CN109711868A - Advertisement sending method and device - Google Patents
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Abstract
The application proposes a kind of advertisement sending method and device, wherein method includes: the behavioral data for obtaining user, and obtains user to the tendency numerical value of each advertisement type according to behavioral data；When receiving advertisement display request, obtains targeted advertisements from advertising information library to the tendency numerical value of each advertisement type according to user and be sent to applications client, so that applications client is in advertisement position displaying target advertisement of spreading its tail.Thereby, it is possible to carry out corresponding advertisement pushing for different users, the accuracy and clicking rate of advertisement pushing are improved, promotes user experience.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to an advertisement push method and apparatus.
Background
At present, the open screen advertisement push mode of the application program can be that an advertiser puts the advertisement to the user in full, but the pushed advertisement does not necessarily accord with the user's will, so that the whole user experience is reduced, and a large amount of cost of the advertiser is consumed; the advertiser can also put the advertisement to the user gray level in a certain region or range, so that although certain cost can be saved, the pushed advertisement can not be guaranteed to be in line with the user intention; therefore, the temperature of the molten metal is controlled,
the above manner results in a low accuracy of advertisement push and click rate.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the application provides an advertisement pushing method and device, which are used for solving the technical problem that the accuracy and click rate of advertisement pushing are low due to the fact that advertisements meeting the user's intention cannot be pushed in the prior art.
In order to achieve the above object, an embodiment of a first aspect of the present application provides an advertisement pushing method, including:
acquiring behavior data of a user, and acquiring tendency numerical values of the user to various advertisement types according to the behavior data;
and when receiving an advertisement display request, acquiring a target advertisement from an advertisement information base according to the tendency value of the user to each advertisement type, and sending the target advertisement to an application client so that the application client displays the target advertisement at an open screen advertisement position.
According to the advertisement pushing method, the behavior data of the user are obtained, the tendency numerical values of the user to the advertisement types are obtained according to the behavior data, and the target advertisement is obtained from the advertisement information base and sent to the application client side according to the tendency numerical values of the user to the advertisement types when the advertisement display request is received, so that the application client side can display the target advertisement at the screen-opening advertisement position. Therefore, corresponding advertisement pushing can be performed for different users, the accuracy and the click rate of advertisement pushing are improved, and user experience is improved.
To achieve the above object, an embodiment of a second aspect of the present application provides an advertisement push apparatus, including:
the first acquisition module is used for acquiring behavior data of a user;
the second acquisition module is used for acquiring tendency numerical values of the user to various advertisement types according to the behavior data;
and the processing module is used for acquiring the target advertisement from the advertisement information base according to the tendency numerical value of the user to each advertisement type and sending the target advertisement to the application client when receiving the advertisement display request so that the application client can display the target advertisement at the open screen advertisement position.
According to the advertisement pushing device, the behavior data of the user are obtained, the tendency numerical values of the user to the advertisement types are obtained according to the behavior data, and the target advertisement is obtained from the advertisement information base and sent to the application client side according to the tendency numerical values of the user to the advertisement types when the advertisement display request is received, so that the application client side can display the target advertisement at the screen-opening advertisement position. Therefore, corresponding advertisement pushing can be performed for different users, the accuracy and the click rate of advertisement pushing are improved, and user experience is improved.
To achieve the above object, a third aspect of the present application provides a computer device, including: a processor and a memory; wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the advertisement push method according to the embodiment of the first aspect.
To achieve the above object, a fourth aspect of the present application provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the advertisement push method according to the first aspect.
To achieve the above object, a fifth aspect of the present application provides a computer program product, where instructions of the computer program product, when executed by a processor, implement the advertisement push method according to the first aspect.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flowchart of an advertisement delivery method according to an embodiment of the present application;
FIG. 2 is a diagram illustrating an example of an advertisement push method according to an embodiment of the present disclosure;
FIG. 3 is an exemplary diagram of advertisement delivery;
fig. 4 is a schematic structural diagram of an advertisement push device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another advertisement push device provided in an embodiment of the present application; and
fig. 6 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
An advertisement push method and apparatus according to an embodiment of the present application are described below with reference to the drawings.
Fig. 1 is a schematic flowchart of an advertisement push method according to an embodiment of the present application.
As shown in fig. 1, the advertisement push method may include the steps of:
step 101, acquiring behavior data of a user, and acquiring tendency values of the user to various advertisement types according to the behavior data.
In practical application, advertisements can be displayed in the open-screen advertisement space of the application client, the advertisement push method of the embodiment of the application can be positioned in a single user based on user behavior information of the user in interaction with an application page or in interaction with the open-screen advertisement of the application client, and the like, and the advertisement is obtained by the operation behavior, the habit and the like of the user and put in the open-screen advertisement space of the application client, so that the advertisement which is matched with the intention of the user is pushed aiming at different users.
Specifically, there are many ways to obtain the behavior data of the user, for example, as follows:
in a first example, first behavior data of a user during interaction with an application page is obtained.
Wherein the first behavior data includes: the method comprises the following steps that one or more of button clicking operation, gesture touch operation, page staying time and page jumping path of a user in an application page are carried out.
For example, a user may perform a button click operation for pausing, fast forwarding, or the like on a video in a video application, or a slide touch operation for browsing a page by the user, or the like.
The second example is that second behavior data of the user in the process of screen-opening advertisement interaction with the application client side is obtained.
Wherein the second behavior data comprises: and one or more of clicking operation and skipping operation of the open screen advertisement of the application client side by the user.
It can be understood that when an open screen advertisement for a certain application client is pushed, behavior data of a user to the application client can be acquired, and the behavior data of the user to the application client and other application clients can also be acquired.
After acquiring the behavior data of the user, tendency values of the user to each advertisement type may be acquired according to the behavior data, and as an example, different weights are given to each data in the behavior data, and different tendency values are given to each advertisement type according to the weights corresponding to each data.
The advertisement types can be classified according to actual application requirements, such as entertainment promotion types, small and large commodity sale types, activity promotion types and the like, then small type differentiation is performed on the basis of the large types, for example, the entertainment promotion types can comprise game types, news types, video types and the like, small and large commodities mainly face e-commerce brand manufacturers and the like, according to the rules, the accessed advertisements can be classified in a labeling mode through the form of interfaces, different labels are marked for each type of advertisements, and different types of channels are accessed.
Specifically, according to the behavior data of the user, the user preference may be calculated, for example, the user preference categories may be distinguished in the form of trend values, that is, a single behavior only affects the scores of the current user on various contents in a small scale, and different score changes may also occur in behaviors at different positions, different times and different paths, for example, when an application client actively clicks an advertisement in an open screen advertisement space, a behavior in subjective consciousness of the user may be a behavior in the user, the variation range of the user trend values of the advertisement may be relatively large, the stay duration may be refined score division according to a specific time length, whether there is a gesture trigger or not, and other specific rules in the behaviors, and through calculation and analysis, a trend value may be finally added to each advertisement type.
Therefore, in the process that the user continuously uses the application client, the pushed advertisements gradually become more accurate and fit with the taste of the user along with the continuous updating of the behavior data.
It should be noted that, in order to improve the response speed of the advertisement resource, for example, the user may quit the application client as a trigger, the uploaded behavior data may be extracted for calculation and analysis, and the final calculation result may be stored after the calculation is completed, so that the advertisement that best meets the current intention of the user may be obtained through the quick response of the request when the user logs in and opens the application client next time.
And 102, when receiving an advertisement display request, acquiring a target advertisement from an advertisement information base according to the tendency value of the user to each advertisement type, and sending the target advertisement to an application client so that the application client can display the target advertisement at an open screen advertisement position.
It will be appreciated that there are a variety of advertising information streams and in order to be able to quickly obtain targeted advertisements, it is necessary to pre-establish an advertising information base. As a possible implementation mode, a plurality of advertisement information streams are obtained, the content of the advertisement information streams is analyzed, and the advertisement information base is generated by classifying the advertisement information streams according to the analysis result. That is, different advertisement information streams are integrated and classified and stored in the advertisement information base.
When an application client-side on-screen advertisement position request interface is received, target advertisements are obtained from an advertisement information base according to tendency values of users to various advertisement types, namely a group of advertisement information streams with the highest tendency values are selected, and the advertisement information streams are returned to the application client-side to be displayed on-screen advertisement positions after structured processing.
It should be noted that, in addition, after the advertisement is pushed, real-time adjustment training is carried out based on the click rate, the attention degree, the skipping rate and the like of the current open-screen advertisement, the calculation direction is optimized, the user will be gradually approached, the user experience is improved, the advertisement position putting cost is reduced, and the advertisement efficiency is improved.
It should be noted that, if the target advertisement is not obtained from the advertisement information base, the target picture is obtained from the local cache and sent to the application client, so that the application client displays the target picture in the open screen advertisement space. That is, if the user encounters a no-network or weak-network state, the picture in the local cache of the device can be read as a display, so as to improve the user experience.
For example, as shown in fig. 2, corresponding user behavior data may be obtained through user operations on a plurality of pages of one or more application clients, and stored in a corresponding database or a corresponding memory, through analysis of the user behavior data, corresponding trend values are marked on each advertisement type, such as game class 60, news class 50, and e-commerce class 56 in fig. 2, and in addition, structured advertisement information streams are obtained by performing structural processing on marketing contents such as different advertisements, campaigns, and promotions, and a target advertisement is obtained from the structured advertisement information streams according to the trend values, and displayed at an open-screen advertisement space of the application client as shown in fig. 3.
In addition, the model can be gradually accurate and fit with the taste of the user along with the continuous updating of the behavior data in the process that the user continuously uses the application client.
It should be noted that, one or more open-screen advertisement slots of one application client may be provided, and when there are multiple open-screen advertisement slots, one advertisement type may be displayed at multiple open-screen advertisement slots at the same time, for example, the advertisement type corresponding to the highest trend value, or multiple advertisement types may be displayed at multiple open-screen advertisement slots at the same time, for example, the advertisement types corresponding to the first few trend values respectively correspond to different open-screen advertisement slots for display, and of course, in order to further improve the pushing accuracy, the position of the corresponding target advertisement may be adapted to the factors such as the sizes of different open-screen advertisement slots.
Therefore, the advertisement is pushed to a single user in a fine granularity, an advertiser does not need to bear the advertisement space of the application client of the user in the whole network, the cost is saved, and enterprises can dispersedly sell the advertisement space with the screen being opened, so that the income is increased; the user can also be timely obtain the popularization information close to the desire, and the user experience is improved.
According to the advertisement pushing method, the behavior data of the user is obtained, the tendency value of the user to each advertisement type is obtained according to the behavior data, and the target advertisement is obtained from the advertisement information base and sent to the application client side according to the tendency value of the user to each advertisement type when the advertisement display request is received, so that the application client side can display the target advertisement at the open screen advertisement space. Therefore, corresponding advertisement pushing can be performed for different users, the accuracy and the click rate of advertisement pushing are improved, and user experience is improved.
In order to implement the above embodiments, the present application further provides an advertisement delivery device.
Fig. 4 is a schematic structural diagram of an advertisement push device according to an embodiment of the present application.
As shown in fig. 4, the advertisement push device 40 may include: a first acquisition module 410, a second acquisition module 420, and a processing module 430. Wherein,
the first obtaining module 410 is configured to obtain behavior data of a user.
And a second obtaining module 420, configured to obtain trend values of the user for each advertisement type according to the behavior data.
And the processing module 430 is configured to, when receiving the advertisement display request, obtain the target advertisement from the advertisement information base according to the trend value of the user for each advertisement type, and send the target advertisement to the application client, so that the application client displays the target advertisement at the open screen advertisement space.
In a possible implementation manner of the embodiment of the present application, the first obtaining module 410 is specifically configured to: the method comprises the steps of obtaining first behavior data of a user in an interactive process with an application page, and/or obtaining second behavior data of the user in an interactive process with an open screen advertisement of an application client.
In one possible implementation manner of the embodiment of the present application, the first behavior data includes: the method comprises the following steps that one or more of button clicking operation, gesture touch operation, page staying time and page jumping paths of a user in an application page are performed; the second behavior data includes: and one or more of clicking operation and skipping operation of the open screen advertisement of the application client side by the user.
In a possible implementation manner of the embodiment of the present application, the second obtaining module 420 is specifically configured to: different weights are given to each data in the behavior data, and different tendency numerical values are given to each advertisement type according to the weight corresponding to each data.
In a possible implementation manner of the embodiment of the present application, as shown in fig. 5, on the basis of the embodiment shown in fig. 4, the advertisement push device 50 further includes: a third acquisition module 440 and a generation module 450.
A third obtaining module 440, configured to obtain multiple advertisement information streams;
the generating module 450 is configured to perform content analysis on the multiple advertisement information streams, and classify the multiple advertisement information streams according to an analysis result to generate an advertisement information base.
In an embodiment of the present application, the processor 430 is further configured to, if the target advertisement is not obtained in the advertisement information base, obtain the target picture from the local cache and send the target picture to the application client, so that the application client displays the target picture at the open screen advertisement space.
It should be noted that the foregoing explanation on the embodiment of the advertisement pushing method is also applicable to the advertisement pushing apparatus of the embodiment, and the implementation principle thereof is similar and will not be described herein again.
According to the advertisement pushing device, the behavior data of the user are obtained, the tendency numerical values of the user to the advertisement types are obtained according to the behavior data, and the target advertisement is obtained from the advertisement information base and sent to the application client side according to the tendency numerical values of the user to the advertisement types when the advertisement display request is received, so that the application client side can display the target advertisement at the screen-opening advertisement position. Therefore, corresponding advertisement pushing can be performed for different users, the accuracy and the click rate of advertisement pushing are improved, and user experience is improved.
By in order to implement the above embodiments, the present application also provides a computer device, including: a processor and a memory. Wherein the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, for implementing the advertisement push method as described in the foregoing embodiments.
FIG. 6 is a block diagram of a computer device provided in an embodiment of the present application, illustrating an exemplary computer device 90 suitable for use in implementing embodiments of the present application. The computer device 90 shown in fig. 6 is only an example, and should not bring any limitation to the function and the scope of use of the embodiments of the present application.
As shown in fig. 6, the computer device 90 is in the form of a general purpose computer device. The components of computer device 90 may include, but are not limited to: one or more processors or processing units 906, a system memory 910, and a bus 908 that couples the various system components (including the system memory 910 and the processing unit 906).
Bus 908 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. These architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus, to name a few.
Computer device 90 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 90 and includes both volatile and nonvolatile media, removable and non-removable media.
The system Memory 910 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) 911 and/or cache Memory 912. The computer device 90 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 913 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 6, and commonly referred to as a "hard disk drive"). Although not shown in FIG. 6, a disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk Read Only Memory (CD-ROM), a Digital versatile disk Read Only Memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 908 by one or more data media interfaces. System memory 910 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the application.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server.
Program/utility 914 having a set (at least one) of program modules 9140 may be stored, for example, in system memory 910, such program modules 9140 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination of these examples may comprise an implementation of a network environment. Program modules 9140 generally perform the functions and/or methods of embodiments described herein.
The computer device 90 may also communicate with one or more external devices 10 (e.g., keyboard, pointing device, display 100, etc.), with one or more devices that enable a user to interact with the terminal device 90, and/or with any devices (e.g., network card, modem, etc.) that enable the computer device 90 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 902. Moreover, computer device 90 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public Network such as the Internet) via Network adapter 900. As shown in FIG. 6, network adapter 900 communicates with the other modules of computer device 90 via bus 908. It should be appreciated that although not shown in FIG. 6, other hardware and/or software modules may be used in conjunction with computer device 90, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 906 executes various functional applications and data processing by executing programs stored in the system memory 910, for example, implementing the advertisement push method mentioned in the foregoing embodiments.
In order to implement the foregoing embodiments, the present application also proposes a non-transitory computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the advertisement push method as described in the foregoing embodiments.
In order to implement the foregoing embodiments, the present application also proposes a computer program product, wherein when the instructions in the computer program product are executed by a processor, the advertisement push method according to the foregoing embodiments is implemented.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. An advertisement pushing method is characterized by comprising the following steps:
acquiring behavior data of a user, and acquiring tendency numerical values of the user to various advertisement types according to the behavior data;
and when receiving an advertisement display request, acquiring a target advertisement from an advertisement information base according to the tendency value of the user to each advertisement type, and sending the target advertisement to an application client so that the application client displays the target advertisement at an open screen advertisement position.
2. The method of claim 1, wherein the obtaining behavioral data of the user comprises:
acquiring first behavior data of the user in the process of interacting with the application page, and/or,
and acquiring second behavior data of the user in the screen-opening advertisement interaction process with the application client.
3. The method of claim 2,
the first behavior data includes: the user performs one or more of button clicking operation, gesture touch operation, page staying time and page jumping path in the application page;
the second behavior data includes: and the user performs one or more of clicking operation and skipping operation on the open screen advertisement of the application client.
4. The method of claim 1, wherein said obtaining a value of said user's propensity for each advertisement type based on said behavior data comprises:
giving different weights to each data in the behavior data;
and giving different tendency numerical values to the advertisement types according to the weights corresponding to the data.
5. The method of claim 1, before the obtaining the target advertisement from the advertisement information base according to the user tendency value of each advertisement type and sending the target advertisement to the application client, further comprising:
acquiring various advertisement information streams;
and analyzing the content of the various advertisement information streams, and classifying the various advertisement information streams according to the analysis result to generate the advertisement information base.
6. The method of claim 1, further comprising:
and if the target advertisement can not be acquired in the advertisement information base, acquiring a target picture from a local cache and sending the target picture to the application client so that the application client displays the target picture at the open screen advertisement position.
7. An advertisement push apparatus, comprising:
the first acquisition module is used for acquiring behavior data of a user;
the second acquisition module is used for acquiring tendency numerical values of the user to various advertisement types according to the behavior data;
and the processing module is used for acquiring the target advertisement from the advertisement information base according to the tendency numerical value of the user to each advertisement type and sending the target advertisement to the application client when receiving the advertisement display request so that the application client can display the target advertisement at the open screen advertisement position.
8. The apparatus of claim 7, wherein the first obtaining module is specifically configured to:
acquiring first behavior data of the user in the process of interacting with the application page, and/or,
and acquiring second behavior data of the user in the screen-opening advertisement interaction process with the application client.
9. A computer device comprising a processor and a memory;
wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory for implementing the advertisement push method according to any one of claims 1 to 6.
10. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the program, when executed by a processor, implements the advertisement push method according to any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811494883.0A CN109711868A (en) | 2018-12-07 | 2018-12-07 | Advertisement sending method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811494883.0A CN109711868A (en) | 2018-12-07 | 2018-12-07 | Advertisement sending method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109711868A true CN109711868A (en) | 2019-05-03 |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110348894A (en) * | 2019-06-29 | 2019-10-18 | 上海淇馥信息技术有限公司 | The method, apparatus and electronic equipment of resource-niche advertising display |
| CN110533448A (en) * | 2019-06-18 | 2019-12-03 | 平安科技（深圳）有限公司 | Data push method, system and computer equipment based on micro- expression |
| CN110969479A (en) * | 2019-11-07 | 2020-04-07 | 连尚（新昌）网络科技有限公司 | Method, equipment and computer storage medium for displaying promoted resources |
| CN111144952A (en) * | 2019-12-31 | 2020-05-12 | 随手(北京)信息技术有限公司 | Advertisement recommendation method, device, server and storage medium based on user interests |
| CN111142967A (en) * | 2019-12-26 | 2020-05-12 | 腾讯科技（深圳）有限公司 | Augmented reality display method and device, electronic equipment and storage medium |
| CN111160973A (en) * | 2019-12-30 | 2020-05-15 | 北京三快在线科技有限公司 | Advertisement pushing method and device |
| CN111200639A (en) * | 2019-12-20 | 2020-05-26 | 上海淇玥信息技术有限公司 | Information pushing method and device based on user operation behavior and electronic equipment |
| CN111353823A (en) * | 2020-03-05 | 2020-06-30 | 湖南快乐阳光互动娱乐传媒有限公司 | Information flow advertisement request method and device |
| CN111752639A (en) * | 2020-06-28 | 2020-10-09 | 中国银行股份有限公司 | Open screen content recommendation method and device |
| CN111770367A (en) * | 2020-06-30 | 2020-10-13 | 百度在线网络技术（北京）有限公司 | Resource playing and resource allocation method and device, electronic equipment and storage medium |
| CN111768250A (en) * | 2020-07-31 | 2020-10-13 | 京东数字科技控股股份有限公司 | Method, device, computer readable medium and electronic equipment |
| CN111813986A (en) * | 2020-07-10 | 2020-10-23 | 重庆中科云从科技有限公司 | Intelligent advertisement pushing method, device, system, medium and electronic terminal |
| CN112073525A (en) * | 2020-09-11 | 2020-12-11 | 广州宸祺出行科技有限公司 | Advertisement pushing method and device and electronic equipment |
| CN112418942A (en) * | 2020-11-26 | 2021-02-26 | 维沃移动通信有限公司 | Advertisement display method and device and electronic equipment |
| CN112561553A (en) * | 2019-09-26 | 2021-03-26 | 北京字节跳动网络技术有限公司 | Content distribution method, server and storage medium |
| CN112929709A (en) * | 2021-01-26 | 2021-06-08 | 广州欢网科技有限责任公司 | Television-side advertisement linkage playing method and system and television |
| CN113490021A (en) * | 2021-07-21 | 2021-10-08 | 青岛海信传媒网络技术有限公司 | User interface display method and display equipment |
| CN114037475A (en) * | 2021-11-10 | 2022-02-11 | 珠海格力电器股份有限公司 | Advertisement pushing method and device, electronic equipment and storage medium |
| CN114064985A (en) * | 2021-01-19 | 2022-02-18 | 广州骏伯网络科技有限公司 | Advertisement putting method, device, computer equipment, storage medium and system |
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| CN106447371A (en) * | 2015-08-10 | 2017-02-22 | 北京奇虎科技有限公司 | Webpage advertisement recommendation method and device |
| CN106548373A (en) * | 2016-11-03 | 2017-03-29 | 深圳市品索科技有限公司 | A kind of method and system of multimedia advertising value-added service |
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| CN110533448A (en) * | 2019-06-18 | 2019-12-03 | 平安科技（深圳）有限公司 | Data push method, system and computer equipment based on micro- expression |
| CN110348894A (en) * | 2019-06-29 | 2019-10-18 | 上海淇馥信息技术有限公司 | The method, apparatus and electronic equipment of resource-niche advertising display |
| CN110348894B (en) * | 2019-06-29 | 2023-09-26 | 上海淇馥信息技术有限公司 | Method and device for displaying resource advertisement and electronic equipment |
| CN112561553A (en) * | 2019-09-26 | 2021-03-26 | 北京字节跳动网络技术有限公司 | Content distribution method, server and storage medium |
| CN112561553B (en) * | 2019-09-26 | 2024-09-17 | 北京字节跳动网络技术有限公司 | Content delivery method, server and storage medium |
| CN110969479A (en) * | 2019-11-07 | 2020-04-07 | 连尚（新昌）网络科技有限公司 | Method, equipment and computer storage medium for displaying promoted resources |
| CN111200639A (en) * | 2019-12-20 | 2020-05-26 | 上海淇玥信息技术有限公司 | Information pushing method and device based on user operation behavior and electronic equipment |
| CN111200639B (en) * | 2019-12-20 | 2023-04-07 | 上海淇玥信息技术有限公司 | Information pushing method and device based on user operation behavior and electronic equipment |
| CN111142967B (en) * | 2019-12-26 | 2021-07-27 | 腾讯科技（深圳）有限公司 | Augmented reality display method and device, electronic equipment and storage medium |
| CN111142967A (en) * | 2019-12-26 | 2020-05-12 | 腾讯科技（深圳）有限公司 | Augmented reality display method and device, electronic equipment and storage medium |
| CN111160973A (en) * | 2019-12-30 | 2020-05-15 | 北京三快在线科技有限公司 | Advertisement pushing method and device |
| CN111144952A (en) * | 2019-12-31 | 2020-05-12 | 随手(北京)信息技术有限公司 | Advertisement recommendation method, device, server and storage medium based on user interests |
| CN111353823A (en) * | 2020-03-05 | 2020-06-30 | 湖南快乐阳光互动娱乐传媒有限公司 | Information flow advertisement request method and device |
| CN111353823B (en) * | 2020-03-05 | 2023-04-18 | 湖南快乐阳光互动娱乐传媒有限公司 | Information flow advertisement request method and device |
| CN111752639B (en) * | 2020-06-28 | 2024-01-30 | 中国银行股份有限公司 | Open screen content recommendation method and device |
| CN111752639A (en) * | 2020-06-28 | 2020-10-09 | 中国银行股份有限公司 | Open screen content recommendation method and device |
| CN111770367A (en) * | 2020-06-30 | 2020-10-13 | 百度在线网络技术（北京）有限公司 | Resource playing and resource allocation method and device, electronic equipment and storage medium |
| CN111813986A (en) * | 2020-07-10 | 2020-10-23 | 重庆中科云从科技有限公司 | Intelligent advertisement pushing method, device, system, medium and electronic terminal |
| CN111813986B (en) * | 2020-07-10 | 2023-12-22 | 重庆中科云从科技有限公司 | Intelligent advertisement pushing method, device, system, medium and electronic terminal |
| CN111768250A (en) * | 2020-07-31 | 2020-10-13 | 京东数字科技控股股份有限公司 | Method, device, computer readable medium and electronic equipment |
| CN112073525A (en) * | 2020-09-11 | 2020-12-11 | 广州宸祺出行科技有限公司 | Advertisement pushing method and device and electronic equipment |
| CN112073525B (en) * | 2020-09-11 | 2023-01-24 | 广州宸祺出行科技有限公司 | Advertisement pushing method and device and electronic equipment |
| CN112418942A (en) * | 2020-11-26 | 2021-02-26 | 维沃移动通信有限公司 | Advertisement display method and device and electronic equipment |
| CN114064985A (en) * | 2021-01-19 | 2022-02-18 | 广州骏伯网络科技有限公司 | Advertisement putting method, device, computer equipment, storage medium and system |
| CN112929709A (en) * | 2021-01-26 | 2021-06-08 | 广州欢网科技有限责任公司 | Television-side advertisement linkage playing method and system and television |
| CN113490021A (en) * | 2021-07-21 | 2021-10-08 | 青岛海信传媒网络技术有限公司 | User interface display method and display equipment |
| CN114037475A (en) * | 2021-11-10 | 2022-02-11 | 珠海格力电器股份有限公司 | Advertisement pushing method and device, electronic equipment and storage medium |
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