Method, system and device for delivering takeout advertisements based on user connection strength

Abstract

The method, system and device for placing takeout advertisements based on user connection strength provided by the present invention include: obtaining location information of multiple historical users and location information of the current user; calculating the connection strength between the current user and multiple historical users based on the location information of the current user and the location information of multiple historical users to obtain multiple connection strengths, and determining the target historical user according to the magnitude of the multiple connection strengths; obtaining the historical order information of the target historical user, and classifying the order goods in the historical order information according to preset rules to obtain multiple levels of order goods; placing takeout advertisements for the current user according to the location information of the current user and the multiple levels of order goods. The method takes into account the social nature of human beings, realizes the placement of takeout advertisements according to the intimacy between people, reduces the waste of takeout advertisement placement, and at the same time improves the conversion rate of takeout advertisement placement.

Description

Technical Field

[0001] The present invention relates to the technical field of advertisement delivery, and in particular to a method, system and device for delivering takeout advertisements based on user connection strength. Background Art

[0002] As we are living in a fast-paced era, dining out and home delivery have become the dining options for some people, and the placement of takeout advertisements often affects people's ordering of meals.

[0003] At present, in the prior art, takeaway advertisements are usually placed by analyzing the geographic location of the orderer and selecting a store close to the geographic location for takeaway advertisement placement, or by obtaining the orderer's historical order information and placing takeaway advertisements based on the store in the historical order information.

[0004] However, as far as the existing technology is concerned, since people are contagious in the process of information transmission, they are often influenced by others when ordering takeout. Although the delivery of takeout advertisements based on geographic location or historical order information can filter information to a certain extent, it ignores the social nature of people, which will result in a low conversion rate for takeout advertisements. Summary of the invention

[0005] In order to solve the technical problem of low conversion rate of takeaway advertising in the prior art, the present invention provides a takeaway advertising delivery method based on user connection strength, which takes into account the social nature of human beings and realizes the delivery of takeaway advertising according to the intimacy between people, thereby reducing the waste of takeaway advertising delivery and improving the conversion rate of takeaway advertising delivery.

[0006] The present invention provides a method for placing takeout advertisements based on user connection strength, comprising the following steps:

[0007] A location information acquisition step, acquiring location information of multiple historical users and location information of the current user;

[0008] a target user determination step, calculating the connection strength between the current user and the plurality of historical users based on the location information of the current user and the location information of the plurality of historical users to obtain the plurality of connection strengths, and determining the target historical user according to the magnitudes of the plurality of connection strengths;

[0009] A commodity grade classification step, obtaining the historical order information of the target historical user, and grade-classifying the order commodities in the historical order information of the target historical user according to a preset rule to obtain a plurality of graded order commodities;

[0010] The step of placing takeout advertisements is to place takeout advertisements to the current user according to the location information of the current user and the plurality of the graded order commodities.

[0011] In the above-mentioned method for delivering takeout advertisements based on user connection strength, the method for calculating the connection strength between the current user and the plurality of historical users in the target user determination step specifically includes:

[0012] Based on the location information of the current user and the location information of the plurality of historical users, the connection strength between the current user and the plurality of historical users is calculated using the Jaccard similarity coefficient calculation formula.

[0013] The above-mentioned method for placing takeout advertisements based on user connection strength further includes:

[0014] a product label adding step, based on the location information of the plurality of historical users, classifying and labeling the location information of the plurality of historical users to obtain a plurality of different location labels;

[0015] Determining a location tag of the current user according to the location information of the current user and a plurality of different location tags;

[0016] A location tag is added to the plurality of the level order commodities, and a plurality of the level order commodities having the same location tag as the current user are determined according to the location tag of the current user.

[0017] The above-mentioned method for placing takeout advertisements based on user connection strength further includes:

[0018] The product filtering step determines the preset order distance of the current user based on the historical order information of the current user, and filters multiple level order products with the same location tag as the current user based on the preset order distance and preset level order products to obtain multiple filtered level order products.

[0019] In the above-mentioned method for placing takeout advertisements based on user connection strength, the step of placing takeout advertisements specifically includes:

[0020] According to the location tag of the current user and the filtered multiple ranked order commodities, a takeaway advertisement is delivered to the current user.

[0021] In the above-mentioned method for placing takeout advertisements based on user connection strength, the historical order information in the product grade classification step specifically includes:

[0022] Order product information, order product evaluation information and click-through rate.

[0023] The present invention also provides a takeaway advertisement delivery system based on user connection strength, comprising:

[0024] A location information acquisition unit, used to acquire location information of multiple historical users and location information of the current user;

[0025] a target user determining unit, configured to calculate the connection strength between the current user and the plurality of historical users based on the location information of the current user and the location information of the plurality of historical users to obtain the plurality of connection strengths, and determine the target historical user according to the magnitudes of the plurality of connection strengths;

[0026] A commodity grade classification unit, used to obtain the historical order information of the target historical user, and grade the order commodities in the historical order information of the target historical user according to a preset rule to obtain a plurality of graded order commodities;

[0027] The takeaway advertisement delivery unit is used to deliver takeaway advertisements to the current user according to the location information of the current user and the multiple graded order commodities.

[0028] The above-mentioned takeaway advertising delivery system based on user connection strength further includes:

[0029] A product label adding unit, configured to classify and label the location information of the plurality of historical users based on the location information of the plurality of historical users, to obtain a plurality of different location labels;

[0030] Determining a location tag of the current user according to the location information of the current user and a plurality of different location tags;

[0031] A location tag is added to the plurality of the level order commodities, and a plurality of the level order commodities having the same location tag as the current user are determined according to the location tag of the current user.

[0032] The above-mentioned takeaway advertising delivery system based on user connection strength further includes:

[0033] A product filtering unit is used to determine the preset order distance of the current user based on the historical order information of the current user, and filter multiple level order products with the same location tag as the current user based on the preset order distance and preset level order products to obtain multiple filtered level order products.

[0034] The present invention also provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for delivering takeout advertisements based on user connection strength when executing the computer program.

[0035] Technical effects or advantages of the present invention:

[0036] The present invention provides a method for placing takeout advertisements based on user connection strength, which obtains the location information of multiple historical users and the location information of the current user, calculates the connection strength between the current user and the multiple historical users, obtains multiple connection strengths, determines the target historical user according to the magnitude of the multiple connection strengths, obtains the historical order information of the target historical user, grades the order items in the historical order information of the target historical user according to preset rules, obtains multiple graded order items, and places takeout advertisements for the current user according to the location information of the current user and the multiple graded order items. In the above manner, the method takes into account the social nature of human beings, realizes the placement of takeout advertisements according to the intimacy between people, reduces the waste of takeout advertisement placement, and at the same time improves the conversion rate of takeout advertisement placement. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A flowchart of a method for delivering takeout advertisements based on user connection strength provided by an embodiment of the present invention;

[0038] Figure 2 A flowchart of a product label adding step S30 provided in an embodiment of the present invention;

[0039] Figure 3 A structural diagram of a takeaway advertisement delivery system based on user connection strength provided by an embodiment of the present invention;

[0040] Figure 4 A framework diagram of an electronic device provided by an embodiment of the present invention;

[0041] In the above picture:

[0042] 1. Location information acquisition unit; 2. Target user determination unit; 3. Product grading unit; 4. Product label adding unit; 5. Product filtering unit; 6. Takeaway advertising unit;

[0043] 10. Bus; 11. Processor; 12. Memory; 13. Communication interface. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in the field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complex and lengthy, for ordinary technicians in the field related to the content disclosed in the present application, some changes such as design, manufacturing or production based on the technical content disclosed in the present application are just conventional technical means, and should not be understood as insufficient content disclosed in the present application. The reference to "embodiment" in the present application means that the specific features, structures or characteristics described in conjunction with the embodiment can be included in at least one embodiment of the present application. The phrase appears in various positions in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by ordinary technicians in the field that the embodiments described in the present application can be combined with other embodiments without conflict. Unless otherwise defined, the technical terms or scientific terms involved in the present application should be the common meaning understood by people with general skills in the technical field to which the present application belongs. The words "one", "a", "a kind of", "the" and the like used in this application do not indicate a quantitative limitation and may indicate the singular or the plural. The terms "include", "comprise", "have" and any variations thereof used in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units that are inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect.

[0046] The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are merely used to distinguish similar objects and do not represent a specific ordering of objects.

[0047] In order to solve the technical problem of low conversion rate of takeaway advertising in the prior art, the present invention provides a takeaway advertising delivery method based on user connection strength, which takes into account the social nature of human beings and realizes the delivery of takeaway advertising according to the intimacy between people, thereby reducing the waste of takeaway advertising delivery and improving the conversion rate of takeaway advertising delivery.

[0048] The technical solution of the present invention is described in detail below in conjunction with specific embodiments and the accompanying drawings.

[0049] This embodiment provides a method for placing takeout advertisements based on user connection strength, including the following steps:

[0050] A location information acquisition step, acquiring location information of multiple historical users and location information of the current user;

[0051] a target user determination step, calculating the connection strength between the current user and the plurality of historical users based on the location information of the current user and the location information of the plurality of historical users to obtain the plurality of connection strengths, and determining the target historical user according to the magnitudes of the plurality of connection strengths;

[0052] A commodity grade classification step, obtaining the historical order information of the target historical user, and grade-classifying the order commodities in the historical order information of the target historical user according to a preset rule to obtain a plurality of graded order commodities;

[0053] The step of placing takeout advertisements is to place takeout advertisements to the current user according to the location information of the current user and the plurality of the graded order commodities.

[0054] The present embodiment provides a method for delivering takeout advertisements based on user connection strength, which takes into account the social nature of human beings and implements the delivery of takeout advertisements based on the intimacy between people, thereby reducing the waste of delivery of takeout advertisements and improving the conversion rate of delivery of takeout advertisements.

[0055] Specifically, refer to Figure 1 and Figure 2 The present invention provides a method for placing takeout advertisements based on user connection strength, wherein the method for placing takeout advertisements based on user connection strength is applied to an application platform, and the application platform can be mounted on any mobile terminal, and the mobile terminal can be a mobile phone, a tablet computer, or a computer, etc. The specific implementation terminal of the present invention is not limited. The method for placing takeout advertisements based on user connection strength includes the following steps:

[0056] The location information acquisition step S1 is to acquire the location information of multiple historical users and the location information of the current user.

[0057] In a specific application, the history database stores location information of multiple historical users, and correspondingly stores historical order information of multiple historical users, wherein the location information includes location information of the browsing application platform and location information in the historical order information.

[0058] The target user determination step S2 calculates the connection strength between the current user and the multiple historical users based on the location information of the current user and the location information of the multiple historical users to obtain the multiple connection strengths, and determines the target historical user according to the magnitude of the multiple connection strengths.

[0059] In this embodiment, the method for calculating the connection strength between the current user and the plurality of historical users in the target user determination step specifically includes:

[0060] Based on the location information of the current user and the location information of the plurality of historical users, the connection strength between the current user and the plurality of historical users is calculated using the Jaccard similarity coefficient calculation formula.

[0061] The calculation formula of Jaccard similarity coefficient is as follows:

[0062]

[0063] In the above formula, C(u,v) represents the connection strength between user u and user v; D u represents the location information of users adjacent to user u; D v D represents the location information of users adjacent to user v; u ∩D v Indicates that user u and user v contain the same location information; D u ∪D v Represents all location information contained in user u and user v.

[0064] In this embodiment, a larger C(u,v) value indicates that there is a strong connection relationship between the u user and the v user, and a smaller C(u,v) value indicates that there is a weak connection relationship between the u user and the v user.

[0065] In a specific application, when determining the location information of a user adjacent to the user, the location information within a circle with a preset radius and the location information of the user as the center can be used as the location information of the adjacent user, wherein the preset radius can be selected according to actual needs. In this embodiment, the determination of the specific location information of adjacent users is not limited in the present embodiment. According to the Jaccard similarity coefficient calculation formula, the connection strength between the current user and the historical users in the historical database is calculated, and connection strengths of different sizes can be obtained. All connection strengths are arranged in order from high to low, and the connection strength with the largest value can be obtained, indicating that the connection strength between the two users is the strongest, so that the target historical user with the strongest connection with the current user in the historical database can be determined.

[0066] In the commodity grade classification step S3, the historical order information of the target historical user is obtained, and the order commodities in the historical order information of the target historical user are graded according to preset rules to obtain multiple graded order commodities.

[0067] In this embodiment, the historical order information in the commodity grade classification step S3 specifically includes:

[0068] Order product information, order product evaluation information and click-through rate. The order product information includes but is not limited to the order product name, the name of the store to which the order product belongs, and the store location to which the order product belongs.

[0069] In a specific application, based on the historical database, historical order information related to the target historical user can be obtained, such as order product information, order evaluation information, and click-through rate. Among them, the preset rules can be set according to the order evaluation information and click-through rate. For example, the order product level can be divided into high, medium, and low according to the order product score threshold. The order product score is obtained by comprehensively combining the evaluation information and the click-through rate. The order products in the historical order information are graded according to the order product score threshold, and multiple levels of order products can be obtained. In this embodiment, the specific preset rule setting is not limited in the embodiment of the present invention, and can be set according to actual needs.

[0070] Commodity classification step S30: S301: Based on the location information of the plurality of historical users, classify and label the location information of the plurality of historical users to obtain a plurality of different location labels;

[0071] S302: Determine a location tag of the current user according to the location information of the current user and a plurality of different location tags;

[0072] S303: adding location tags to the plurality of the level order commodities, and determining, according to the location tag of the current user, a plurality of the level order commodities having the same location tag as the current user.

[0073] In a specific application, in order to accurately locate the order items related to the current user's location information, the location information of historical users is classified and labeled, and the location tag of the current user is determined based on the current user's location information. Among them, the level order items in the historical database correspond one-to-one to the location tags of the target historical users. According to the location tag of the current user, the level order items corresponding to the same location tag as the target historical user can be determined.

[0074] In a specific application, a location tag during working hours with an average duration greater than or equal to a preset time threshold can be set as a work unit, and a location tag after daily off-get off work hours with a location information of a residential building can be set as a home. The specific location tag setting is not limited in the embodiment of the present invention and can be set according to actual needs.

[0075] The product filtering step S31 determines the preset order distance of the current user based on the historical order information of the current user, and filters multiple level order products with the same location tag as the current user based on the preset order distance and preset level order products to obtain multiple filtered level order products.

[0076] In a specific application, in order to filter out redundant takeaway advertisements and reduce waste, redundant merchant information and merchant information predetermined for lower-level order products are filtered. Among them, a preset order distance is set based on the store locations of multiple historical order products of the current user and the location of the current user, wherein the preset order distance can be the farthest distance between the store locations of the historical order products and the location of the current user, or the average of the distances between the store locations of multiple historical order products and the location of the current user. The specific preset order distance can be selected according to actual needs, and this embodiment does not make specific limitations. The preset level order product can be selected according to actual needs. In this embodiment, a high-level order product is selected.

[0077] In the step S4 of placing takeout advertisements, a takeout advertisement is placed to the current user according to the location information of the current user and the plurality of the graded order commodities.

[0078] In this embodiment, the takeaway advertisement delivery step S4 specifically includes:

[0079] According to the location tag of the current user and the filtered multiple ranked order commodities, a takeaway advertisement is delivered to the current user.

[0080] This embodiment provides a method for delivering takeout advertisements based on user connection strength. The method takes into account the social nature of human beings and implements the delivery of takeout advertisements based on the intimacy between people, thereby reducing the waste of delivery of takeout advertisements and improving the conversion rate of delivery of takeout advertisements.

[0081] The embodiment of the present invention also provides a system for placing takeout advertisements based on user connection strength, referring to Figure 3 , including: a location information acquisition unit 1, a target user determination unit 2, a product grade division unit 3, a product label adding unit 4, a product filtering unit 5 and a takeaway advertising delivery unit 6, wherein the location information acquisition unit 1 is connected to the target user determination unit 2, the target user determination unit 2 is connected to the product grade division unit 3, the product grade division unit 3 is connected to the product label adding unit 4 and the product filtering unit 5, the product label adding unit 4 is connected to the product filtering unit 5 and the takeaway advertising delivery unit 6, and the product filtering unit 5 is connected to the takeaway advertising delivery unit 6.

[0082] In this embodiment, the location information acquisition unit 1 is used to obtain the location information of multiple historical users and the location information of the current user; wherein the location information acquisition unit 1 sends the location information of multiple historical users and the location information of the current user to the target user determination unit 2.

[0083] The target user determination unit 2 is used to calculate the connection strength between the current user and the multiple historical users based on the location information of the current user and the location information of the multiple historical users to obtain the multiple connection strengths, and determine the target historical user according to the magnitude of the multiple connection strengths. The target user determination unit 2 sends the determined target historical user to the commodity grade classification unit 3.

[0084] The commodity grade classification unit 3 is used to obtain the historical order information of the target historical user, and to grade the order commodities in the historical order information of the target historical user according to a preset rule to obtain multiple graded order commodities. The commodity grade classification unit 3 sends the multiple graded order commodities to the commodity label adding unit 4 and the commodity filtering unit 5.

[0085] A product label adding unit 4 is used to classify and label the location information of the plurality of historical users based on the location information of the plurality of historical users to obtain a plurality of different location labels;

[0086] Determining a location tag of the current user according to the location information of the current user and a plurality of different location tags;

[0087] Add location tags to the multiple level order products, and determine the multiple level order products with the same location tag as the current user according to the location tag of the current user. The product tag adding unit 4 sends the multiple level order products with the same location tag as the current user to the product filtering unit 5, and also sends the location tag of the current user to the takeaway advertisement delivery unit 6.

[0088] The product filtering unit 5 is used to determine the preset order distance of the current user according to the historical order information of the current user, and filter the multiple level order products with the same location tag as the current user according to the preset order distance and the preset level order products to obtain the filtered multiple level order products. The product filtering unit 5 sends the filtered multiple level order products to the takeaway advertisement delivery unit 6.

[0089] The takeaway advertisement delivery unit 6 is used to deliver takeaway advertisements to the current user according to the location information of the current user and the multiple level order products. More specifically, the takeaway advertisement delivery unit 6 is used to deliver takeaway advertisements to the current user according to the location tag of the current user sent by the product tag adding unit 4 and the multiple level order products filtered by the product filtering unit 5.

[0090] The present embodiment provides a system for delivering takeout advertisements based on user connection strength, which takes into account the social nature of human beings and implements the delivery of takeout advertisements based on the intimacy between people, thereby reducing the waste of delivery of takeout advertisements and improving the conversion rate of delivery of takeout advertisements.

[0091] refer to Figure 4 This embodiment also provides a computer device, including a memory 12, a processor 11, and a computer program stored in the memory 12 and executable on the processor 11. When the processor 11 executes the computer program, the method for delivering takeout advertisements based on user connection strength as described above is implemented.

[0092] The device may include a processor 11 and a memory 12 storing computer program instructions. Specifically, the processor 11 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0093] Among them, the memory 12 may include a large-capacity memory for data or instructions. By way of example and not limitation, the memory 12 may include a hard disk drive (HDD), a floppy disk drive, a solid-state drive (SSD), a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 12 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 12 may be inside or outside a data processing device. In a specific embodiment, the memory 12 is a non-volatile memory. In a specific embodiment, the memory 12 includes a read-only memory (ROM) and a random access memory (RAM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (Programmable Read-Only Memory, PROM for short), an erasable PROM (Erasable ProgrammableRead-Only Memory, EPROM for short), an electrically erasable PROM (Electrically Erasable ProgrammableRead-Only Memory, EEPROM for short), an electrically alterable ROM (Electrically Alterable Read-Only Memory, EAROM for short) or a flash memory (FLASH) or a combination of two or more of these. Under appropriate circumstances, the RAM can be a static random access memory (SRAM) or a dynamic random access memory (DRAM), wherein the DRAM can be a fast page mode dynamic random access memory (FPMDRAM), an extended data output dynamic random access memory (EDODRAM), a synchronous dynamic random access memory (SDRAM), etc.

[0094] The memory 12 may be used to store or cache various data files that need to be processed and / or used for communication, as well as possible computer program instructions executed by the processor 11 .

[0095] The processor 11 reads and executes computer program instructions stored in the memory 12 to implement any one of the methods for delivering takeout advertisements based on user connection strength in the above embodiments.

[0096] In some of the embodiments, the computer device may further include a communication interface 13 and a bus 10. Figure 4 , the processor 11, the memory 12, and the communication interface 13 are connected through the bus 10 and communicate with each other. The communication interface 13 is used to realize the communication between the modules, devices, units and / or equipment in the embodiment of the present application. The communication interface 13 can also realize data communication with other components such as: external devices, image / data acquisition equipment, databases, external storage, and image / data processing workstations.

[0097] The bus 10 includes hardware, software or both, and couples the components of the electronic device to each other. The bus 10 includes but is not limited to at least one of the following: a data bus, an address bus, a control bus, an expansion bus, and a local bus. By way of example and not limitation, bus 10 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, bus 10 may include one or more buses. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0098] In addition, in combination with the takeaway advertising delivery method based on user connection strength in the above embodiment, the embodiment of the present application can provide a computer-readable storage medium for implementation. The computer-readable storage medium stores computer program instructions; when the computer program instructions are executed by the processor, any one of the takeaway advertising delivery methods based on user connection strength in the above embodiment is implemented.

[0099] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for placing takeout advertisements based on user connection strength, characterized in that: The steps include: A location information acquisition step, acquiring location information of multiple historical users and location information of the current user; a target user determination step, based on the location information of the current user and the location information of the plurality of historical users, using a Jaccard similarity coefficient calculation formula to calculate the connection strength between the current user and the plurality of historical users to obtain the plurality of connection strengths, and determining the target historical user according to the magnitudes of the plurality of connection strengths; A commodity grade classification step, obtaining the historical order information of the target historical user, and grade-classifying the order commodities in the historical order information of the target historical user according to a preset rule to obtain a plurality of graded order commodities; A takeaway advertisement delivery step, delivering a takeaway advertisement to the current user according to the location information of the current user and the plurality of ranked order commodities; a product label adding step, based on the location information of the plurality of historical users, classifying and labeling the location information of the plurality of historical users to obtain a plurality of different location labels; Determining a location tag of the current user according to the location information of the current user and a plurality of different location tags; A location tag is added to the plurality of the level order commodities, and a plurality of the level order commodities having the same location tag as the current user are determined according to the location tag of the current user.

2. The method for placing takeout advertisements based on user connection strength according to claim 1, characterized in that: Also includes: The product filtering step determines the preset order distance of the current user based on the historical order information of the current user, and filters multiple level order products with the same location tag as the current user based on the preset order distance and preset level order products to obtain multiple filtered level order products.

3. The method for placing takeout advertisements based on user connection strength according to claim 2, characterized in that: The takeaway advertisement delivery step specifically includes: According to the location tag of the current user and the filtered multiple ranked order commodities, a takeaway advertisement is delivered to the current user.

4. The method for placing takeout advertisements based on user connection strength according to claim 1, characterized in that: The historical order information in the commodity grade classification step specifically includes: order commodity information, order commodity evaluation information and click-through rate.

5. A takeaway advertising delivery system based on user connection strength, characterized in that: include: A location information acquisition unit, used to acquire location information of multiple historical users and location information of the current user; a target user determination unit, configured to calculate the connection strength between the current user and the plurality of historical users by using a Jaccard similarity coefficient calculation formula based on the location information of the current user and the location information of the plurality of historical users, so as to obtain the plurality of connection strengths, and determine the target historical user according to the magnitudes of the plurality of connection strengths; A commodity grade classification unit, used to obtain the historical order information of the target historical user, and grade the order commodities in the historical order information of the target historical user according to a preset rule to obtain a plurality of graded order commodities; A takeaway advertisement delivery unit, configured to deliver a takeaway advertisement to the current user according to the location information of the current user and the plurality of ranked order commodities; A product label adding unit, configured to classify and label the location information of the plurality of historical users based on the location information of the plurality of historical users, to obtain a plurality of different location labels; Determining a location tag of the current user according to the location information of the current user and a plurality of different location tags; A location tag is added to the plurality of the level order commodities, and a plurality of the level order commodities having the same location tag as the current user are determined according to the location tag of the current user.

6. The takeaway advertising delivery system based on user connection strength according to claim 5, characterized in that: Also includes: A product filtering unit is used to determine the preset order distance of the current user based on the historical order information of the current user, and filter multiple level order products with the same location tag as the current user based on the preset order distance and preset level order products to obtain multiple filtered level order products.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method for delivering takeout advertisements based on user connection strength according to any one of claims 1 to 4 is implemented.

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