

Optionally, the time determining module 240 is configured to:

analyzing the terminal running script, and extracting a first script file set corresponding to the terminal running script and used for representing a response delay curve of the user terminal and a second script file set corresponding to the terminal running script and used for representing a network card parameter stability curve of the user terminal; the first script file set and the second script file set respectively comprise a plurality of text code sequences with different text recognition degrees;

determining a compiling logic list of a group of text code sequences of the terminal running script in the first script file set, and determining the text code sequence with the maximum text recognition degree in the second script file set as a reference text code sequence;

embedding the compiled logic list into the reference text code sequence based on a communication transmission record between the user terminal and the sales platform server to obtain a target logic list in the reference text code sequence; generating a file mapping path between the first script file set and the second script file set according to a list matching coefficient between the compiling logic list and the target logic list;

acquiring a current logic list in the reference text code sequence by taking the target logic list as a reference list, and mapping path nodes in a path and connection information of the path nodes according to the file; embedding the current logic list into a text code sequence where the compiling logic list is located, and obtaining a mapping logic list corresponding to the current logic list from the text code sequence where the compiling logic list is located;

determining list sequence features of the compiled logical list in the reference text code sequence; and sequentially extracting order information execution texts corresponding to the target electronic order information in the second script file set based on the correlation coefficients between the mapping logic list and the order fields corresponding to the plurality of logic units in the list sequence characteristic until the priority of the text code sequence of the obtained order information execution texts is consistent with the priority of the compiling logic list in the first script file set, stopping obtaining the order information execution texts, and determining the actual order generation time corresponding to the target electronic order information according to the obtained order information execution texts.

Optionally, the delay determining module 230 is configured to:

acquiring an order signature record of the target electronic order information and a parameter evaluation value of the target electronic order information under each attribute parameter in the marked terminal state information;

if the target electronic order information is determined to contain the dynamic signature set based on the order signature record, determining an evaluation influence factor between each parameter evaluation value of the target electronic order information in a static signature set and each parameter evaluation value of the target electronic order information in the dynamic signature set based on the parameter evaluation value of the target electronic order information in the dynamic signature set and the evaluation weight of the target electronic order information; adjusting a parameter evaluation value corresponding to a maximum evaluation influence factor between parameter evaluation values in the static signature set and the dynamic signature set of the target electronic order information to the dynamic signature set;

if the static signature set corresponding to the target electronic order information contains a plurality of parameter evaluation values, determining an evaluation influence factor of the target electronic order information among the parameter evaluation values of the static signature set according to the parameter evaluation values of the target electronic order information in the dynamic signature set and the evaluation weights thereof, and screening the parameter evaluation values of the static signature set according to the evaluation influence factor among the parameter evaluation values to obtain a plurality of target parameter evaluation values; setting migration levels for a plurality of target parameter evaluation values according to the parameter evaluation values and the evaluation weights of the target electronic order information in the dynamic signature set, and sequentially adjusting each target parameter evaluation value to the dynamic signature set according to the sequence of the migration levels from large to small;

judging whether the number of the parameter evaluation values in the dynamic signature set reaches a set number; and if the number of the parameter evaluation values in the dynamic signature set reaches the set number, judging that the target electronic order information has operation delay and transmission delay.

Optionally, the information marking module 220 is configured to:

determining a state stability coefficient corresponding to each terminal state information determined based on the attribute parameters and the matching weight values;

for each of the steady state coefficients, determining a stability evaluation factor for each steady state coefficient in a target time period based on a first coefficient change trajectory of each steady state coefficient in the target time period and a second coefficient change trajectory of each steady state coefficient in the target time period;

and marking the terminal state information with the stability evaluation factor higher than the set value.

Based on the same inventive concept, as shown in fig. 3, there is also provided an internet sales ordering system 300, which includes a user terminal 310 and a sales platform server 320;

the user terminal 310 is configured to:

uploading transmission path data and user behavior data for describing electronic order information to the sales platform server;

the sales platform server 320 is configured to:

according to the transmission path data and the user behavior data, determining attribute parameters of a plurality of pieces of terminal state information to be analyzed for identifying the order generation time of the electronic order information and matching weight values among different pieces of terminal state information;

marking the plurality of terminal state information based on the determined attribute parameters of the plurality of terminal state information and the matching weight values among different terminal state information, so that the parameter evaluation value corresponding to the marked attribute parameters of the terminal state information is larger than a first set value, and the matching weight values among the marked terminal state information are smaller than a second set value; each user behavior data is recorded data of a user operation behavior of the electronic order information, and each transmission path data is network environment change data of the electronic order information;

for any target electronic order information uploaded by the user terminal, judging whether the target electronic order information has operation delay and transmission delay according to a parameter evaluation value of recorded data of user operation behaviors of the target electronic order information under each attribute parameter in the marked terminal state information;

if the operation delay or the transmission delay of the target electronic order information is determined, extracting a terminal running script corresponding to the user terminal when the target electronic order is generated, calculating an actual order generation time corresponding to the target electronic order information based on the terminal running script, and determining the actual order generation time as the time when the target electronic order information is received.

Optionally, the calculating, by the sales platform server based on the terminal running script, an actual order generation time corresponding to the target electronic order information specifically includes:

analyzing the terminal running script, and extracting a first script file set corresponding to the terminal running script and used for representing a response delay curve of the user terminal and a second script file set corresponding to the terminal running script and used for representing a network card parameter stability curve of the user terminal; the first script file set and the second script file set respectively comprise a plurality of text code sequences with different text recognition degrees;

determining a compiling logic list of a group of text code sequences of the terminal running script in the first script file set, and determining the text code sequence with the maximum text recognition degree in the second script file set as a reference text code sequence;

embedding the compiled logic list into the reference text code sequence based on a communication transmission record between the user terminal and the sales platform server to obtain a target logic list in the reference text code sequence; generating a file mapping path between the first script file set and the second script file set according to a list matching coefficient between the compiling logic list and the target logic list;

acquiring a current logic list in the reference text code sequence by taking the target logic list as a reference list, and mapping path nodes in a path and connection information of the path nodes according to the file; embedding the current logic list into a text code sequence where the compiling logic list is located, and obtaining a mapping logic list corresponding to the current logic list from the text code sequence where the compiling logic list is located;

determining list sequence features of the compiled logical list in the reference text code sequence; and sequentially extracting order information execution texts corresponding to the target electronic order information in the second script file set based on the correlation coefficients between the mapping logic list and the order fields corresponding to the plurality of logic units in the list sequence characteristic until the priority of the text code sequence of the obtained order information execution texts is consistent with the priority of the compiling logic list in the first script file set, stopping obtaining the order information execution texts, and determining the actual order generation time corresponding to the target electronic order information according to the obtained order information execution texts.

To sum up, the internet sales ordering method and system disclosed by the invention firstly determine the attribute parameters of a plurality of terminal state information and the matching weight values among different terminal state information according to transmission path data and user behavior data, then mark the plurality of terminal state information based on the attribute parameters and the matching weight values, then judge whether the target electronic order information has operation delay and transmission delay according to the parameter evaluation value of the recorded data of the user operation behavior of the target electronic order information under each attribute parameter in the marked terminal state information, finally calculate the actual order generation time of the target electronic order information based on the extracted terminal operation script when the operation delay or the transmission delay is determined, and determine the actual order generation time as the time of receiving the target order information. Therefore, the time when the target order information is received can be accurately determined, and the accuracy of ordering by the user terminal is further ensured.

Claims (10)

1. An internet sales ordering method, comprising:

according to the acquired transmission path data and user behavior data which are uploaded by the user terminal and used for describing the electronic order information, determining attribute parameters of a plurality of pieces of terminal state information to be analyzed and used for identifying the order generation time of the electronic order information, and matching weight values among different pieces of terminal state information;

marking the plurality of terminal state information based on the determined attribute parameters of the plurality of terminal state information and the matching weight values among different terminal state information, so that the parameter evaluation value corresponding to the marked attribute parameters of the terminal state information is larger than a first set value, and the matching weight values among the marked terminal state information are smaller than a second set value; each user behavior data is recorded data of a user operation behavior of the electronic order information, and each transmission path data is network environment change data of the electronic order information;

for any target electronic order information uploaded by the user terminal, judging whether the target electronic order information has operation delay and transmission delay according to a parameter evaluation value of recorded data of user operation behaviors of the target electronic order information under each attribute parameter in the marked terminal state information;

if the operation delay or the transmission delay of the target electronic order information is determined, extracting a terminal running script corresponding to the user terminal when the target electronic order is generated, calculating an actual order generation time corresponding to the target electronic order information based on the terminal running script, and determining the actual order generation time as the time when the target electronic order information is received.

2. The method according to claim 1, wherein calculating an actual order generation time corresponding to the target electronic order information based on the terminal running script specifically comprises:

analyzing the terminal running script, and extracting a first script file set corresponding to the terminal running script and used for representing a response delay curve of the user terminal and a second script file set corresponding to the terminal running script and used for representing a network card parameter stability curve of the user terminal; the first script file set and the second script file set respectively comprise a plurality of text code sequences with different text recognition degrees;

determining a compiling logic list of a group of text code sequences of the terminal running script in the first script file set, and determining the text code sequence with the maximum text recognition degree in the second script file set as a reference text code sequence;

embedding the compiled logic list into the reference text code sequence based on a communication transmission record between the user terminal and the sales platform server to obtain a target logic list in the reference text code sequence; generating a file mapping path between the first script file set and the second script file set according to a list matching coefficient between the compiling logic list and the target logic list;

acquiring a current logic list in the reference text code sequence by taking the target logic list as a reference list, and mapping path nodes in a path and connection information of the path nodes according to the file; embedding the current logic list into a text code sequence where the compiling logic list is located, and obtaining a mapping logic list corresponding to the current logic list from the text code sequence where the compiling logic list is located;

determining list sequence features of the compiled logical list in the reference text code sequence; and sequentially extracting order information execution texts corresponding to the target electronic order information in the second script file set based on the correlation coefficients between the mapping logic list and the order fields corresponding to the plurality of logic units in the list sequence characteristic until the priority of the text code sequence of the obtained order information execution texts is consistent with the priority of the compiling logic list in the first script file set, stopping obtaining the order information execution texts, and determining the actual order generation time corresponding to the target electronic order information according to the obtained order information execution texts.

3. The method according to claim 1, wherein determining whether the target electronic order information has an operation delay and a transmission delay according to a parameter evaluation value of the recorded data of the user operation behavior of the target electronic order information under each attribute parameter in the marked terminal state information specifically comprises:

acquiring an order signature record of the target electronic order information and a parameter evaluation value of the target electronic order information under each attribute parameter in the marked terminal state information;

if the target electronic order information is determined to contain the dynamic signature set based on the order signature record, determining an evaluation influence factor between each parameter evaluation value of the target electronic order information in a static signature set and each parameter evaluation value of the target electronic order information in the dynamic signature set based on the parameter evaluation value of the target electronic order information in the dynamic signature set and the evaluation weight of the target electronic order information; adjusting a parameter evaluation value corresponding to a maximum evaluation influence factor between parameter evaluation values in the static signature set and the dynamic signature set of the target electronic order information to the dynamic signature set;

if the static signature set corresponding to the target electronic order information contains a plurality of parameter evaluation values, determining an evaluation influence factor of the target electronic order information among the parameter evaluation values of the static signature set according to the parameter evaluation values of the target electronic order information in the dynamic signature set and the evaluation weights thereof, and screening the parameter evaluation values of the static signature set according to the evaluation influence factor among the parameter evaluation values to obtain a plurality of target parameter evaluation values; setting migration levels for a plurality of target parameter evaluation values according to the parameter evaluation values and the evaluation weights of the target electronic order information in the dynamic signature set, and sequentially adjusting each target parameter evaluation value to the dynamic signature set according to the sequence of the migration levels from large to small;

judging whether the number of the parameter evaluation values in the dynamic signature set reaches a set number; and if the number of the parameter evaluation values in the dynamic signature set reaches the set number, judging that the target electronic order information has operation delay and transmission delay.

4. The method according to claim 1, wherein the marking the plurality of terminal status information based on the determined attribute parameters of the plurality of terminal status information and matching weight values between different terminal status information specifically comprises:

determining a state stability coefficient corresponding to each terminal state information determined based on the attribute parameters and the matching weight values;

for each of the steady state coefficients, determining a stability evaluation factor for each steady state coefficient in a target time period based on a first coefficient change trajectory of each steady state coefficient in the target time period and a second coefficient change trajectory of each steady state coefficient in the target time period;

and marking the terminal state information with the stability evaluation factor higher than the set value.

5. An internet sales ordering apparatus, comprising:

the data acquisition module is used for determining attribute parameters of a plurality of pieces of terminal state information to be analyzed for identifying the order generation time of the electronic order information and matching weight values among different pieces of terminal state information according to the acquired transmission path data and user behavior data which are uploaded by the user terminal and used for describing the electronic order information;

the information marking module is used for marking the plurality of terminal state information based on the determined attribute parameters of the plurality of terminal state information and the matching weight values among different terminal state information, so that the parameter evaluation value corresponding to the marked attribute parameters of the terminal state information is larger than a first set value, and the matching weight values among the marked terminal state information are smaller than a second set value; each user behavior data is recorded data of a user operation behavior of the electronic order information, and each transmission path data is network environment change data of the electronic order information;

a delay judgment module, configured to, for any target electronic order information uploaded by the user terminal, judge whether there is an operation delay and a transmission delay in the target electronic order information according to a parameter evaluation value of recorded data of a user operation behavior of the target electronic order information under each attribute parameter in the marked terminal state information;

and the time determining module is used for extracting a terminal running script corresponding to the user terminal when the target electronic order is generated if the operation delay or the transmission delay of the target electronic order information is determined, calculating the actual order generation time corresponding to the target electronic order information based on the terminal running script, and determining the actual order generation time as the time when the target electronic order information is received.

6. The apparatus of claim 5, wherein the time determining module is configured to:

analyzing the terminal running script, and extracting a first script file set corresponding to the terminal running script and used for representing a response delay curve of the user terminal and a second script file set corresponding to the terminal running script and used for representing a network card parameter stability curve of the user terminal; the first script file set and the second script file set respectively comprise a plurality of text code sequences with different text recognition degrees;

determining a compiling logic list of a group of text code sequences of the terminal running script in the first script file set, and determining the text code sequence with the maximum text recognition degree in the second script file set as a reference text code sequence;

embedding the compiled logic list into the reference text code sequence based on a communication transmission record between the user terminal and the sales platform server to obtain a target logic list in the reference text code sequence; generating a file mapping path between the first script file set and the second script file set according to a list matching coefficient between the compiling logic list and the target logic list;

acquiring a current logic list in the reference text code sequence by taking the target logic list as a reference list, and mapping path nodes in a path and connection information of the path nodes according to the file; embedding the current logic list into a text code sequence where the compiling logic list is located, and obtaining a mapping logic list corresponding to the current logic list from the text code sequence where the compiling logic list is located;

determining list sequence features of the compiled logical list in the reference text code sequence; and sequentially extracting order information execution texts corresponding to the target electronic order information in the second script file set based on the correlation coefficients between the mapping logic list and the order fields corresponding to the plurality of logic units in the list sequence characteristic until the priority of the text code sequence of the obtained order information execution texts is consistent with the priority of the compiling logic list in the first script file set, stopping obtaining the order information execution texts, and determining the actual order generation time corresponding to the target electronic order information according to the obtained order information execution texts.

7. The apparatus of claim 5, wherein the delay determination module is configured to:

acquiring an order signature record of the target electronic order information and a parameter evaluation value of the target electronic order information under each attribute parameter in the marked terminal state information;

if the target electronic order information is determined to contain the dynamic signature set based on the order signature record, determining an evaluation influence factor between each parameter evaluation value of the target electronic order information in a static signature set and each parameter evaluation value of the target electronic order information in the dynamic signature set based on the parameter evaluation value of the target electronic order information in the dynamic signature set and the evaluation weight of the target electronic order information; adjusting a parameter evaluation value corresponding to a maximum evaluation influence factor between parameter evaluation values in the static signature set and the dynamic signature set of the target electronic order information to the dynamic signature set;

if the static signature set corresponding to the target electronic order information contains a plurality of parameter evaluation values, determining an evaluation influence factor of the target electronic order information among the parameter evaluation values of the static signature set according to the parameter evaluation values of the target electronic order information in the dynamic signature set and the evaluation weights thereof, and screening the parameter evaluation values of the static signature set according to the evaluation influence factor among the parameter evaluation values to obtain a plurality of target parameter evaluation values; setting migration levels for a plurality of target parameter evaluation values according to the parameter evaluation values and the evaluation weights of the target electronic order information in the dynamic signature set, and sequentially adjusting each target parameter evaluation value to the dynamic signature set according to the sequence of the migration levels from large to small;

judging whether the number of the parameter evaluation values in the dynamic signature set reaches a set number; and if the number of the parameter evaluation values in the dynamic signature set reaches the set number, judging that the target electronic order information has operation delay and transmission delay.

8. The apparatus of claim 5, wherein the information tagging module is configured to:

determining a state stability coefficient corresponding to each terminal state information determined based on the attribute parameters and the matching weight values;

for each of the steady state coefficients, determining a stability evaluation factor for each steady state coefficient in a target time period based on a first coefficient change trajectory of each steady state coefficient in the target time period and a second coefficient change trajectory of each steady state coefficient in the target time period;

and marking the terminal state information with the stability evaluation factor higher than the set value.

9. An Internet sales ordering system is characterized by comprising a user terminal and a sales platform server;

the user terminal is configured to:

uploading transmission path data and user behavior data for describing electronic order information to the sales platform server;

the sales platform server is configured to:

according to the transmission path data and the user behavior data, determining attribute parameters of a plurality of pieces of terminal state information to be analyzed for identifying the order generation time of the electronic order information and matching weight values among different pieces of terminal state information;

marking the plurality of terminal state information based on the determined attribute parameters of the plurality of terminal state information and the matching weight values among different terminal state information, so that the parameter evaluation value corresponding to the marked attribute parameters of the terminal state information is larger than a first set value, and the matching weight values among the marked terminal state information are smaller than a second set value; each user behavior data is recorded data of a user operation behavior of the electronic order information, and each transmission path data is network environment change data of the electronic order information;

for any target electronic order information uploaded by the user terminal, judging whether the target electronic order information has operation delay and transmission delay according to a parameter evaluation value of recorded data of user operation behaviors of the target electronic order information under each attribute parameter in the marked terminal state information;

if the operation delay or the transmission delay of the target electronic order information is determined, extracting a terminal running script corresponding to the user terminal when the target electronic order is generated, calculating an actual order generation time corresponding to the target electronic order information based on the terminal running script, and determining the actual order generation time as the time when the target electronic order information is received.

10. The system according to claim 9, wherein the calculating, by the sales platform server, the actual order generation time corresponding to the target electronic order information based on the terminal running script specifically includes:

analyzing the terminal running script, and extracting a first script file set corresponding to the terminal running script and used for representing a response delay curve of the user terminal and a second script file set corresponding to the terminal running script and used for representing a network card parameter stability curve of the user terminal; the first script file set and the second script file set respectively comprise a plurality of text code sequences with different text recognition degrees;

determining a compiling logic list of a group of text code sequences of the terminal running script in the first script file set, and determining the text code sequence with the maximum text recognition degree in the second script file set as a reference text code sequence;

embedding the compiled logic list into the reference text code sequence based on a communication transmission record between the user terminal and the sales platform server to obtain a target logic list in the reference text code sequence; generating a file mapping path between the first script file set and the second script file set according to a list matching coefficient between the compiling logic list and the target logic list;

acquiring a current logic list in the reference text code sequence by taking the target logic list as a reference list, and mapping path nodes in a path and connection information of the path nodes according to the file; embedding the current logic list into a text code sequence where the compiling logic list is located, and obtaining a mapping logic list corresponding to the current logic list from the text code sequence where the compiling logic list is located;

determining list sequence features of the compiled logical list in the reference text code sequence; and sequentially extracting order information execution texts corresponding to the target electronic order information in the second script file set based on the correlation coefficients between the mapping logic list and the order fields corresponding to the plurality of logic units in the list sequence characteristic until the priority of the text code sequence of the obtained order information execution texts is consistent with the priority of the compiling logic list in the first script file set, stopping obtaining the order information execution texts, and determining the actual order generation time corresponding to the target electronic order information according to the obtained order information execution texts.

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