CN111292136A

CN111292136A - Mobile advertisement screening and putting method and system

Info

Publication number: CN111292136A
Application number: CN202010155691.8A
Authority: CN
Inventors: 李维
Original assignee: 李维
Current assignee: Guangdong wanwei Computer Service Co.,Ltd.
Priority date: 2020-03-09
Filing date: 2020-03-09
Publication date: 2020-06-16
Anticipated expiration: 2040-03-09
Also published as: CN111292136B

Abstract

The embodiment of the application provides a mobile advertisement screening and delivering method and a mobile advertisement screening and delivering system, wherein the method comprises the following steps: the method comprises the steps that a terminal obtains operation data of a target object in a set time period, and identifies the operation data to determine a category corresponding to the operation data; the terminal reserves n operation data in the operation data positioned in a preset category list; performing keyword identification on each operation data in the n operation data to obtain a plurality of keywords, and performing association processing on the plurality of keywords to obtain a plurality of areas; the terminal extracts the product information from the plurality of areas, inquires the advertisement link corresponding to the product information, and puts the advertisement link to the target object. The technical scheme provided by the application has the advantage of high user experience.

Description

Mobile advertisement screening and putting method and system

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method and a system for screening and delivering mobile advertisements.

Background

The mobile advertisement is an advertisement displayed when a mobile application or a mobile webpage is accessed through a mobile device (a mobile phone, a PSP, a tablet computer, etc.), and the advertisement format comprises: pictures, text, commercial breaks, html5, links, video, gravity-sensitive advertisements, and the like.

The existing terminal advertisement is generally delivered based on the historical data of the user in the app, and the delivery has a delay, which affects the effectiveness of advertisement delivery.

Disclosure of Invention

The embodiment of the application discloses a mobile advertisement screening and launching method, which can determine launched advertisements through historical data of other apps, improve the advertisement launching effect and improve the user experience.

The first aspect of the embodiment of the application discloses a mobile advertisement screening and delivering method, which comprises the following steps:

the method comprises the steps that a terminal obtains operation data of a target object in a set time period, and identifies the operation data to determine a category corresponding to the operation data;

the terminal reserves n operation data in the operation data positioned in a preset category list; performing keyword identification on each operation data in the n operation data to obtain a plurality of keywords, and performing association processing on the plurality of keywords to obtain a plurality of areas;

the terminal extracts the product information from the plurality of areas, inquires the advertisement link corresponding to the product information, and puts the advertisement link to the target object.

A second aspect of embodiments of the present application provides a terminal comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps of the method provided in the first aspect.

A third aspect of embodiments of the present application provides a computer-readable storage medium, which is characterized by storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the method provided in the first aspect.

A third aspect of the embodiments of the present application provides a terminal, including:

the acquisition unit is used for acquiring operation data of the target object in a set time period, identifying the operation data and determining a category corresponding to the operation data;

the processing unit is used for reserving n operation data positioned in a preset category list in the operation data; performing keyword identification on each operation data in the n operation data to obtain a plurality of keywords, and performing association processing on the plurality of keywords to obtain a plurality of areas; and extracting the product information from the plurality of areas, inquiring the advertisement link corresponding to the product information, and putting the advertisement link to the target object.

By implementing the embodiment of the application, the technical scheme provided by the application analyzes and determines the operation data in the set time period, obtains the association degree of the keywords, determines the products which the user may pay attention to in the set time period according to the association degree, and then puts in the corresponding advertisements.

Drawings

The drawings used in the embodiments of the present application are described below.

Fig. 1 is a schematic structural diagram of a terminal according to an embodiment of the present application;

fig. 2 is a schematic flow chart of a mobile advertisement screening and delivering method according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an apparatus provided in an embodiment of the present application.

Detailed Description

The embodiments of the present application will be described below with reference to the drawings.

The term "and/or" in this application is only one kind of association relationship describing the associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in this document indicates that the former and latter related objects are in an "or" relationship.

The "plurality" appearing in the embodiments of the present application means two or more. The descriptions of the first, second, etc. appearing in the embodiments of the present application are only for illustrating and differentiating the objects, and do not represent the order or the particular limitation of the number of the devices in the embodiments of the present application, and do not constitute any limitation to the embodiments of the present application. The term "connect" in the embodiments of the present application refers to various connection manners, such as direct connection or indirect connection, to implement communication between devices, which is not limited in this embodiment of the present application.

A terminal in the embodiments of the present application may refer to various forms of UE, access terminal, subscriber unit, subscriber station, mobile station, MS (mobile station), remote station, remote terminal, mobile device, computer, server, cloud system user terminal, terminal device (terminal equipment), wireless communication device, user agent, or user equipment. The terminal device may also be a cellular phone, a cordless phone, an SIP (session initiation protocol) phone, a WLL (wireless local loop) station, a PDA (personal digital assistant) with a wireless communication function, a handheld device with a wireless communication function, a computing device or other processing device connected to a wireless modem, a vehicle-mounted device, a wearable device, a terminal device in a future 5G network or a terminal device in a future evolved PLMN (public land mobile network, chinese), and the like, which are not limited in this embodiment.

Referring to fig. 1, fig. 1 is a schematic structural diagram of a terminal, and as shown in fig. 1, the terminal may include: processor 101, input unit 102, communication module 103, memory 104 and camera 105.

The input unit 102 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the terminal. Specifically, the input unit 102 may include a touch display screen, a fingerprint recognition device, and other input devices. The fingerprint identification device can set up alone, and certainly in practical application, the fingerprint identification device also can combine to the touch-control display screen, realizes fingerprint under the screen promptly. The input unit may also include other input devices. In particular, other input devices may include, but are not limited to, one or more of physical keys, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

The processor 101 is a control center of the terminal, connects various parts of the entire terminal using various interfaces and lines, and performs various functions of the terminal and processes data by operating or executing software programs and/or modules stored in the memory 104 and calling data stored in the memory 104, thereby performing overall monitoring or control of the terminal. Alternatively, processor 101 may include one or more processing units; optionally, the processor 101 may integrate an application processor, a modem processor, and an artificial intelligence chip, where the application processor mainly processes an operating system, a user interface, an application program, and the like, the modem processor mainly processes wireless communication, and the artificial intelligence chip mainly implements calculation of a neural network model. It will be appreciated that the modem processor or artificial intelligence chip described above may not be integrated into the processor 101.

Further, the memory 104 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The communication module 103 may be used for receiving and transmitting information. In general, the communication module 103 includes, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the communication module 103 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to Global System for mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.

The camera 105 may be used to capture a picture, scan a two-dimensional code, and so on, and process image data. The camera 105 specifically can include a front camera or a rear camera, and also can include two cameras for the rear camera, certainly can also be two camera settings for the front camera, and this application is not restricted to the quantity and the specific position of camera, and the picture that camera 105 gathered can be transmitted for and carries out relevant processing for processor 101.

Referring to fig. 2, fig. 2 provides a mobile advertisement screening and delivering method, which is executed at the terminal shown in fig. 1, and includes the following steps:

s200, the terminal acquires operation data of a target object in a set time period, and identifies the operation data to determine a category corresponding to the operation data;

specifically, in an alternative, the target object may be a person, such as an adult, a child, or the like, but may also be subdivided, such as a man, a woman, an age, or the like.

The set time period may be 6 hours, 1 day, 2 days, or the like.

Specifically, in an alternative, the operational data includes, but is not limited to; application operating data, terminal system operating data, power consumption data, and the like.

Specifically, identifying the operation data determines the category corresponding to the operation data through an AI identification model, i.e., a classifier determines the category thereof.

The above categories include, but are not limited to: games, shopping, cars, social interactions, and the like.

Step S201, the terminal reserves n operation data in a preset category list in the operation data; performing keyword identification on each operation data in the n operation data to obtain a plurality of keywords, and performing association processing on the plurality of keywords to obtain a plurality of areas;

specifically, in an optional scheme, the preset category list may be a category list set by the target object itself, and certainly may also be a category list set by the terminal system.

Specifically, the obtaining a plurality of keywords by performing keyword recognition on each of the n pieces of operation data may include:

the method comprises the steps of obtaining n formats of operation data, calling a recognition model corresponding to the formats to carry out keyword recognition on the operation data to obtain a plurality of keywords.

The recognition model includes, but is not limited to, a voice recognition model, a character recognition model, and a picture recognition model.

It should be noted that, for n pieces of operation data, for video-class operation data, a plurality of recognition models need to be called to recognize the operation data.

Specifically, in an optional scheme, the implementation method for performing association processing on a plurality of keywords to obtain a plurality of regions may specifically include:

setting the same keywords into a group from the keywords to obtain w groups, and calculating the association degree of each group, wherein the association degree calculation mode specifically comprises the following steps: calculating the association degrees of the first group of the w groups and the w-1 group to obtain w-1 association degrees, dividing the x groups of the w-1 association degrees which are greater than the association threshold value and the first group into first areas, and performing association degree calculation on the groups outside the first areas until all the groups are divided into areas, namely obtaining a plurality of areas.

Calculating the association degrees of the first group of w and the w-1 group to obtain w-1 association degrees may specifically include:

and extracting a keyword from the w groups respectively to obtain w keywords, determining classification numbers of the w keywords in a preset classification list, wherein the association degree is a first classification number/a second classification number, the second classification number is a classification number with a large value in the two keywords, and the first classification number is a classification number with a small value in the two keywords.

The preset classification list may be an existing list, such as a trademark classification list, and a Taobao classification list. The Taobao list is used as an example for explanation.

Assuming that the first keyword is yoga trousers, the second keyword is a yoga bra, the 1-level category movement (assumed as 1) of the yoga trousers in the Taobao category list is determined, the 2-level category is yoga (assumed as 2), the yoga trousers are ranked in the 2-level category 3, the yoga bra is ranked in the 4 th, the classification number of the yoga trousers is determined to be 123, the classification number of the yoga bra is 124, and the degree of association is 123/124. For another example, the second keyword is a sports bra, the sports bra moves in the category 1 of the table of categories of panning (assumed to be 1), the category 2 is fitness (assumed to be 1), the sports bra ranks 2 in the category 2, the category number of the sports bra is 112, the association degree is 112/123, in this case, the relatively associated category can be calculated, and for another example, the second keyword is a skirt, which is women's clothing (assumed to be 2) in the category 1 of the table of filing categories, the category 2 is fashion (1), the skirt is 5 in the category 2, the category number of the second keyword can be 215, and the association degree is 123/215, which is very small and obviously cannot be placed in a region.

Step S202, the terminal extracts product information from a plurality of areas, inquires an advertisement link corresponding to the product information and puts the advertisement link to a target object.

Specifically, the α th region with the largest number of keywords is obtained from all the regions, the keyword a with the largest number of the same keywords is extracted from the α th region, the type b is identified and confirmed for the keyword a, if the type b is a product category, the keyword a is determined to be product information, the advertisement link corresponding to the keyword a is inquired and delivered to the target object, if the keyword a category is identified to be a non-product category, the mapping product of the keyword a is determined according to the category mapping relationship of the keyword a, the keyword a + mapping product is determined to be the product information, and the advertisement link corresponding to the product information is delivered to the target object.

Specifically, regarding the keyword a, there are generally two large categories, namely, directly, a product, such as a jacket, a coat, and the like, and another category is a non-product, such as a person name, a place name, and the like, which needs to be determined according to a mapping relationship, where the mapping relationship has 2 confirmation manners, the first manner is a fixed one, that is, a preset mapping relationship, such as a person name corresponding to a dress, a place name corresponding to a food, and the second manner is a flexible selection manner, for example, the β th area with the second most number of keywords can be obtained from all areas, the same keyword, i.e., the keyword B, with the largest number of keywords can be extracted from the α th area, and if the keyword B belongs to a product category, the category mapping relationship of the keyword a is determined to be the keyword a-keyword B.

By way of a practical example, if the keyword A is 'Aisha' which belongs to a name of a person, and the keyword B determined in the β th area is 'skirt', the mapping relation is determined to be the name of the person-skirt, and the product category is determined to be the Aisha skirt.

According to the technical scheme, the association degree of the keywords is obtained by analyzing and determining the operation data of the set time period, the products which are possibly concerned by the user in the set time period are determined according to the association degree, and then the corresponding advertisements are launched.

An embodiment of the present application further provides a terminal, including:

Optionally, the processing unit is specifically configured to set the same keywords into a group from the multiple keywords to obtain w groups, and calculate a relevance of each group, where the relevance calculation mode specifically includes: calculating the association degrees of the first group of the w groups and the w-1 group to obtain w-1 association degrees, dividing the x groups of the w-1 association degrees which are greater than the association threshold value and the first group into first areas, and performing association degree calculation on the groups outside the first areas until all the groups are divided into areas, namely obtaining a plurality of areas.

Optionally, the processing unit is specifically configured to extract a keyword from the w groups to obtain w keywords, determine that the w keywords have classification numbers in a preset classification list, where the association degree is equal to a first classification number/a second classification number, the second classification number is a classification number with a larger value in the two keywords, and the first classification number is a classification number with a smaller value in the two keywords.

Optionally, the processing unit is specifically configured to obtain α th regions with the largest number of keywords from all the regions, extract the same keywords with the largest number from the α th region, that is, the keywords a, identify and confirm the type b for the keywords a, determine that the keywords a are product information if the type b is a product category, query the advertisement link corresponding to the keywords a, and deliver the advertisement link to the target object, determine a mapping product of the keywords a according to a category mapping relationship of the keywords a if the type a is identified as a non-product category, determine that the keyword a + mapping product is the product information, and deliver the advertisement link corresponding to the product information to the target object.

An embodiment of the present application further provides a computer program product, and when the computer program product runs on a terminal, the method flow shown in fig. 2 is implemented.

Embodiments of the present application also provide a terminal including a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps in the method of the embodiment shown in fig. 2.

Referring to fig. 3, fig. 3 is a device 30 (control center) provided in an embodiment of the present application, where the device 30 includes a processor 301, a memory 302, and a communication interface 303, and the processor 301, the memory 302, and the communication interface 303 are connected to each other through a bus 304.

The memory 302 includes, but is not limited to, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), or a portable read-only memory (CD-ROM), and the memory 302 is used for related computer programs and data. The communication interface 303 is used to receive and transmit data.

The processor 301 may be one or more Central Processing Units (CPUs), and in the case that the processor 301 is one CPU, the CPU may be a single-core CPU or a multi-core CPU.

The processor 301 in the device 30 is configured to read the computer program code stored in the memory 302, and perform the following operations:

it should be noted that the implementation of each unit may also correspond to the corresponding description of the method embodiment shown in fig. 2.

Acquiring operation data of a target object in a set time period, and identifying the operation data to determine a category corresponding to the operation data;

reserving n operation data located in a preset category list in the operation data; performing keyword identification on each operation data in the n operation data to obtain a plurality of keywords, and performing association processing on the plurality of keywords to obtain a plurality of areas; and extracting the product information from the plurality of areas, inquiring the advertisement link corresponding to the product information, and putting the advertisement link to the target object.

Optionally, the same keywords are set as a group from the keywords to obtain w groups, and the association degree of each group is calculated in a manner that: calculating the association degrees of the first group of the w groups and the w-1 group to obtain w-1 association degrees, dividing the x groups of the w-1 association degrees which are greater than the association threshold value and the first group into first areas, and performing association degree calculation on the groups outside the first areas until all the groups are divided into areas, namely obtaining a plurality of areas.

Optionally, one keyword is extracted from the w groups to obtain w keywords, a classification number of the w keywords in a preset classification list is determined, and the association degree is equal to a first classification number/a second classification number, where the second classification number is a classification number with a large value in the two keywords, and the first classification number is a classification number with a small value in the two keywords.

Optionally, an α th region with the largest number of keywords is obtained from all the regions, the same keywords with the largest number are extracted from the α th region, that is, the keywords a are identified and confirmed to be of type b, if the type b is a product category, the keywords a are determined to be product information, advertisement links corresponding to the keywords a are inquired and delivered to the target object, if the keyword a category is identified to be a non-product category, mapping products of the keywords a are determined according to a category mapping relationship of the keywords a, the keywords a + mapping products are determined to be the product information, and the advertisement links corresponding to the product information are delivered to the target object.

The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.

Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A mobile advertisement screening and delivering method is characterized by comprising the following steps:

2. The method according to claim 1, wherein the method for associating the plurality of keywords to obtain the plurality of regions specifically comprises:

3. The method according to claim 2, wherein the calculating the association degrees of the first group of w and the w-1 group to obtain the w-1 association degrees specifically comprises:

4. The method according to claim 3, wherein the extracting product information from the plurality of regions, querying an advertisement link corresponding to the product information, and delivering the advertisement link to the target object specifically comprises:

the α th area with the largest number of keywords is obtained from all the areas, the same keywords with the largest number are extracted from the α th area, namely the keyword A, the type b is identified and confirmed for the keyword A, if the type b is a product type, the keyword A is determined to be product information, the advertisement link corresponding to the keyword A is inquired and is delivered to the target object, if the keyword A type is identified to be a non-product type, the mapping product of the keyword A is determined according to the category mapping relation of the keyword A, the keyword A + mapping product is determined to be the product information, and the advertisement link corresponding to the product information is delivered to the target object.

5. A terminal comprising a processor, memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps of the method of any of claims 1-4.

6. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-4.

7. A mobile advertisement screening and delivering system is characterized by comprising: