CN111601165A - Advertisement recommendation method, device and controller based on time interval program audience group - Google Patents
Advertisement recommendation method, device and controller based on time interval program audience group Download PDFInfo
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- CN111601165A CN111601165A CN202010434170.6A CN202010434170A CN111601165A CN 111601165 A CN111601165 A CN 111601165A CN 202010434170 A CN202010434170 A CN 202010434170A CN 111601165 A CN111601165 A CN 111601165A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44204—Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/81—Monomedia components thereof
- H04N21/812—Monomedia components thereof involving advertisement data
Abstract
The invention relates to an advertisement recommendation method, device and controller based on time interval program audience groups, which comprises the steps of obtaining data to be associated; acquiring a related equipment identifier according to the data to be related, and acquiring user watching behavior data according to the equipment identifier; acquiring a time period-scale list through the user watching behavior data; recommending advertisement information matched with the time interval-scale list to the intelligent terminal according to a preset advertisement constraint condition and the time interval-scale list; the advertisement constraint conditions comprise target program types of advertisement delivery and/or preferred crowd sizes to be reached by the advertisements and/or preferred crowds to be reached by the advertisements; the invention can maximize the effect of advertising by advertisers under the specified conditions, save the extra cost and expense caused by the broadcast network type delivery to non-target groups as much as possible by the advertisement delivery party, maximize the income, reduce the bad user experience of the non-target groups and provide detailed and professional advertisement delivery services for customers.
Description
Technical Field
The invention belongs to the technical field of television internet, and particularly relates to an advertisement recommendation method, device and controller based on time slot program audience groups.
Background
The smart television is an open interactive platform, network resources can be integrated, more functions and services specially designed for watching television programs are provided for users, and the appearance of the smart television greatly improves large-screen watching experience.
In the related technology, the smart television receives programs of a cable television station provided by a set top box or a cable signal source, but an advertiser does not have targeted advertisement delivery, and cannot deliver advertisement information to audience groups, so that the relevance of delivered advertisements and the audience groups is small, the ideal audience group scale cannot be reached, the advertisement effect delivered by the advertiser is not obvious, the program experience of non-target groups is reduced, at present, advertisement delivery windows are completely defined manually, the window effect is not clear, and the advertisement effect cannot be expected.
Disclosure of Invention
In view of the above, the present invention provides an advertisement recommendation method, apparatus and controller based on a time slot program audience group to solve the problem in the prior art that advertisement information cannot be recommended for the audience group.
In order to achieve the purpose, the invention adopts the following technical scheme: an advertisement recommendation method based on a time slot program audience group comprises the following steps:
acquiring data to be associated, wherein the data to be associated comprises program type data, preference crowd relation data corresponding to the program type and intelligent terminal watching behavior data;
acquiring a related equipment identifier according to the data to be related, and acquiring user watching behavior data according to the equipment identifier;
acquiring a time period-scale list through the user watching behavior data, wherein the time period-scale list comprises preference groups, scales of the preference groups and program types;
recommending advertisement information matched with the time slot-scale list to the intelligent terminal according to a preset advertisement constraint condition and the time slot-scale list; the advertising constraints include a target program type for advertising and/or a preferred population size to be reached by the advertisement and/or a preferred population to be reached by the advertisement.
Further, the program type data includes: drama, movie, art, animation, sports;
the preference crowd relation data corresponding to the program type comprises: the user age range corresponding to the program type and the user identity corresponding to the program type;
the intelligent terminal watching behavior data comprises: a viewing time period, and a program type corresponding to the viewing time period.
Further, the obtaining of the associated device identifier according to the data to be associated and the obtaining of the user viewing behavior data according to the device identifier include:
associating the program type data, the preference crowd relation data corresponding to the program type and the intelligent terminal watching behavior data to obtain an equipment identifier;
and acquiring the preference crowd corresponding to the program type and the watching time periods of the preference crowd corresponding to different program types according to the equipment identification.
Further, the obtaining of the slot-scale list by the user viewing behavior data includes:
acquiring time period-scale distribution of preference groups corresponding to the program types according to the preference groups corresponding to the program types and the watching time periods of the preference groups corresponding to different program types;
grouping by program type and preference crowd;
and sequencing the period-scale distribution according to the scale of the preference crowd to obtain a period-scale list.
Further, the recommending, to the intelligent terminal, the advertisement information matched with the slot-scale list includes:
and forming a floating layer window on the page played by the intelligent terminal, and displaying the recommended advertisement information in the floating layer window.
Further, the device identification includes:
a mobile phone number, IMSI, or IMEI.
Further, the method also comprises the following steps:
and responding to the operation of checking the detailed information of the recommended advertisement information triggered by the user, triggering and forming a floating layer window on the playing page of the intelligent terminal, and displaying the detailed information in the floating layer window.
Further, the intelligent terminal comprises one or a combination of the following terminals:
smart phones, smart televisions, computers, tablet computers.
The embodiment of the application provides an advertisement recommendation device based on time slot program audience groups, which comprises:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring data to be associated, and the data to be associated comprises program type data, preference crowd relation data corresponding to the program type and intelligent terminal watching behavior data;
the second acquisition module is used for acquiring a related equipment identifier according to the data to be related and acquiring user watching behavior data according to the equipment identifier;
a third obtaining module, configured to obtain a time slot-scale list from the user viewing behavior data, where the time slot-scale list includes a preferred group, scales of the preferred group, and a program type;
and the recommending module is used for recommending the advertisement information matched with the time interval-scale list to the intelligent terminal according to a preset advertisement constraint condition and the time interval-scale list.
Embodiments of the present application provide a controller, configured to execute the advertisement recommendation method based on a time slot program audience group according to any one of the above embodiments.
By adopting the technical scheme, the crowd attributes are locked according to the watching preference of the program audience groups and the types of programs, and the time period with the most target audiences for advertisement delivery of the specified types, namely the optimal advertisement delivery time window, is obtained. The advertising method and the advertising system have the advantages that the advertising effect of an advertiser under the specified condition is maximized, the advertising delivery party can save the extra cost expense caused by the network-spreading type delivery to the non-target group as much as possible, the income is maximized, the bad user experience of the non-target group can be reduced, and the detailed and professional advertising business is provided for the client.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram illustrating steps of a method for recommending advertisements based on audience segments of programs in a time slot;
fig. 2 is a schematic structural diagram of an advertisement recommendation apparatus based on a time slot program audience group according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
A specific advertisement recommendation method, apparatus and controller based on a time slot program audience group provided in the embodiments of the present application are described below with reference to the accompanying drawings.
As shown in fig. 1, the present application provides an advertisement recommendation method based on a time slot program audience group, which includes:
s101, acquiring data to be associated, wherein the data to be associated comprises program type data, preference crowd relation data corresponding to the program type and intelligent terminal watching behavior data;
wherein the program genre data comprises: drama, movie, art, animation, sports, and the like; it should be noted that the program type data may also include other program type data, which is not limited herein;
the preference crowd relation data corresponding to the program type comprises: the user age range corresponding to the program type and the user identity corresponding to the program type; specifically, the user age group may be divided into children, teenagers, and the like, and the user identity corresponding to the program type may be a family identity, for example: wife, husband, milk, grandpa etc. user identity can also be social identity, for example: peasant, teacher, nurse, doctor, engineer etc. can carry out corresponding injecing according to actual need, and this application is no longer repeated.
The intelligent terminal watching behavior data comprises: a viewing time period, a program type corresponding to the viewing time period.
S102, acquiring a related equipment identifier according to the data to be related, and acquiring user watching behavior data according to the equipment identifier;
and integrating the program type data, the preference crowd relation data corresponding to the program type and the intelligent terminal watching behavior data to obtain the equipment identifications associated with the data. Because the device identifier is unique, the user watching behavior data is obtained through the unique device identifier, and the user watching behavior data is the preferred audience who watches a certain program type in a time slot, namely the preferred crowd who watches a certain program type in a certain time slot is found.
S103, acquiring a time period-scale list through the user watching behavior data, wherein the time period-scale list comprises preference groups, scales of the preference groups and program types;
and sequencing the acquired preference groups of all time slot watching program types according to the program types, the scales of the preference groups or the identities of the preference groups to obtain a time slot-scale list.
S104, recommending advertisement information matched with the time interval-scale list to the intelligent terminal according to a preset advertisement constraint condition and the time interval-scale list; the advertising constraints include the targeted program type of the ad placement and/or the preferred population size to be reached by the ad and/or the preferred population to be reached by the ad.
The advertisement constraint condition is a condition given by an advertiser, the application can manually give an advertisement delivery requirement, and the advertisement delivery requirement can be a target program type of advertisement delivery, such as: if an advertiser wants to select an entertainment program or a television program, the advertiser recommends the time slot with the largest audience to carry out advertisement putting when the entertainment program or the television program is played; if the advertiser wants to select the reached preference crowd size, recommending the comprehensive program type for advertisement delivery in the time slot with the maximum preference crowd size; if the advertiser wants to select the target preference crowd, the time period with the maximum scale of the target preference crowd is recommended and advertisement putting is carried out by integrating the corresponding program types. For example, if an advertiser selects an entertainment program, the advertiser selects a time slot with the largest target population size to recommend advertisements when watching the entertainment program under the main condition of the entertainment program. If the advertiser selects the old people as the audience crowd, the maximum size of the old people is the main condition, and the corresponding program type and the corresponding time slot are selected to recommend the advertisement.
In some embodiments, obtaining a device identifier associated with the data to be associated, and obtaining the user viewing behavior data according to the device identifier include:
associating the program type data, the preference crowd relation data corresponding to the program type and the intelligent terminal watching behavior data to obtain an equipment identifier;
and acquiring the preference crowd corresponding to the program type and the watching time periods of the preference crowd corresponding to different program types according to the equipment identification.
Specifically, the device identification is obtained through the associated data, and the preference crowd corresponding to the program type and the watching time period of the preference crowd corresponding to different program types are obtained through the unique device identification.
In some embodiments, obtaining the slot-scale list from the user viewing behavior data comprises:
acquiring time period-scale distribution of preference groups corresponding to the program types according to the preference groups corresponding to the program types and the watching time periods of the preference groups corresponding to different program types;
grouping by program type and preference crowd;
and sequencing the period-scale distribution according to the scale of the preference crowd to obtain a period-scale list.
Specifically, the program types and the preference groups are grouped, and when a certain program type exists, the program types and the preference groups are sorted according to the scale of the preference groups and are arranged in a sequence of more than or less than the scale of the preference groups, and the distribution of time periods is obtained at the same time; when a specific preference crowd exists, the preference crowd is ranked according to the scale of the preference crowd, the program types are not fixed according to the sequence of more than or less, and the distribution of time periods is obtained at the same time. The arranged period-scale distribution is a period-scale list.
Preferably, the recommending the advertisement information matched with the slot-scale list to the intelligent terminal includes:
and forming a floating layer window on the page played by the intelligent terminal, and displaying the recommended advertisement information in the floating layer window.
Specifically, after the advertiser specifies the constraint condition, the advertisement information associated with the recipient masses can be actively recommended to the intelligent terminal according to the time slot-scale list, and the advertisement information is presented to the user.
Preferably, the device identification includes:
a mobile phone number, IMSI, or IMEI.
Because the service identification number of the intelligent terminal is unique, the system can identify the information data viewed by the intelligent terminal.
In some embodiments, the advertisement recommendation method based on a time slot program audience group provided by the present application further includes:
and responding to the operation of checking the detailed information of the recommended advertisement information triggered by the user, triggering and forming a floating layer window on the playing page of the intelligent terminal, and displaying the detailed information in the floating layer window.
The recommended advertisement information is displayed through the floating layer window, so that the user can not be influenced to watch the television program normally, the floating layer window can be flexibly moved by the user, the transparency of the floating layer window is set, the operation flexibility of the user is improved, and the user experience degree is improved.
In some embodiments, the intelligent terminal comprises one or a combination of the following terminals:
smart phones, smart televisions, computers, tablet computers.
It should be noted that the intelligent terminal in the present application may further include other electronic devices, and the present application is not limited herein.
According to the advertisement recommendation method based on the time slot program audience group, the crowd attributes are locked according to the watching preference of the program audience group and the types of programs, and the time slot with the most target audiences for advertisement delivery of the specified type, namely the optimal advertisement delivery time window, is obtained. The advertising method and the advertising system have the advantages that the advertising effect of an advertiser under the specified condition is maximized, the advertising delivery party can save the extra cost expense caused by the network-spreading type delivery to the non-target group as much as possible, the income is maximized, the bad user experience of the non-target group can be reduced, and the detailed and professional advertising business is provided for the client.
In order to implement the advertisement recommendation method based on the time slot program audience group in a matching manner, as shown in fig. 2, an embodiment of the present application provides an advertisement recommendation device based on the time slot program audience group, including:
the first obtaining module 201 is configured to obtain data to be associated, where the data to be associated includes program type data, preference crowd relation data corresponding to the program type, and intelligent terminal viewing behavior data;
a second obtaining module 202, configured to obtain an associated device identifier according to the data to be associated, and obtain user viewing behavior data according to the device identifier;
the third obtaining module 203 obtains a time slot-scale list through the user watching behavior data, wherein the time slot-scale list comprises the preference crowd, the scale of the preference crowd and the program type;
and the recommending module 204 is configured to recommend the advertisement information matched with the time slot-scale list to the intelligent terminal according to a preset advertisement constraint condition and the time slot-scale list.
The advertisement recommendation device based on the time-slot program audience groups has the working principle that the first acquisition module 201 acquires data to be associated, wherein the data to be associated comprises program type data, preference crowd relation data corresponding to the program types and watching behavior data of an intelligent terminal; the second obtaining module 202 obtains the associated device identifier according to the data to be associated, and obtains the user watching behavior data according to the device identifier; the third obtaining module 203 obtains a time slot-scale list through the user watching behavior data, wherein the time slot-scale list comprises the preference crowd, the scale of the preference crowd and the program type; the recommending module 204 recommends advertisement information matched with the slot-scale list to the intelligent terminal according to the preset advertisement constraint condition and the slot-scale list.
Further, the present embodiment also provides a controller (not shown in the figure) for executing the advertisement recommendation method based on the audience segment of the time slot program according to any of the above embodiments.
In summary, the invention provides an advertisement recommendation method, device and controller based on time slot program audience groups, by acquiring data to be associated, the data to be associated includes program type data, preference crowd relation data corresponding to the program type and watching behavior data of an intelligent terminal; acquiring a related equipment identifier according to the data to be related, and acquiring user watching behavior data according to the equipment identifier; acquiring a time period-scale list through the user watching behavior data, wherein the time period-scale list comprises preference crowds, scales of the preference crowds and program types; recommending advertisement information matched with the time interval-scale list to the intelligent terminal according to a preset advertisement constraint condition and the time interval-scale list; the advertisement constraint conditions comprise target program types of advertisement delivery and/or preferred crowd sizes to be reached by the advertisements and/or preferred crowds to be reached by the advertisements; the beneficial effects that can reach include: according to the watching preference of the program audience group and the type of the program, the crowd attribute is locked, and the time period with the most target audience for advertisement delivery of the specified type, namely the optimal advertisement delivery time window, is obtained. The advertising method and the advertising system have the advantages that the advertising effect of an advertiser under the specified condition is maximized, the advertising delivery party can save the extra cost expense caused by the network-spreading type delivery to the non-target group as much as possible, the income is maximized, the bad user experience of the non-target group can be reduced, and the detailed and professional advertising business is provided for the client.
It can be understood that the above-mentioned embodiments of the method correspond to the above-mentioned embodiments of the advertisement recommendation device based on the audience segments of the time slots, and the corresponding specific contents may be referred to each other, which is not described herein again.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a method for advertisement recommendation based on a segment audience group for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement a method for advertisement recommendation based on a segment audience population, the method for advertisement recommendation based on a segment audience population implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. An advertisement recommendation method based on a time slot program audience group is characterized by comprising the following steps:
acquiring data to be associated, wherein the data to be associated comprises program type data, preference crowd relation data corresponding to the program type and intelligent terminal watching behavior data;
acquiring a related equipment identifier according to the data to be related, and acquiring user watching behavior data according to the equipment identifier;
acquiring a time period-scale list through the user watching behavior data, wherein the time period-scale list comprises preference groups, scales of the preference groups and program types;
recommending advertisement information matched with the time slot-scale list to the intelligent terminal according to a preset advertisement constraint condition and the time slot-scale list; the advertising constraints include a target program type for advertising and/or a preferred population size to be reached by the advertisement and/or a preferred population to be reached by the advertisement.
2. The recommendation method according to claim 1,
the program type data includes: drama, movie, art, animation, sports;
the preference crowd relation data corresponding to the program type comprises: the user age range corresponding to the program type and the user identity corresponding to the program type;
the intelligent terminal watching behavior data comprises: a viewing time period, and a program type corresponding to the viewing time period.
3. The recommendation method according to claim 2, wherein the obtaining of the associated device identifier according to the data to be associated and the obtaining of the user viewing behavior data according to the device identifier comprise:
associating the program type data, the preference crowd relation data corresponding to the program type and the intelligent terminal watching behavior data to obtain an equipment identifier;
and acquiring the preference crowd corresponding to the program type and the watching time periods of the preference crowd corresponding to different program types according to the equipment identification.
4. The recommendation method according to claim 3, wherein said obtaining a slot-scale list from said user viewing behavior data comprises:
acquiring time period-scale distribution of preference groups corresponding to the program types according to the preference groups corresponding to the program types and the watching time periods of the preference groups corresponding to different program types;
grouping by program type and preference crowd;
and sequencing the period-scale distribution according to the scale of the preference crowd to obtain a period-scale list.
5. The recommendation method according to any one of claims 1 to 4, wherein the recommending advertisement information matching the slot-scale list to the smart terminal comprises:
and forming a floating layer window on the page played by the intelligent terminal, and displaying the recommended advertisement information in the floating layer window.
6. The recommendation method according to any one of claims 1 to 4, wherein the device identification comprises:
a mobile phone number, IMSI, or IMEI.
7. The recommendation method according to claim 5, further comprising:
and responding to the operation of checking the detailed information of the recommended advertisement information triggered by the user, triggering and forming a floating layer window on the playing page of the intelligent terminal, and displaying the detailed information in the floating layer window.
8. The recommendation method according to claim 5, wherein the intelligent terminal comprises one or a combination of the following terminals:
smart phones, smart televisions, computers, tablet computers.
9. An advertisement recommendation apparatus based on a time slot program audience group, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring data to be associated, and the data to be associated comprises program type data, preference crowd relation data corresponding to the program type and intelligent terminal watching behavior data;
the second acquisition module is used for acquiring a related equipment identifier according to the data to be related and acquiring user watching behavior data according to the equipment identifier;
a third obtaining module, configured to obtain a time slot-scale list from the user viewing behavior data, where the time slot-scale list includes a preferred group, scales of the preferred group, and a program type;
and the recommending module is used for recommending the advertisement information matched with the time interval-scale list to the intelligent terminal according to a preset advertisement constraint condition and the time interval-scale list.
10. A controller configured to perform the method of advertisement recommendation based on a segment audience segment of any of claims 1-8.
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| CN113301399A (en) * | 2021-05-19 | 2021-08-24 | 中山亿联智能科技有限公司 | Advertisement putting method based on user behavior analysis and applied to set top box |
| CN114143607A (en) * | 2020-09-03 | 2022-03-04 | 惠州视维新技术有限公司 | Information recommendation method, storage medium and smart television |
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