Advertisement guidance method, device and advertisement guidance system

Abstract

The embodiment of the present application is applicable to the field of Internet advertising technology, and provides an advertising guidance method, device and advertising guidance system, the method comprising: determining multiple shopping addresses associated with the current advertising position, any of the shopping addresses having multiple pre-configured influencing factors; calculating the recommendation index of each shopping address according to the multiple influencing factors; adjusting the address information displayed in real time in the advertising screen according to the recommendation index, the address information also includes QR code information; when the QR code information is scanned by a terminal device held by a user, obtaining the user information stored in the terminal device; determining a target address matching the user from the multiple shopping addresses according to the user information; and generating advertising guidance information based on the target address. The above method can be used to dynamically guide users according to the actual situation of the shopping place, thereby improving the user's shopping satisfaction and convenience.

Description

Technical Field

[0001] The embodiments of the present application belong to the field of Internet advertising technology, and in particular, relate to an advertising guidance method, device, and advertising guidance system. Background Art

[0002] Outdoor advertising refers to neon lights, billboards, posters, etc. set up on the exterior of buildings or in outdoor public places such as streets and squares. Outdoor advertising can be displayed for a long time in a fixed location, which has a significant effect on increasing brand awareness. With the advancement of technology, more and more outdoor advertising has begun to be displayed in the form of video, which enhances the interest of advertising and its appeal to users.

[0003] Typically, outdoor video ads will also display the specific address where the product involved in the ad can be purchased during the display period, that is, the video ad can display the shopping address. However, there may be multiple shopping addresses for the product, and users may not be able to accurately determine the best shopping address based on the information displayed in the video ad. For example, for a certain chain clothing brand, the information displayed in the video ad also includes the addresses of multiple specialty stores of the chain clothing brand. If the user is not familiar with the vicinity of the addresses of the above multiple specialty stores, it is difficult to quickly determine the best shopping address from the multiple addresses. Summary of the invention

[0004] In view of this, the embodiments of the present application provide an advertising guidance method, device and advertising guidance system, which are used to add corresponding guidance information to the displayed advertisements according to the current actual situation of each shopping place, dynamically guide users to suitable shopping places, and improve user shopping satisfaction and convenience.

[0005] A first aspect of an embodiment of the present application provides an advertisement guidance method, comprising:

[0006] Determining a plurality of shopping addresses associated with the current advertisement location, any of the shopping addresses having a plurality of pre-configured influencing factors;

[0007] Calculating a recommendation index for each shopping address according to the plurality of influencing factors, the recommendation index being used to indicate a priority of the corresponding shopping address being recommended to the user;

[0008] Adjusting the address information displayed in real time in the advertisement screen according to the recommendation index, wherein the address information also includes QR code information;

[0009] When the QR code information is scanned by a terminal device held by a user, the user information stored in the terminal device is obtained;

[0010] Determine a target address matching the user from the plurality of shopping addresses according to the user information;

[0011] Advertisement guidance information is generated based on the target address, and the advertisement guidance information is used to guide the user to go to the target address.

[0012] Optionally, the multiple influencing factors include at least one of the following factors: commodity inventory information, business hours information, real-time crowd flow information, and traffic information; and calculating the recommendation index of each shopping address according to the multiple influencing factors includes:

[0013] Determine whether the commodity inventory information is less than a preset amount and whether the current time is within the range of the business hours information;

[0014] If the commodity inventory information is greater than or equal to the preset amount and the current time is within the business hours information range, each of the influencing factors is quantified into a corresponding information value, and any of the influencing factors has a corresponding weight;

[0015] Based on the weight and the information value corresponding to each of the influencing factors, a recommendation index of each of the shopping addresses is calculated.

[0016] Optionally, adjusting the address information displayed in real time in the advertisement screen according to the recommendation index includes:

[0017] Determining a shopping address to be recommended according to the recommendation index;

[0018] respectively determining different guidance methods for the shopping address to be recommended and other shopping addresses;

[0019] According to the determined different guidance methods, the address information of the shopping address to be recommended and the other shopping addresses and the QR code information corresponding to the address information are respectively displayed in the current advertisement screen.

[0020] Optionally, the user information includes schedule information, and determining a target address matching the user from a plurality of shopping addresses according to the user information includes:

[0021] Determine the associated address corresponding to the schedule information in the user information;

[0022] Establishing respectively a planned route between the associated address and each shopping address to be recommended, and calculating a convenience index of the planned route;

[0023] If there is at least one convenience index greater than or equal to a preset value, determining the shopping address to be recommended corresponding to the maximum value of the convenience index as the target address matching the user;

[0024] Otherwise, the convenience index of the planned route between the associated address and each other shopping address is calculated, and the shopping address corresponding to the maximum value of all the calculated convenience indexes is determined as the target address matching the user.

[0025] Optionally, the calculating the convenience index of the planned route includes:

[0026] Determining the route length of each of the planned routes and the route time calculated based on the current road conditions;

[0027] The convenience index of each of the planned routes is determined according to the route length and the route time.

[0028] Optionally, generating advertisement guidance information based on the target address includes:

[0029] Controlling the start of a map application in the terminal device;

[0030] The target address is sent to the map application so that the map application generates navigation information to the target address.

[0031] Optionally, it also includes:

[0032] Receive confirmation information submitted by the user for the advertising guide information, and update the influencing factors of the target address according to the confirmation information to recalculate the recommendation index of each shopping address; wherein the confirmation information at least includes number of people information and transportation information.

[0033] A second aspect of an embodiment of the present application provides an advertising guidance device, including:

[0034] A determination module, used to determine a plurality of shopping addresses associated with the current advertisement position, any of the shopping addresses having a plurality of pre-configured influencing factors;

[0035] A calculation module, used to calculate the recommendation index of each shopping address according to the multiple influencing factors, wherein the recommendation index is used to indicate the priority of the corresponding shopping address being recommended to the user;

[0036] An adjustment module, used for adjusting the address information displayed in real time in the advertisement screen according to the recommendation index, wherein the address information also includes QR code information;

[0037] An acquisition module, used for acquiring user information stored in a terminal device when the two-dimensional code information is scanned by the terminal device held by the user;

[0038] A matching module, used for determining a target address matching the user from the plurality of shopping addresses according to the user information;

[0039] A generating module is used to generate advertisement guidance information based on the target address, wherein the advertisement guidance information is used to guide the user to go to the target address.

[0040] A third aspect of an embodiment of the present application provides a server, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the advertising guidance method as described in the first aspect above when executing the computer program.

[0041] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the advertising guidance method as described in the first aspect above is implemented.

[0042] A fifth aspect of the embodiments of the present application provides a computer program product. When the computer program product is run on a computer, the computer is enabled to execute the advertising guidance method described in the first aspect.

[0043] A sixth aspect of an embodiment of the present application provides an advertising guidance system, including a background server and an advertising guidance device; wherein the background server is used to implement the advertising guidance method as described in any one of claims 1-7.

[0044] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0045] In the embodiment of the present application, by determining multiple shopping addresses associated with the current advertising position, the recommendation index of each shopping address can be calculated according to the multiple influencing factors pre-configured for each shopping address, and the recommendation index can be used to indicate the priority of the corresponding shopping address being recommended to the user. In this way, the shopping address with a higher recommendation index has a higher priority, and the shopping address will be recommended to the user first. When recommending to the user, the address information displayed in real time in the advertising screen can be adjusted according to the recommendation index. Through the above operation, shopping guidance for most users can be achieved, so that the user can go to a suitable shopping address for shopping. On this basis, the address information displayed in the advertising screen can also include QR code information, which can be used to provide differentiated shopping address recommendations to the user. Specifically, when the QR code information is scanned by a terminal device held by the user, by obtaining the user information stored in the terminal device, the advertising guidance system can determine the target address matching the user from multiple shopping addresses according to the user information. The above target address can be different from the shopping address with the highest recommendation index in the aforementioned displayed address information, and belongs to personalized recommendation information matching the specific situation of the user. In this way, the advertising guidance system can generate advertising guidance information based on the target address to guide the user to the target address. By applying the method provided in the embodiments of the present application, it is possible to add corresponding guidance information to the displayed advertisements according to the current actual situation of each shopping place, dynamically guide users to suitable shopping places, thereby improving user shopping satisfaction and convenience, and also to implement personalized recommendations, further improving the user experience during the shopping process. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or prior art descriptions. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0047] Figure 1 is a schematic diagram of an advertising guidance method provided in an embodiment of the present application;

[0048] Figure 2 is a schematic diagram of an advertising guidance system provided by an embodiment of the present application;

[0049] Figure 3 It is a schematic diagram of an implementation method of step S103 in an advertisement guidance method provided in an embodiment of the present application;

[0050] Figure 4 is a schematic diagram of a planned route provided in an embodiment of the present application;

[0051] Figure 5 It is a schematic diagram of an implementation method of step S106 in an advertisement guidance method provided in an embodiment of the present application;

[0052] Figure 6 is a schematic diagram of an advertising guidance device provided in an embodiment of the present application;

[0053] Figure 7 It is a schematic diagram of a server provided in an embodiment of the present application. DETAILED DESCRIPTION

[0054] In the following description, specific details such as specific system structures, technologies, etc. are proposed for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from hindering the description of the present application.

[0055] The technical solution of the present application is described below through specific embodiments.

[0056] Reference Figure 1 , shows a schematic diagram of an advertisement guidance method provided by an embodiment of the present application, which may specifically include the following steps:

[0057] S101. Determine a plurality of shopping addresses associated with a current advertisement location, wherein any of the shopping addresses has a plurality of pre-configured influencing factors.

[0058] It should be noted that the method can be applied to electronic devices or servers, that is, the execution subject of the embodiments of the present application can be an electronic device or a server.

[0059] For example, if an electronic device is used as the execution subject of this method, the electronic device may be an advertising guidance device, and the advertising guidance device may be configured with corresponding algorithms. In the process of playing or displaying video advertisements by the advertising guidance device, the functions involved in each step of the advertising guidance method provided in the embodiment of the present application may be implemented based on these algorithms. That is, the advertising guidance device may adjust the address information displayed in real time in the advertisement screen by itself, and implement interaction with the user, and provide the user with advertising guidance information that matches the user.

[0060] If the server is used as the executor of this method, the electronic device may be a background server, and the background server may constitute an advertising guidance system with the advertising guidance device. The advertising guidance system may have functions such as advertising publishing, information processing, and interactive response. At this time, the advertising guidance device may only have basic video advertising playback or display functions, such as an electronic device with a display function. The functions involved in each step of the advertising guidance method provided in the embodiment of the present application can be implemented by a background server, and the background server can communicate with the front-end advertising guidance device, send the relevant information that needs to be displayed to the advertising guidance device, and display it through the advertising guidance device. Among them, the relevant information that needs to be displayed may be the address information that needs to be displayed in real time in the advertising screen after adjustment.

[0061] For ease of understanding, the embodiment of the present application is described in detail with the execution subject being a server, that is, the background server introduced above, as an example.

[0062] like Figure 2 FIG. 1 is a schematic diagram of an advertising guidance system provided by an embodiment of the present application. The advertising guidance system may include a backend server 200 as an execution subject of the embodiment of the present application, and a backend server 200 that can be used with Figure 2 Multiple advertising guidance devices communicating with the backend server 200, namely Figure 2 Advertising guidance device 1, advertising guidance device 2, ... advertising guidance device n, etc. These advertising guidance devices can be spread all over the place. For example, advertising guidance devices can be installed in public squares, subway platforms or station halls, bus stops, building exterior walls, etc., and the background server can uniformly control the advertising information released by each advertising guidance device. As an example of an embodiment of the present application, the advertising guidance device can be an independently configured electronic device, or it can be obtained by configuring modules that implement related functions in other devices. For example, by integrating advertising publishing and guidance functions in a traffic information publishing system installed at a bus stop, the electronic device used for traffic information publishing can be used as an advertising guidance device in the advertising guidance system, thereby expanding the scope of application of the advertising guidance system provided by the embodiment of the present application.

[0063] In the embodiment of the present application, the current advertisement location may be the installation location of a certain advertisement guidance device, for example Figure 2 The installation position of the advertising guidance device 1 in the advertisement guidance device 1. In one example, the carrier of the advertising guidance device can be a mobile robot. Since the mobile robot is movable, its position may change in real time. Therefore, in the case where the position of the advertising guidance device may change, the current advertisement position can be determined according to the current real-time position of the advertising guidance device. The movable advertising guidance device can determine the current real-time position through the positioning module and feed it back to the background server as the current advertisement position.

[0064] The multiple shopping addresses associated with the current advertising location may be addresses of merchants or stores that sell the goods involved in the corresponding advertisement, and these merchant or store addresses are located within a certain range of the current advertising location. For example, if the current advertisement is a clothing advertisement, the multiple shopping addresses associated with the current advertising location may be addresses of multiple nearby clothing stores or clothing chain stores. When the advertising guidance device plays the above clothing advertisement, it can simultaneously display multiple nearby shopping addresses on the screen, and users can purchase the clothing mentioned in the advertisement at these shopping addresses.

[0065] The multiple influencing factors pre-configured for the shopping address may be factors that affect the convenience of the user going from the current location, i.e., the current advertisement location, to the corresponding shopping address for shopping. For example, the traffic conditions from the current advertisement location to each shopping address, such as ground traffic congestion, underground traffic congestion; real-time flow of people data for each shopping address, such as the number of people queuing in the store, the overall flow of people in the shopping mall, etc.

[0066] In the embodiment of the present application, the backend server may process each advertising guidance device separately during the process of executing each step of the method. For example, the backend server may process Figure 2 The information of each advertising guidance device is used to determine the current advertising position of each advertising guidance device, and multiple shopping addresses associated with each current advertising position and their corresponding influencing factors are determined.

[0067] S102. Calculate a recommendation index for each shopping address based on the multiple influencing factors, where the recommendation index is used to indicate a priority of the corresponding shopping address being recommended to the user.

[0068] In the embodiment of the present application, the recommendation index of each shopping address may indicate the priority of the shopping address to be recommended to the user in the current time period, wherein a higher recommendation index indicates that the shopping address may have a higher priority to be recommended to the user.

[0069] The above recommendation index can be calculated based on the influencing factors of each shopping address. For example, the shopping addresses can be sorted according to the distance, and then the sorting can be adjusted in combination with other factors such as the current real-time flow of people at each shopping address, and the recommendation index of each shopping address can be determined according to the final sorting result.

[0070] In a possible implementation of the embodiment of the present application, the above-mentioned multiple influencing factors may include at least one of the following factors: commodity inventory information, business hours information, real-time traffic information and traffic information. Among them, the commodity inventory information can be used to indicate the inventory of commodities at each shopping address, and the commodity inventory is the inventory of commodities corresponding to the advertisement. The above-mentioned commodity inventory information can be obtained by establishing an association between the advertising guidance system and the commodity sales system, and obtaining sales data from the commodity sales system in real time; or, the merchant regularly feeds back information to the advertising guidance system. When the commodity inventory information corresponding to a shopping address is zero, it means that the shopping address no longer provides the sale of the corresponding advertisement commodity. The business hours information can indicate whether the shopping address is currently in business. If the current time is not within the business hours information range, that is, the shopping address is currently closed or closed, the shopping address no longer provides the sale of the corresponding advertisement commodity. Real-time traffic information can indicate the traffic flow of the shopping address, such as the number of people queuing in front of a food store, the overall traffic flow in the shopping plaza, etc. Traffic information can indicate the traffic convenience from the current advertisement location to each shopping address. The above-mentioned traffic information may include multiple types, such as ground traffic congestion, underground traffic congestion such as subways and urban rails, and road congestion when users go there by walking or riding. In different scenarios, the background server can select one of them as the preferred traffic information. For example, if the advertising guidance device is installed on a pedestrian street or a city park, the background server may give priority to road congestion under walking or riding conditions as the traffic information to be considered, indicating that the user has a greater probability of walking or riding to each shopping address; if the advertising guidance device is installed at a highway service station, the background server may give priority to ground traffic congestion as the traffic information to be considered, indicating that the user has a greater probability of driving to each shopping address. Accordingly, when calculating the recommendation index of a shopping address, factors such as the convenience of parking at the shopping address may also be considered.

[0071] When calculating the recommendation index of each shopping address based on multiple influencing factors, the backend server can first determine whether the inventory information of the goods in the merchants or stores at each shopping address is less than the preset amount and whether the current time is within the business hours information range. If the inventory information of the goods is greater than or equal to the preset amount and the current time is within the business hours information range, it means that the merchant or store at the corresponding address is in normal business. At this time, the backend server can quantify each influencing factor into a corresponding information value, assign a corresponding weight to each influencing factor, and then calculate the recommendation index of each shopping address based on the weight and the information value corresponding to each influencing factor. The higher the calculated recommendation index, the more likely the corresponding shopping address is to be recommended to the user first.

[0072] S103: adjusting the address information displayed in real time in the advertisement screen according to the recommendation index, wherein the address information also includes QR code information.

[0073] In an embodiment of the present application, the address information of multiple shopping addresses may be displayed in the initially displayed advertising screen. After the background server calculates the recommendation index of each shopping address, the advertising guidance device may adjust the address information displayed in real time in the advertising screen according to the recommendation index. For example, shopping addresses with higher recommendation indexes may be displayed above other addresses, or shopping addresses with higher recommendation indexes may be highlighted in different colors, different fonts, or different sizes that can be distinguished from other addresses. In this way, users may be guided to give priority to shopping at recommended shopping addresses to obtain a better shopping experience.

[0074] In a possible implementation of the embodiment of the present application, as Figure 3 As shown, adjusting the address information displayed in real time in the advertisement screen according to the recommendation index in S103 may specifically include the following steps S1031-S1033:

[0075] S1031. Determine a shopping address to be recommended according to the recommendation index.

[0076] In the embodiment of the present application, the shopping address corresponding to the higher recommendation index can be selected as the shopping address to be recommended. For example, when the influencing factors of each shopping address are quantified, the shopping address with a recommendation index greater than a preset value in the final calculation can be selected as the shopping address to be recommended.

[0077] S1032: Determine different guidance methods for the shopping address to be recommended and other shopping addresses respectively.

[0078] In the embodiment of the present application, for the shopping address to be recommended and other shopping addresses, the advertising guidance device can use different guidance methods to display the respective address information. The backend server can determine the different guidance methods for the shopping address to be recommended and other shopping addresses according to actual needs, and send the corresponding information to the advertising guidance device to instruct the advertising guidance device to display the address information according to the corresponding guidance method.

[0079] S1033. According to the determined different guidance methods, the address information of the shopping address to be recommended and the other shopping addresses and the QR code information corresponding to the address information are respectively displayed in the current advertisement screen.

[0080] After determining that the shopping address to be recommended is different from other shopping addresses in guidance mode, the advertising guidance device can display the address information of the shopping address to be recommended and other shopping addresses in the current advertising screen. The above operation of the advertising guidance device can be implemented under the instruction of the background server.

[0081] In a possible implementation of the embodiment of the present application, the guidance advertisements that can be used by the advertising guidance device may be related to the display functions that the device has, and different advertising guidance devices may have different display functions. For example, the font size of the address information may be adjusted, the font color of the address information may be changed, etc.; or, the information displayed in certain video frames of the original video advertisement may be replaced with the address information of the shopping address to be recommended, thereby prominently displaying the shopping address to be recommended to the user.

[0082] The displayed address information may be a shopping address suitable for most users. That is, for most users, they can go shopping according to the displayed address information, thereby obtaining a better shopping experience.

[0083] In a possible implementation of the embodiment of the present application, the advertising guidance device can also provide differentiated guidance information for some users. The differentiated guidance information can be displayed to the user in the form of a QR code. Therefore, when the advertising guidance device displays the adjusted address information of each shopping address, it can also simultaneously display a QR code in the advertising screen for the user to scan, prompting the user to obtain personalized advertising guidance information by scanning the QR code.

[0084] S104: When the two-dimensional code information is scanned by a terminal device held by the user, the user information stored in the terminal device is obtained.

[0085] In an embodiment of the present application, differentiated and personalized advertising guidance information can be generated based on user information. The operation of the advertising guidance device and the backend server to obtain user information can be obtained after the user uses a terminal device such as a mobile phone to scan the QR code information in the advertisement screen. After the user uses the terminal device to scan the QR code, the advertising guidance system can prompt the user to enter his or her user information in the terminal device interface, or request the user to authorize the advertising guidance system to collect user information from the terminal device.

[0086] For example, the user information may include the user's shopping preferences, daily consumption habits, etc.

[0087] S105: Determine a target address matching the user from the multiple shopping addresses according to the user information.

[0088] In an embodiment of the present application, after obtaining user information, the backend server in the advertising guidance system can determine a target address that matches the user from multiple shopping addresses based on the user information.

[0089] In a possible implementation of the embodiment of the present application, the user information obtained by the backend server may include the user's schedule information, which may indicate one or more tasks that the user needs to complete today. For example, a certain schedule information may indicate that the user needs to go to a specific address today, such as a gym or bank located at a certain address. Therefore, when the backend server matches the target address for the user based on the user information, it needs to comprehensively consider the influence of multiple addresses and provide the most appropriate guidance information for the user as much as possible.

[0090] In an embodiment of the present application, the background server can determine the associated address corresponding to the schedule information in the user information, such as the gym or bank mentioned in the above example. Then, the background server can respectively establish a planned route between this associated address and each shopping address to be recommended, and calculate the convenience index of the planned route. If there is at least one convenience index greater than or equal to a preset value, the shopping address to be recommended corresponding to the maximum value in the convenience index can be determined as the target address that matches the user. If the convenience index corresponding to each shopping address to be recommended is less than the preset value, the background service can calculate the convenience index of the planned route between the associated address and each other shopping address, and then determine the shopping address corresponding to the maximum value of all calculated convenience indexes as the target address that matches the user.

[0091] In a possible implementation of the embodiment of the present application, the convenience index of the planned route can be calculated by respectively determining the route length of each planned route and the route time calculated based on the current road conditions. For example, a planned route with a shorter route length and / or a shorter route time can indicate that it is easier for the user to go, so the convenience index of the route can be relatively high.

[0092] In another possible implementation of the embodiment of the present application, the convenience index of the planned route may be calculated by considering the order in which the user visits the associated address and each shopping address. The convenience index of the same planned route calculated in different orders may be different.

[0093] like Figure 4 , which is a schematic diagram of a planned route provided in an embodiment of the present application. Figure 4 In (a), the current advertising location P and multiple shopping addresses are shown, namely Figure 4 In (a), shopping address 1, shopping address 2, shopping address 3 and shopping address 4, assuming Figure 4The location x in (a) is the associated address, then the shopping addresses to be recommended determined by the backend server may include shopping address 1, shopping address 3 and shopping address 4, and the corresponding planned routes may include:

[0094] Planned route r1: current advertising location P-shopping address 1-associated address x;

[0095] Planned route r2: current advertising location P-shopping address 3-associated address x;

[0096] Planned route r3: current advertising location P-associated address x-shopping address 4.

[0097] The backend server can determine the convenience index of each planned route according to the actual situation of each route, so as to use the address corresponding to the most convenient route as the target address.

[0098] In another possible implementation of the embodiment of the present application, the backend server may also consider the user's home address as an associated address. The home address may be read from the user's terminal device with the user's authorization, or may be provided to the backend server of the advertising guidance system by the user operating on the terminal device.

[0099] like Figure 4 As shown in (b), the user's home address F is shown, and the above-mentioned planned route can be adjusted accordingly:

[0100] Planned route R1: current advertising location P-shopping address 1-associated address x-home address F;

[0101] Planned route R2: current advertising location P-shopping address 3-associated address x-home address F;

[0102] Planned route R3: current advertising location P-associated address x-shopping address 4-home address F.

[0103] In this way, the backend server can determine the convenience index of each planned route based on more detailed information, thereby determining a more appropriate target address.

[0104] S106: Generate advertisement guidance information based on the target address, where the advertisement guidance information is used to guide the user to go to the target address.

[0105] Assume that the final target address is Figure 4 For the shopping address 4 in (b), the backend server can generate advertising guidance information for the target address to guide the user to go to the above shopping address 4 for shopping.

[0106] In the embodiment of the present application, the advertising guidance information may be generated by the backend server and sent directly to the terminal device, or may be generated by the backend server and forwarded by the advertising guidance device to the terminal device held by the user. The advertising guidance information may include specific instruction information for the user to go from the current location to the target address.

[0107] In a possible implementation of the embodiment of the present application, as Figure 5 As shown, generating advertisement guidance information based on the target address in S106 may specifically include the following steps S1061-S1062:

[0108] S1061: Control and start a map application in the terminal device.

[0109] In the embodiment of the present application, the process of guiding the user to the target address can be implemented by a map application on the terminal device. Therefore, the background server can control the start of the map application on the terminal device.

[0110] S1062: Send the target address to the map application so that the map application generates navigation information to the target address.

[0111] Then, the backend server may send the target address to the map application, which will generate and broadcast navigation information to the target address to guide the user to the target address.

[0112] In the embodiment of the present application, the navigation information may be different according to the different ways in which the user goes to the target address. For example, when the user drives to the target address, the navigation information may be driving navigation information generated by a map application; when the user walks to the target address, the navigation information may be walking navigation information.

[0113] In a possible implementation of the embodiment of the present application, after the advertising guidance system sends the advertising guidance information to the terminal device held by the user, the user can also confirm the advertising guidance information. When the user chooses to confirm the advertising guidance information, it can indicate that the user accepts to go to the target address to shop according to the current advertising guidance information. For example, the user chooses to follow Figure 4 The planned route R3 in (b) corresponds to the generated advertising guidance information to the target address, that is, Figure 4The confirmation information submitted by the user may include number of people information and means of transportation information. The above number of people information may indicate the number of people going to the target address with the user, and the means of transportation information may indicate the method chosen by the user to go to the target address. Different number of people information and means of transportation information may serve as influencing factors and may affect the recommendation index of each shopping address. The background server of the advertising guidance system may receive the confirmation information submitted by the user for the advertising guidance information. Then, the background server may update the influencing factors of each shopping address including the target address according to the confirmation information to recalculate the recommendation index of each shopping address.

[0114] In the embodiment of the present application, the advertising guidance system may update the influencing factors of each shopping address after receiving confirmation information from a large number of users. The recalculated recommendation index of each shopping address may be used when recommending shopping addresses to other users, thereby guiding the flow of shopping people.

[0115] In an embodiment of the present application, by determining multiple shopping addresses associated with the current advertising position, the recommendation index of each shopping address can be calculated according to multiple influencing factors pre-configured for each shopping address, and the recommendation index can be used to indicate the priority of the corresponding shopping address being recommended to the user. In this way, the shopping address with a higher recommendation index has a higher priority, and the shopping address will be recommended to the user first. When recommending to the user, the address information displayed in real time in the advertising screen can be adjusted according to the recommendation index. Through the above operation, shopping guidance for most users can be achieved, so that the user can go to a suitable shopping address for shopping. On this basis, the address information displayed in the advertising screen can also include QR code information, which can be used to provide differentiated shopping address recommendations to the user. Specifically, when the QR code information is scanned by a terminal device held by the user, by obtaining the user information stored in the terminal device, the advertising guidance system can determine the target address matching the user from multiple shopping addresses according to the user information. The above target address can be different from the shopping address with the highest recommendation index in the aforementioned displayed address information, and belongs to personalized recommendation information matching the specific situation of the user. In this way, the advertising guidance system can generate advertising guidance information based on the target address to guide the user to the target address. By applying the method provided in the embodiments of the present application, it is possible to add corresponding guidance information to the displayed advertisements according to the current actual situation of each shopping place, dynamically guide users to suitable shopping places, thereby improving user shopping satisfaction and convenience, and also to implement personalized recommendations, further improving the user experience during the shopping process.

[0116] It should be noted that the size of the serial numbers of the steps in the above embodiments does not 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 embodiments of the present application.

[0117] Reference Figure 6 , shows a schematic diagram of an advertisement guiding device provided in an embodiment of the present application, which may specifically include a determination module 601, a calculation module 602, an adjustment module 603, an acquisition module 604, a matching module 605 and a generation module 606, wherein:

[0118] A determination module 601 is used to determine a plurality of shopping addresses associated with a current advertisement location, any of the shopping addresses having a plurality of pre-configured influencing factors;

[0119] A calculation module 602, configured to calculate a recommendation index of each shopping address according to the plurality of influencing factors, wherein the recommendation index is used to indicate a priority of the corresponding shopping address being recommended to the user;

[0120] An adjustment module 603, configured to adjust the address information displayed in real time in the advertisement screen according to the recommendation index, wherein the address information also includes QR code information;

[0121] The acquisition module 604 is used to acquire the user information stored in the terminal device when the two-dimensional code information is scanned by the terminal device held by the user;

[0122] A matching module 605, configured to determine a target address matching the user from the plurality of shopping addresses according to the user information;

[0123] The generating module 606 is used to generate advertisement guidance information based on the target address, and the advertisement guidance information is used to guide the user to go to the target address.

[0124] In a possible implementation of the embodiment of the present application, the multiple influencing factors include at least one of the following factors: commodity inventory information, business hours information, real-time crowd flow information, and traffic information; the calculation module 602 can be specifically used to:

[0125] Determine whether the commodity inventory information is less than a preset amount and whether the current time is within the range of the business hours information;

[0126] If the commodity inventory information is greater than or equal to the preset amount and the current time is within the business hours information range, each of the influencing factors is quantified into a corresponding information value, and any of the influencing factors has a corresponding weight;

[0127] Based on the weight and the information value corresponding to each of the influencing factors, a recommendation index of each of the shopping addresses is calculated.

[0128] In a possible implementation of the embodiment of the present application, the adjustment module 603 may be specifically used to:

[0129] Determining a shopping address to be recommended according to the recommendation index;

[0130] respectively determining different guidance methods for the shopping address to be recommended and other shopping addresses;

[0131] According to the determined different guidance methods, the address information of the shopping address to be recommended and the other shopping addresses and the QR code information corresponding to the address information are respectively displayed in the current advertisement screen.

[0132] In a possible implementation of the embodiment of the present application, the user information includes schedule information, and the matching module 605 can be specifically used to:

[0133] Determine the associated address corresponding to the schedule information in the user information;

[0134] Establishing respectively a planned route between the associated address and each shopping address to be recommended, and calculating a convenience index of the planned route;

[0135] If there is at least one convenience index greater than or equal to a preset value, determining the shopping address to be recommended corresponding to the maximum value of the convenience index as the target address matching the user;

[0136] Otherwise, the convenience index of the planned route between the associated address and each other shopping address is calculated, and the shopping address corresponding to the maximum value of all the calculated convenience indexes is determined as the target address matching the user.

[0137] In a possible implementation of the embodiment of the present application, the matching module 605 may also be used to:

[0138] Determining the route length of each of the planned routes and the route time calculated based on the current road conditions;

[0139] The convenience index of each of the planned routes is determined according to the route length and the route time.

[0140] In a possible implementation of the embodiment of the present application, the generating module 606 may be specifically used for:

[0141] Controlling the start of a map application in the terminal device;

[0142] The target address is sent to the map application so that the map application generates navigation information to the target address.

[0143] In a possible implementation manner of the embodiment of the present application, the apparatus may further include an updating module; the updating module may be specifically configured to:

[0144] Receiving confirmation information submitted by the user for the advertisement guide information, and updating the influencing factors of the target address according to the confirmation information; wherein the confirmation information at least includes number of people information and transportation information;

[0145] Accordingly, the calculation module 602 may also be used for:

[0146] The recommendation index of each shopping address is recalculated according to the updated multiple influencing factors.

[0147] An embodiment of the present application provides an advertising guidance device, and by using the device, each step in the aforementioned method embodiments can be implemented.

[0148] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment part.

[0149] Reference Figure 7 , shows a schematic diagram of a server provided in an embodiment of the present application. Figure 7 As shown, the server 700 in the embodiment of the present application includes: a processor 710, a memory 720, and a computer program 721 stored in the memory 720 and executable on the processor 710. When the processor 710 executes the computer program 721, the steps in each embodiment of the above-mentioned advertising guidance method are implemented, for example Figure 1 Alternatively, when the processor 710 executes the computer program 721, the functions of each module / unit in the above-mentioned device embodiments are realized, for example Figure 6 Functions of modules 601 to 606 are shown.

[0150] Exemplarily, the computer program 721 may be divided into one or more modules / units, which are stored in the memory 720 and executed by the processor 710 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which may be used to describe the execution process of the computer program 721 in the server 700. For example, the computer program 721 may be divided into a determination module, a calculation module, an adjustment module, an acquisition module, a matching module, and a generation module, and the specific functions of each module are as follows:

[0151] A determination module, used to determine a plurality of shopping addresses associated with the current advertisement position, any of the shopping addresses having a plurality of pre-configured influencing factors;

[0152] A calculation module, used to calculate the recommendation index of each shopping address according to the multiple influencing factors, wherein the recommendation index is used to indicate the priority of the corresponding shopping address being recommended to the user;

[0153] An adjustment module, used for adjusting the address information displayed in real time in the advertisement screen according to the recommendation index, wherein the address information also includes QR code information;

[0154] An acquisition module, used for acquiring user information stored in a terminal device when the two-dimensional code information is scanned by the terminal device held by the user;

[0155] A matching module, used for determining a target address matching the user from the plurality of shopping addresses according to the user information;

[0156] A generating module is used to generate advertisement guidance information based on the target address, wherein the advertisement guidance information is used to guide the user to go to the target address.

[0157] The server 700 may be a server capable of implementing each step in the above-mentioned method embodiments, and the server 700 may be a computing device such as a desktop computer or a cloud server. The server 700 may include, but is not limited to, a processor 710 and a memory 720. Those skilled in the art will appreciate that Figure 7 It is only an example of the server 700 and does not constitute a limitation of the server 700. The server 700 may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the server 700 may also include input and output devices, network access devices, buses, etc.

[0158] The processor 710 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0159] The memory 720 may be an internal storage unit of the server 700, such as a hard disk or memory of the server 700. The memory 720 may also be an external storage device of the server 700, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the server 700. Further, the memory 720 may also include both an internal storage unit of the server 700 and an external storage device. The memory 720 is used to store the computer program 721 and other programs and data required by the server 700. The memory 720 may also be used to temporarily store data that has been output or is to be output.

[0160] An embodiment of the present application further discloses a server, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the advertising guidance method as described in the above-mentioned embodiments when executing the computer program.

[0161] The embodiments of the present application further disclose a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the advertising guidance method as described in the above embodiments is implemented.

[0162] The embodiments of the present application further disclose a computer program product. When the computer program product is run on a computer, the computer is enabled to execute the advertising guidance methods described in the aforementioned embodiments.

[0163] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application is described in detail with reference to the above-mentioned embodiments, a person skilled in the art should understand that the technical solutions described in the above-mentioned embodiments can still be modified, or some of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. An advertising guidance method, characterized in that: Applied to an advertising guidance device, the method comprises: Determine multiple shopping addresses associated with the current advertising location, any of the shopping addresses having multiple pre-configured influencing factors, the multiple influencing factors including at least one of the following factors: commodity inventory information, business hours information, real-time crowd flow information, and traffic information; the current advertising location is determined according to the current real-time location of the advertising guidance device, and the carrier of the advertising guidance device includes a mobile robot; Calculating a recommendation index for each shopping address according to the plurality of influencing factors, the recommendation index being used to indicate a priority of the corresponding shopping address being recommended to the user; Adjusting the address information displayed in real time in the advertisement screen according to the recommendation index, wherein the address information is obtained by replacing the information displayed in the video frame in the video advertisement, and the key recommended address information is distinguished from other addresses by using different colors, different fonts or different sizes, and the address information also includes QR code information; When the QR code information is scanned by a terminal device held by a user, the user information stored in the terminal device is obtained; Determine a target address matching the user from the plurality of shopping addresses according to the user information; generating advertisement guidance information based on the target address, wherein the advertisement guidance information is used to guide the user to the target address; The user information includes schedule information, and determining a target address matching the user from a plurality of shopping addresses according to the user information includes: Determine the associated address corresponding to the schedule information in the user information; Establishing respectively a planned route between the associated address and each shopping address to be recommended, and calculating a convenience index of the planned route; If there is at least one convenience index greater than or equal to a preset value, determining the shopping address to be recommended corresponding to the maximum value of the convenience index as the target address matching the user; Otherwise, the convenience index of the planned route between the associated address and each other shopping address is calculated, and the shopping address corresponding to the maximum value of all the calculated convenience indexes is determined as the target address matching the user.

2. The method according to claim 1, characterized in that: The step of calculating the recommendation index of each shopping address according to the plurality of influencing factors comprises: Determine whether the commodity inventory information is less than a preset amount and whether the current time is within the range of the business hours information; If the commodity inventory information is greater than or equal to the preset amount and the current time is within the business hours information range, each of the influencing factors is quantified into a corresponding information value, and any of the influencing factors has a corresponding weight; Based on the weight and the information value corresponding to each of the influencing factors, a recommendation index of each of the shopping addresses is calculated.

3. The method according to claim 1, characterized in that The step of adjusting the address information displayed in real time on the advertisement screen according to the recommendation index includes: Determining a shopping address to be recommended according to the recommendation index; respectively determining different guidance methods for the shopping address to be recommended and other shopping addresses; According to the determined different guidance methods, the address information of the shopping address to be recommended and the other shopping addresses and the QR code information corresponding to the address information are respectively displayed in the current advertisement screen.

4. The method according to claim 1, characterized in that: The calculating the convenience index of the planned route includes: Determining the route length of each of the planned routes and the route time calculated based on the current road conditions; The convenience index of each of the planned routes is determined according to the route length and the route time.

5. The method according to any one of claims 1 to 4, characterized in that: The generating of advertisement guidance information based on the target address includes: Controlling the start of a map application in the terminal device; The target address is sent to the map application so that the map application generates navigation information to the target address.

6. The method according to claim 1, characterized in that Also includes: Receive confirmation information submitted by the user for the advertising guide information, and update the influencing factors of the target address according to the confirmation information to recalculate the recommendation index of each shopping address; wherein the confirmation information at least includes number of people information and transportation information.

7. An advertising guidance device, characterized in that: Applied to advertising guidance equipment, the device comprises: A determination module, used to determine multiple shopping addresses associated with the current advertising location, any of the shopping addresses having multiple pre-configured influencing factors, the multiple influencing factors including at least one of the following factors: commodity inventory information, business hours information, real-time crowd flow information, and traffic information; the current advertising location is determined according to the current real-time location of the advertising guidance device, and the carrier of the advertising guidance device includes a mobile robot; A calculation module, used to calculate the recommendation index of each shopping address according to the multiple influencing factors, wherein the recommendation index is used to indicate the priority of the corresponding shopping address being recommended to the user; an adjustment module, configured to adjust the address information displayed in real time in the advertisement screen according to the recommendation index, wherein the address information is obtained by replacing the information displayed in the video frame in the video advertisement, and the key recommended address information is distinguished from other addresses by using different colors, different fonts or different sizes, and the address information also includes QR code information; An acquisition module, used for acquiring user information stored in a terminal device when the two-dimensional code information is scanned by the terminal device held by the user; A matching module, used for determining a target address matching the user from the plurality of shopping addresses according to the user information; A generating module, configured to generate advertisement guidance information based on the target address, wherein the advertisement guidance information is used to guide the user to the target address; Wherein, the user information includes schedule information, and the matching module is specifically used for: Determine the associated address corresponding to the schedule information in the user information; Establishing respectively a planned route between the associated address and each shopping address to be recommended, and calculating a convenience index of the planned route; If there is at least one convenience index greater than or equal to a preset value, determining the shopping address to be recommended corresponding to the maximum value of the convenience index as the target address matching the user; Otherwise, the convenience index of the planned route between the associated address and each other shopping address is calculated, and the shopping address corresponding to the maximum value of all the calculated convenience indexes is determined as the target address matching the user.

8. An advertising guidance system, comprising a backend server and an advertising guidance device; wherein: The background server includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the advertising guidance method according to any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the advertising guidance method according to any one of claims 1 to 6 is implemented.

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