CN112712358B - Recommendation method and device for non-inductive payment mode and terminal equipment - Google Patents
Recommendation method and device for non-inductive payment mode and terminal equipment Download PDFInfo
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Abstract
The application is applicable to the technical field of computers, and provides a recommendation method, a recommendation device and a recommendation terminal device for a non-inductive payment mode, wherein the method comprises the following steps: acquiring historical parking payment information of a user in a historical time period; determining whether the user is a target user or not based on the historical parking payment information, wherein the target user is a potential user of a non-inductive payment mode; if the user is the target user, recommending the non-inductive payment mode to the target user; according to the method, the potential users of the non-inductive payment are screened out through the historical parking payment information, then the non-inductive payment mode is recommended to the potential users in a targeted mode, and the probability of successful recommendation can be effectively improved through recommending the non-inductive payment mode to the potential users, namely the probability of using the non-inductive payment mode is improved.
Description
Technical Field
The application belongs to the technical field of computers, and particularly relates to a recommendation method, device and terminal equipment of a non-inductive payment mode.
Background
The non-inductive payment is a parking payment function pushed out by financial institutions such as a payment bank, a WeChat, a China Unionpay, a construction bank and the like, and is a quick payment service realized by binding a parking lot license plate recognition technology with a financial account. The non-inductive payment mode adopts automatic payment, and the payment is automatically deducted after the user leaves the parking lot, so that the step of queuing and paying at the exit of the parking lot by the user is omitted, and the user can leave the parking lot more quickly.
However, at present, fewer users pay by using the non-inductive payment mode, and if more vehicles need to leave the parking lot at the same moment, the users using the non-inductive payment mode still need to wait in line for the front vehicles to pay before leaving. Therefore, the use ratio of the non-inductive payment mode is improved, the payment time is reduced, the queuing waiting time of the user can be reduced, and the user can leave the parking lot rapidly.
Disclosure of Invention
The embodiment of the application provides a recommendation method, a recommendation device and terminal equipment for a non-inductive payment mode, which can solve the problem of low utilization rate of the existing non-inductive payment mode.
In a first aspect, an embodiment of the present application provides a recommendation method for a non-inductive payment method, including:
Acquiring historical parking payment information of a user in a historical time period;
Determining whether the user is a target user or not based on the historical parking payment information, wherein the target user is a potential user of a non-inductive payment mode;
and if the user is the target user, recommending the non-inductive payment mode to the target user.
In a second aspect, an embodiment of the present application provides a recommendation apparatus for a non-inductive payment method, including:
The information acquisition module is used for acquiring historical parking payment information of a user in a historical time period;
the screening module is used for determining whether the user is a target user or not based on the historical parking payment information, wherein the target user is a potential user of a non-inductive payment mode;
And the recommending module is used for recommending the non-inductive payment mode to the target user if the user is the target user.
In a third aspect, an embodiment of the present application provides a terminal device, including: a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the recommendation method of the non-inductive payment method according to any one of the above first aspects when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, where a computer program is stored, where the computer program when executed by a processor implements the recommendation method for a non-inductive payment method according to any one of the first aspects.
In a fifth aspect, an embodiment of the present application provides a computer program product, which when run on a terminal device, causes the terminal device to perform the recommendation method of the non-inductive payment method according to any one of the first aspects.
It will be appreciated that the advantages of the second to fifth aspects may be found in the relevant description of the first aspect, and are not described here again.
Compared with the prior art, the embodiment of the application has the beneficial effects that: firstly, acquiring historical parking payment information, then determining whether a user is a potential user of a non-inductive payment mode according to the historical parking payment information, and recommending the non-inductive payment mode to the user if the user is the potential user of the non-inductive payment mode; according to the application, the potential users of the non-inductive payment are screened out through the historical parking payment information, then the non-inductive payment mode is recommended to the potential users in a targeted manner, and the probability of successful recommendation can be effectively improved through recommending the non-inductive payment mode to the potential users, namely the probability of using the non-inductive payment mode is improved, and the payment efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is an application scenario schematic diagram of a recommendation method of a non-inductive payment method according to an embodiment of the present application;
FIG. 2 is a flow chart of a recommendation method of a non-inductive payment method according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating a method for determining a target user in step S102 of FIG. 2 according to an embodiment of the present application;
FIG. 4 is a flowchart of a method for determining a target user in step S1025 of FIG. 3 according to an embodiment of the present application;
FIG. 5 is a flow chart illustrating verification of a recommendation method for non-inductive payments according to an embodiment of the present application;
FIG. 6 is a flowchart illustrating a method for determining validity of a recommendation method for non-inductive payment according to an embodiment of the present application;
fig. 7 is a flowchart of a method for determining a potential user in a non-inductive payment manner C according to an embodiment of the present application;
FIG. 8 is a schematic diagram of a recommendation device for a non-inductive payment method according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in the present description and the appended claims, the term "if" may be interpreted in context as "when … …" or "once" or "in response to a determination" or "in response to detection. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
Furthermore, the terms "first," "second," "third," and the like in the description of the present specification and in the appended claims, are used for distinguishing between descriptions and not necessarily for indicating or implying a relative importance.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
Fig. 1 is an application scenario schematic diagram of a recommendation method of a non-inductive payment method according to an embodiment of the present application, where the recommendation method of a non-inductive payment method may be used to recommend a non-inductive payment method to a user. The storage device 10 is used for storing historical parking payment information of a user, the processor 20 is used for acquiring the historical parking payment information from the storage device 10, analyzing the historical parking payment information, further determining whether to recommend a non-inductive payment mode to the user, and recommending the non-inductive payment mode to the user when determining that the non-inductive payment mode needs to be recommended to the user.
The following describes a recommendation method of the non-inductive payment method according to the embodiment of the present application in detail with reference to fig. 1.
Fig. 2 shows a schematic flow chart of a recommendation method of a non-inductive payment method provided by the application, and referring to fig. 2, the method is described in detail as follows:
s101, acquiring historical parking payment information of a user in a historical time period.
In this embodiment, the history period may be half a year, one year, or two years, and may be set as needed.
The historical parking payment information may include payment means, usage time of the payment means, payment place, payment amount, and the like.
The historical parking payment information can be obtained from a payment bill of the user, and can also be obtained from a storage device storing the parking payment information. After parking payment, the user uniformly sends the parking payment information to the storage device for storage, and the historical parking payment information is directly obtained from the storage device when the historical parking payment information is required to be obtained.
S102, determining whether the user is a target user or not based on the historical parking payment information, wherein the target user is a potential user of a non-inductive payment mode.
In this embodiment, the historical parking payment information may be analyzed, and whether the user is a potential user in a non-inductive payment manner may be determined through the historical parking payment information. A potential user of a non-inductive pay mode refers to a user who is likely to pay using the non-inductive pay mode.
And S103, if the user is the target user, recommending the non-inductive payment mode to the target user.
In this embodiment, if the user is a potential user of the non-inductive payment method, the non-inductive payment method may be recommended to the user. Recommending the non-inductive payment mode to the user can comprise sending the introduction of the non-inductive payment mode to the user, or when the user parks to pay, the user can select whether to pay by using the non-inductive payment mode, the user can be directly inquired whether to open the non-inductive payment mode, and the like, and the setting can be carried out according to the needs.
In the embodiment of the application, the historical parking payment information is firstly obtained, then whether the user is a potential user of the non-inductive payment mode is determined according to the historical parking payment information, and if the user is the potential user of the non-inductive payment mode, the non-inductive payment mode is recommended to the user; according to the application, the potential users of the non-inductive payment are screened out through the historical parking payment information, then the non-inductive payment mode is recommended to the potential users in a targeted manner, and the probability of successful recommendation can be effectively improved through recommending the non-inductive payment mode to the potential users, namely the probability of using the non-inductive payment mode is improved, and the payment efficiency is improved.
As shown in fig. 3, in one possible implementation, the implementation procedure of step S102 may include:
s1021, judging whether the user pays by using an electronic payment mode or not based on the payment mode in the historical parking payment information.
In this embodiment, the user may use a cash payment method, an electronic payment method, etc. when performing parking payment, so that the payment method in the historical parking payment information of the user may or may not include electronic payment, and therefore, whether the user uses the electronic payment method needs to be screened from the historical parking payment information.
Specifically, the electronic payment mode may include WeChat payment, payment device payment, bank card payment, and the like.
And S1022, if the user does not pay by using the electronic payment mode, determining that the user is not the target user.
In this embodiment, if the user pays in the historical parking payment information by never using the electronic payment method, it is indicated that the user may not use the electronic payment, and the user is not the target user, that is, is not a potential user of the non-inductive payment method.
If the user pays in the historical parking payment information by using the electronic payment mode, the user is indicated to use the electronic payment mode, and the user is a potential user of a non-inductive payment mode and needs to further judge.
In the embodiment of the application, the users who pay in the unused electronic payment mode are determined as potential users who are not in the noninductive payment mode, so that a part of users can be reasonably excluded, the noninductive payment mode is not required to be recommended to the users who are not in the target users, the resources can be saved, and the resource waste is avoided.
As shown in fig. 3, in one possible implementation, after step S1021, step 102 may further include:
S1023, if the user pays by using the electronic payment modes, determining whether the user pays by using the non-inductive payment mode in the electronic payment modes.
In this embodiment, the user may pay by using an electronic payment method, or pay by using an active payment method or pay by using a non-inductive payment method. The active payment mode is active code scanning payment or active code showing payment and the like.
In this embodiment, the method of determining whether the user is the target user by the active payment method and the non-inductive payment method is different, so if the user pays by using the electronic payment method, it is also necessary to determine whether the user pays by using the active payment method or the non-inductive payment method. And determining whether the user is a target user or not by determining whether the user pays in an active payment mode or a non-inductive payment mode and selecting different judging methods.
S1024, if the user pays by using the non-inductive payment mode, determining the target time of the last payment by using the non-inductive payment mode by the user based on the use time of the non-inductive payment mode in the historical parking payment information.
In this embodiment, the payment platform of the non-inductive payment manner may include various types, such as a non-inductive payment platform in WeChat or a non-inductive payment platform in Payment device. No matter which platform is used by the user to make the non-inductive payment, the non-inductive payment method belongs to the range of non-inductive payment modes.
If the user uses the non-inductive payment mode, the use time of the non-inductive payment mode is determined according to the use time of the non-inductive payment mode, and the use time of the non-inductive payment mode for payment is used as the target time.
S1025, determining whether the user is the target user based on the target time.
In this embodiment, whether the user is the target user may not be determined according to the target time, and if the target time does not meet the preset requirement, the user is not the target user; if the target time meets the preset requirement, the user is the target user.
As shown in fig. 4, in particular, the implementation procedure of step S1025 may include:
s10251, calculating the difference value between the target time and the current time.
In this embodiment, the difference between the target time and the current time is calculated, and it can be determined how long the user has been away from the current time by using the non-inductive payment method for the last time.
And S10252, if the difference value is smaller than the preset time, determining that the user is not the target user.
In this embodiment, the preset time may be set as needed, for example: 3 days, 6 days, etc.
If the difference between the target time and the current time is smaller than the preset time, the user is a common user of the non-inductive payment mode, the non-inductive payment mode is not required to be recommended to the user, and the user is not the target user naturally.
S10253, if the difference value is greater than or equal to the preset time, determining that the user is the target user.
In this embodiment, if the difference between the target time and the current time is greater than or equal to the preset time, it is indicated that the user has not used the non-inductive payment method for a long time, and the user needs to be reminded of paying by using the non-inductive payment method, and the user is the target user.
As shown in fig. 3, in one possible implementation, after step S1023, step 102 may further include:
S1026, if the user does not pay by using the non-inductive payment mode and the user pays by using the active payment mode in the electronic payment modes, calculating the number of times that the user pays by using the active payment mode.
In this embodiment, if the user does not use the non-inductive payment method, but the user uses the active payment method, it is indicated that the user uses the electronic payment method to pay, and whether the user is the target user can be continuously determined. Specifically, whether the user is a target user can be judged according to the number of times that the user pays by using the active payment mode. If the user frequently uses the active payment mode, the user can be the target user if the user is indicated that the user possibly uses the non-inductive payment mode; if the user uses the active payment method only once occasionally, and most of the users use cash payment, the user cannot be guaranteed to use the non-inductive payment method, and the user can be determined as not being the target user first.
S1027, if the number of times the user pays by using the active payment mode meets a preset condition, determining that the user is the target user, wherein the preset condition comprises that the number of times the user pays by using the active payment mode is larger than a first preset value, and the ratio of the number of times the user pays by using the electronic payment mode to the total number of times the user pays is larger than a preset ratio.
In this embodiment, the first preset value may be set as required, for example: 8 times, 9 times, etc. The preset ratio may be set as desired, for example: 70%, 80%, etc.
And if the number of times of payment by using the active payment mode is larger than a first preset value and the ratio of the number of times of payment by using the electronic payment mode to the total number of times of payment by the user is larger than a preset ratio, determining that the user is a target user. Since the user does not pay using the non-inductive payment method, and the electronic payment method includes the non-inductive payment method and the active payment method, the rate of payment by the electronic payment method may be the rate of payment by the active payment method.
Calculating the ratio of the first time of payment by using the electronic payment mode to the total time of historical parking payment in the historical parking payment information, and taking the ratio of the first time to the total time as the ratio of payment by using the electronic payment mode.
As an example, if the first preset value is 5 times, the preset ratio is 70%. If the user a does not pay by using the non-inductive payment method, but the user a pays by using the active payment method, the number of times of paying by using the active payment method is 8, and the number of times of paying by using the electronic payment method is 8. The total number of historical payments for user a was 10.
The rate of payment by user a using electronic payment means is 8/10 x 100% = 80%.
8 Times more than 5 times, 80% more than 70%, user A is the target user.
And S1028, if the number of times that the user pays by using the active payment mode does not meet the preset condition, determining that the user is not the target user.
In this embodiment, if the number of payments made by the user using the active payment method is less than or equal to the first preset value and/or the rate of payments made using the electronic payment method is less than or equal to the preset rate, the user is not the target user.
In the embodiment of the application, whether the user is the target user is determined by the number of times that the user pays by using the active payment mode, so that the user who pays by using the electronic payment mode frequently can be excluded, and the user who pays by using the electronic payment mode frequently can be taken as the target user.
As shown in fig. 5, in a possible implementation manner, after step 103, the method may further include:
S201, verifying whether a recommendation method of the non-inductive payment mode is effective.
In this embodiment, after recommending the non-inductive payment method to the target user, it may also be verified whether the recommendation method of the non-inductive payment method is effective after a period of time after the recommendation.
S202, if the recommendation method of the non-inductive payment mode is invalid, adjusting the first preset value and/or the preset ratio to optimize the recommendation method of the non-inductive payment mode.
In this embodiment, if the recommendation method of the non-inductive payment method is invalid, it is indicated that there is an unreasonable point in the recommendation method, and the recommendation method needs to be optimized. Specifically, the optimization method may be to adjust one or more of the first preset value, the preset ratio, and the difference between the target time and the current time. And continuously judging whether the user is a target user or not by using the optimized recommendation method.
If the recommendation method is effective, adjustment is not needed, the recommendation method can be used for continuously determining the target user, and the non-inductive payment mode is recommended to the target user.
In the embodiment of the application, the recommendation method can be continuously optimized by verifying whether the recommendation method is effective, so that the recommendation method is more accurate, and the effect of the recommended non-inductive payment mode is better.
As shown in fig. 6, in one possible implementation, the implementation procedure of step S201 may include:
S2011, obtaining payment modes of parking of a plurality of target users in a target time period, wherein the target time period is a time period after the non-inductive payment modes are recommended to the target users.
S2012, based on the payment modes of the plurality of target users for parking in the target time period, determining the quantity of users, who pay in the target time period, by using the non-inductive payment modes in the plurality of target users.
In this embodiment, the payment methods of all target users in the target time period are searched, and the number of users who pay by using the non-inductive payment method is found.
S2013, if the number of users is greater than or equal to a second preset value, determining that the recommendation method of the non-inductive payment mode is effective, wherein the second preset value is determined based on the total number of the plurality of target users.
S2014, if the number of the users is smaller than the second preset value, determining that the recommendation method of the non-inductive payment mode is invalid.
In this embodiment, the second preset value may be determined according to the total number of target users, for example, may be 60% of the total number of target users, or the like.
Optionally, the use frequency and the use time interval of the non-inductive payment mode used by the user using the non-inductive payment mode can be determined according to the payment mode in the target time period, and then whether the recommendation method of the non-inductive payment mode is effective is determined according to the use quantity, the use frequency and/or the use time interval.
Specifically, the number of users with the use frequency larger than the third preset value is determined, and when the number of users with the use frequency larger than the third preset value is larger than the fourth preset value, the recommendation method is determined to be effective. And when the number of users with the frequency of use being greater than the third preset value is less than or equal to the fourth preset value, determining that the recommendation method is invalid. The third preset value may be 0.5, 0.7, 0.8, etc. The fourth preset value may be determined according to the number of the plurality of target users, for example, the fourth preset value may be a product of the number of the plurality of target users and 70%. As an example, if the target period is 30 days, the plurality of target users are four users, user a, user B, user C, and user D, respectively, the third preset value is 0.6, and the fourth preset value is 2. The number of times that the user a pays by using the non-inductive payment mode within 30 days is 30 times, and the use frequency of the user a is 30/30=1; the number of times of payment by the user B in a 30-day non-inductive payment mode is 25, and the use frequency of the user A is 25/30=0.8; the number of times that the user C pays by using the non-inductive payment mode is 20 in 30 days, and the use frequency of the user C is 20/30=0.7; the number of payments made by user D using the non-inductive payment method within 30 days is 16, and the frequency of use by user a is 16/30=0.5. The users with the use frequency larger than the third preset value are three users, namely user A, user B and user C. And because the fourth preset value is 2, if the number of users with the use frequency larger than the third preset value is larger than the fourth preset value, determining that the recommendation method is effective. Otherwise, it is not effective.
The average value of the using time interval of each user is determined, and the average value of the using time interval is taken as the target time interval of the user. Determining the number of users with the target time interval smaller than a fifth preset value, and if the number of users with the target time interval smaller than the fifth preset value is larger than the sixth preset value, determining that the recommendation method is effective; otherwise, it is not effective.
The fifth preset value may be 10 hours, 20 hours, 24 hours, or the like. The sixth preset value may be determined according to the number of the plurality of target users, for example, the sixth preset value may be a product of the number of the plurality of target users and 60%.
As an example, if the target period is 30 days, the plurality of target users are five users, respectively, user a, user B, user C, user D, and user E, the fifth preset value is 2 days, and the sixth preset value is 3. The time interval of the user A using the non-inductive payment mode is 1 day, the time interval of the user B using the non-inductive payment mode is 1.5 days, the time interval of the user C using the non-inductive payment mode is 3 days, the time interval of the user D using the non-inductive payment mode is 4 days, and the time interval of the user E using the non-inductive payment mode is 3 days. There are two users a and B who use the non-inductive pay mode with a time interval less than the fifth preset value. And if the number of users using the non-inductive payment mode with the time interval smaller than the fifth preset value is smaller than the sixth preset value, determining that the recommendation method of the non-inductive payment mode is invalid. And vice versa. In the embodiment of the application, whether the recommendation method is effective or not can be determined by the number of users paying by using the non-inductive payment mode, namely, whether the recommendation method is effective or not can be effectively evaluated by checking how many users pay by non-inductive payment after recommendation and determining whether the recommendation method is effective or not by using the number of users paying by non-inductive payment, and the recommendation method can be timely adjusted when the recommendation method is ineffective.
As shown in fig. 7, in one possible implementation manner, the recommendation method of the above-mentioned non-inductive payment method may also be used to determine whether the user is a potential user of a specific non-inductive payment method, where the specific method is as follows;
S301, acquiring historical parking payment information of a user B in a historical time period;
S302, determining whether the user B pays by using an electronic payment mode according to the payment mode in the historical parking payment information;
s303, if the user B does not pay by using the electronic payment mode, the user B is not a potential user of the non-inductive payment mode C;
s304, if the user B pays by using the electronic payment modes, determining whether the user B pays by using an unobserved payment mode C in the electronic payment modes;
s305, if the user B pays by using the non-inductive payment mode C, determining the target time of the user for paying by using the non-inductive payment mode C for the last time based on the use time of the non-inductive payment mode C in the historical parking payment information;
s306, calculating the difference value between the target time and the current time;
s307, if the difference value is smaller than the preset time, determining that the user B is not a potential user of the non-inductive payment mode C;
s308, if the difference value is greater than or equal to the preset time, determining that the user B is a potential user of the non-inductive payment mode C;
S309, if the user B does not pay by using the non-inductive payment mode C and the user B pays by using an active payment mode in the electronic payment modes, calculating the number of times that the user B pays by using the active payment mode;
S310, if the number of times the user B pays by using the active payment mode meets a preset condition, determining that the user B is a potential user of the non-inductive payment mode C, wherein the preset condition comprises that the number of times the user B pays by using the active payment mode is larger than a first preset value, and the ratio of the number of times the user B pays by using the electronic payment mode to the total number of times the user B pays is larger than a preset ratio;
And S311, if the number of times that the user B pays by using the active payment mode does not meet the preset condition, determining that the user B is not a potential user of the non-inductive payment mode C.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.
Fig. 8 shows a block diagram of a recommendation device for a non-inductive payment method according to an embodiment of the present application, and for convenience of explanation, only the parts related to the embodiment of the present application are shown.
Referring to fig. 8, the apparatus 300 may include: a data acquisition module 310, a data calculation module 320, and a model deployment module 330.
The information obtaining module 310 is configured to obtain historical parking payment information of a user in a historical time period;
A screening module 320, configured to determine, based on the historical parking payment information, whether the user is a target user, where the target user is a potential user in a non-inductive payment manner;
and a recommending module 330, configured to recommend the non-inductive payment method to the target user if the user is the target user.
In one possible implementation, the filtering module 320 may specifically include:
Judging whether the user pays by using an electronic payment mode or not based on the payment mode in the historical parking payment information;
And if the user does not pay by using the electronic payment mode, determining that the user is not the target user.
In one possible implementation, the screening module 320 may be specifically configured to:
If the user pays by using the electronic payment modes, determining whether the user pays by using a non-inductive payment mode in the electronic payment modes;
if the user pays by using the non-inductive payment mode, determining the target time of the last payment by using the non-inductive payment mode by the user based on the use time of the non-inductive payment mode in the historical parking payment information;
based on the target time, it is determined whether the user is the target user.
In one possible implementation, the screening module 320 may be specifically configured to:
Calculating the difference between the target time and the current time;
If the difference value is smaller than the preset time, determining that the user is not the target user;
And if the difference value is greater than or equal to the preset time, determining that the user is the target user.
In one possible implementation, the screening module 320 may be specifically configured to:
If the user does not pay by using the non-inductive payment mode and the user pays by using an active payment mode in the electronic payment modes, calculating the number of times that the user pays by using the active payment mode;
If the number of times the user pays by using the active payment method meets a preset condition, determining that the user is the target user, wherein the preset condition comprises that the number of times the user pays by using the active payment method is larger than a first preset value, and the ratio of the number of times the user pays by using the electronic payment method to the total number of times the user pays is larger than a preset ratio;
And if the number of times of payment by the user in the active payment mode does not meet the preset condition, determining that the user is not the target user.
In one possible implementation, connected to the recommendation module 330 further comprises:
the verification module is used for verifying whether the recommendation method of the non-inductive payment mode is effective or not;
and the optimization module is used for adjusting the first preset value and/or the preset ratio to optimize the recommendation method of the non-inductive payment mode if the recommendation method of the non-inductive payment mode is invalid.
In one possible implementation, the verification module may be specifically configured to:
Acquiring payment modes of parking of a plurality of target users in a target time period, wherein the target time period is a time period after the non-inductive payment modes are recommended to the target users;
determining the number of users of the plurality of target users who pay by using the non-inductive payment mode in the target time period based on the payment mode of parking of the plurality of target users in the target time period;
if the number of users is greater than or equal to a second preset value, determining that the recommendation method of the non-inductive payment mode is effective, wherein the second preset value is determined based on the total number of the plurality of target users;
And if the number of the users is smaller than the second preset value, determining that the recommendation method of the non-inductive payment mode is invalid.
It should be noted that, because the content of information interaction and execution process between the above devices/units is based on the same concept as the method embodiment of the present application, specific functions and technical effects thereof may be referred to in the method embodiment section, and will not be described herein.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
The embodiment of the present application also provides a terminal device, referring to fig. 9, the terminal device 400 may include: at least one processor 410, a memory 420, and a computer program stored in the memory 420 and executable on the at least one processor 410, the processor 410, when executing the computer program, performing the steps of any of the various method embodiments described above, such as steps S101 to S103 in the embodiment shown in fig. 2. Or the processor 410, when executing the computer program, performs the functions of the modules/units in the apparatus embodiments described above, e.g., the functions of the modules 310 to 330 shown in fig. 8.
By way of example, a computer program may be partitioned into one or more modules/units that are stored in memory 420 and executed by processor 410 to perform the present application. The one or more modules/units may be a series of computer program segments capable of performing specific functions for describing the execution of the computer program in the terminal device 400.
It will be appreciated by those skilled in the art that fig. 9 is merely an example of a terminal device and is not limiting of the terminal device, and may include more or fewer components than shown, or may combine certain components, or different components, such as input-output devices, network access devices, buses, etc.
The Processor 410 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), off-the-shelf Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 420 may be an internal storage unit of the terminal device, or may be an external storage device of the terminal device, such as a plug-in hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like. The memory 420 is used for storing the computer program as well as other programs and data required by the terminal device. The memory 420 may also be used to temporarily store data that has been output or is to be output.
The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (PERIPHERAL COMPONENT, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or to one type of bus.
The recommendation method of the non-inductive payment mode provided by the embodiment of the application can be applied to terminal equipment such as computers, tablet computers, notebook computers, netbooks, personal Digital Assistants (PDAs) and the like, and the embodiment of the application does not limit the specific type of the terminal equipment.
The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the steps in each embodiment of the recommendation method capable of realizing the non-inductive payment mode when being executed by a processor.
Embodiments of the present application provide a computer program product which, when run on a mobile terminal, causes the mobile terminal to perform the steps of the embodiments of the recommended method that enable the non-inductive payment method described above.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiments, and may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing device/terminal apparatus, recording medium, computer Memory, read-Only Memory (ROM), random access Memory (RAM, random Access Memory), electrical carrier signals, telecommunications signals, and software distribution media. Such as a U-disk, removable hard disk, magnetic or optical disk, etc. In some jurisdictions, computer readable media may not be electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/network device and method may be implemented in other manners. For example, the apparatus/network device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (9)
1. A recommendation method for a non-inductive payment method, comprising:
Acquiring historical parking payment information of a user in a historical time period;
Determining whether the user is a target user or not based on the historical parking payment information, wherein the target user is a potential user of a non-inductive payment mode;
If the user is the target user, recommending the non-inductive payment mode to the target user, and if not, not recommending the non-inductive payment mode to the user;
wherein the determining whether the user is a target user based on the historical parking payment information comprises:
Judging whether the user pays by using an electronic payment mode or not based on the payment mode in the historical parking payment information;
If the user pays by using the electronic payment modes, determining whether the user pays by using a non-inductive payment mode in the electronic payment modes;
If the user does not pay by using the non-inductive payment mode and the user pays by using an active payment mode in the electronic payment modes, calculating the number of times that the user pays by using the active payment mode;
if the number of times that the user pays by using the active payment mode meets a preset condition, determining that the user is the target user;
And if the number of times of payment by the user in the active payment mode does not meet the preset condition, determining that the user is not the target user.
2. The method of claim 1, wherein after determining whether the user has paid using the electronic payment method based on the payment method in the historical parking payment information, further comprising:
if the user pays by using the non-inductive payment mode, determining the target time of the last payment by using the non-inductive payment mode by the user based on the use time of the non-inductive payment mode in the historical parking payment information;
based on the target time, it is determined whether the user is the target user.
3. The method of recommending a payment-based non-inductive mode of claim 2, wherein said determining whether the user is the target user based on the target time comprises:
Calculating the difference between the target time and the current time;
If the difference value is smaller than the preset time, determining that the user is not the target user;
And if the difference value is greater than or equal to the preset time, determining that the user is the target user.
4. A method of recommending a non-inductive pay-mode as defined in claim 3, wherein the predetermined condition comprises a number of payments using the active pay-mode being greater than a first predetermined value and a ratio of the number of payments using the electronic pay-mode to a total number of payments by the user being greater than a predetermined ratio.
5. The method of recommending a non-inductive payment method of claim 4, further comprising, after said recommending the non-inductive payment method to the target user:
Verifying whether a recommendation method of the non-inductive payment mode is effective;
and if the recommendation method of the non-inductive payment mode is invalid, adjusting the first preset value and/or the preset ratio to optimize the recommendation method of the non-inductive payment mode.
6. The method of claim 5, wherein verifying whether the method of recommending a non-inductive payment method is valid comprises:
Acquiring payment modes of parking of a plurality of target users in a target time period, wherein the target time period is a time period after the non-inductive payment modes are recommended to the target users;
determining the number of users of the plurality of target users who pay by using the non-inductive payment mode in the target time period based on the payment mode of parking of the plurality of target users in the target time period;
if the number of users is greater than or equal to a second preset value, determining that the recommendation method of the non-inductive payment mode is effective, wherein the second preset value is determined based on the total number of the plurality of target users;
And if the number of the users is smaller than the second preset value, determining that the recommendation method of the non-inductive payment mode is invalid.
7. A recommendation device for a non-inductive payment method, comprising:
The information acquisition module is used for acquiring historical parking payment information of a user in a historical time period;
the screening module is used for determining whether the user is a target user or not based on the historical parking payment information, wherein the target user is a potential user of a non-inductive payment mode;
The recommendation module is used for recommending the non-inductive payment mode to the target user if the user is the target user, and if not, the non-inductive payment mode does not need to be recommended to the user;
The screening module is specifically configured to determine whether the user uses an electronic payment manner to pay based on a payment manner in the historical parking payment information;
If the user pays by using the electronic payment modes, determining whether the user pays by using a non-inductive payment mode in the electronic payment modes;
If the user does not pay by using the non-inductive payment mode and the user pays by using an active payment mode in the electronic payment modes, calculating the number of times that the user pays by using the active payment mode;
if the number of times that the user pays by using the active payment mode meets a preset condition, determining that the user is the target user;
And if the number of times of payment by the user in the active payment mode does not meet the preset condition, determining that the user is not the target user.
8. Terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements a recommendation method for a non-inductive payment method according to any of claims 1 to 6 when executing the computer program.
9. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the method of recommending a non-inductive payment method according to any one of claims 1 to 6.
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| CN113779632B (en) * | 2021-09-14 | 2023-08-22 | 深圳市神州路路通网络科技有限公司 | Method, system, equipment and readable storage medium for protecting sensitive information of vehicle |
| CN114399846A (en) * | 2021-11-30 | 2022-04-26 | 深圳市顺易通信息科技有限公司 | Parking fee payment method, payment device and storage medium |
| CN114827251B (en) * | 2022-03-31 | 2024-04-19 | 拉扎斯网络科技（上海）有限公司 | Subscription page pushing method and device |
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