CN109767257B - Advertisement putting method and system based on big data analysis and electronic equipment - Google Patents
Advertisement putting method and system based on big data analysis and electronic equipment Download PDFInfo
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Abstract
The invention belongs to the technical field of big data, and relates to an advertisement putting method, an advertisement putting system and electronic equipment based on big data analysis, wherein the advertisement putting system comprises a server side and a terminal where an advertisement putting party is located, and the advertisement putting method based on big data analysis comprises the following steps: the server side obtains product information, wherein the product information is used for describing products, and the products comprise local products and third-party products; according to the data format type of the product information, carrying out format conversion on the product information to obtain product information in a standard format; storing the product information in the standard format into a product library; and providing advertisement putting service for the advertisement putting party through the product information stored in the product library. The advertisement putting method, the advertisement putting system and the electronic equipment based on big data analysis solve the problem of poor universality of advertisement putting in the prior art.
Description
Technical Field
The invention relates to the technical field of big data, in particular to an advertisement putting method, an advertisement putting system and electronic equipment based on big data analysis.
Background
With the development of internet technology, more and more clients provide advertisement delivery functions, however, the clients can deliver advertisements only for local products and audience users, or can deliver advertisements only for third-party products and audience users, so that the conventional advertisement delivery method is poor in universality, and great inconvenience is caused to advertisement delivery by advertisement delivery parties.
Disclosure of Invention
In order to solve the technical problems, an object of the present invention is to provide an advertisement delivery method, system and electronic device based on big data analysis.
The technical scheme adopted by the invention is as follows:
in a first aspect, an advertisement delivery method based on big data analysis is applied to an advertisement delivery system, where the advertisement delivery system includes a server and a terminal where an advertisement delivery party is located, and the method includes: the server side obtains product information, wherein the product information is used for describing products, and the products comprise local products and third-party products; according to the data format type of the product information, carrying out format conversion on the product information to obtain product information in a standard format; storing the product information in the standard format into a product library; and providing advertisement putting service for the advertisement putting party through the product information stored in the product library.
In a second aspect, an advertisement delivery system based on big data analysis, where the advertisement delivery system includes a server and a terminal where an advertisement delivery party is located, and the server includes: the information acquisition module is used for acquiring product information by the server, wherein the product information is used for describing a product, and the product comprises a local product and a third party product; the format conversion module is used for carrying out format conversion on the product information according to the data format type of the product information to obtain product information in a standard format; the information storage module is used for storing the product information in the standard format into a product library; and the advertisement putting module is used for providing advertisement putting service for the advertisement putting party through the product information stored in the product library.
In an exemplary embodiment, the information acquisition module includes: a type identifying unit for identifying a data format type of the product information, wherein the data format type comprises a standard format and an extended format; a format conversion unit, configured to convert the product information in the extended format into the product information in the standard format if the data format type of the product information is in the extended format; and the step jump unit is used for executing the step of storing the product information in the standard format into a product library if the data format type of the product information is in the standard format.
In an exemplary embodiment, the product information is represented by a web page, and the format conversion unit includes: a label traversing subunit, configured to traverse labels in the product information in the extended format; a first conversion subunit, configured to convert, if the tag attribute traversed to be included in the tag is a native attribute, the tag including the native attribute into a native tag according to a native syntax; the second conversion subunit is used for converting the label containing the custom attribute into an expansion label with a corresponding relation according to the corresponding relation between the custom attribute and the expansion label if the label attribute contained in the traversed label is the custom attribute; and the information generation subunit is used for adding the original label and the expansion label to the product information in the standard format.
In an exemplary embodiment, the system further comprises: the operation detection module is used for detecting the operation triggered by the third party product inlet by the terminal where the advertisement delivery party is located; and the information reporting module is used for reporting the webpage link address to the server side if the operation is detected, so that the server side accesses the webpage through the webpage link address to acquire product information for describing the third-party product.
In an exemplary embodiment, the advertisement delivery module includes: a request receiving unit, configured to receive an advertisement delivery request initiated by a terminal where the advertisement delivery party is located, where the advertisement delivery request carries a product information identifier of a product requested to be delivered by the advertisement delivery party; the information acquisition unit is used for acquiring product information corresponding to the product information identifier from the product library; the material generating unit is used for configuring an advertisement template for the acquired product information and generating advertisement materials; and the material pushing unit is used for pushing the advertisement materials to the terminal where the advertisement delivery party is located.
In an exemplary embodiment, the material generation unit includes: the identification extraction subunit is used for extracting the advertisement template identification from the advertisement putting request; the template searching subunit is used for searching the advertisement templates in the advertisement template library according to the advertisement template identifiers to obtain advertisement templates corresponding to the advertisement template identifiers; and the association storage subunit is used for storing the acquired product information and the advertisement template in association as the advertisement material.
In an exemplary embodiment, the system further comprises: the material receiving module is used for receiving the advertisement materials by the terminal where the advertisement delivery party is located; the target user determining module is used for carrying out validity check on the audience users according to the set blacklist, and taking the audience users passing the validity check as target users; and the product delivery module is used for delivering products to the target users according to the advertisement materials.
In a third aspect, an electronic device includes a processor and a memory having stored thereon computer readable instructions that when executed by the processor implement the big data analysis based advertising method as described above.
In a fourth aspect, a computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the big data analysis based advertisement delivery method as described above.
In the technical scheme, the server side acquires the product information for describing the product, so as to convert the format of the product information according to the data format type of the product information, obtain the product information in the standard format, store the product information in the standard format into the product library, and provide the advertisement delivery service for the advertisement delivery party through the product information stored in the product library, thereby realizing the differentiated aggregation of the local product and the third party product through the product library provided by the server side and effectively expanding the universality of advertisement delivery.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic diagram of an implementation environment in accordance with the present invention.
Fig. 2 is a block diagram of a hardware structure of a terminal according to an exemplary embodiment.
Fig. 3 is a block diagram of a hardware architecture of a server according to an exemplary embodiment.
FIG. 4 is a flowchart illustrating a method of advertising based on big data analysis, according to an example embodiment.
FIG. 5 is a flowchart illustrating another method of advertising based on big data analysis, according to an example embodiment.
FIG. 6 is a flow chart of step 330 in one embodiment of the corresponding embodiment of FIG. 4.
FIG. 7 is a flow chart of step 333 in one embodiment of the corresponding embodiment of FIG. 6.
Fig. 8 is a flow chart of step 370 in one embodiment of the corresponding embodiment of fig. 4.
Fig. 9 is a flow chart of step 373 in one embodiment of the corresponding embodiment of fig. 8.
FIG. 10 is a flowchart illustrating another method of advertising based on big data analysis, according to an example embodiment.
FIG. 11 is a block diagram of an advertisement delivery system, according to an example embodiment.
Fig. 12 is a block diagram of a hardware architecture of an electronic device, according to an example embodiment.
There has been shown in the drawings, and will hereinafter be described, specific embodiments of the invention with the understanding that the present disclosure is to be considered in all respects as illustrative, and not restrictive, the scope of the inventive concepts being indicated by the appended claims.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the invention. Rather, they are merely examples of systems and methods that are consistent with aspects of the invention as detailed in the accompanying claims.
FIG. 1 is a schematic diagram of an implementation environment involved in an advertisement delivery method based on big data analysis. The implementation environment includes an advertisement delivery system that includes a terminal 110 where an advertisement delivery party is located and a server 130.
The terminal 110 where the advertisement delivery party is located may be a desktop computer, a notebook computer, a tablet computer, a smart phone, or other electronic devices that can be operated by a client for providing an advertisement delivery function, which is not limited herein.
It should be noted that the client providing the advertisement delivery function may be in the form of an application program or a web page, and accordingly, the operation interface provided by the client may be referred to as an application program window or a web page, which is not limited herein.
A network connection is established between the terminal 110 where the advertisement delivery party is located and the server 130 through a wired or wireless connection, so that data transmission between the terminal 110 where the advertisement delivery party is located and the server 130 is realized based on the network connection, for example, the transmitted data includes an advertisement delivery request.
The server 130 may be one server, a server cluster formed by a plurality of servers, or a cloud computing center formed by a plurality of servers. This server is an electronic device that provides a background service to the user, for example, the background service includes an advertisement delivery service.
Through the interaction between the terminal 110 where the advertisement delivery party is located and the server 130, the client running on the terminal 110 where the advertisement delivery party is located will initiate an advertisement delivery request to the server 130, and request the server 130 to provide advertisement delivery service for the advertisement delivery party.
For the server 130, an advertisement delivery service is provided to an advertisement delivery party in response to an advertisement delivery request.
Referring to fig. 2, fig. 2 is a block diagram of a terminal according to an exemplary embodiment. Such a terminal is suitable for use in the terminal 110 of the advertising party in the implementation environment shown in fig. 1.
It should be noted that the terminal is only an example adapted to the present invention and should not be construed as providing any limitation on the scope of use of the present invention. Nor should the terminal be construed as necessarily relying on or necessarily having one or more of the components of the exemplary terminal 100 shown in fig. 2.
As shown in fig. 2, the terminal 100 includes a memory 101, a memory controller 103, one or more (only one is shown in fig. 2) processors 105, a peripheral interface 107, a radio frequency module 109, a positioning module 111, a camera module 113, an audio module 115, a touch screen 117, and a key module 119. These components communicate with each other via one or more communication buses/signal lines 121.
The memory 101 may be used to store computer programs and modules, such as computer readable instructions and modules corresponding to the advertisement delivery method and system based on big data analysis in the exemplary embodiment of the present invention, and the processor 105 executes the computer readable instructions stored in the memory 101 to perform various functions and data processing, that is, to complete the advertisement delivery method based on big data analysis.
Memory 101, which is the carrier of resource storage, may be random access memory, e.g., high speed random access memory, non-volatile memory, such as one or more magnetic storage systems, flash memory, or other solid state memory. The storage means may be a temporary storage or a permanent storage.
The peripheral interface 107 may include at least one wired or wireless network interface, at least one serial-to-parallel conversion interface, at least one input/output interface, at least one USB interface, etc. for coupling external various input/output systems to the memory 101 and the processor 105 to enable communication with the external various input/output systems.
The radio frequency module 109 is configured to receive and transmit electromagnetic waves, and to implement mutual conversion between the electromagnetic waves and the electrical signals, so as to communicate with other devices through a communication network. The communication network may include a cellular telephone network, a wireless local area network, or a metropolitan area network, and may employ various communication standards, protocols, and techniques.
The positioning module 111 is configured to obtain a current geographic location of the terminal 100. Examples of the positioning module 111 include, but are not limited to, global satellite positioning system (GPS), wireless local area network or mobile communication network based positioning technology.
The camera module 113 is attached to a camera for taking pictures or videos. The photographed pictures or videos may be stored in the memory 101, and may also be transmitted to an upper computer through the rf module 109.
The audio module 115 provides an audio interface to the user, which may include one or more microphone interfaces, one or more speaker interfaces, and one or more earphone interfaces. The interaction of the audio data with other devices is performed through the audio interface. The audio data may be stored in the memory 101 or may be transmitted via the radio frequency module 109.
The touch screen 117 provides an input-output interface between the terminal 100 and the user. Specifically, the user may perform an input operation, such as a gesture operation of clicking, touching, sliding, etc., through the touch screen 117, so that the terminal 100 responds to the input operation. The terminal 100 displays and outputs the output content formed by any one form or combination of the text, the picture or the video to the user through the touch screen 117.
The key module 119 includes at least one key to provide an interface for a user to input to the terminal 100, and the user can cause the terminal 100 to perform different functions by pressing different keys. For example, the sound adjustment key may allow the user to adjust the volume of sound played by the terminal 100.
It is to be understood that the configuration shown in fig. 2 is merely illustrative and that terminal 100 may also include more or fewer components than shown in fig. 2 or have different components than shown in fig. 2. The components shown in fig. 2 may be implemented in hardware, software, or a combination thereof.
Fig. 3 is a block diagram of a hardware architecture of a server according to an exemplary embodiment. Such a server is suitable for use as server 130 in the implementation environment shown in fig. 1.
It should be noted that the server is just an example adapted to the present invention, and should not be construed as providing any limitation on the scope of use of the present invention. Nor should the server be construed as requiring reliance on or necessarily having one or more of the components in the exemplary server 200 shown in fig. 3.
The hardware structure of the server 200 may be greatly different due to different configurations or performances, as shown in fig. 3, the server 200 includes: a power supply 210, an interface 230, at least one memory 250, and at least one central processing unit (CPU, central Processing Units) 270.
The power supply 210 is configured to provide an operating voltage for each hardware device on the server 200.
The interface 230 includes at least one wired or wireless network interface 231, at least one serial-to-parallel interface 233, at least one input-output interface 235, and at least one USB interface 237, etc., for communicating with external devices.
The memory 250 may be a carrier for storing resources, such as a read-only memory, a random access memory, a magnetic disk, or an optical disk, where the resources stored include an operating system 251, application programs 253, and data 255, and the storage mode may be transient storage or permanent storage. The operating system 251 is used for managing and controlling various hardware devices and application programs 253 on the server 200, so as to implement calculation and processing of the mass data 255 by the central processor 270, which may be Windows server, mac OS XTM, unixTM, linuxTM, freeBSDTM, etc. The application 253 is a computer program that performs at least one specific task based on the operating system 251, and may include at least one module (not shown in fig. 3), each of which may respectively include a series of computer readable instructions for the server 200. The data 255 may be photographs, pictures, etc. stored on disk.
The central processor 270 may include one or more of the above processors and is configured to communicate with the memory 250 via a bus for computing and processing the mass data 255 in the memory 250.
As described in detail above, the server 200 to which the present invention is applied will complete the advertisement delivery method based on big data analysis by reading a series of computer readable instructions stored in the memory 250 through the central processor 270.
Furthermore, the present invention can be realized by hardware circuitry or by a combination of hardware circuitry and software, and thus, the implementation of the present invention is not limited to any specific hardware circuitry, software, or combination of the two.
Referring to fig. 4, in an exemplary embodiment, an advertisement delivery method based on big data analysis is suitable for an advertisement delivery system in the implementation environment shown in fig. 1, where the advertisement delivery system includes a terminal 110 where an advertisement delivery party is located and a server 130, the structure of the terminal 110 may be shown in fig. 2, and the structure of the server 130 may be shown in fig. 3.
The advertisement putting method based on big data analysis can be executed by a server side and can comprise the following steps:
in step 310, the server obtains product information.
Wherein the product information is used to describe the product, the product information includes, but is not limited to: product name, product price, product profile, product details, etc.
For clients providing advertising functionality (running on the terminal where the advertising party is located), products include local products and third party products. That is, if the advertiser registers for a product at the client, the product is a local product for the client, and the remaining products that are not registered are considered third party products for the client.
For the local product, with the registration of the local product, product information describing the local product can be reported to the server by the client. After the product information is reported, the server can store the product information to a product library in real time, or can be stored in a cache space in advance and then restored to the product library.
Therefore, in the obtaining of the product information for describing the local product, the server may be the product information reported by the client in real time, or may be the product information stored in advance in the cache space, that is, the product information reported by the client in a historical time period is read, which is not limited herein.
In this embodiment, the client adds a third party product portal to enable the server to obtain product information describing the third party product, since the third party product is not registered in the client.
As shown in fig. 5, the acquisition process of product information for describing a third party product may include the steps of:
in step 410, the terminal where the advertisement delivery party is located detects an operation triggered by the third party product entry.
And 430, if the operation is detected, reporting the webpage link address to the server so that the server accesses the webpage through the webpage link address to acquire the product information for describing the third-party product.
If the advertisement delivery party wants to deliver advertisements to audience users aiming at third-party products, the operation can be triggered in the third-party product entrance, so that the service end obtains product information for describing the third-party products.
For example, the third party product entry is an input dialog box, and the advertisement delivery party can input the web page link address corresponding to the product information in the input dialog box, so that the server can access the web page through the web page link address to obtain the corresponding product information.
The input operation is the operation triggered by the advertisement dispenser in the third party product inlet.
It should be noted that, both the product information describing the local product and the product information describing the third party product may be regarded as big data, and collected in advance with various actions of the advertisement delivery party (such as registration, login, advertisement delivery, etc.) so as to be used for subsequent big data analysis, for example, advertisement delivery according to the embodiments of the present invention.
And 330, converting the format of the product information according to the data format type of the product information to obtain the product information in the standard format.
It will be appreciated that even with the same product, if product registration is performed in different clients providing advertising functionality, the generated product information is not necessarily identical, and thus the data format types of the product information tend to be different for the local product and the third party product.
For this reason, before storing the product information into the product library, format conversion of the product information is required to implement differential aggregation of the local product and the third party product in the product library.
Further, to enable differential aggregation of local and third party products, data format types include standard formats and extended formats.
For example, assuming that the product information is represented by a web page, the data format types of the web page include XML and HTML.
Then, the product information describing the local product has a data format type of a standard format, for example, XML. Product information describing a third party product, the data format type of which is an extended format, e.g., HTML.
The product information in the standard format can be directly stored in the product library, and the product information in the extended format can be stored in the product library after being converted into the product information in the standard format.
Specifically, as shown in fig. 6, step 330 may include the steps of:
step 331, the data format type of the product information is identified.
In step 333, if the data format type of the product information is an extended format, the product information in the extended format is converted into product information in a standard format.
If the data format type of the product information is the standard format, step 335, the jump proceeds to step 350.
Step 350, store the product information in the standard format to the product library.
And the product library is used for storing the corresponding relation between the product information and the product information identification. That is, if the product information identification is known, the product information corresponding to the product information identification can be found in the product library.
And step 370, providing advertisement delivery service for the advertisement delivery party through the product information stored in the product library.
For the server, if the advertisement delivery party requests to deliver the advertisement for a certain product, the product information describing the product can be obtained from the product library so as to push the advertisement material containing the product information to the advertisement delivery party, namely, the advertisement delivery service is provided for the advertisement delivery party.
Described herein is advertising material for indicating how a client should place an advertisement containing product information. Such as drop pages, drop locations, etc.
Through the process, for the advertisement delivery party, not only the product information for describing the local product, but also the product information for describing the third party product can be obtained from the product library, so that advertisements containing corresponding product information are delivered for the local product or the third party product to the audience users, thereby effectively expanding the universality of advertisement delivery and greatly facilitating the advertisement delivery of the advertisement delivery party.
Referring to fig. 7, in an exemplary embodiment, step 333 may include the steps of:
step 3331, traversing the tags in the product information in the expanded format.
In this embodiment, the product information is represented by a web page. Specifically, the product information in the standard format is represented by an XML webpage, and the product information in the extended format is represented by an HTML webpage.
For product information in either an extended format or a standard format, represented by a web page, a series of labels is typically included. The series of labels may be classified into various types according to the label attributes they contain, for example, a label containing a style attribute is an attribute type label, a label containing a form attribute is a form type label, a label containing a paragraph attribute is a text type label, and so on.
Wherein, different tag attributes have different roles, for example, style attributes are used for defining style display effects of the web page, form attributes are used for defining style display effects of the form in the web page, paragraph attributes are used for defining paragraph effects of the text in the web page, and the like.
Therefore, the format conversion process of the product information is essentially performed for all the tags in the product information in the extended format, i.e. all the tags in the product information in the extended format are traversed.
In this embodiment, for the tag in the product information in the extended format, there are some tag attributes that cannot be directly converted, in addition to the tag attributes that can be directly converted.
For convenience of description, the tag attributes that cannot be directly converted are defined as custom attributes, and the tag attributes that can be directly converted are defined as native attributes.
If the traversal is to the tag contains a native tag attribute, then the jump proceeds to step 3333.
Otherwise, if the tag attribute included in the traversed tag is a custom attribute, the step 3335 is performed.
If the traversal is to the tag attribute contained in the tag is a native attribute, then the tag containing the native attribute is converted to a native tag according to the native syntax, step 3333.
As described above, the native attributes included in the tag can be directly converted, that is, the native grammar essentially describes the correspondence between the tag including the native attributes and the native tag. Wherein the tags containing native attributes are tags in an HTML web page, and the native tags are tags in an XML web page.
Thus, the tag including the native attribute can be directly converted into the native tag according to the description of the native grammar.
Step 3335, if the label attribute included in the traversed label is a custom attribute, converting the label including the custom attribute into an extended label having a corresponding relationship according to the corresponding relationship between the custom attribute and the extended label.
As described above, the custom attribute contained in the tag cannot be directly converted, and it can be understood that, in the native grammar, there is no correspondence between the tag containing the custom attribute and the native tag.
For this reason, in this embodiment, the native grammar is extended, that is, the correspondence between the custom attribute and the extension tag is added to the native grammar.
Specifically, an extension tag is created for the custom attribute according to the grammar rules supported by the native grammar.
And establishing a corresponding relation between the custom attribute and the created expansion tag, and adding the established corresponding relation to the original grammar.
From the above, in the native grammar, not only the correspondence between the native attribute and the native tag is described, but also the correspondence between the custom attribute and the expansion tag is loaded, so that the tag containing the custom attribute can be converted into the expansion tag according to the correspondence between the custom attribute and the expansion tag.
It should be noted that the extension tag and the native tag belong to tags in the XML web page, and the difference is only that the native tag is converted by the tag containing the native attribute, and the extension tag is converted by the tag containing the custom attribute.
Step 3337, add the native tag and the extended tag to the product information in standard format.
As previously described, the product information in the standard format is represented by an XML webpage, and the product information in the extended format is represented by an HTML webpage.
Therefore, after the traversal of all the tags in the HTML web page is completed, that is, all the tags in the HTML web page are converted into corresponding native tags and extension tags, that is, tags in the XML web page, then the XML web page, that is, the product information in the standard format, can be regenerated according to the native tags and the extension tags.
Under the action of the embodiment, the conversion of the extended format and the standard format of the product information is realized, and a foundation is laid for realizing the differential aggregation of the local product and the third party product in the product library.
Referring to fig. 8, in an exemplary embodiment, step 370 may include the steps of:
step 371, receiving an advertisement delivery request initiated by the terminal where the advertisement delivery party is located, where the advertisement delivery request carries a product information identifier of the product requested to be delivered by the advertisement delivery party.
And 373, acquiring product information corresponding to the product information identification from the product library.
Step 375, configuring an advertisement template for the obtained product information, and generating advertisement materials.
The advertisement templates relate to placement locations, for example, for clients, placement locations may exist on a client top page, other pages on the client, and in the form of floating advertisements, banner advertisements, etc.
Further, the banner advertisement is displayed on the page in a form of traversing the page, and the banner advertisement may be configured as a plurality of different pictures, and the different pictures may be switched, for example, the different pictures may be automatically switched, or the different pictures may be switched under the control of an audience user. That is, the advertisement delivery party can present the advertisement to be delivered to the audience as a certain picture in any page through advertisement of the client.
The floating advertisement is suspended on the page, and can be automatically closed after a preset time period or closed under the control of an audience user after being displayed. In other words, the advertisement delivery party can present the advertisement to be delivered to the audience as a floating advertisement on any page of the client.
From the above, advertisement templates include, but are not limited to: the general advertisement of the client-side home page, the floating advertisement of the client-side home page, the general advertisement of other client-side pages, the floating advertisement of other client-side pages and the like.
If present on a plurality of other pages, the types of advertisement templates further include: the general advertisement of the first other page of the client, the floating advertisement of the first other page of the client, the general advertisement of the second other page of the client, the floating advertisement of the second other page of the client, … …, the general advertisement of the nth other page of the client, the floating advertisement of the nth other page of the client, etc.
The configuration of the advertisement templates may be performed randomly or based on the instruction of the advertisement delivery party, and the embodiment is not limited thereto.
After the configuration of the advertisement templates is completed, the association relationship between the product information and the advertisement templates can be established and stored as advertisement materials.
That is, the advertisement material indicates which delivery position of which page in the client the advertisement should be delivered to, and indicates which product the advertisement should be delivered for, through the product information.
And step 377, pushing the advertisement materials to the terminal of the advertisement delivery party.
Through the process, self-service advertisement delivery is realized, personalized requirements of advertisement delivery parties are met, the advertisement delivery method is flexible and changeable, and advertisement delivery experience of the advertisement delivery parties is improved.
Referring to fig. 9, in an exemplary embodiment, step 375 may include the steps of:
step 3751, extracting the advertisement template identifier from the advertisement delivery request.
In this embodiment, for the server, the configuration of the advertisement template is completed based on the indication of the advertisement delivery party.
For the terminal of the advertisement delivery party, a selection inlet is additionally arranged for selecting the advertisement templates, and the advertisement delivery party can select the advertisement templates which are required to be configured for the product information according to the actual required delivery position of the advertisement to be delivered by the advertisement delivery party.
For example, the portal of choice lists a number of advertisement template identifiers, each of which is used to uniquely represent an advertisement template. Then, the advertisement putting convenience can click an advertisement template identification from the list, namely an advertisement template which represents the actual requirement of the advertisement putting convenience. The clicking operation is the selection operation triggered by the advertisement dispenser at the selection inlet.
Accordingly, after the advertisement template identifier selected by the advertisement delivery party is obtained, the terminal where the advertisement delivery party is located can initiate an advertisement delivery request to the server according to the advertisement template identifier.
And for the server side, the advertisement template identification carried in the advertisement putting request can be obtained.
Step 3753, searching the advertisement template in the advertisement template library according to the advertisement template identification, and obtaining the advertisement template corresponding to the advertisement template identification.
Step 3755, the obtained product information is stored in association with the advertisement template as advertisement material.
Advertisement material is uniquely identified by a material number. It will be appreciated that the material numbers are different and the advertising material is different. Then, as long as the material number is known, the advertisement material uniquely identified by the material number is determined, and further, based on the advertisement material, the advertisement delivery party knows which delivery position of which page in the client is required to deliver the advertisement for which product.
Further, it should be appreciated that the material numbers accurately characterize the advertisement material in character form, but the material numbers in character form are not easily memorized for the advertisement delivery party, so that the client side will also provide a name editing entry for the advertisement material during the generation of the advertisement material, so that the advertisement material will also be accurately characterized in text form (e.g., material name) to facilitate memorization by the advertisement delivery party.
Further, after the advertisement materials are generated, the advertisement materials are stored in a material library, so that the advertisement materials are convenient for the follow-up use of advertisement delivery parties.
For example, the advertisement delivery party needs to modify the delivery position of the delivered advertisement in the client, namely, the corresponding advertisement material can be searched from the advertisement materials stored in the material library according to the material number or the material name, and then the advertisement material is edited again by the client, so that repeated generation of the advertisement material is avoided, and further the efficiency of advertisement delivery is improved.
In the process, the self-service generation scheme of the advertisement materials is realized, rich advertisement materials are provided for advertisement delivery, and personalized requirements of advertisement delivery parties can be further met effectively.
Referring to fig. 10, in an exemplary embodiment, the method as described above may further include the steps of:
Step 510, the terminal where the advertisement delivery party is located receives advertisement materials.
After the server pushes the advertisement material to the terminal of the advertisement delivery party, the terminal of the advertisement delivery party can receive the advertisement material.
And 530, performing validity check on the audience users according to the set blacklist, and taking the audience users passing the validity check as target users.
The blacklist is set by the advertisement delivery party for the audience users who are not allowed to deliver advertisements. For example, if the product recommended by the ad placed is not suitable for children, the child audience user will be added to the blacklist.
Further, it should be appreciated that the audience users who are not allowed to advertise may be massive, and that the blacklist is also allowed to add a user tag, that is, indicates that none of the user groups to which the user tag corresponds is allowed to be audience users to advertise.
Wherein the user tag is used to describe the same user characteristics that the user has in the user group. For example, a child user tab, which describes that users in a child user group have the same user characteristics as being between 0 and 12 years of age.
Thus, the validity check is performed by screening the audience users substantially according to the blacklist, and if the audience users exist in the blacklist, the audience users are regarded as not passing the validity check, otherwise, if the audience users do not exist in the blacklist, the audience users are regarded as passing the validity check. Of course, in other embodiments, a white list may be set to perform validity checking on the audience, and this embodiment is not limited to this configuration.
And 550, delivering the product to the target user according to the advertisement materials.
Through the cooperation of the embodiments, through the setting of the blacklist, the advertisement delivery party can rapidly select audience users, and the advertisement delivery party is further greatly facilitated to deliver advertisements.
The following is an embodiment of the system of the present invention, which can be used to execute the advertisement delivery method based on big data analysis related to the present invention. For details not disclosed in the system embodiment of the present invention, please refer to a method embodiment of the advertisement delivery method based on big data analysis related to the present invention.
Referring to FIG. 11, in an exemplary embodiment, an advertisement delivery system 900 includes, but is not limited to: an information acquisition module 910, a format conversion module 930, an information storage module 950, and an advertisement delivery module 970.
The information obtaining module 910 is configured to obtain product information from the server, where the product information is used to describe a product, and the product includes a local product and a third party product.
The format conversion module 930 is configured to perform format conversion on the product information according to the data format type of the product information, so as to obtain product information in a standard format.
The information storage module 950 is used for storing product information in a standard format to a product library.
The advertisement delivery module 970 is configured to provide advertisement delivery services to advertisement delivery parties through product information stored in the product library.
It should be noted that, when the advertisement delivery system provided in the foregoing embodiment performs the advertisement delivery method based on big data analysis, only the division of the foregoing functional modules is used as an example, in practical application, the foregoing functional allocation may be performed by different functional modules according to needs, that is, the internal structure of the advertisement delivery system is divided into different functional modules to complete all or part of the functions described above.
In addition, the advertisement delivery system provided in the above embodiment and the embodiment of the advertisement delivery method based on big data analysis belong to the same concept, wherein the specific manner of performing the operation by each module has been described in detail in the method embodiment, and will not be described herein.
Referring to fig. 12, in an exemplary embodiment, an electronic device 1000 includes at least one processor 1001, at least one memory 1002, and at least one communication bus 1003.
Wherein, the at least one memory 1002 has stored thereon computer readable instructions, which the at least one processor 1001 reads from the at least one memory 1002 via the at least one communication bus 1003.
The computer readable instructions, when executed by the at least one processor 1001, implement the big data analysis based advertisement delivery method of the above embodiments.
In an exemplary embodiment, a computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the big data analysis based advertisement delivery method in the above embodiments.
The foregoing is merely illustrative of the preferred embodiments of the present invention and is not intended to limit the embodiments of the present invention, and those skilled in the art can easily make corresponding variations or modifications according to the main concept and spirit of the present invention, so that the protection scope of the present invention shall be defined by the claims.
Claims (9)
1. The advertisement putting method based on big data analysis is characterized by being applied to an advertisement putting system, wherein the advertisement putting system comprises a server side and a terminal where an advertisement putting party is located, and the method comprises the following steps:
the server side obtains product information, wherein the product information is used for describing products, and the products comprise local products and third-party products;
according to the data format type of the product information, carrying out format conversion on the product information to obtain product information in a standard format;
Storing the product information in the standard format into a product library;
providing advertisement putting service for the advertisement putting party through the product information stored in the product library;
in the process of obtaining product information for describing a local product, reading product information reported by a client in a historical time period;
in the process of obtaining the product information for describing the third-party product, the terminal of the advertisement delivery party detects the operation triggered by the third-party product inlet, and if the operation is detected, the webpage link address is reported to the server, so that the server accesses the webpage through the webpage link address to obtain the product information for describing the third-party product.
2. The method of claim 1, wherein the converting the format of the product information according to the data format type of the product information to obtain the product information in the standard format comprises:
identifying a data format type of the product information, wherein the data format type comprises a standard format and an extended format;
if the data format type of the product information is an extended format, converting the product information in the extended format into the product information in the standard format;
And if the data format type of the product information is a standard format, executing the step of storing the product information in the standard format into a product library.
3. The method of claim 2, wherein the product information is represented by a web page, and the converting the product information in the extended format into the product information in the standard format comprises:
traversing the labels in the product information in the extended format;
if the tag attribute included in the traversed tag is a native attribute, converting the tag containing the native attribute into a native tag according to a native grammar;
if the label attribute included in the traversed label is a custom attribute, converting the label containing the custom attribute into an extended label with a corresponding relation according to the corresponding relation between the custom attribute and the extended label;
and adding the native tag and the extended tag to the product information in the standard format.
4. A method according to any one of claims 1 to 3, wherein said providing an advertising service to an advertising party via product information stored in said product library comprises:
receiving an advertisement putting request initiated by a terminal where the advertisement putting party is located, wherein the advertisement putting request carries a product information identifier of a product requested to be put by the advertisement putting party;
Acquiring product information corresponding to the product information identification from the product library;
configuring an advertisement template for the obtained product information, and generating advertisement materials;
and pushing the advertisement materials to the terminal where the advertisement delivery party is located.
5. The method of claim 4, wherein configuring an advertisement template for the obtained product information, generating advertisement material, comprises:
extracting an advertisement template identifier from the advertisement putting request;
searching the advertisement templates in the advertisement template library according to the advertisement template identifiers to obtain advertisement templates corresponding to the advertisement template identifiers;
and storing the acquired product information and the advertisement template in an associated mode as the advertisement materials.
6. The method of claim 4, wherein the method further comprises:
the terminal where the advertisement putting party is located receives the advertisement materials;
performing validity check on the audience users according to the set blacklist, and taking the audience users passing the validity check as target users;
and delivering products to the target users according to the advertisement materials.
7. The utility model provides an advertisement delivery system which characterized in that, advertisement delivery system includes server and advertisement delivery side place terminal, the server includes:
The information acquisition module is used for acquiring product information by the server, wherein the product information is used for describing a product, and the product comprises a local product and a third party product;
the format conversion module is used for carrying out format conversion on the product information according to the data format type of the product information to obtain product information in a standard format;
the information storage module is used for storing the product information in the standard format into a product library;
the advertisement putting module is used for providing advertisement putting service for the advertisement putting party through the product information stored in the product library;
wherein, the information acquisition module is further used for:
reading product information reported by a client in a historical time period in the process of obtaining product information for describing a local product;
in the process of obtaining the product information for describing the third-party product, the terminal of the advertisement delivery party detects the operation triggered by the third-party product inlet, and if the operation is detected, the webpage link address is reported to the server, so that the server accesses the webpage through the webpage link address to obtain the product information for describing the third-party product.
8. An electronic device, comprising:
A processor; and
A memory having stored thereon computer readable instructions which when executed by the processor implement the big data analysis based advertisement delivery method of any of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the big data analysis based advertisement delivery method according to any of claims 1 to 6.
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| CN111915348A (en) * | 2020-07-08 | 2020-11-10 | 北京点众科技股份有限公司 | Method, system and storage medium for inserting advertisement in electronic book |
| CN113011909B (en) * | 2021-01-08 | 2023-07-28 | 腾讯科技（深圳）有限公司 | Content delivery method, device, server and storage medium |
| CN113821725A (en) * | 2021-09-24 | 2021-12-21 | 杭州守连科技有限公司 | Network information science and technology popularization service system |
| CN117372095A (en) * | 2023-10-17 | 2024-01-09 | 厦门九州元气传媒有限公司 | Advertisement system, terminal and method |
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