Information interaction method, device, electronic device and readable storage medium
By using machine learning models to determine order abnormal parameters and implementing the order fee adjustment process in online ride-hailing services, the problem of order fee disputes is solved, and the processing efficiency and passenger experience are improved.
Patent Information
- Application Number
- CN202011449057.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2020-12-09
- Publication Date
- 2024-12-13
- Estimated Expiration
- 2040-12-09
AI Technical Summary
Among the existing online ride-hailing services, order expense disputes account for a large proportion, and the existing solutions are mostly artificial verification after the event, which is time-consuming and labor-intensive, resulting in poor passenger experience.
After receiving the order end request, the machine learning model is used to determine the order abnormal parameters, execute the order fee adjustment process, and adjust the order fee in a timely manner to avoid disputes.
It improves order processing efficiency, reduces the number of user complaints, and improves the user experience of passengers.
Smart Images

Figure CN112529661B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of computer technology, and in particular to an information interaction method, system, electronic device and readable storage medium. Background Art
[0002] Online ride-hailing is a new mode of travel based on Internet technology, which greatly facilitates people's travel. Among the service experience issues of online ride-hailing, the disputes between drivers and passengers account for a large proportion. Usually, when passengers encounter abnormal order fees, they will voluntarily file a complaint with the online ride-hailing service platform, and the customer service personnel behind the service platform will verify the authenticity of the order problem and give corresponding treatment to achieve a balance between the rights and interests of the driver, passengers and service platform.
[0003] However, although the above solutions can play a certain role, they are post-processing, and the processing process is time-consuming and labor-intensive, and will still bring a bad user experience to passengers. Summary of the invention
[0004] In view of this, the embodiments of the present invention aim to provide an information interaction method, device, electronic device and readable storage medium to avoid driver-passenger disputes when the order charges are abnormal, and have high processing efficiency, which is conducive to improving the user experience.
[0005] In a first aspect, an embodiment of the present invention is to provide an information interaction method, applied to a server, the method comprising:
[0006] After receiving an order end request of a target order, determining order abnormality parameters of the target order, the order end request including order fee information, the order fee information being used to characterize the order fee corresponding to the target order;
[0007] In response to the order abnormality parameter characterizing that the target order is abnormal, an order fee adjustment process is executed.
[0008] Further, the determining of the order abnormality parameters of the target order includes:
[0009] Acquiring audio information and / or video information recorded during the execution of the target order;
[0010] The audio information and / or video information is input into a first machine learning model to determine order anomaly parameters of the target order.
[0011] Further, the determining of the order abnormality parameters of the target order includes:
[0012] Acquire order information and attribute information recorded during the execution of the target order, wherein the attribute information includes attribute information of a user corresponding to the execution terminal and attribute information of a user corresponding to the client terminal;
[0013] The path information and attribute information are input into a second machine learning model to determine order anomaly parameters of the target order.
[0014] Furthermore, the order abnormality parameter is the probability that the order cost of the target order is abnormal;
[0015] The order abnormality parameter characterizes that the target order is abnormal, specifically, the order abnormality parameter is greater than a preset threshold.
[0016] Furthermore, the execution order fee adjustment process includes:
[0017] Sending a reminder message to the execution terminal of the target order, wherein the reminder message is used to remind the execution terminal to modify the order fee;
[0018] Open the order fee modification permission for the target order;
[0019] In response to the order fee being modified successfully, adjustment information is sent to the customer terminal of the target order, where the adjustment information is used to represent the settlement fee of the target order.
[0020] Further, the determining of the order abnormality parameters of the target order includes:
[0021] After receiving an order end request of a target order, in response to receiving an order fee modification request, determining an order abnormality parameter of the target order, wherein the order fee modification request includes settlement fee information and price difference information, wherein the settlement fee information is used to represent the actual settlement fee of the target order, and the price difference information is used to represent the price difference between the settlement fee and the order fee;
[0022] The execution order fee adjustment process includes:
[0023] Send modification confirmation message;
[0024] In response to the modification confirmation information being received by the execution terminal of the target order, adjustment information is sent to the customer terminal of the target order, where the adjustment information is used to represent the actual settlement fee of the target order.
[0025] Furthermore, the execution order fee adjustment process also includes:
[0026] After the adjustment information is sent to the customer terminal of the target order, in response to the settlement fee being successfully paid, the target order is ended.
[0027] Further, the determining of the order abnormality parameters of the target order includes:
[0028] After receiving an order end request for a target order, in response to receiving an order fee payment request, an order exception parameter of the target order is determined.
[0029] Furthermore, the execution order fee adjustment process includes:
[0030] Intervention information is sent to the customer terminal of the target order, the intervention information including settlement fee information and price difference information, the settlement fee information is used to represent the actual settlement fee of the target order, and the price difference information is used to represent the price difference between the settlement fee and the order fee.
[0031] Furthermore, the execution order fee adjustment process also includes:
[0032] In response to the intervention information being confirmed, sending price difference information;
[0033] In response to the order fee being paid and the spread information being received, the target order is closed.
[0034] Furthermore, the execution fee adjustment process also includes:
[0035] In response to the intervention information being confirmed, sending settlement fee information;
[0036] In response to the settlement fee being paid, the target order is terminated.
[0037] In a second aspect, an embodiment of the present invention is to provide an information interaction method, which is applied to an execution terminal, and the method includes:
[0038] Sending an order end request of a target order, wherein the order end request includes order fee information, and the order fee information is used to represent the order fee corresponding to the target order;
[0039] receiving a reminder message, wherein the reminder message is used to remind the user to modify the order fee;
[0040] Modify the order fee.
[0041] In a third aspect, an embodiment of the present invention is to provide an information interaction method, which is applied to an execution terminal, and the method includes:
[0042] Sending an order end request and an order fee modification request for a target order, wherein the order end request includes order fee information, and the order fee information is used to represent the order fee corresponding to the target order;
[0043] Receive confirmation of modification.
[0044] In a fourth aspect, an embodiment of the present invention is to provide an information interaction method, applied to a client terminal, the method comprising:
[0045] Sending an order fee payment request for the target order;
[0046] Receive and confirm intervention information, the intervention information including settlement fee information and price difference information, the settlement fee information is used to represent the actual settlement fee of the target order, and the price difference information is used to represent the price difference between the settlement fee and the order fee;
[0047] Pay the settlement fee or receive the spread information and pay the order fee.
[0048] In a fifth aspect, an embodiment of the present invention is intended to provide an information interaction device, applied to a server, the device comprising:
[0049] A determination unit, configured to determine an order abnormality parameter of the target order after receiving an order termination request of the target order, wherein the order termination request includes order fee information, and the order fee information is used to represent an order fee corresponding to the target order;
[0050] The processing unit is used to execute an order fee adjustment process in response to the order abnormality parameter characterizing that the target order is abnormal.
[0051] In a sixth aspect, an embodiment of the present invention is to provide an information interaction device, applied to an execution terminal, the device comprising:
[0052] A sending unit, configured to send an order end request of a target order, wherein the order end request includes order fee information, and the order fee information is used to represent the order fee corresponding to the target order;
[0053] A receiving unit, used for receiving a reminder message, wherein the reminder message is used for reminding to modify the order fee;
[0054] A modification unit is used to modify the order fee.
[0055] In a seventh aspect, an embodiment of the present invention is intended to provide an information interaction device, applied to an execution terminal, the device comprising:
[0056] a sending unit, configured to send an order termination request and an order fee modification request of a target order, wherein the order termination request includes order fee information, and the order fee information is used to represent the order fee corresponding to the target order; and the order fee modification request includes settlement fee information and price difference information, wherein the settlement fee information is used to represent the actual settlement fee of the target order, and the price difference information is used to represent the price difference between the settlement fee and the order fee;
[0057] The receiving unit is used to receive modification confirmation information.
[0058] In an eighth aspect, an embodiment of the present invention is intended to provide an information interaction device, applied to a client terminal, the device comprising:
[0059] A sending unit, used for sending an order fee payment request for the target order;
[0060] a receiving unit, configured to receive and confirm intervention information, wherein the intervention information includes settlement fee information and price difference information, wherein the settlement fee information is used to represent the actual settlement fee of the target order, and the price difference information is used to represent the price difference between the settlement fee and the order fee;
[0061] Payment unit, used to pay settlement fees or receive price difference information and pay order fees.
[0062] In a ninth aspect, an embodiment of the present invention provides an electronic device, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described above.
[0063] In a tenth aspect, an embodiment of the present invention provides a readable storage medium, wherein the readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described above is implemented.
[0064] The technical solution of the embodiment of the present invention determines the order abnormality parameters of the target order after receiving the order end request of the target order, responds to the order abnormality parameters characterizing the target order abnormality, and executes the order fee adjustment process, so that the order fee can be adjusted in time when the order fee is abnormal, and the processing efficiency is high. At the same time, by timely executing the order fee adjustment process, the order fee abnormality problem can be solved before the order is ended, thereby avoiding disputes caused by order fees, improving the order usage experience, and effectively reducing the number of user complaints. BRIEF DESCRIPTION OF THE DRAWINGS
[0065] The above and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:
[0066] Figure 1 is a schematic diagram of an information interaction system according to an embodiment of the present invention;
[0067] Figure 2 is a flow chart of an information interaction method according to an embodiment of the present invention;
[0068] Figure 3 is a flow chart of determining order abnormality parameters according to an embodiment of the present invention;
[0069] Figure 4is another flow chart of determining order abnormality parameters according to an embodiment of the present invention;
[0070] Figure 5 is a flow chart of an implementation method of the information interaction method of the embodiment of the present invention;
[0071] Figure 6 is a flow chart of another implementation of the information interaction method of an embodiment of the present invention;
[0072] Figure 7 is a flow chart of another implementation of the information interaction method of an embodiment of the present invention;
[0073] Figure 8 is a flow chart of another implementation of the information interaction method of an embodiment of the present invention;
[0074] Fig. 9 is a flow chart of another implementation of the information interaction method of an embodiment of the present invention;
[0075] Fig.10 It is a jump diagram of an interactive page of an execution terminal in an embodiment of the present invention;
[0076] Fig.11 It is another interactive page jump of the execution terminal in the embodiment of the present invention;
[0077] Fig.12 It is a jump diagram of an interactive page of a client terminal in an embodiment of the present invention;
[0078] Fig.13 It is another jump diagram of an interactive page of a client terminal in an embodiment of the present invention;
[0079] Fig.14 It is another jump diagram of an interactive page of a client terminal in an embodiment of the present invention;
[0080] Fig.15 is a schematic diagram of an information interaction device applied to a server according to an embodiment of the present invention;
[0081] Fig.16 is a schematic diagram of an information interaction device applied to an execution terminal according to an embodiment of the present invention;
[0082] Fig.17 is a schematic diagram of another information interaction device applied to an execution terminal according to an embodiment of the present invention;
[0083] Fig.18 is a schematic diagram of an information interaction device applied to a client terminal according to an embodiment of the present invention;
[0084] Fig.19 is a schematic diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION
[0085] The present invention is described below based on embodiments, but the present invention is not limited to these embodiments. In the detailed description of the present invention below, some specific details are described in detail. It is possible for a person skilled in the art to fully understand the present invention without the description of these details. In order to avoid confusing the essence of the present invention, known methods, processes, flows, components and circuits are not described in detail.
[0086] In addition, persons of ordinary skill in the art will appreciate that the drawings provided herein are for illustration purposes and are not necessarily drawn to scale.
[0087] Unless the context clearly requires otherwise, words such as “include”, “including” and the like in the specification should be interpreted as including rather than being exclusive or exhaustive; that is, as meaning “including but not limited to”.
[0088] In the description of the present invention, it should be understood that the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, "plurality" means two or more.
[0089] In the online car-hailing service experience, driver-passenger disputes caused by order fees account for a large proportion. At the same time, existing driver-passenger disputes are mostly resolved by post-human verification and negotiation, which is time-consuming and labor-intensive, and still brings poor user experience to customers. Based on this, the embodiment of the present invention aims to provide an information interaction method to avoid the occurrence of driver-passenger disputes when the order fees are abnormal, and the processing efficiency is high, which is conducive to improving the user experience.
[0090] Figure 1 Schematic diagram of an information interaction system according to an embodiment of the present invention. Figure 1 As shown, the information interaction system in this embodiment includes an execution terminal 1, a service platform 2 and a client terminal 3. In the application scenario of online car-hailing, the execution terminal 1 and the client terminal 3 can respectively correspond to the terminal devices held by the driver and the passenger in the online car-hailing service, and the execution terminal 1 and the client terminal 3 communicate data through the service platform 2. Specifically, the passenger initiates an order service request to the service platform 2 through a specific application (including an APP or a mini-program) on the client terminal 3. The service platform 2 broadcasts the order to the execution terminal 1 within the service range of the order according to the content of the order service request. The driver receives the order request through the execution terminal 1 and starts to accept orders until he arrives at the destination and sends an order end request to the service platform 2. The service platform 2 receives the order end request and sends payment information to the client terminal 3. After the payment is successful at the client terminal 3, the order is ended.
[0091] In this embodiment, the service platform can be a server or a server cluster, and the server is used as an example for explanation in this embodiment. The execution terminal and the client terminal can be a smart phone, a tablet computer or other electronic terminal devices with data processing and communication functions.
[0092] Figure 2 is a flow chart of the information interaction method according to an embodiment of the present invention. Figure 2 As shown, the information interaction method of this embodiment includes the following steps:
[0093] In step S110, after receiving the order end request of the target order, the order abnormality parameters of the target order are determined, wherein the order end request includes order fee information, and the order fee information is used to characterize the order fee corresponding to the target order.
[0094] In step S120, in response to the order abnormality parameter characterizing that the target order is abnormal, an order fee adjustment process is executed.
[0095] In this embodiment, after receiving the order end request of the target order, the order abnormality parameters of the target order are determined, and the order fee adjustment process is executed in response to the order abnormality parameters characterizing the target order abnormality, so that the order fee can be adjusted in time when the order fee is abnormal, and the processing efficiency is high. At the same time, by adjusting the order fee in time, disputes caused by the order fee can be avoided, the order usage experience can be improved, and the number of user complaints can be effectively reduced.
[0096] The existing order fees generally include starting price, long-distance price and surcharge. The starting price and long-distance price are automatically calculated by the service platform according to the order execution process. The surcharge is manually added by the online car-hailing driver when calculating the order fee and is part of the order fee, which generally includes highway tolls and parking fees along the way.
[0097] Optionally, this embodiment uses the following situations that cause order fee anomalies as an example to illustrate the method for determining order anomaly parameters. It should be understood that the following situations correspond to common causes of order fee anomalies, but the information interaction method of this embodiment is not limited to the following specific order anomalies.
[0098] The first is the issue of charging passengers without them getting on the bus. That is, after receiving an order, the driver does not go to the passenger's location to pick up the passenger, but ends the order after a certain period of time and charges the passenger the starting price, resulting in an abnormal order.
[0099] The second issue is drivers taking longer routes or charging extra fees.
[0100] In view of the above situation, the order abnormality parameters of the target order in this embodiment can be determined in the following two ways.
[0101] In one way, Figure 3 As shown, the process of determining the abnormal order parameters of the target order in this embodiment includes the following steps S111 and S112.
[0102] In step S111, audio information and / or video information recorded during the execution of the target order is obtained.
[0103] In this embodiment, audio information can be collected through a microphone, a sound collection chip module or other facilities with audio data collection function configured in the execution terminal, the customer terminal or the vehicle. Video information during the execution of the target order can also be obtained through a camera, a driving recorder (such as a Jushi device) or other equipment with image collection function configured in the execution terminal, the customer terminal or the vehicle. Electronic equipment with both audio and video collection functions can also be used to collect audio information and video information simultaneously.
[0104] In step S112, the audio information and / or video information is input into the first machine learning model to determine the order abnormality parameters of the target order.
[0105] In this embodiment, the audio information and / or video information is input into the first machine learning model, and the value output by the first machine learning model after calculation is used as the order abnormality parameter of the target order. The first machine learning model is trained with part of the audio information and / or video information recorded in the historical orders with order fee disputes as training data, and the audio information and / or video information in the above historical order records that are different from the training data are used as verification data to verify the accuracy of the first machine learning model until the accuracy meets the preset conditions, indicating that the trained first machine learning model can be used to determine the order abnormality parameters of the target order.
[0106] Optionally, the first machine learning model of this embodiment may adopt a logistic regression model, a decision tree model, an XGBoost model or a deep learning model.
[0107] Therefore, by collecting audio information and / or video information inside the online car-hailing vehicle during the execution of the target order, and calculating the audio information and video information based on the machine learning model, the abnormal order parameters of the target order can be determined, and then it can be determined whether the target order has a problem of charging passengers without riding the vehicle.
[0108] Optionally, after acquiring audio information and / or video information, this embodiment can directly determine whether there are passengers in the online car-hailing vehicle through the audio information and video information.
[0109] Specifically, the judgment is made by analyzing the volume value corresponding to the audio information and / or the number of target images in the video information. The number of target images is the number of people in the online car-hailing vehicle. When the volume value of the audio information is not greater than the preset value and / or the number of target images in the video information is not greater than the preset value, it is determined that there are no passengers in the online car-hailing vehicle, and the order abnormality parameters of the target order are determined to characterize the target order abnormality. Thus, it is further convenient to quickly determine whether there is a problem of charging for passengers who did not take the car in the target order. In another way, such as Figure 4 As shown, the process of determining the order abnormality parameters of the target order in this embodiment includes the following steps S113 and S114.
[0110] In step S113, the order information and attribute information recorded during the execution of the target order are obtained, wherein the attribute information includes the attribute information of the user corresponding to the execution terminal and the attribute information of the user corresponding to the client terminal.
[0111] Optionally, the order information of this embodiment includes path information, order time information and mileage information. Among them, the path information includes the navigation path information at the beginning of the order and the actual path information obtained by the service platform monitoring the order during the order execution process. The attribute information of the user corresponding to the execution terminal is the credit information of the driver on the service platform. The attribute information of the user corresponding to the customer terminal is the credit information of the passenger on the service platform.
[0112] In step S114, the order information and attribute information are input into the second machine learning model to determine the order abnormality parameters of the target order.
[0113] In this embodiment, the order information and attribute information are input into the second machine learning model, and the value output by the second machine learning model after calculation is used as the order abnormality parameter of the target order. The training of the second machine learning model uses part of the order information and attribute information recorded in the historical orders with order fee disputes as training data, and uses the order information and attribute information in the above historical order records that are different from the training data as verification data to verify the accuracy of the second machine learning model until the accuracy meets the preset conditions, indicating that the trained second machine learning model can be used to determine the order abnormality parameters of the target order.
[0114] Optionally, the second machine learning model of this embodiment may adopt a logistic regression model, a decision tree model, an XGBoost model or a deep learning model.
[0115] Therefore, by obtaining the path information of the target order and the attribute information of the user corresponding to the execution terminal and / or the customer terminal, and calculating the path information and attribute information based on the machine learning model, the order abnormality parameters of the target order are determined, and then it is determined whether the target order has problems with the driver taking a detour or charging excessive surcharges.
[0116] Optionally, the order abnormality parameter of this embodiment is the probability that the order cost of the target order is abnormal. When determining the order abnormality parameter, the first machine learning model and the second machine learning model can directly use the probability of abnormality of different parameters as input, and calculate according to the different weights assigned to the parameters to obtain the order abnormality parameter of the target order. As a result, the process of determining the order abnormality parameter of the target order is faster and the result is more intuitive.
[0117] Optionally, the order abnormality parameter characterization of the target order abnormality in this embodiment is that the order abnormality parameter is greater than a preset threshold. The setting of the preset threshold can be determined based on actual experience in the online car-hailing operation environment.
[0118] Figure 5 FIG. 1 is a flow chart of an implementation method of the information interaction method of an embodiment of the present invention. Figure 5 As shown, the information interaction method of the embodiment of the present invention includes the following steps:
[0119] In step S210, the execution terminal 1 sends an order termination request of the target order to the server 2. The order termination request includes order fee information, and the order fee information is used to represent the order fee corresponding to the target order.
[0120] In step S220, after receiving the order end request of the target order, server 2 determines the order exception parameters of the target order.
[0121] In step S230, server 2 executes the order fee adjustment process in response to the order abnormality parameter characterizing that the target order is abnormal.
[0122] In this embodiment, the order fee adjustment process includes the following steps S231-S236.
[0123] In step S231, the server 2 sends a reminder message to the target order execution terminal 1. The reminder message is used to remind the modification of the order fee.
[0124] In step S232 , the server 2 opens the order fee modification authority of the target order to the execution terminal 1 .
[0125] In step S233, after executing terminal 1 modifies the order fee, it sends the modified order fee information to server 2.
[0126] Optionally, the reminder message in this embodiment will give a specific modification method, and the user of the execution terminal only needs to modify it according to the modification method given in the reminder message. After the modification is completed, the execution terminal sends a modification order fee message to the server. Among them, the modification order fee message is used to indicate that the execution terminal has modified the order fee according to the reminder message.
[0127] In step S234, in response to the successful modification of the order fee, the server 2 sends adjustment information to the customer terminal 3 of the target order, where the adjustment information is used to characterize the settlement fee of the target order.
[0128] In step S235, the client terminal 3 receives the adjustment information and pays the settlement fee.
[0129] In step S236, server 2 ends the target order in response to the settlement fee being successfully paid.
[0130] In this embodiment, the server determines the order abnormality parameters, and when the order fee is abnormal, a reminder message is sent to the execution terminal and the order modification permission is opened. After the execution terminal successfully modifies, the server client terminal sends adjustment information. After the client terminal pays the settlement fee based on the adjustment information, the server ends the target order. Thus, through the server sending reminder messages to the execution terminal and the three-party interaction between the driver, the server and the passenger, when the order fee is abnormal, the order fee adjustment process is executed in time, the order abnormal fee is effectively handled, and the order fee disputes and poor order usage experience caused by the abnormal order fee after the order is completed are avoided, which can effectively reduce the number of user complaints.
[0131] Figure 6 FIG. 1 is a flow chart of another implementation of the information interaction method of an embodiment of the present invention. Figure 6 As shown, the information interaction method of the embodiment of the present invention includes the following steps:
[0132] In step S310 , the execution terminal 1 sends an order end request and an order fee modification request of the target order to the server 2 .
[0133] In this step, the order end request is the same as above and will not be described again. The order fee modification request includes settlement fee information and price difference information. The settlement fee information is used to represent the actual settlement fee of the target order, and the price difference information is used to represent the price difference between the settlement fee and the order fee.
[0134] In step S320, server 2 determines the order exception parameters of the target order.
[0135] In this embodiment, after receiving the order end request of the target order, the server determines the order abnormality parameters of the target order in response to receiving the order fee modification request. That is, the server determines the order abnormality parameters of the target order in response to receiving the order end request and the order fee modification request of the target order.
[0136] In step S330, in response to the order abnormality parameter characterizing that the target order is abnormal, an order fee adjustment process is executed.
[0137] In this embodiment, the order fee adjustment process includes the following steps S331-S334.
[0138] In step S331 , the server 2 sends modification confirmation information to the execution terminal 1 .
[0139] In this embodiment, the server sends order modification confirmation information to the execution terminal, indicating that the server recognizes the settlement fee information and price difference information in the order fee modification request, makes modifications according to the information in the order fee modification request, and sends modification confirmation information to the execution terminal after the modification is completed, so that the execution terminal knows that the order fee has been modified according to the order fee modification request.
[0140] In step S332, in response to the modification confirmation information being received by the execution terminal 1 of the target order, the server 2 sends adjustment information to the client terminal 3 of the target order, wherein the adjustment information is used to represent the actual settlement fee of the target order.
[0141] In step S333, the client terminal 3 receives the adjustment information and pays the settlement fee.
[0142] In step S334, server 2 ends the target order in response to successful payment of the settlement fee.
[0143] In this embodiment, the execution terminal sends a modification request message to the server after sending the order end request, determines the order abnormality parameters through the server, and sends a modification confirmation message to the execution terminal when the order fee is abnormal. After the execution terminal receives the modification confirmation message, the server sends adjustment information to the client terminal. After the client terminal pays the settlement fee based on the adjustment information, the server ends the target order. Therefore, when the order fee is abnormal, the driver can actively submit the order fee request and the three-party interaction between the driver, the server and the passenger to promptly execute the order fee adjustment process, effectively handle the abnormal order fee, avoid order fee disputes and poor order usage experience caused by abnormal order fees after the order is completed, and effectively reduce the number of user complaints.
[0144] Figure 7 FIG. 1 is a flow chart of another implementation of the information interaction method of an embodiment of the present invention. Figure 7 As shown, the information interaction method of the embodiment of the present invention includes the following steps:
[0145] In step S410 , the execution terminal 1 sends an order end request of the target order to the server 2 .
[0146] In this step, the order end request is the same as above and will not be repeated here.
[0147] In step S420 , the client terminal 3 sends an order fee payment request to the server 2 .
[0148] In step S430, after receiving the order end request of the target order, the server 2 determines the order abnormality parameters of the target order in response to receiving the order fee payment request. The order end request is the same as above and will not be described again here.
[0149] In step S440, server 2 executes the order fee adjustment process in response to the order abnormality parameter characterizing that the target order is abnormal.
[0150] In this embodiment, executing the order fee process includes the following steps.
[0151] In step S441, the server 2 sends intervention information to the client terminal 3 of the target order. The intervention information includes settlement fee information and price difference information. The settlement fee information is used to represent the actual settlement fee of the target order, and the price difference information is used to represent the price difference between the settlement fee and the order fee.
[0152] In step S442, the client terminal 3 confirms the intervention information or ignores the intervention information.
[0153] In this embodiment, when the client terminal chooses to ignore the intervention information, such as Figure 7 As shown, it indicates that the passenger's default order fee is normal and only needs to perform the following steps S443-S444.
[0154] In step S443, the client terminal 3 pays the order fee.
[0155] In step S444, server 2 ends the target order in response to successful payment of the order fee.
[0156] In this embodiment, optionally, when the customer terminal chooses to confirm the intervention information, it indicates that the passenger acknowledges that the order is abnormal, and the fees incurred by the target order can be paid in the following two ways.
[0157] In one way, Figure 8 As shown, in this embodiment, after the client terminal confirms the intervention information, the following steps S445-S447 are executed.
[0158] In step S445 , the server 2 sends the price difference information to the client terminal 3 in response to the intervention information being confirmed.
[0159] In step S446, the client terminal 3 pays the order fee and receives the price difference information.
[0160] In step S447, server 2 ends the target order in response to the order fee being paid and the price difference information being received.
[0161] In another way, Fig. 9As shown, this implementation executes the following steps S448-S4410 after the client terminal confirms the intervention information.
[0162] In step S448, the server 2 sends the settlement fee information in response to the intervention information being confirmed.
[0163] In step S449, the client terminal 3 pays the settlement fee information.
[0164] In step S4410, server 2 ends the target order in response to the settlement fee being paid.
[0165] Optionally, in this embodiment, different payment methods of the client terminal can be set to take one of them by default, or different option controls can be displayed at the same time to provide passengers with choices, and after the user selects one of the option controls, the corresponding subsequent payment steps are executed. Among them, different option controls are used to respectively correspond to the user continuing to pay the order fee or re-paying the settlement fee.
[0166] Therefore, in this embodiment, the server responds to the order abnormality parameters sent by the execution terminal, and sends intervention information to the client terminal when the order fee is abnormal, and the client terminal confirms the intervention information or chooses to ignore it. When the client terminal chooses to ignore the intervention information, it only needs to continue to pay the order fee. When the client terminal chooses to confirm the intervention information, it can receive the price difference information sent by the server and continue to pay the order fee, or receive the settlement information sent by the server and re-pay the settlement fee. Finally, the server responds to the order fee or settlement fee being paid and ends the target order. Therefore, when the order fee is abnormal, through the interaction between the client terminal and the server, the order fee adjustment process is executed in time, the abnormal order fee is effectively handled, and the order fee disputes and poor order usage experience caused by the abnormal order fee after the order is completed are avoided, which can effectively reduce the number of user complaints.
[0167] Fig.10 It is a jump diagram of an interactive page of the execution terminal of an embodiment of the present invention. Fig.10 As shown in (a), the driver sends an order end request to the server by clicking the "collect vehicle" option on the execution terminal. Fig.10 As shown in (b), when the server determines that the order fee is abnormal, it sends a reminder message to the execution terminal and issues the order fee modification authority. The driver completes the order fee modification by checking the reminder message and clicking the confirmation modification option. Therefore, when the order fee is abnormal, the server issues the order fee modification authority to the execution terminal to complete the order fee modification and execute the order fee adjustment process.
[0168] Fig.11 1 is another interactive page jump diagram of the execution terminal of the embodiment of the present invention. Fig.11 As shown in (a), the driver sends an order end request to the server by clicking the "collect vehicle" option on the execution terminal. Fig.11 As shown in (b), the driver sends an order fee modification request to the server by clicking the Modify Price option on the execution terminal. Fig.11 As shown in (c), after the server determines that the order fee is abnormal, it receives the driver's order fee request and sends a modification confirmation message to the execution terminal. Therefore, when the order fee is abnormal, the driver actively submits an order fee modification request to the server, and after the server determines that the order fee is abnormal, it sends a modification confirmation message to the execution terminal, ending the order fee adjustment process.
[0169] Fig.12 It is a jump diagram of an interactive page of a client terminal in an embodiment of the present invention. Fig.12 As shown in (a), the passenger clicks the Pay Order Fee option on the client terminal to send an order payment request to the server. After the server determines that there is an abnormality in the order fee, it sends an intervention message to the client terminal. Fig.12 As shown in (b), the passenger clicks the Ignore option on the customer terminal to issue a default order fee that is normal, and there is no need to perform the order fee adjustment process. Fig.12 As shown in (c), after the passenger chooses to ignore the option, the client terminal automatically returns to the previous order fee payment interface, and the passenger completes the payment of the target order fee by clicking the Pay Order Fee option. Fig.12 As shown in (d), after the passenger has paid successfully, the client terminal will receive a reminder message indicating that the order fee has been paid successfully, indicating that the target order has been completed.
[0170] Fig.13 It is another jump diagram of the interactive page of the client terminal of the embodiment of the present invention. Fig.13 As shown in (a), the passenger clicks the Pay Order Fee option on the client terminal to send an order payment request to the server. After the server determines that there is an abnormality in the order fee, it sends an intervention message to the client terminal. Fig.13 As shown in (b), the passenger clicks the confirmation option on the customer terminal, indicating that the passenger acknowledges that there is an abnormality in the order fee and agrees to execute the order fee adjustment process. Fig.13 As shown in (c), after the passenger selects the confirmation option, the client terminal automatically jumps to the payment interface. The passenger selects the option to continue paying the order fee by clicking the Continue Payment option, and agrees to return the price difference generated by the target order to the passenger's payment account along the original route. Fig.13 As shown in (d), after the passenger successfully pays, the client terminal will receive a reminder message indicating that the order fee has been successfully paid and the price difference has been successfully returned, indicating that the target order has been completed. Thus, in this embodiment, the order fee adjustment process is realized by combining the payment of the order fee and the return of the price difference.
[0171] Fig.14 It is another jump diagram of the interactive page of the client terminal of the embodiment of the present invention. Fig.14 As shown in (a), the passenger clicks the Pay Order Fee option on the client terminal to send an order payment request to the server. After the server determines that there is an abnormality in the order fee, it sends an intervention message to the client terminal. Fig.14 As shown in (b), the passenger clicks the confirmation option on the customer terminal, indicating that the passenger acknowledges that there is an abnormality in the order fee and agrees to execute the order fee adjustment process. Fig.14 As shown in (c), after the passenger selects the confirmation option, the client terminal automatically jumps to the payment interface. The passenger clicks the re-payment option to indicate that he / she wants to give up the order fee payment and re-pay the settlement fee. Fig.14 As shown in (d), the client terminal displays a payment settlement fee option, and the user pays the settlement fee by clicking the payment settlement fee option. Fig.14 As shown in (e), after the passenger successfully pays the settlement fee, the client terminal will receive and display the payment success information, indicating that the target order is completed. Therefore, in this embodiment, the order fee adjustment process is realized by re-paying the settlement fee.
[0172] Fig.15 Schematic diagram of an information interaction device applied to a server according to an embodiment of the present invention. Fig.15 As shown, the information interaction device 20 of this embodiment is applied to a server, and the information interaction device 20 includes a determination unit 201 and a processing unit 202. The determination unit 201 is used to determine the order abnormality parameter of the target order after receiving the order end request of the target order, and the order end request includes order fee information, and the order fee information is used to characterize the order fee corresponding to the target order. The processing unit 202 is used to execute the order fee adjustment process in response to the order abnormality parameter characterizing the target order abnormality.
[0173] Fig.16 Schematic diagram of an information interaction device applied to an execution terminal according to an embodiment of the present invention. Fig.16 As shown, the information interaction device 10 of this embodiment is applied to the execution terminal. The information interaction device 10 includes a sending unit 101, a receiving unit 102 and a modifying unit 103. The sending unit 101 is used to send an order end request of a target order, and the order end request includes order fee information, and the order fee information is used to characterize the order fee corresponding to the target order. The receiving unit 102 is used to receive a reminder message, and the reminder message is used to remind to modify the order fee. The modifying unit 103 is used to modify the order fee.
[0174] Fig.17 FIG. 1 is a schematic diagram of another information interaction device applied to an execution terminal according to an embodiment of the present invention. Fig.17As shown, the information interaction device 10 of this embodiment is applied to the execution terminal. The information interaction device 10 includes a sending unit 101 and a receiving unit 102. The sending unit 101 is used to send an order end request and an order fee modification request of a target order, and the order end request includes order fee information, and the order fee information is used to characterize the order fee corresponding to the target order. The receiving unit 102 is used to receive the modification confirmation information.
[0175] Fig.18 Schematic diagram of an information interaction device applied to a client terminal according to an embodiment of the present invention. Fig.18 As shown, the information interaction device 30 of this embodiment is applied to a client terminal. The information interaction device 30 includes a sending unit 301, a receiving unit 302 and a payment unit 303. The sending unit 301 is used to send an order fee payment request for a target order. The receiving unit 302 is used to receive and confirm intervention information, and the intervention information includes settlement fee information and price difference information. The settlement fee information is used to represent the actual settlement fee of the target order, and the price difference information is used to represent the price difference between the settlement fee and the order fee. The payment unit 303 is used to pay the settlement fee or receive the price difference information and pay the order fee.
[0176] The technical solution of the embodiment of the present invention determines the order exception parameters of the target order after receiving the order end request of the target order, characterizes the target order abnormality in response to the order exception parameters, and executes the order fee adjustment process, so that the order fee can be adjusted in time when the order fee is abnormal, thereby avoiding disputes caused by the order fee, improving the order usage experience, and effectively reducing the number of user complaints.
[0177] Fig.19 Schematic diagram of an electronic device according to an embodiment of the present invention. Fig.19 As shown, Fig.19The electronic device 19 shown is a general data processing device, which includes a general computer hardware structure, which includes at least a processor 191 and a memory 192. The processor 191 and the memory 192 are connected via a bus 193. The memory 192 is suitable for storing instructions or programs executable by the processor 191. The processor 191 can be an independent microprocessor or a collection of one or more microprocessors. Thus, the processor 191 executes the instructions stored in the memory 192, thereby executing the method flow of the embodiment of the present invention as described above to realize the processing of data and the control of other devices. The bus 193 connects the above-mentioned multiple components together, and at the same time connects the above-mentioned components to the display controller 194, the display device and the input / output (I / O) device 195. The input / output (I / O) device 195 can be a mouse, a keyboard, a modem, a network interface, a touch input device, a somatosensory input device, a printer and other devices known in the art. Typically, the input / output device 195 is connected to the system through an input / output (I / O) controller 196.
[0178] The memory 192 may store software components such as an operating system, a communication module, an interaction module, and an application program. Each of the modules and applications described above corresponds to a set of executable program instructions that implement one or more functions and methods described in the embodiments of the invention.
[0179] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, devices (equipment) or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present application may adopt a computer program product implemented on one or more readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.
[0180] The present application is described with reference to flowcharts of methods, apparatuses (devices) and computer program products according to embodiments of the present application. It should be understood that each process in the flowchart can be implemented by computer program instructions.
[0181] These computer program instructions may be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device that implements the process Figure 1 A function specified in a process or multiple processes.
[0182] These computer program instructions may also be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce the instructions for implementing the process Figure 1 A device that specifies functions in a process or multiple processes.
[0183] Another embodiment of the present invention relates to a non-volatile storage medium for storing a computer-readable program, wherein the computer-readable program is used for a computer to execute part or all of the above method embodiments.
[0184] That is, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including a number of instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.
[0185] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. An information interaction method, applied to a server, characterized in that: The method comprises: After receiving an order end request of a target order, determining order abnormality parameters of the target order, the order end request including order fee information, the order fee information being used to characterize the order fee corresponding to the target order; In response to the order abnormality parameter characterizing that the target order is abnormal, executing an order fee adjustment process; Wherein, the determining of the order abnormality parameters of the target order includes: The order abnormality parameter of the target order is determined based on the volume value corresponding to the audio information recorded during the execution of the target order and / or the number of target images in the video information; or, the order abnormality parameter of the target order is determined based on the order information and attribute information recorded during the execution of the target order, the order abnormality parameter being the probability that the order fee of the target order is abnormal, the order abnormality parameter characterizing the target order abnormality is specifically that the order abnormality parameter is greater than a preset threshold, and the order information includes path information, order time information and mileage information.
2. The information interaction method according to claim 1, characterized in that: The determining of the order abnormality parameters of the target order includes: Acquiring audio information and / or video information recorded during the execution of the target order; The audio information and / or video information is input into a first machine learning model to determine order anomaly parameters of the target order.
3. The information interaction method according to claim 1, characterized in that: The determining of the order abnormality parameters of the target order includes: Acquire order information and attribute information recorded during the execution of the target order, wherein the attribute information includes attribute information of a user corresponding to the execution terminal and attribute information of a user corresponding to the client terminal; The order information and attribute information are input into a second machine learning model to determine order anomaly parameters of the target order.
4. The information interaction method according to claim 1, characterized in that: The execution order fee adjustment process includes: Sending a reminder message to the execution terminal of the target order, wherein the reminder message is used to remind the execution terminal to modify the order fee; Open the order fee modification permission for the target order; In response to the order fee being modified successfully, adjustment information is sent to the customer terminal of the target order, where the adjustment information is used to represent the settlement fee of the target order.
5. The information interaction method according to claim 1, characterized in that: The determining of the order abnormality parameters of the target order includes: After receiving an order end request of a target order, in response to receiving an order fee modification request, determining an order abnormality parameter of the target order, wherein the order fee modification request includes settlement fee information and price difference information, wherein the settlement fee information is used to represent the actual settlement fee of the target order, and the price difference information is used to represent the price difference between the settlement fee and the order fee; The execution order fee adjustment process includes: Send modification confirmation message; In response to the modification confirmation information being received by the execution terminal of the target order, adjustment information is sent to the customer terminal of the target order, where the adjustment information is used to represent the actual settlement fee of the target order.
6. The information interaction method according to claim 4 or 5, characterized in that: The execution order fee adjustment process also includes: After the adjustment information is sent to the customer terminal of the target order, in response to the settlement fee being successfully paid, the target order is ended.
7. The information interaction method according to claim 1, characterized in that: The determining of the order abnormality parameters of the target order includes: After receiving an order end request for a target order, in response to receiving an order fee payment request, an order exception parameter of the target order is determined.
8. The information interaction method according to claim 7, characterized in that: The execution order fee adjustment process includes: Intervention information is sent to the customer terminal of the target order, the intervention information including settlement fee information and price difference information, the settlement fee information is used to represent the actual settlement fee of the target order, and the price difference information is used to represent the price difference between the settlement fee and the order fee.
9. The information interaction method according to claim 8, characterized in that: The execution order fee adjustment process also includes: In response to the intervention information being confirmed, sending price difference information; In response to the order fee being paid and the spread information being received, the target order is closed.
10. The information interaction method according to claim 8, characterized in that: The execution order fee adjustment process also includes: In response to the intervention information being confirmed, sending settlement fee information; In response to the settlement fee being paid, the target order is terminated.
11. An information interaction method, applied to an execution terminal, characterized in that: The method comprises: Sending an order end request of a target order, wherein the order end request includes order fee information, and the order fee information is used to represent the order fee corresponding to the target order; In response to the order abnormality parameter characterizing the target order abnormality, a reminder message is received, the reminder message is used to remind to modify the order fee, the order abnormality parameter is the probability of abnormality of the order fee of the target order, and the order abnormality parameter characterizes the target order abnormality specifically that the order abnormality parameter is greater than a preset threshold; the order abnormality parameter is determined based on the volume value corresponding to the audio information recorded during the execution of the target order and / or the number of target images in the video information; or, the order abnormality parameter is determined based on the order information and attribute information recorded during the execution of the target order, and the order information includes path information, order time information and mileage information; Modify the order fee.
12. An information interaction method, applied to an execution terminal, characterized in that: The method comprises: Sending an order termination request and an order fee modification request for a target order, wherein the order termination request includes order fee information, and the order fee information is used to represent the order fee corresponding to the target order; the order fee modification request includes settlement fee information and price difference information, wherein the settlement fee information is used to represent the actual settlement fee of the target order, and the price difference information is used to represent the price difference between the settlement fee and the order fee; In response to the order abnormality parameter characterizing the target order abnormality, modification confirmation information is received; wherein, the order abnormality parameter is the probability that the order fee of the target order is abnormal, and the order abnormality parameter characterizes the target order abnormality specifically as the order abnormality parameter is greater than a preset threshold; the order abnormality parameter is determined based on the volume value corresponding to the audio information recorded during the execution of the target order and / or the number of target images in the video information; or, the order abnormality parameter is determined based on the order information and attribute information recorded during the execution of the target order, and the order information includes path information, order time information and mileage information.
13. An information interaction method, applied to a client terminal, characterized in that: The method comprises: Send an order fee payment request for the target order; In response to the order abnormality parameter characterizing the target order abnormality, receiving and confirming intervention information, the intervention information includes settlement fee information and price difference information, the settlement fee information is used to characterize the actual settlement fee of the target order, and the price difference information is used to characterize the price difference between the settlement fee and the order fee; the order abnormality parameter is the probability that the order fee of the target order is abnormal, and the order abnormality parameter characterizes that the target order abnormality is specifically that the order abnormality parameter is greater than a preset threshold; the order abnormality parameter is determined based on the volume value corresponding to the audio information recorded during the execution of the target order and / or the number of target images in the video information; or, the order abnormality parameter is determined based on the order information and attribute information recorded during the execution of the target order, and the order information includes path information, order time information and mileage information; Pay the settlement fee or receive the spread information and pay the order fee.
14. An information interaction device, applied to a server, characterized in that: The device comprises: A determination unit, configured to determine an order abnormality parameter of the target order after receiving an order termination request of the target order, wherein the order termination request includes order fee information, and the order fee information is used to represent an order fee corresponding to the target order; A processing unit, configured to execute an order fee adjustment process in response to the order abnormality parameter characterizing that the target order is abnormal; Among them, when determining the order abnormality parameters of the target order, the determination unit is also used to determine the order abnormality parameters of the target order based on the volume value corresponding to the audio information recorded during the execution of the target order and / or the number of target images in the video information; or, determine the order abnormality parameters of the target order based on the order information and attribute information recorded during the execution of the target order, the order abnormality parameter is the probability that the order fee of the target order is abnormal, and the order abnormality parameter characterizes that the target order is abnormal, specifically, the order abnormality parameter is greater than a preset threshold, and the order information includes path information, order time information and mileage information.
15. An information interaction device, applied to an execution terminal, characterized in that: The device comprises: A sending unit, configured to send an order end request of a target order, wherein the order end request includes order fee information, and the order fee information is used to represent the order fee corresponding to the target order; A receiving unit, configured to receive a reminder message in response to the order abnormality parameter characterizing the target order abnormality, wherein the reminder message is used to remind the modification of the order fee, wherein the order abnormality parameter is the probability of abnormality of the order fee of the target order, and the order abnormality parameter characterizing the target order abnormality specifically means that the order abnormality parameter is greater than a preset threshold; the order abnormality parameter is determined based on the volume value corresponding to the audio information recorded during the execution of the target order and / or the number of target images in the video information; or, the order abnormality parameter is determined based on the order information and attribute information recorded during the execution of the target order, wherein the order information includes path information, order time information, and mileage information; A modification unit is used to modify the order fee.
16. An information interaction device, applied to an execution terminal, characterized in that: The device comprises: a sending unit, configured to send an order termination request and an order fee modification request of a target order, wherein the order termination request includes order fee information, and the order fee information is used to represent the order fee corresponding to the target order; and the order fee modification request includes settlement fee information and price difference information, wherein the settlement fee information is used to represent the actual settlement fee of the target order, and the price difference information is used to represent the price difference between the settlement fee and the order fee; A receiving unit is used to receive modification confirmation information in response to the order abnormality parameter characterizing the target order abnormality; wherein the order abnormality parameter is the probability of an abnormality in the order fee of the target order, and the order abnormality parameter characterizes the target order abnormality specifically as the order abnormality parameter being greater than a preset threshold; the order abnormality parameter is determined based on the volume value corresponding to the audio information recorded during the execution of the target order and / or the number of target images in the video information; or, the order abnormality parameter is determined based on the order information and attribute information recorded during the execution of the target order, and the order information includes path information, order time information and mileage information.
17. An information interaction device, applied to a client terminal, characterized in that: The device comprises: A sending unit, used for sending an order fee payment request for a target order; A receiving unit, configured to receive and confirm intervention information in response to the order abnormality parameter characterizing the target order abnormality, wherein the intervention information includes settlement fee information and price difference information, wherein the settlement fee information is used to characterize the actual settlement fee of the target order, and the price difference information is used to characterize the price difference between the settlement fee and the order fee; the order abnormality parameter is a probability that the order fee of the target order is abnormal, and the order abnormality parameter characterizes that the target order abnormality is specifically that the order abnormality parameter is greater than a preset threshold; the order abnormality parameter is determined based on a volume value corresponding to audio information recorded during the execution of the target order and / or the number of target images in video information; or, the order abnormality parameter is determined based on order information and attribute information recorded during the execution of the target order, and the order information includes path information, order time information, and mileage information; Payment unit, used to pay settlement fees or receive price difference information and pay order fees.
18. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions, when executed by the processor, implement the method according to any one of claims 1 to 13.
19. A readable storage medium storing computer program instructions, characterized in that: When the computer program instructions are executed by a processor, the method according to any one of claims 1 to 13 is implemented.
