Parking service recommendation method and device

Abstract

The invention discloses a parking service recommendation method and device, and the method comprises the steps: obtaining a user portrait, a parking lot portrait and a service portrait in response to a parking service triggering operation for a target vehicle; generating user behavior characteristics of the target user based on the user portrait, the parking lot portrait and the business portrait; and recommending a corresponding parking service to the target user based on the user behavior characteristics and the current parking scene. In the embodiment of the invention, through the user portrait, the parking lot portrait and the service portrait, the user behavior characteristics are obtained, the proper service is automatically matched for the user, multiple identification codes do not need to be set, the workload of the user can be reduced, the user experience can be improved, and various costs of a platform, property management or parking space operation materials and the like can be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of parking lot management, and in particular to a parking service recommendation method and device. Background Art

[0002] Smart parking scenarios are currently a more popular parking lot management model, which can realize unattended management of parking lots. Due to different user needs, parking platforms usually provide multiple functions such as visitors, monthly cards, temporary parking, unlicensed vehicles, arrears, calling seats, and payment.

[0003] However, currently when the above functions need to be used, the usual practice is to paste QR code materials corresponding to various businesses in the parking lot, and guide users to scan the codes before user needs can be met. Due to different needs, a QR code needs to be pasted for each need, which not only affects the cleanliness of the parking lot, but also often requires guiding users to scan the codes multiple times before the corresponding needs can be met. For example, a user drives an unlicensed car into the entrance of a property parking lot. The parking lot does not support temporary vehicles but supports visitor functions. Generally, unlicensed vehicles enter with one QR code and visitor registration with another QR code. When the user is not clear about the property management process, he needs to try to scan one QR code first and then another, which is time-consuming and labor-intensive and seriously affects the user experience. Summary of the invention

[0004] Based on this, it is necessary to provide a parking service recommendation method and device for the above technical problems to solve at least one problem existing in the above prior art.

[0005] In a first aspect, a parking service recommendation method is provided, comprising:

[0006] In response to a parking service triggering operation for a target vehicle, obtaining a user profile, a parking lot profile, and a service profile;

[0007] Generate user behavior characteristics of the target user based on the user portrait, parking lot portrait, and business portrait;

[0008] Based on the user behavior characteristics and the current parking scenario, a corresponding parking service is recommended to the target user.

[0009] In one embodiment, before obtaining the user portrait, the parking lot portrait, and the business portrait, the following steps are included:

[0010] Obtaining historical parking information, parking lot information, and business information of the target user;

[0011] Extracting features of the historical parking information, parking lot attribute information, and business usage information respectively to obtain user portrait features, parking lot portrait features, and business portrait features;

[0012] Based on the user portrait features, parking lot portrait features and business portrait features, the user portrait, parking lot portrait and business portrait are generated respectively.

[0013] In one embodiment, the recommending corresponding parking services to the target user based on the user behavior characteristics and the current parking scenario includes:

[0014] Based on the current parking scene, determining whether the target vehicle is in an entry scene;

[0015] If the target vehicle is in an entry scene, determining whether the target vehicle is a temporary vehicle based on the user behavior characteristics;

[0016] If the target vehicle is a temporary vehicle, determining whether the parking lot allows temporary vehicles to park;

[0017] If the parking lot does not allow temporary parking of vehicles, determining whether the parking lot has opened visitor services;

[0018] If the parking lot has opened a visitor service, the visitor registration service is recommended to the target user.

[0019] In one embodiment, after determining whether the parking lot allows temporary parking of vehicles, the method further comprises:

[0020] If the parking lot allows temporary parking of vehicles, determining whether the target vehicle has an arrears record;

[0021] If the target vehicle has an overdue payment record, the overdue payment service is recommended to the target user.

[0022] In one embodiment, after determining whether the parking lot allows temporary parking of vehicles, the method further comprises:

[0023] If the parking lot allows temporary parking of vehicles, determining whether the target vehicle is an unlicensed vehicle;

[0024] If the target vehicle is an unlicensed vehicle, the unlicensed vehicle admission service is recommended to the target user.

[0025] In one embodiment, the recommending corresponding parking services to the target user based on the user behavior characteristics and the current parking scenario includes:

[0026] Based on the current parking scene, determining whether the target vehicle is in the parking lot;

[0027] If the target vehicle is in the parking lot, determining whether the target vehicle is a monthly pass vehicle based on the user behavior characteristics;

[0028] If the target vehicle is a monthly card vehicle, determining whether the monthly card of the target vehicle has expired or the remaining usage time is less than a first preset time;

[0029] If the monthly card of the target vehicle has expired or the remaining usage time is less than the first preset time, a monthly card renewal service is recommended to the target vehicle.

[0030] In one embodiment, after determining whether the target vehicle is in the parking lot, the method further comprises:

[0031] If the target vehicle is in the parking lot, determining whether the target vehicle has an arrears record based on the user behavior characteristics;

[0032] If the target vehicle has an overdue payment record, the overdue payment service is recommended to the target user.

[0033] In one embodiment, the recommending corresponding parking services to the target user based on the user behavior characteristics and the current parking scenario includes:

[0034] Based on the current parking scene, determining whether the target vehicle is in a departure scene;

[0035] If the target vehicle is in a departure scene, determining whether the target vehicle is a monthly pass vehicle based on the user behavior characteristics;

[0036] If the target vehicle is a monthly card vehicle, determining whether the monthly card of the target vehicle has expired or the remaining usage time is less than a second preset time;

[0037] If the monthly card of the target vehicle has expired or the remaining usage time is less than the second preset time, a monthly card renewal service is recommended to the target vehicle.

[0038] In one embodiment, the triggering operation in response to the parking service for the target vehicle includes:

[0039] In response to the target user scanning the target identification code to trigger the parking service for the target vehicle, the target identification code is a composite code formed by integrating identification codes corresponding to multiple different parking services.

[0040] In a second aspect, a parking service recommendation device is provided, comprising:

[0041] A portrait acquisition unit, configured to acquire a user portrait, a parking lot portrait, and a business portrait in response to a parking business trigger operation for a target vehicle;

[0042] A user behavior feature generating unit, configured to generate user behavior features of a target user based on the user portrait, parking lot portrait, and business portrait;

[0043] A parking service recommendation unit is used to recommend corresponding parking services to the target user based on the user behavior characteristics and the current parking scenario.

[0044] The above-mentioned parking service recommendation method and device, the method implementation includes: in response to the parking service triggering operation for the target vehicle, obtaining the user portrait, parking lot portrait and service portrait; based on the user portrait, parking lot portrait and service portrait, generating the user behavior characteristics of the target user; based on the user behavior characteristics and the current parking scene, recommending the corresponding parking service to the target user. In the embodiment of the present application, the user behavior characteristics are obtained through the user portrait, parking lot portrait and service portrait, and the user is automatically matched with the appropriate service without setting multiple identification codes, which can reduce the user's workload, improve the user experience, and reduce various costs such as platform, property or parking space operation materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0046] Figure 1 A process diagram of a parking service recommendation method according to an embodiment of the present invention is shown in FIG. Figure 1 ;

[0047] Figure 2 is a flow chart of a method for generating a portrait in one embodiment of the present invention;

[0048] Figure 3 A process diagram of a parking service recommendation method according to an embodiment of the present invention is shown in FIG. Figure 2 ;

[0049] Figure 4 A process diagram of a parking service recommendation method according to an embodiment of the present invention is shown in FIG. Figure 3 ;

[0050] Figure 5 A process diagram of a parking service recommendation method according to an embodiment of the present invention is shown in FIG. Figure 4 ;

[0051] Figure 6 A process diagram of a parking service recommendation method according to an embodiment of the present invention is shown in FIG. Figure 5 ;

[0052] Figure 7 is a structural schematic diagram of a parking service recommendation device in one embodiment of the present invention;

[0053] Figure 8 is a schematic diagram of a computer device in one embodiment of the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] In one embodiment, if Figure 1 As shown, a parking service recommendation method is provided, comprising the following steps:

[0056] In step S110, in response to a parking service triggering operation for a target vehicle, a user portrait, a parking lot portrait, and a service portrait are obtained;

[0057] In an implementation scenario of the present application, an identification code may be set at any location in the parking lot, such as the parking lot entrance gate, exit gate, parking space, etc. The identification code may be a dynamic identification code or a static identification code. When a user needs to use the parking service of the parking lot, the user may scan the code through the client to trigger the parking service corresponding to the target vehicle of the target user.

[0058] The identification code may be a QR code, a bar code, etc.

[0059] It should be noted that the parking service can also be triggered by other means. For example, users can trigger the parking service for the target vehicle by recording voice, sending text messages, etc. through official accounts, mini-programs, applications, etc.

[0060] In the embodiment of the present application, the user portrait may specifically include basic user information, parking records, payment records, parking types, such as monthly card vehicles, temporary parking vehicles, etc. The parking lot portrait may specifically include parking lot types, such as community parking lots, commercial parking lots, office area parking lots, and other parking lot attribute information and parking lot basic information, such as parking lot name, location, etc. The service portrait may include service information used by the user in the parking lot, such as visitor service, monthly card service, etc.

[0061] In an embodiment of the present application, a user account or user information, such as a mobile phone number, name, nickname, etc., can be bound to a license plate number. When a user performs a parking lot service trigger operation, the license plate number can be obtained, and based on the license plate number, the corresponding parking record, payment record, entry and exit data, etc. can be obtained. At the same time, the type of parking lot, geographical location, and user historical service usage data can be obtained, and features can be extracted from the obtained information through a pre-built feature extraction model, such as a linear regression model, a logistic regression model, etc., and user portraits, based on the extracted features, can be constructed and stored respectively. When a parking service trigger operation occurs, the pre-generated user portrait, parking lot portrait, and business portrait can be directly obtained for subsequent parking service recommendations.

[0062] It should be noted that the user portrait, parking lot portrait and business portrait can be updated in real time, that is, the latest parking information, parking lot information and business information can be obtained in real time and used to update the user portrait, parking lot portrait and business portrait, so as to use the latest portrait for subsequent parking business recommendations and improve the accuracy of recommendations.

[0063] In step S120, based on the user portrait, the parking lot portrait, and the business portrait, a user behavior feature of the target user is generated;

[0064] In the embodiment of the present application, after obtaining the user portrait, parking lot portrait and business portrait, the user behavior characteristics can be determined through big data analysis. Alternatively, the user behavior characteristics of the target user can be predicted through a pre-built feature prediction model.

[0065] Optionally, when analyzing user portraits through big data, such as user's historical parking consumption records, such as temporary parking, monthly card, parking space optimization, reservation, and charging. User's historical payment methods, such as automatic authorization deduction methods, such as UnionPay, WeChat payment points, Alipay credit points, Industrial and Commercial Bank of China, etc. Active payment, such as WeChat, Alipay, China Merchants Bank, Wing Payment, etc. And parking lot portraits, such as users often go to parking lots, such as parking lots where the business format is office space, commercial complex, residential area, transportation hub, hospital, school, government unit, etc. And business portraits, such as temporary parking, fixed parking, such as monthly card, stored value card, etc., parking space optimization, refueling, charging, reservation, etc. The user's behavioral characteristics can be mined from a series of information such as the user's historical parking behavior, the relationship between the user and the parking lot, the parking lot attributes, the parking lot's external business, the parking lot opening hours, and the parking lot's traffic location.

[0066] Among them, the user behavior characteristics may specifically include the behavioral attributes corresponding to the user when parking in the parking lot, for example, the parking lot is a community parking lot, and the user is a resident of the community where the community parking lot is located; the parking lot is a commercial parking lot, and the user parks in the commercial parking lot in order to go to a nearby shopping mall for consumption; for example, the parking lot is an office parking lot, and the user parks in the parking lot in order to go to work, etc. It may also include the entry method used by the user to enter the venue, such as visitor entry, monthly card entry, and other behavioral characteristics, whether payment is paid when exiting, whether following the vehicle, and other behavioral characteristics.

[0067] In step S130, corresponding parking services are recommended to the target user based on the user behavior characteristics and the current parking scenario.

[0068] In the embodiment of the present application, the current parking scene specifically refers to the parking state of the current user, such as entering, in the parking lot, leaving, etc. Optionally, when the parking service triggering operation for the target vehicle is realized by scanning the identification code, the identification code can be bound in advance to the location information of the location of the identification code, such as being set at the entry gate, the charging pile in the parking lot, the parking space, or the exit gate, etc. When scanning the code, the location of the identification code can be obtained, thereby determining the current parking scene.

[0069] In the embodiment of the present application, the parking service may specifically include visitor registration service, monthly card payment service, overdue payment service, charging service, temporary parking payment service, unlicensed vehicle entry service and other parking services.

[0070] In the embodiment of the present application, after obtaining the user behavior characteristics and the current parking scene, the priority set by the pre-configured traffic flow specification in the parking lot can be judged in sequence to obtain the parking service that matches it. For example, the current parking scene is an entry scene, that is, the target vehicle is in front of the parking lot entrance. At this time, the vehicle's license plate number can be collected through the gate to determine whether it is an unlicensed vehicle. If it is a licensed vehicle, it is further determined whether it is a temporary vehicle. If it is a temporary vehicle, the visitor registration service is recommended. If it is a non-temporary vehicle, it is released when it meets the release conditions. If it is not a temporary parking, but a monthly card vehicle, it may not be renewed in time due to various reasons, resulting in expiration in the venue and generating temporary parking fees. At this time, the temporary parking payment service or the monthly card payment service can be entered.

[0071] In an embodiment of the present application, a parking service recommendation method is provided, including: in response to a parking service triggering operation for a target vehicle, obtaining a user portrait, a parking lot portrait, and a service portrait; generating a user behavior feature of the target user based on the user portrait, the parking lot portrait, and the service portrait; and recommending a corresponding parking service to the target user based on the user behavior feature and the current parking scene. In an embodiment of the present application, the user behavior feature is obtained through the user portrait, the parking lot portrait, and the service portrait, and the user is automatically matched with a suitable service without setting multiple identification codes, which can reduce the user's workload, improve the user experience, and reduce various costs such as platform, property, or parking space operation materials.

[0072] See also Figure 2 In one embodiment of the present application, before obtaining the user portrait, the parking lot portrait and the business portrait, the following steps are included:

[0073] In step S210, historical parking information, parking lot information, and business information of the target user are obtained;

[0074] In step S220, feature extraction is performed on the historical parking information, parking lot information, and business information to obtain user portrait features, parking lot portrait features, and business portrait features;

[0075] In step S230, based on the user portrait features, parking lot portrait features and business portrait features, a user portrait, a parking lot portrait and a business portrait are generated respectively.

[0076] Among them, the historical parking information may include parking records, entry and exit data, payment records, such as the number of parking times, parking time, temporary vehicle entry, monthly truck entry, whether there is any arrears, and basic information, such as license plate number, vehicle type, etc.

[0077] The parking lot information may include the parking lot type, such as community parking lot, commercial parking lot, office parking lot, etc., the geographical location of the parking lot, the services supported by the parking lot, and other information.

[0078] The service information may specifically include services used by the user in the parking lot in the past period of time, such as one month, such as visitor services, temporary parking payment services, monthly card payment services and other information.

[0079] Optionally, a data pool may be established to store vehicle information, user information, parking lot information, and business information uploaded by multiple parking lot management systems. The above information may be obtained in real time and input into a pre-trained feature extraction model, such as a logistic regression model, a linear regression model, etc., for feature extraction to obtain user portrait features, parking lot portrait features, and business portrait features, and then a user portrait is constructed based on the user portrait features, a parking lot portrait is constructed based on the parking lot portrait features, and a business portrait is constructed based on the business portrait features, and stored, so that when a parking business trigger operation is detected, the license plate number of the target vehicle is obtained based on the binding relationship between the user and the license plate number, and then the corresponding user portrait, parking lot portrait, and business portrait are obtained through the license plate number for subsequent business recommendations.

[0080] It should be noted that the user portrait, parking lot portrait and business portrait can be updated in real time, that is, the latest parking information, parking lot information and business information can be obtained in real time and used to update the user portrait, parking lot portrait and business portrait, so as to use the latest portrait for subsequent parking business recommendations and improve the recommendation matching degree.

[0081] See also Figure 3 In the embodiment of the present application, based on the user behavior characteristics and the current parking scenario, the corresponding parking service is recommended to the target user, including:

[0082] In step S310, based on the current parking scene, it is determined whether the target vehicle is in an entry scene;

[0083] In step S320, if the target vehicle is in the entry scene, it is determined whether the target vehicle is a temporary vehicle based on the user behavior characteristics;

[0084] In step S330, if the target vehicle is a temporary vehicle, it is determined whether the parking lot allows temporary vehicles to park;

[0085] In step S340, if the parking lot does not allow temporary parking of vehicles, it is determined whether the parking lot has opened a visitor service;

[0086] In step S350, if the parking lot has opened a visitor service, the visitor registration service is recommended to the target user.

[0087] Optionally, when the target vehicle is in an entry scene, that is, the target vehicle is currently in front of the parking lot entrance gate, it can be determined based on user behavior characteristics whether the parking lot allows temporary parking of vehicles. If not, it can be determined whether the parking lot has opened a visitor service. If so, the visitor registration service can be recommended to the target user.

[0088] Exemplarily, when the user scans the identification code pasted on the screen or at the entrance through the client, the user portrait, parking lot portrait and business portrait can be obtained to obtain user behavior characteristics, and then the current entry scene can be determined based on the parking scene. Based on the user behavior characteristics, whether the target vehicle is a temporary vehicle can be determined. If so, whether the parking lot allows temporary vehicles to park can be determined. If temporary vehicles are not allowed to park, whether the parking lot allows visitor services can be determined. If so, prompt information can be output, such as prompting the user through a pop-up window that "the parking lot does not allow temporary vehicles, please register before entering", and the "Close button" and "Register button" can be displayed. At this time, if the user clicks the "Close button", it will jump to the guidance to find the parking lot administrator or call the seat for processing. If the user clicks the "Register button", it will jump to the visitor registration page so that the visitor can be registered on the visitor registration page, and the vehicle will be released after the registration is completed.

[0089] See also Figure 4 In one embodiment of the present application, after determining whether a parking lot allows temporary parking of vehicles, the following steps are included:

[0090] In step S410, if the parking lot allows temporary parking of vehicles, it is determined whether the target vehicle has an arrears record;

[0091] In step S420, if the target vehicle has an overdue payment record, the overdue payment service is recommended to the target user.

[0092] Further, after determining whether the parking lot allows temporary parking of vehicles, it also includes:

[0093] In step S430, if the parking lot allows temporary parking of vehicles, it is determined whether the target vehicle is an unlicensed vehicle;

[0094] In step S440, if the target vehicle is an unlicensed vehicle, the unlicensed vehicle admission service is recommended to the target user.

[0095] Optionally, if the parking lot allows temporary vehicles to enter, it can be further determined based on the license plate number of the target vehicle whether the target vehicle has an arrears record. If so, it is determined whether the target vehicle has an arrears record and / or whether the target vehicle is an unlicensed vehicle. If the target vehicle has an arrears record, the arrears payment service is recommended to the target user, otherwise, the normal entry process is carried out. If the target vehicle is an unlicensed vehicle, the unlicensed vehicle admission service is recommended to the target user, otherwise, the normal entry process is entered.

[0096] Exemplarily, when the user scans the identification code pasted on the screen or at the entrance through the client, the user portrait, parking lot portrait and business portrait can be obtained to obtain user behavior characteristics, and then the current entry scene can be determined based on the parking scene. Based on the user behavior characteristics, it can be determined that the parking lot allows temporary parking of vehicles, and then it can be determined whether the target vehicle has an arrears record. If so, prompt information can be entered, such as prompting the user through a pop-up window that "the vehicle has an arrears record in this lot, please make the payment before entering", and displaying the "Close button" and "Make-up payment button". If the user clicks the "Make-up payment button", it will jump to the arrears payment page. If the user clicks the "Close button", it will jump to find the parking lot manager or call the seat for processing.

[0097] Furthermore, it is also possible to determine whether the target vehicle is an unlicensed vehicle. If so, the parking lot allows unlicensed vehicles to enter, and a prompt message is output. For example, a pop-up window can be used to prompt the user, "The current vehicle is an unlicensed vehicle. Do you want to use the unlicensed vehicle to enter?" and display a "Yes button" and a "No button". If the user clicks the "Yes button", it will jump to the unlicensed vehicle entry page. If the user clicks the "No button", it will jump to finding the parking lot manager or calling the seat for processing.

[0098] It should be noted that it is also possible to first determine the unlicensed vehicle and then determine the temporary vehicle. For example, first determine whether the target vehicle is an unlicensed vehicle based on the user's behavior characteristics. If so, determine whether it is a temporary vehicle. If so, recommend the visitor registration service to the target user. Different parking lots may correspond to different traffic flow priorities, so they can be adjusted according to actual needs.

[0099] See also Figure 5 In one embodiment of the present application, based on the user behavior characteristics and the current parking scenario, the corresponding parking service is recommended to the target user, including:

[0100] In step S510, based on the current parking scene, it is determined whether the target vehicle is in the parking lot;

[0101] In step S520, if the target vehicle is in the parking lot, it is determined whether the target vehicle is a monthly pass vehicle based on the user behavior characteristics;

[0102] In step S530, if the target vehicle is a monthly card vehicle, it is determined whether the monthly card of the target vehicle has expired or the remaining usage time is less than the first preset time;

[0103] In step S540, if the monthly card of the target vehicle has expired or the remaining usage time is less than the first preset time, a monthly card renewal service is recommended to the target vehicle.

[0104] Optionally, when the target vehicle is in the parking lot, it can be determined based on user behavior characteristics whether the target vehicle is a monthly card vehicle, and whether its monthly card has expired or the remaining usage time is less than a first preset time, for example, the remaining usage time is less than 3 days. If so, the monthly card renewal service can be recommended to the target user.

[0105] Exemplarily, when a user scans a screen or a pasted identification code in a parking lot through a client, a user portrait, a parking lot portrait, and a business portrait can be obtained to obtain user behavior characteristics. Then, based on the parking scene, it can be determined that the current scene is in a parking lot. At this time, based on the user behavior characteristics, it is determined whether the target user is a monthly card vehicle, and the monthly card has expired or is about to expire. At this time, a prompt message can be output. For example, a pop-up window can be used to prompt the user "The vehicle monthly card has expired, do you want to renew it?" and display a "Yes button" and a "No button". If the user clicks the "Yes button", it will jump to the monthly card renewal page. If the user clicks the "No button", it will jump to the temporary parking payment page.

[0106] See also Figure 5 In one embodiment of the present application, after determining whether the target vehicle is in the parking lot, the following steps are included:

[0107] In step S550, if the target vehicle is in the parking lot, it is determined whether the target vehicle has an arrears record based on the user behavior characteristics;

[0108] In step S560, if the target vehicle has an overdue payment record, the overdue payment service is recommended to the target user.

[0109] Optionally, when the target vehicle is in the parking lot, it can be determined based on the user's behavior characteristics whether the target vehicle has an arrears record. If so, an arrears payment service can be recommended to the target user.

[0110] Exemplarily, when a user scans the screen or pasted identification code in the parking lot through the client, the user portrait, parking lot portrait and business portrait can be obtained to obtain user behavior characteristics, and then the current scene can be determined as a parking lot based on the parking scene. At this time, based on the user behavior characteristics, it is determined whether the target user has an arrears record. If so, a prompt message is output. For example, a pop-up window can be used to prompt the user "The vehicle has an arrears record. Please make the payment first and then pay the fee?", and display the "arrears payment button" and "payment button". If the user clicks the "arrears payment button", it will jump to the arrears payment page. If the user clicks the "payment button", it will jump to the temporary parking payment page.

[0111] It should be noted that the temporary parking payment page refers to the page for paying the parking fee for this time, that is, no overdue payment will be made.

[0112] See also Figure 6 In one embodiment of the present application, based on the user behavior characteristics and the current parking scenario, the user needs of the target user are determined, including:

[0113] In step S610, based on the current parking scene, it is determined whether the target vehicle is in a departure scene;

[0114] In step S620, if the target vehicle is in the departure scene, it is determined whether the target vehicle is a monthly card vehicle based on the user behavior characteristics;

[0115] In step S630, if the target vehicle is a monthly pass vehicle, it is determined whether the monthly pass of the target vehicle has expired or the remaining usage time is less than a second preset time;

[0116] In step S640, if the monthly card of the target vehicle has expired or the remaining usage time is less than the second preset time, a monthly card renewal service is recommended to the target vehicle.

[0117] Optionally, when the target vehicle is in a departure scenario, that is, the target vehicle is currently located at the parking lot exit gate and is preparing to leave, it can be determined based on user behavior characteristics whether the target vehicle is a monthly card vehicle, and whether its monthly card has expired or the remaining usage time is less than a second preset time, for example, the remaining usage time is less than 3 days. If so, the monthly card renewal service can be recommended to the target user.

[0118] Exemplarily, when the user scans the identification code pasted on the screen or at the entrance through the client, the user portrait, parking lot portrait and business portrait can be obtained to obtain user behavior characteristics, and then the current scene can be determined as an exit scene based on the parking scene. At this time, based on the user behavior characteristics, it is determined whether the target user is a monthly card vehicle, and the monthly card has expired or is about to expire. At this time, a prompt message can be output. For example, a pop-up window can be used to prompt the user "The vehicle monthly card has expired, do you want to renew it?", and a "Yes button" and a "No button" can be displayed. If the user clicks the "Yes button", it will jump to the monthly card renewal page. If the user clicks the "No button", it will jump to the temporary parking payment page.

[0119] See also Figure 6 In one embodiment of the present application, after determining whether the target vehicle is in a departure scene, the method includes:

[0120] In step S650, if the target vehicle is in the departure scene, it is determined whether the target vehicle has an arrears record based on the user behavior characteristics;

[0121] In step S660, if the target vehicle has an overdue payment record, the overdue payment service is recommended to the target user.

[0122] Optionally, when the target vehicle is in a departure scenario, it can be determined based on user behavior characteristics whether the target vehicle has an arrears record. If so, an arrears payment service can be recommended to the target user.

[0123] Exemplarily, when a user scans the screen or pasted identification code in the parking lot through the client, the user portrait, parking lot portrait and business portrait can be obtained to obtain user behavior characteristics. Then, based on the parking scene, it can be determined that the current scene is an exit scene. Based on the user behavior characteristics, it can be determined whether the target user has an arrears record. If so, a prompt message is output. For example, a pop-up window can be used to prompt the user, "The vehicle has an arrears record. Please make the payment first and then pay the fee?", and display the "arrears payment button" and "payment button". If the user clicks the "arrears payment button", it will jump to the arrears payment page. If the user clicks the "payment button", it will jump to the temporary parking payment page.

[0124] It should be noted that the temporary parking payment page refers to the page for paying the parking fee for this time, that is, no overdue payment will be made.

[0125] In one embodiment of the present application, in response to a parking service triggering operation for a target vehicle, the operation includes:

[0126] In response to the target user scanning the target identification code to trigger the parking service for the target vehicle, the target identification code is a composite code formed by integrating identification codes corresponding to multiple different parking services.

[0127] Optionally, a target identification code may be set at any location in the parking lot, such as at the parking lot entrance gate, exit gate, parking space, etc. The identification code may be a dynamic identification code or a static identification code. When a user needs to use the parking service of the parking lot, the user may scan the code through the client to trigger the parking service corresponding to the target vehicle of the target user.

[0128] It should be noted that the target identification code is a composite code obtained by integrating the identification codes corresponding to multiple different parking services, such as visitor service, exit service, parking space search service, charging service, etc. That is, the user only needs to scan the code once to display the corresponding parking service interface to the user for use according to the current parking scene and user behavior characteristics. The user does not need to find the identification code corresponding to the parking service he needs and scan the code. If multiple parking services are required, multiple code search and scanning operations are required, and the scanning operation needs to be repeated if the scanning error occurs. This can effectively save user time and improve user experience. For the parking lot, there is no need to paste multiple identification codes, which can not only improve the cleanliness of the parking lot, but also improve the efficiency of parking business handling.

[0129] In an embodiment of the present application, when the user scans the code, the user behavior characteristics can be obtained through the user portrait, parking lot portrait and business portrait, and the user can be automatically matched with suitable services. There is no need to set multiple identification codes. The user only needs to scan the code once to complete the business closed loop, which can reduce the user's workload, improve user experience, and reduce various costs such as platform, property or parking space operating materials.

[0130] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0131] In one embodiment, a parking service recommendation device is provided, and the parking service recommendation device corresponds to the parking service recommendation method in the above embodiment. Figure 7 As shown, the parking service recommendation device includes a portrait acquisition unit 10, a user behavior feature generation unit 20 and a parking service recommendation unit 30. The functional modules are described in detail as follows:

[0132] A portrait acquisition unit 10, for acquiring a user portrait, a parking lot portrait, and a business portrait in response to a parking business trigger operation for a target vehicle;

[0133] A user behavior feature generating unit 20, for generating user behavior features of a target user based on a user profile, a parking lot profile, and a business profile;

[0134] The parking service recommendation unit 30 is used to recommend corresponding parking services to target users based on user behavior characteristics and current parking scenarios.

[0135] In one embodiment of the present application, the device further includes a portrait generating unit, which is used to:

[0136] Obtain the target user's historical parking information, parking lot information, and business information;

[0137] Feature extraction is performed on historical parking information, parking lot information, and business information to obtain user portrait features, parking lot portrait features, and business portrait features;

[0138] Based on the user portrait features, parking lot portrait features and business portrait features, the user portrait, parking lot portrait and business portrait are generated respectively.

[0139] In one embodiment of the present application, the parking service recommendation unit 30 is further configured to:

[0140] Based on the current parking scene, determine whether the target vehicle is in the entry scene;

[0141] If the target vehicle is in the entry scene, determine whether the target vehicle is a temporary vehicle based on the user's behavior characteristics;

[0142] If the target vehicle is a temporary vehicle, determining whether the parking lot allows temporary vehicles to park;

[0143] If the parking lot does not allow temporary parking of vehicles, determine whether the parking lot has opened visitor services;

[0144] If the parking lot has opened visitor services, the visitor registration service will be recommended to the target users.

[0145] In one embodiment of the present application, the parking service recommendation unit 30 is further configured to:

[0146] If the parking lot allows temporary parking of vehicles, then determine whether the target vehicle has an arrears record;

[0147] If the target vehicle has a record of overdue payments, the overdue payment service will be recommended to the target user;

[0148] In one embodiment of the present application, the parking service recommendation unit 30 is further configured to:

[0149] If the parking lot allows temporary parking of vehicles, then determine whether the target vehicle is an unlicensed vehicle;

[0150] If the target vehicle is an unlicensed vehicle, the unlicensed vehicle entry service will be recommended to the target user.

[0151] In one embodiment of the present application, the parking service recommendation unit 30 is further configured to:

[0152] Based on the current parking scene, determine whether the target vehicle is in the parking lot;

[0153] If the target vehicle is in the parking lot, it is determined whether the target vehicle is a monthly pass vehicle based on the user's behavior characteristics;

[0154] If the target vehicle is a monthly card vehicle, determining whether the monthly card of the target vehicle has expired or the remaining usage time is less than a first preset time;

[0155] If the monthly card of the target vehicle has expired or the remaining usage time is less than the first preset time, the monthly card renewal service is recommended to the target vehicle.

[0156] In one embodiment of the present application, the parking service recommendation unit 30 is further configured to:

[0157] If the target vehicle is in the parking lot, determine whether the target vehicle has an arrears record based on the user's behavior characteristics;

[0158] If the target vehicle has an arrears record, the arrears payment service will be recommended to the target user.

[0159] In one embodiment of the present application, the parking service recommendation unit 30 is further configured to:

[0160] Based on the current parking scene, determine whether the target vehicle is in the departure scene;

[0161] If the target vehicle is in the departure scene, it is determined whether the target vehicle is a monthly pass vehicle based on the user's behavior characteristics;

[0162] If the target vehicle is a monthly card vehicle, determining whether the monthly card of the target vehicle has expired or the remaining usage time is less than a second preset time;

[0163] If the monthly card of the target vehicle has expired or the remaining usage time is less than the second preset time, the monthly card renewal service is recommended to the target vehicle.

[0164] In one embodiment of the present application, the parking service recommendation unit 30 is further configured to:

[0165] If the target vehicle is in the departure scene, determine whether the target vehicle has an arrears record based on the user's behavior characteristics;

[0166] If the target vehicle has an arrears record, the arrears payment service will be recommended to the target user.

[0167] In one embodiment of the present application, the image acquisition unit 10 is further used to:

[0168] In response to a parking service trigger operation for a target vehicle, the method includes:

[0169] In response to the target user scanning the target identification code to trigger the parking service for the target vehicle, the target identification code is a composite code formed by integrating identification codes corresponding to multiple different parking services.

[0170] In an embodiment of the present application, when a user scans a code, the user behavior characteristics can be obtained through the user portrait, parking lot portrait and business portrait, and the user can be automatically matched with suitable services. There is no need to set multiple identification codes. The user only needs to operate once to complete the business closed loop, which can reduce the user's workload, improve user experience, and reduce various costs such as platform, property or parking space operating materials.

[0171] The specific definition of the parking service recommendation device can be found in the definition of the parking service recommendation method above, which will not be repeated here. Each module in the above parking service recommendation device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0172] In one embodiment, a computer device is provided. The computer device may be a terminal device, and its internal structure diagram may be as follows: Figure 8 As shown. The computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a readable storage medium. The readable storage medium stores computer-readable instructions. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer-readable instructions are executed by the processor, a parking business recommendation method is implemented. The readable storage medium provided in this embodiment includes a non-volatile readable storage medium and a volatile readable storage medium.

[0173] In an embodiment of the present application, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor. When the processor executes the computer-readable instructions, the steps of the parking service recommendation method described above are implemented.

[0174] In an embodiment of the application, a readable storage medium is provided, which stores computer-readable instructions. When the computer-readable instructions are executed by a processor, the steps of the parking service recommendation method as described above are implemented.

[0175] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware through computer-readable instructions, and the computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When the computer-readable instructions are executed, they may include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0176] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0177] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A parking service recommendation method, It is characterized in that The method comprises: In response to a parking service triggering operation for a target vehicle, obtaining a user profile, a parking lot profile, and a service profile; Generate user behavior characteristics of the target user based on the user portrait, parking lot portrait, and business portrait; Based on the user behavior characteristics and the current parking scenario, corresponding parking services are recommended to the target user.

2. The parking service recommendation method according to claim 1, It is characterized in that Before obtaining the user portrait, parking lot portrait and business portrait, the following steps are included: Obtaining historical parking information, parking lot information, and business information of the target user; Extracting features from the historical parking information, parking lot information, and business information respectively to obtain user portrait features, parking lot portrait features, and business portrait features; Based on the user portrait features, parking lot portrait features and business portrait features, the user portrait, parking lot portrait and business portrait are generated respectively.

3. The parking service recommendation method according to claim 1, It is characterized in that The recommending corresponding parking services to the target user based on the user behavior characteristics and the current parking scenario includes: Based on the current parking scene, determining whether the target vehicle is in an entry scene; If the target vehicle is in the entry scene, determining whether the target vehicle is a temporary vehicle based on the user behavior characteristics; If the target vehicle is a temporary vehicle, determining whether the parking lot allows temporary vehicles to park; If the parking lot does not allow temporary parking of vehicles, determining whether the parking lot has opened visitor services; If the parking lot has opened a visitor service, the visitor registration service is recommended to the target user.

4. The parking service recommendation method according to claim 3, It is characterized in that After determining whether the parking lot allows temporary parking of vehicles, the method includes: If the parking lot allows temporary parking of vehicles, determining whether the target vehicle has an arrears record; If the target vehicle has an overdue payment record, the overdue payment service is recommended to the target user.

5. The parking service recommendation method according to claim 3, It is characterized in that After determining whether the parking lot allows temporary parking of vehicles, the method includes: If the parking lot allows temporary parking of vehicles, determining whether the target vehicle is an unlicensed vehicle; If the target vehicle is an unlicensed vehicle, the unlicensed vehicle admission service is recommended to the target user.

6. The parking service recommendation method according to claim 1, It is characterized in that The recommending corresponding parking services to the target user based on the user behavior characteristics and the current parking scenario includes: Based on the current parking scene, determining whether the target vehicle is in the parking lot; If the target vehicle is in the parking lot, determining whether the target vehicle is a monthly pass vehicle based on the user behavior characteristics; If the target vehicle is a monthly card vehicle, determining whether the monthly card of the target vehicle has expired or the remaining usage time is less than a first preset time; If the monthly card of the target vehicle has expired or the remaining usage time is less than the first preset time, a monthly card renewal service is recommended to the target vehicle.

7. The parking service recommendation method according to claim 6, It is characterized in that After determining whether the target vehicle is in the parking lot, the method further comprises: If the target vehicle is in the parking lot, determining whether the target vehicle has an arrears record based on the user behavior characteristics; If the target vehicle has an overdue payment record, the overdue payment service is recommended to the target user.

8. The parking service recommendation method according to claim 1, It is characterized in that The recommending corresponding parking services to the target user based on the user behavior characteristics and the current parking scenario includes: Based on the current parking scene, determining whether the target vehicle is in a departure scene; If the target vehicle is in a departure scene, determining whether the target vehicle is a monthly pass vehicle based on the user behavior characteristics; If the target vehicle is a monthly card vehicle, determining whether the monthly card of the target vehicle has expired or the remaining usage time is less than a second preset time; If the monthly card of the target vehicle has expired or the remaining usage time is less than the second preset time, a monthly card renewal service is recommended to the target vehicle.

9. The parking service recommendation method according to claim 1, It is characterized in that The triggering operation in response to the parking service for the target vehicle includes: In response to the target user scanning the target identification code to trigger the parking service for the target vehicle, the target identification code is a composite code formed by integrating identification codes corresponding to multiple different parking services.

10. A parking service recommendation device, It is characterized in that The device comprises: A portrait acquisition unit, configured to acquire a user portrait, a parking lot portrait, and a business portrait in response to a parking business trigger operation for a target vehicle; A user behavior feature generating unit, configured to generate user behavior features of a target user based on the user portrait, parking lot portrait, and business portrait; A parking service recommendation unit is used to recommend corresponding parking services to the target user based on the user behavior characteristics and the current parking scenario.

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