A marketing outlet recommendation method and system

Abstract

The application relates to the marketing technical field, and particularly discloses a marketing network point recommendation method and system. The application obtains use public data in a mobile terminal of a user, generates public demand information, obtains a shopping travel route, carries out marketing network point recommendation, determines a target marketing network point, obtains multiple preset marketing information of the target marketing network point, screens and marks the target marketing information according to the public demand information, obtains positioning information of the mobile terminal of the user, and switches and pushes the target marketing information when the user passes through the target marketing network point. The marketing demand of a merchant and the shopping demand of a user can be comprehensively considered to carry out marketing network point recommendation and target marketing information screening, and then the target marketing information can be switched and pushed in a targeted manner when the user passes through the target marketing network point, so that the marketing mode can be adjusted according to the user demand, the recommendation of the marketing network point and the marketing content is targeted, and the marketing effect can be further improved.

Description

Technical Field

[0001] This invention belongs to the field of marketing technology, and in particular relates to a method and system for recommending marketing outlets. Background Technology

[0002] Marketing refers to the process by which businesses discover or uncover the needs of potential consumers, enabling them to understand and ultimately purchase the product. Marketing is also known as market studies, marketing management, or marketing science. Classic business management courses such as MBA and EMBA programs include marketing as a crucial module for managing and educating managers. Marketing is the activity, process, and system by which economic value is generated for customers, clients, partners, and society as a whole through the creation, communication, dissemination, and exchange of products. It primarily refers to the process of conducting business activities and sales activities in the market—the process of achieving conversion through sales.

[0003] Recommending marketing outlets aims to expand the reach and increase the impact of marketing efforts by suggesting more suitable locations. However, current recommendations for marketing outlets and content are based on the marketing needs of businesses. Businesses that spend more on marketing receive more exposure and increased brand awareness. While this achieves some level of exposure, it cannot be adjusted to the needs of different users. The recommendations for marketing outlets and content lack specificity, thus limiting the potential for further improvement in marketing effectiveness. Summary of the Invention

[0004] The purpose of this invention is to provide a marketing outlet recommendation method and system, which aims to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0006] A method for recommending marketing outlets, the method specifically includes the following steps:

[0007] Obtain publicly available usage data from users' mobile devices, identify and organize the needs based on the publicly available usage data, and generate publicly available demand information;

[0008] When users navigate to shopping destinations via mobile devices, the shopping route is obtained;

[0009] Based on the publicly available demand information, marketing outlets are recommended along the shopping travel route to identify target marketing outlets.

[0010] Obtain multiple preset marketing information for the target marketing outlets, and filter and mark the target marketing information according to the publicly available demand information;

[0011] Obtain the user's mobile device location information, and based on the location information, switch and push the target marketing information when the user passes through the target marketing outlet.

[0012] As a further limitation of the technical solution of this embodiment of the invention, the method further includes the following steps:

[0013] Determine whether the user provides marketing feedback, and if so, modify the shopping route and generate a marketing navigation route.

[0014] As a further limitation of the technical solution of this embodiment of the invention, the step of obtaining publicly available usage data from the user's mobile device, identifying and organizing the needs based on the publicly available usage data, and generating publicly available demand information specifically includes the following steps:

[0015] Obtain publicly available usage data sent by users' mobile devices;

[0016] Identify multiple demand records in the publicly available data;

[0017] Based on the data from multiple requirement records, the requirements are organized to generate publicly available requirement information.

[0018] As a further limitation of the technical solution of this embodiment of the invention, the step of obtaining the shopping route when the user uses a mobile terminal for shopping travel navigation specifically includes the following steps:

[0019] Get the travel navigation route and destination sent by the mobile device;

[0020] Based on big data, obtain the destination label corresponding to the navigation destination;

[0021] Based on the stated destination tag, determine whether it is a shopping travel navigation;

[0022] When providing navigation for shopping trips, the navigation route will be marked as a shopping trip route.

[0023] As a further limitation of the technical solution of this embodiment of the invention, the step of recommending marketing outlets and determining target marketing outlets based on the disclosed demand information on the shopping travel route specifically includes the following steps:

[0024] Obtain preset network statistics and filter network locations along shopping routes;

[0025] Based on the network statistics, obtain marketing tags corresponding to multiple network points along the route;

[0026] Based on the publicly available demand information, multiple marketing tags are analyzed and matched to generate demand matching results;

[0027] Based on the demand matching results, select target marketing outlets from multiple route outlets.

[0028] As a further limitation of the technical solution of this embodiment of the invention, the step of obtaining multiple preset marketing information of the target marketing outlets and filtering and marking the target marketing information according to the publicly available demand information specifically includes the following steps:

[0029] Obtain multiple preset marketing information from the target marketing outlets;

[0030] Based on the publicly available demand information, a matching analysis is performed on multiple preset marketing messages to generate matching analysis results;

[0031] Based on the matching analysis results, target marketing information is filtered and marked.

[0032] As a further limitation of the technical solution of this embodiment of the invention, the step of obtaining the user's mobile terminal location information and switching and pushing the target marketing information when the user passes through the target marketing outlet specifically includes the following steps:

[0033] Obtain the user's real-time location information shared from their mobile device;

[0034] Based on the location information, calculate the real-time distance between the user and the target marketing outlet;

[0035] When the real-time distance is less than a preset standard distance, a marketing switching signal is generated;

[0036] Based on the marketing switching signal, the target marketing information is switched and pushed.

[0037] As a further limitation of the technical solution of this embodiment of the invention, the step of determining whether the user provides marketing feedback, and changing the shopping trip route and generating a marketing navigation route when the user provides marketing feedback, specifically includes the following steps:

[0038] Obtain user's mobile device feature data;

[0039] Based on the aforementioned feature data, determine whether there is marketing feedback from mobile devices;

[0040] When there is marketing feedback on a mobile device, load the merchant address corresponding to the target marketing information;

[0041] Based on the merchant's address, the shopping route is modified to generate a marketing navigation route.

[0042] A marketing outlet recommendation system, comprising a demand identification and processing unit, a travel route acquisition unit, a marketing outlet recommendation unit, a marketing information filtering unit, and a marketing information push unit, wherein:

[0043] The demand identification and processing unit is used to acquire publicly available usage data from users' mobile devices, identify and process demands based on the publicly available usage data, and generate publicly available demand information.

[0044] The travel route acquisition unit is used to acquire the shopping travel route when the user uses the mobile device for shopping travel navigation;

[0045] The marketing outlet recommendation unit is used to recommend marketing outlets based on the publicly available demand information and the shopping travel route, and to determine target marketing outlets.

[0046] The marketing information filtering unit is used to obtain multiple preset marketing information of the target marketing outlets and filter and mark the target marketing information according to the publicly available demand information.

[0047] The marketing information push unit is used to obtain the user's mobile device location information and, based on the location information, switch and push the target marketing information when the user passes through the target marketing outlet.

[0048] As a further limitation of the technical solution of this embodiment of the invention, the marketing information push unit specifically includes:

[0049] The user location module is used to obtain the user's real-time location information shared by the user's mobile device;

[0050] The distance calculation module is used to calculate the real-time distance between the user and the target marketing outlet based on the location information.

[0051] The signal generation module is used to generate a marketing switching signal when the real-time distance is less than a preset standard distance;

[0052] The marketing push module is used to switch and push the target marketing information according to the marketing switching signal.

[0053] Compared with the prior art, the beneficial effects of the present invention are:

[0054] This invention generates public demand information by acquiring publicly available usage data from users' mobile devices; obtains shopping travel routes; recommends marketing outlets and identifies target marketing outlets; acquires multiple preset marketing information for target marketing outlets, filters and marks target marketing information based on the public demand information; and acquires the user's mobile device location information, switching and pushing target marketing information when the user passes through the target marketing outlet. This allows for a comprehensive analysis of merchants' marketing needs and users' shopping needs, recommending marketing outlets and filtering target marketing information. Furthermore, it enables targeted switching and pushing of target marketing information when users pass through target marketing outlets, thereby adjusting marketing methods according to user needs and making the recommendations of marketing outlets and marketing content more targeted, ultimately improving marketing effectiveness. Attached Figure Description

[0055] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention.

[0056] Figure 1 A flowchart of the method provided by an embodiment of the present invention is shown.

[0057] Figure 2 Another flowchart of the method provided in an embodiment of the present invention is shown.

[0058] Figure 3 A flowchart illustrating the user requirement identification and organization process in the method provided by an embodiment of the present invention is shown.

[0059] Figure 4 A flowchart illustrating the method for obtaining shopping travel routes provided in an embodiment of the present invention is shown.

[0060] Figure 5 A flowchart illustrating the marketing outlet recommendation process provided in this embodiment of the invention is shown.

[0061] Figure 6 A flowchart of the marketing information filtering mark in the method provided by an embodiment of the present invention is shown.

[0062] Figure 7 A flowchart illustrating the method for pushing targeted marketing information provided in an embodiment of the present invention is shown.

[0063] Figure 8 A flowchart illustrating the marketing feedback route change in the method provided by an embodiment of the present invention is shown.

[0064] Figure 9 An application architecture diagram of the system provided in an embodiment of the present invention is shown.

[0065] Figure 10 The diagram shows a structural block diagram of the marketing information push unit in the system provided by an embodiment of the present invention. Detailed Implementation

[0066] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0067] Understandably, in existing technologies, the recommendation of marketing outlets and marketing content is based on the marketing needs of merchants. Merchants who spend more on marketing will get more marketing exposure and increase their brand awareness. Although this achieves a certain degree of marketing exposure, this marketing method cannot be adjusted according to the needs of different users. The recommendation of marketing outlets and marketing content is not targeted, and the marketing effect cannot be further improved.

[0068] To address the aforementioned issues, embodiments of the present invention generate public demand information by acquiring publicly available usage data from users' mobile devices; when users navigate to shopping destinations via their mobile devices, the invention acquires shopping routes; recommends marketing outlets and identifies target marketing outlets; acquires multiple preset marketing information for target marketing outlets and filters and marks target marketing information based on the public demand information; and acquires the user's mobile device location information and switches and pushes target marketing information when the user passes through a target marketing outlet. This approach integrates the marketing needs of merchants and the shopping needs of users to recommend marketing outlets and filter target marketing information. Furthermore, it allows for targeted switching and pushing of target marketing information when users pass through a target marketing outlet, thereby adjusting marketing methods according to user needs and making the recommendations of marketing outlets and content more targeted, ultimately improving marketing effectiveness.

[0069] Figure 1 A flowchart of the method provided by an embodiment of the present invention is shown.

[0070] Specifically, a marketing outlet recommendation method includes the following steps:

[0071] Step S101: Obtain the user's publicly available usage data from their mobile device, identify and organize the user's needs based on the publicly available usage data, and generate publicly available demand information.

[0072] In this embodiment of the invention, when a user uses a mobile device, the user's data that is allowed to be made public is recorded, and public usage data is generated in real time. By acquiring the public usage data sent by the mobile device, the public usage data is analyzed, and data such as the user's online shopping browsing and shopping needs memo records are extracted from the public usage data to obtain multiple demand record data. The demand tags in the multiple demand record data are determined, and the multiple demand tags are integrated and organized to generate public demand information.

[0073] Specifically, Figure 3 A flowchart illustrating the user requirement identification and organization process in the method provided by an embodiment of the present invention is shown.

[0074] In a preferred embodiment of the present invention, the step of obtaining publicly available usage data from a user's mobile device, identifying and organizing needs based on the publicly available usage data, and generating publicly available demand information specifically includes the following steps:

[0075] Step S1011: Obtain the user's publicly available usage data sent from the user's mobile device.

[0076] Step S1012: Identify multiple demand record data in the publicly available data.

[0077] Step S1013: Organize the requirements based on the multiple requirement record data to generate public requirement information.

[0078] Furthermore, the marketing outlet recommendation method also includes the following steps:

[0079] Step S102: When a user navigates to their shopping destination via a mobile device, obtain the shopping route.

[0080] In this embodiment of the invention, with the user's authorization, when a user uses a mobile device for travel navigation, the mobile device will send information such as the travel navigation route and destination in real time. By receiving the travel navigation route and destination sent by the mobile device, and based on big data technology, the system obtains and statistically analyzes the travel purposes of users navigating to that destination on the Internet, and obtains travel purpose statistics. Then, based on the travel purpose statistics, a destination tag is generated. According to the destination tag, it is determined whether the user's current navigation behavior is shopping travel navigation. If it is determined to be shopping travel navigation, the travel navigation route is marked as a shopping travel route.

[0081] Specifically, Figure 4 A flowchart illustrating the method for obtaining shopping travel routes provided in an embodiment of the present invention is shown.

[0082] In a preferred embodiment of the present invention, obtaining the shopping route when a user navigates to a shopping destination via a mobile device specifically includes the following steps:

[0083] Step S1021: Obtain the travel navigation route and navigation destination sent by the mobile terminal.

[0084] Step S1022: Based on big data, obtain the destination label corresponding to the navigation destination.

[0085] Step S1023: Determine whether the destination label is for shopping travel navigation.

[0086] Step S1024: When providing navigation for shopping trips, mark the navigation route as a shopping trip route.

[0087] Furthermore, the marketing outlet recommendation method also includes the following steps:

[0088] Step S103: Based on the publicly available demand information, recommend marketing outlets along the shopping route and determine target marketing outlets.

[0089] In this embodiment of the invention, preset network point statistics are obtained. The location of each network point is determined through the network point statistics. Then, multiple route network points located on shopping travel routes are selected from multiple network points. The marketing type of multiple route network points is determined through the network point statistics. Marketing tags corresponding to multiple route network points are generated. The multiple marketing tags are matched and analyzed with demand tags in publicly available demand information to generate demand matching results. Then, according to the demand matching results, the route network points corresponding to the matching marketing tags are marked as target marketing network points. There can be multiple target marketing network points.

[0090] Specifically, Figure 5 A flowchart illustrating the marketing outlet recommendation process provided in this embodiment of the invention is shown.

[0091] In a preferred embodiment of the present invention, the step of recommending marketing outlets and determining target marketing outlets based on the disclosed demand information along the shopping route specifically includes the following steps:

[0092] Step S1031: Obtain preset network statistics and filter multiple network points located on shopping routes.

[0093] Step S1032: Based on the network statistics, obtain marketing tags corresponding to multiple route network points.

[0094] Step S1033: Based on the publicly available demand information, analyze and match multiple marketing tags to generate demand matching results.

[0095] Step S1034: Select a target marketing outlet from multiple route outlets according to the demand matching results.

[0096] Furthermore, the marketing outlet recommendation method also includes the following steps:

[0097] Step S104: Obtain multiple preset marketing information of the target marketing outlets, and filter and mark the target marketing information according to the publicly available demand information.

[0098] In this embodiment of the invention, multiple marketing advertisements are typically played at the target marketing outlets. Each marketing advertisement corresponds to different preset marketing information. By acquiring multiple preset marketing information of the target marketing outlets, demand matching analysis is performed on the multiple preset marketing information according to the publicly available demand information to generate matching analysis results. According to the matching analysis results, the preset marketing information that best meets the user's needs is selected from the multiple preset marketing information and marked as the target marketing information.

[0099] Specifically, Figure 6 A flowchart of the marketing information filtering mark in the method provided by an embodiment of the present invention is shown.

[0100] In a preferred embodiment of the present invention, the step of obtaining multiple preset marketing information of the target marketing outlets and filtering and marking the target marketing information according to the publicly available demand information specifically includes the following steps:

[0101] Step S1041: Obtain multiple preset marketing information for the target marketing outlets.

[0102] Step S1042: Based on the publicly available demand information, perform matching analysis on multiple preset marketing information items to generate matching analysis results.

[0103] Step S1043: Based on the matching analysis results, filter and mark target marketing information.

[0104] Furthermore, the marketing outlet recommendation method also includes the following steps:

[0105] Step S105: Obtain the user's mobile device location information, and based on the location information, switch and push the target marketing information when the user passes through the target marketing outlet.

[0106] In this embodiment of the invention, when a user navigates via a mobile device, the mobile device performs real-time positioning to obtain the user's location information and shares and transmits the location information. By obtaining the real-time location information shared by the mobile device, the real-time distance between the user and the target marketing outlet is calculated. When the real-time distance is less than a preset standard distance, it indicates that the user has approached the target marketing outlet. At this time, a marketing switching signal is generated and sent to the target marketing outlet, causing the target marketing outlet to switch from the current marketing advertisement to the marketing advertisement corresponding to the target marketing information, and push marketing information to passing users.

[0107] Specifically, Figure 7 A flowchart illustrating the method for pushing targeted marketing information provided in an embodiment of the present invention is shown.

[0108] In a preferred embodiment of the present invention, obtaining the user's mobile device location information and, based on the location information, switching and pushing the target marketing information when the user passes through the target marketing outlet specifically includes the following steps:

[0109] Step S1051: Obtain the location information shared in real time by the user's mobile device.

[0110] Step S1052: Calculate the real-time distance between the user and the target marketing outlet based on the location information.

[0111] Step S1053: When the real-time distance is less than the preset standard distance, a marketing switching signal is generated.

[0112] Step S1054: Based on the marketing switching signal, the target marketing information is switched and pushed.

[0113] Furthermore, Figure 2 Another flowchart of the method provided in an embodiment of the present invention is shown.

[0114] In another preferred embodiment of the present invention, the method further includes the following steps:

[0115] Step S106: Determine whether the user provides marketing feedback, and if the user provides marketing feedback, change the shopping travel route and generate a marketing navigation route.

[0116] In this embodiment of the invention, the user's mobile device feature data is obtained in advance. When the user passes by the target marketing outlet and browses the marketing advertisement corresponding to the target marketing information that has been switched and pushed, if the user is interested in the target marketing information, they can scan the QR code on the marketing advertisement with their mobile device. At this time, a communication connection is established with the mobile device. The feature data of the mobile device is verified and judged. After the feature data of the mobile device is verified, it is determined that the user has marketing feedback. At this time, the merchant address corresponding to the target marketing information is loaded and set as the destination of the user's trip. Then, the shopping trip route is adjusted and changed to generate a marketing navigation route and send the marketing navigation route to the user's mobile device, so that the user's mobile device can provide navigation for the user through the marketing navigation route (the navigation includes walking navigation, bicycle navigation, electric vehicle navigation and car navigation, etc.).

[0117] Specifically, Figure 8A flowchart illustrating the marketing feedback route change in the method provided by an embodiment of the present invention is shown.

[0118] In a preferred embodiment of the present invention, determining whether a user provides marketing feedback, and modifying the shopping route and generating a marketing navigation route when the user provides marketing feedback, specifically includes the following steps:

[0119] Step S1061: Obtain the user's mobile device feature data.

[0120] Step S1062: Based on the feature data, determine whether there is marketing feedback from the mobile terminal.

[0121] Step S1063: When there is marketing feedback on a mobile device, load the merchant address corresponding to the target marketing information.

[0122] Step S1064: Based on the merchant's address, change the shopping travel route and generate a marketing navigation route.

[0123] Furthermore, Figure 9 An application architecture diagram of the system provided in an embodiment of the present invention is shown.

[0124] In another preferred embodiment of the present invention, a marketing outlet recommendation system includes:

[0125] The requirement identification and processing unit 101 is used to obtain publicly available usage data from the user's mobile device, identify and process the requirements based on the publicly available usage data, and generate publicly available requirement information.

[0126] In this embodiment of the invention, when a user uses a mobile device, the mobile device records the data that the user allows to be made public, and generates public usage data in real time. The demand identification and sorting unit 101 obtains the public usage data sent by the mobile device, analyzes the public usage data, extracts data such as the user's online shopping browsing and shopping demand memo records in the public usage data, obtains multiple demand record data, determines the demand tags in the multiple demand record data, and integrates the multiple demand tags to generate public demand information.

[0127] The travel route acquisition unit 102 is used to acquire the shopping travel route when the user uses a mobile device for shopping travel navigation.

[0128] In this embodiment of the invention, with the user's authorization, when a user uses a mobile device for travel navigation, the mobile device will send information such as the travel navigation route and destination in real time. The travel route acquisition unit 102 receives the travel navigation route and destination sent by the mobile device, and based on big data technology, acquires and counts the travel purposes of users navigating to that destination on the Internet, obtains travel purpose statistics, and then generates a destination tag based on the travel purpose statistics. According to the destination tag, it determines whether the user's current navigation behavior is shopping travel navigation. If it is determined to be shopping travel navigation, the travel navigation route is marked as a shopping travel route.

[0129] The marketing outlet recommendation unit 103 is used to recommend marketing outlets on the shopping travel route based on the publicly available demand information and to determine target marketing outlets.

[0130] In this embodiment of the invention, the marketing outlet recommendation unit 103 obtains preset outlet statistics data, determines the location of each outlet through the outlet statistics data, and then filters multiple route outlets located on shopping travel routes from multiple outlets. Through the outlet statistics data, it determines the marketing type of multiple route outlets, generates marketing tags corresponding to multiple route outlets, and performs matching analysis between the multiple marketing tags and demand tags in the publicly available demand information to generate demand matching results. Then, according to the demand matching results, the route outlets corresponding to the matching marketing tags are marked as target marketing outlets.

[0131] The marketing information filtering unit 104 is used to obtain multiple preset marketing information of the target marketing outlets and filter and mark the target marketing information according to the publicly available demand information.

[0132] In this embodiment of the invention, multiple marketing advertisements are typically played at the target marketing outlets. Each marketing advertisement corresponds to different preset marketing information. The marketing information filtering unit 104 obtains multiple preset marketing information from the target marketing outlets, performs demand matching analysis on the multiple preset marketing information according to the publicly available demand information, generates matching analysis results, and selects the preset marketing information that best meets the user's needs from the multiple preset marketing information according to the matching analysis results, and marks it as the target marketing information.

[0133] The marketing information push unit 105 is used to obtain the location information of the user's mobile terminal, and based on the location information, to switch and push the target marketing information when the user passes through the target marketing outlet.

[0134] In this embodiment of the invention, when a user navigates via a mobile device, the mobile device performs real-time positioning to obtain the user's location information and shares and transmits the location information. The marketing information push unit 105 obtains the real-time location information shared by the mobile device, calculates the real-time distance between the user and the target marketing outlet, and when the real-time distance is less than a preset standard distance, it indicates that the user has approached the target marketing outlet. At this time, a marketing switching signal is generated and sent to the target marketing outlet, so that the target marketing outlet switches from the current marketing advertisement to the marketing advertisement corresponding to the target marketing information and pushes marketing information to passing users.

[0135] Specifically, Figure 10 A structural block diagram of the marketing information push unit 105 in the system provided by an embodiment of the present invention is shown.

[0136] In a preferred embodiment of the present invention, the marketing information push unit 105 specifically includes:

[0137] User positioning module 1051 is used to obtain the user's real-time location information shared by the user's mobile device.

[0138] The distance calculation module 1052 is used to calculate the real-time distance between the user and the target marketing outlet based on the location information.

[0139] The signal generation module 1053 is used to generate a marketing switching signal when the real-time distance is less than a preset standard distance.

[0140] The marketing push module 1054 is used to switch and push the target marketing information according to the marketing switching signal.

[0141] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0142] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0143] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0144] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0145] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for recommending marketing outlets, characterized in that, The method specifically includes the following steps: Obtain publicly available usage data from users' mobile devices, identify and organize the needs based on the publicly available usage data, and generate publicly available demand information; When users navigate to shopping destinations via mobile devices, the shopping route is obtained; Based on the publicly available demand information, marketing outlets are recommended along the shopping travel route to identify target marketing outlets. Obtain multiple preset marketing information for the target marketing outlets, and filter and mark the target marketing information according to the publicly available demand information; Obtain the user's mobile device location information, and based on the location information, switch and push the target marketing information when the user passes through the target marketing outlet.

2. The marketing outlet recommendation method according to claim 1, characterized in that, The method further includes the following steps: Determine whether the user provides marketing feedback, and if so, modify the shopping route and generate a marketing navigation route.

3. The marketing outlet recommendation method according to claim 1, characterized in that, The process of obtaining publicly available usage data from users' mobile devices, identifying and organizing needs based on this data, and generating publicly available demand information specifically includes the following steps: Obtain publicly available usage data sent by users' mobile devices; Identify multiple demand records in the publicly available data; Based on the data from multiple requirement records, the requirements are organized to generate publicly available requirement information.

4. The marketing outlet recommendation method according to claim 1, characterized in that, When a user navigates to a shopping destination via a mobile device, obtaining the shopping route specifically includes the following steps: Get the travel navigation route and destination sent by the mobile device; Based on big data, obtain the destination label corresponding to the navigation destination; Based on the stated destination tag, determine whether it is a shopping travel navigation; When providing navigation for shopping trips, the navigation route will be marked as a shopping trip route.

5. The marketing outlet recommendation method according to claim 1, characterized in that, The step of recommending marketing outlets and identifying target marketing outlets based on the publicly available demand information along the shopping route specifically includes the following steps: Obtain preset network statistics and filter network locations along shopping routes; Based on the network statistics, obtain marketing tags corresponding to multiple network points along the route; Based on the publicly available demand information, multiple marketing tags are analyzed and matched to generate demand matching results; Based on the demand matching results, select target marketing outlets from multiple route outlets.

6. The marketing outlet recommendation method according to claim 1, characterized in that, The process of acquiring multiple preset marketing information items for the target marketing outlets and filtering and marking the target marketing information based on the publicly available demand information specifically includes the following steps: Obtain multiple preset marketing information from the target marketing outlets; Based on the publicly available demand information, a matching analysis is performed on multiple preset marketing messages to generate matching analysis results; Based on the matching analysis results, target marketing information is filtered and marked.

7. The marketing outlet recommendation method according to claim 1, characterized in that, The process of obtaining the user's mobile device location information and, based on that location information, switching and pushing the target marketing information when the user passes through the target marketing outlet specifically includes the following steps: Obtain the user's real-time location information shared from their mobile device; Based on the location information, calculate the real-time distance between the user and the target marketing outlet; When the real-time distance is less than a preset standard distance, a marketing switching signal is generated; Based on the marketing switching signal, the target marketing information is switched and pushed.

8. The marketing outlet recommendation method according to claim 1, characterized in that, Determining whether a user provides marketing feedback, and modifying the shopping route to generate a marketing navigation route when such feedback is provided, specifically includes the following steps: Obtain user's mobile device feature data; Based on the aforementioned feature data, determine whether there is marketing feedback from mobile devices; When there is marketing feedback on a mobile device, load the merchant address corresponding to the target marketing information; Based on the merchant's address, the shopping route is modified to generate a marketing navigation route.

9. A marketing outlet recommendation system, characterized in that, The system includes a demand identification and processing unit, a travel route acquisition unit, a marketing outlet recommendation unit, a marketing information filtering unit, and a marketing information push unit, wherein: The demand identification and processing unit is used to acquire publicly available usage data from users' mobile devices, identify and process demands based on the publicly available usage data, and generate publicly available demand information. The travel route acquisition unit is used to acquire the shopping travel route when the user uses the mobile device for shopping travel navigation; The marketing outlet recommendation unit is used to recommend marketing outlets based on the publicly available demand information and the shopping travel route, and to determine target marketing outlets. The marketing information filtering unit is used to obtain multiple preset marketing information of the target marketing outlets and filter and mark the target marketing information according to the publicly available demand information. The marketing information push unit is used to obtain the user's mobile device location information and, based on the location information, switch and push the target marketing information when the user passes through the target marketing outlet.

10. The marketing outlet recommendation system according to claim 9, characterized in that, The marketing information push unit specifically includes: The user location module is used to obtain the user's real-time location information shared by the user's mobile device; The distance calculation module is used to calculate the real-time distance between the user and the target marketing outlet based on the location information. The signal generation module is used to generate a marketing switching signal when the real-time distance is less than a preset standard distance; The marketing push module is used to switch and push the target marketing information according to the marketing switching signal.

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