[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN113435928A - Advertisement recommendation method and device based on voice recognition and computer equipment - Google Patents

Advertisement recommendation method and device based on voice recognition and computer equipment Download PDF

Info

Publication number
CN113435928A
CN113435928A CN202110703915.9A CN202110703915A CN113435928A CN 113435928 A CN113435928 A CN 113435928A CN 202110703915 A CN202110703915 A CN 202110703915A CN 113435928 A CN113435928 A CN 113435928A
Authority
CN
China
Prior art keywords
user
voice
advertisement
data
voice recognition
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110703915.9A
Other languages
Chinese (zh)
Inventor
李哲
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Huanwang Technology Co Ltd
Original Assignee
Guangdong Huanwang Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Huanwang Technology Co Ltd filed Critical Guangdong Huanwang Technology Co Ltd
Priority to CN202110703915.9A priority Critical patent/CN113435928A/en
Publication of CN113435928A publication Critical patent/CN113435928A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0269—Targeted advertisements based on user profile or attribute
    • G06Q30/0271—Personalized advertisement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2431—Multiple classes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0269—Targeted advertisements based on user profile or attribute
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/02—Feature extraction for speech recognition; Selection of recognition unit
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/063—Training
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Business, Economics & Management (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Human Computer Interaction (AREA)
  • Finance (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Strategic Management (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • General Business, Economics & Management (AREA)
  • Software Systems (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Marketing (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to an advertisement recommendation method, device and computer equipment based on voice recognition, wherein the method comprises the steps of obtaining voice data and user behavior data; determining the age bracket of the user according to the voice data and determining the program type which is interested by the user according to the user behavior data; and recommending the matched advertisement according to the age range of the user and the program type. The invention can intelligently recommend the advertisement according to the voice recognition technology, and timely replace the advertisement content according to the exposure and the click rate of the advertisement, thereby ensuring the effective delivery of the advertisement.

Description

Advertisement recommendation method and device based on voice recognition and computer equipment
Technical Field
The invention belongs to the technical field of smart televisions, and particularly relates to an advertisement recommendation method and device based on voice recognition and computer equipment.
Background
The smart television is a new product formed based on internet wave impact, aims to bring more convenient experience to users, has become the trend of televisions at present, and has the functions of three-in-one televisions, screen projection of mobile phones and computers, interaction of smart devices and the like, so that the development of the smart television is advanced. The intelligent television is a new television product which is provided with a full-open platform, carries an operating system, and can automatically install and uninstall various application software and continuously expand and upgrade functions while users enjoy common television contents.
In the related technology, most of the advertisements on the television are delivered according to models or regions, and different advertisements cannot be delivered for different users, for example, the interested contents are definitely different between the elderly and children, so that the played advertisements are not preferred by the users, and the advertisement click rate is reduced.
Disclosure of Invention
In view of the above, the present invention provides an advertisement recommendation method, an advertisement recommendation device and a computer device based on voice recognition to overcome the shortcomings in the prior art, so as to solve the problem that the advertisement click rate is low due to the fact that advertisements cannot be recommended for different user groups in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme: a method for recommending advertisements based on voice recognition comprises the following steps:
acquiring voice data and user behavior data;
determining the age bracket of the user according to the voice data and determining the program type which is interested by the user according to the user behavior data;
and recommending the matched advertisement according to the age range of the user and the program type.
Further, collecting user voice through a voice recognizer arranged on the television terminal;
and extracting the tone with the highest frequency of occurrence in the user voice as voice data.
Further, the user behavior data includes a video type watched by the user, a time period for the user to watch the video, and an application type used by the user.
Further, the determining the age bracket of the user according to the voice data comprises:
constructing a voice recognition model;
and inputting the acquired voice data into a voice recognition model, and recognizing and matching the voice data with the corresponding age bracket by the voice recognition model.
Further, the constructing the speech recognition model includes:
acquiring a large amount of voice data of different age groups;
classifying the voice data according to age groups;
and inputting the classified voice data of different age groups into a neural network model for training to obtain a voice recognition model.
Further, the method also comprises the following steps:
and replacing the advertisement content according to the exposure and the click rate of the recommended advertisement.
Further, the age groups include:
children, juveniles, young, middle-aged and elderly.
The embodiment of the application provides an advertisement recommendation device based on speech recognition, includes:
the acquisition module is used for acquiring voice data and user behavior data;
the determining module is used for determining the age bracket of the user according to the voice data and determining the program type which is interested by the user according to the user behavior data;
and the recommending module is used for recommending the matched advertisements according to the age range of the user and the program type.
The embodiment of the application provides computer equipment, which comprises a processor and a memory connected with the processor;
the memory is used for storing a computer program, and the computer program is used for executing the advertisement recommendation method based on voice recognition provided by any one of the above embodiments;
the processor is used to call and execute the computer program in the memory.
By adopting the technical scheme, the invention can achieve the following beneficial effects:
the invention provides an advertisement recommendation method, an advertisement recommendation device and computer equipment based on voice recognition, wherein the method comprises the steps of obtaining voice data and user behavior data; determining the age bracket of the user according to the voice data and determining the program type which is interested by the user according to the user behavior data; and recommending the matched advertisement according to the age range of the user and the program type. The invention can intelligently recommend the advertisement according to the voice recognition technology, and timely replace the advertisement content according to the exposure and the click rate of the advertisement, thereby ensuring the effective delivery of the advertisement.
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 voice recognition according to the present invention;
fig. 2 is a schematic structural diagram of an advertisement recommendation device based on voice recognition 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 computer device based on speech recognition provided in the embodiments of the present application are described below with reference to the accompanying drawings.
As shown in fig. 1, the advertisement recommendation method based on voice recognition provided in the embodiment of the present application includes:
s101, acquiring voice data and user behavior data;
s102, determining the age bracket of the user according to the voice data and determining the program type which is interested by the user according to the user behavior data;
and S103, recommending matched advertisements according to the age range and the program type of the user.
The working principle of the advertisement recommendation method based on the voice recognition is as follows: according to the method and the device, the voice and the watching history of the user are reported according to the voice searching record and the program playing situation of the user. Then, identifying the age group distribution of the client according to a voice identification technology; from the viewing history, the type of program of interest can be analyzed. And finally, according to the age bracket and the program type, the advertisement is put in a targeted way.
The technical scheme provided by the application can solve the problem that different groups push different advertisements, and increase the click rate of the advertisements.
In some embodiments, the voice of the user is collected through a voice recognizer arranged on the television terminal;
and extracting the tone with the highest frequency of occurrence in the user voice as voice data.
It can be understood that, in the present application, the voice of the user is collected through the voice recognizer arranged on the television terminal, and then the tone with the highest frequency of occurrence in the voice of the user is extracted as the voice data, the tone with the highest frequency can be described, and the tone with the highest frequency of use of the television terminal can play the corresponding interesting advertisement according to the characteristics of the tone.
Specifically, the voice recognizer is implemented by a voice recognition chip, and the user voice can be a conversation of family members together at ordinary times or a search instruction transmitted to the television terminal by the user.
In some embodiments, the user behavior data includes a type of video watched by the user, a period of time for which the user watched the video, and a type of application used by the user.
By analyzing the user behavior data, the video type which the user likes to watch can be obtained, and the age and the gender of the user can be roughly judged according to the video type; for example: the user may be a middle-aged woman if the user likes to watch a family ethical drama for a long time, a child if the user watches a juvenile-like program for a long time, or a middle-aged man if the user likes to watch news live. Similarly, the judgment of the application is the same, and is not described in detail in this application.
Therefore, through a multidimensional mode of recognizing the user behavior data after voice recognition, refined pushing can be realized more accurately, or a time period of each user using the television terminal every day can be judged through the user behavior data, so that advertisements suitable for the user are sent in the time period, and fixed-point pushing is realized.
In some embodiments, said determining a user age group from said speech data comprises:
constructing a voice recognition model;
and inputting the acquired voice data into a voice recognition model, and recognizing and matching the voice data with the corresponding age bracket by the voice recognition model.
Preferably, the constructing the speech recognition model includes:
acquiring a large amount of voice data of different age groups;
classifying the voice data according to age groups;
and inputting the classified voice data of different age groups into a neural network model for training to obtain a voice recognition model.
It can be understood that, in the present application, a large amount of speech data of different age groups are obtained, and then the speech data are input into the neural network model to be trained until the neural network model converges, so as to obtain the speech recognition model. The speech recognition model matches the corresponding age bracket to the input speech data.
Preferably, the age groups include:
children, juveniles, young, middle-aged and elderly.
It should be noted that the speech recognition model can recognize not only mandarin but also dialect, which is not described herein again.
As shown in fig. 2, an embodiment of the present application provides an advertisement recommendation apparatus based on voice recognition, including:
an obtaining module 201, configured to obtain voice data and user behavior data;
a determining module 202, configured to determine a user age group according to the voice data and determine a program type in which a user is interested according to the user behavior data;
and the recommending module 203 is used for recommending the matched advertisements according to the age range of the user and the program type.
The operating principle of the advertisement recommendation device based on voice recognition provided by the embodiment of the application is that the acquisition module 201 acquires voice data and user behavior data; the determining module 202 determines the age bracket of the user according to the voice data and determines the program type interested by the user according to the user behavior data; the recommending module 203 recommends the matched advertisement according to the user age bracket and the program type.
The embodiment of the application provides computer equipment, which comprises a processor and a memory connected with the processor;
the memory is used for storing a computer program, and the computer program is used for executing the voice data acquisition and the user behavior data provided by any one of the above embodiments;
determining the age bracket of the user according to the voice data and determining the program type which is interested by the user according to the user behavior data;
recommending matched advertisements according to the age range and the program type of the user;
the processor is used to call and execute the computer program in the memory.
In summary, the present invention provides a method, an apparatus and a computer device for advertisement recommendation based on voice recognition, wherein the method includes acquiring voice data and user behavior data; determining the age bracket of the user according to the voice data and determining the program type which is interested by the user according to the user behavior data; and recommending the matched advertisement according to the age range of the user and the program type. The invention can intelligently recommend the advertisement according to the voice recognition technology, and timely replace the advertisement content according to the exposure and the click rate of the advertisement, thereby ensuring the effective delivery of the advertisement.
It is to be understood that the embodiments of the method provided above correspond to the embodiments of the apparatus described above, 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 means 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 instruction means which implement the function 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 (9)

1. An advertisement recommendation method based on voice recognition is characterized by comprising the following steps:
acquiring voice data and user behavior data;
determining the age bracket of the user according to the voice data and determining the program type which is interested by the user according to the user behavior data;
and recommending the matched advertisement according to the age range of the user and the program type.
2. The method of claim 1,
collecting user voice through a voice recognizer arranged on a television terminal;
and extracting the tone with the highest frequency of occurrence in the user voice as voice data.
3. The method according to claim 1 or 2,
the user behavior data comprises the type of video watched by the user, the time period for the user to watch the video and the type of application used by the user.
4. The method of claim 2, wherein determining the age bracket of the user from the speech data comprises:
constructing a voice recognition model;
and inputting the acquired voice data into a voice recognition model, and recognizing and matching the voice data with the corresponding age bracket by the voice recognition model.
5. The method of claim 4, wherein the constructing the speech recognition model comprises:
acquiring a large amount of voice data of different age groups;
classifying the voice data according to age groups;
and inputting the classified voice data of different age groups into a neural network model for training to obtain a voice recognition model.
6. The method of claim 1, further comprising:
and replacing the advertisement content according to the exposure and the click rate of the recommended advertisement.
7. The method of claim 5, wherein the age group comprises:
children, juveniles, young, middle-aged and elderly.
8. An advertisement recommendation device based on voice recognition, comprising:
the acquisition module is used for acquiring voice data and user behavior data;
the determining module is used for determining the age bracket of the user according to the voice data and determining the program type which is interested by the user according to the user behavior data;
and the recommending module is used for recommending the matched advertisements according to the age range of the user and the program type.
9. A computer device, comprising: a processor, and a memory coupled to the processor;
the memory is used for storing a computer program for executing the voice recognition based advertisement recommendation method of any one of claims 1 to 7;
the processor is used for calling and executing the computer program in the memory.
CN202110703915.9A 2021-06-24 2021-06-24 Advertisement recommendation method and device based on voice recognition and computer equipment Pending CN113435928A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110703915.9A CN113435928A (en) 2021-06-24 2021-06-24 Advertisement recommendation method and device based on voice recognition and computer equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110703915.9A CN113435928A (en) 2021-06-24 2021-06-24 Advertisement recommendation method and device based on voice recognition and computer equipment

Publications (1)

Publication Number Publication Date
CN113435928A true CN113435928A (en) 2021-09-24

Family

ID=77753982

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110703915.9A Pending CN113435928A (en) 2021-06-24 2021-06-24 Advertisement recommendation method and device based on voice recognition and computer equipment

Country Status (1)

Country Link
CN (1) CN113435928A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116389836A (en) * 2023-06-07 2023-07-04 深圳市天空创想科技有限公司 Multimedia information interaction system and interaction method

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101127624A (en) * 2007-09-27 2008-02-20 腾讯科技（深圳）有限公司 Demonstration method and system for advertisement server, advertisement originality
CN105959806A (en) * 2016-05-25 2016-09-21 乐视控股（北京）有限公司 Program recommendation method and device
CN107943894A (en) * 2017-11-16 2018-04-20 百度在线网络技术（北京）有限公司 Method and apparatus for pushing content of multimedia
CN108205769A (en) * 2016-12-20 2018-06-26 北京神州泰岳智能数据技术有限公司 A kind of acquisition methods and device of target outdoor media
CN108364197A (en) * 2018-02-12 2018-08-03 广州虎牙信息科技有限公司 Determine method, application method and the electronic equipment of user's retention ratio of application
CN108898428A (en) * 2018-06-19 2018-11-27 努比亚技术有限公司 A kind of terminal user enlivens determination method, server and the storage medium of index
CN110677729A (en) * 2018-07-03 2020-01-10 深圳Tcl新技术有限公司 Advertisement pushing method according to age bracket, smart television and storage medium
CN110728387A (en) * 2019-09-16 2020-01-24 武汉安诠加信息技术有限公司 Method, device, equipment and medium for reserving and experiencing beauty parlor project

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101127624A (en) * 2007-09-27 2008-02-20 腾讯科技（深圳）有限公司 Demonstration method and system for advertisement server, advertisement originality
CN105959806A (en) * 2016-05-25 2016-09-21 乐视控股（北京）有限公司 Program recommendation method and device
CN108205769A (en) * 2016-12-20 2018-06-26 北京神州泰岳智能数据技术有限公司 A kind of acquisition methods and device of target outdoor media
CN107943894A (en) * 2017-11-16 2018-04-20 百度在线网络技术（北京）有限公司 Method and apparatus for pushing content of multimedia
CN108364197A (en) * 2018-02-12 2018-08-03 广州虎牙信息科技有限公司 Determine method, application method and the electronic equipment of user's retention ratio of application
CN108898428A (en) * 2018-06-19 2018-11-27 努比亚技术有限公司 A kind of terminal user enlivens determination method, server and the storage medium of index
CN110677729A (en) * 2018-07-03 2020-01-10 深圳Tcl新技术有限公司 Advertisement pushing method according to age bracket, smart television and storage medium
CN110728387A (en) * 2019-09-16 2020-01-24 武汉安诠加信息技术有限公司 Method, device, equipment and medium for reserving and experiencing beauty parlor project

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
罗森林: "《信息系统安全与对抗技术》", 31 August 2005, 北京理工大学出版社, pages: 203 - 204 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116389836A (en) * 2023-06-07 2023-07-04 深圳市天空创想科技有限公司 Multimedia information interaction system and interaction method

Similar Documents

Publication Publication Date Title
CN107886949B (en) Content recommendation method and device
US7620551B2 (en) Method and apparatus for providing search capability and targeted advertising for audio, image, and video content over the internet
CN104822074B (en) A kind of recommendation method and device of TV programme
CN105095508B (en) A kind of multimedia content recommended method and multimedia content recommendation apparatus
CN106331778B (en) Video recommendation method and device
WO2021042826A1 (en) Video playback completeness prediction method and apparatus
CN102265276B (en) Commending system based on context
CN110557659B (en) Video recommendation method and device, server and storage medium
CN105975472A (en) Method and device for recommendation
CN105979376A (en) Recommendation method and device
CN105959749A (en) Intelligent terminal, remote controller and recommending method and system
CN111984821B (en) Method, device, storage medium and electronic device for determining video dynamic cover
CN114254158B (en) Video generation method and device, and neural network training method and device
CN110248246B (en) Data analysis method and device, computer equipment and computer readable storage medium
CN105488206B (en) A kind of Android application evolution recommended method based on crowdsourcing
CN110287788A (en) A kind of video classification methods and device
CN112883209A (en) Recommendation method and processing method, device, equipment and readable medium for multimedia data
CN112135170A (en) Display device, server and video recommendation method
Johnson et al. COPPAcalypse? The Youtube Settlement's Impact on Kids Content
WO2016206035A1 (en) Information recommendation method and user terminal
CN113435928A (en) Advertisement recommendation method and device based on voice recognition and computer equipment
CN117574883A (en) Text processing method and related equipment
CN115866339A (en) Television program recommendation method and device, intelligent device and readable storage medium
KR20190027758A (en) Method and apparatus for providing celebrity contribution information using positive and negative information
CN102752644A (en) Automatic program classification method of set top box

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20210924