CN110856021A - Hotel guest room television advertisement accurate delivery method - Google Patents
Hotel guest room television advertisement accurate delivery method Download PDFInfo
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- CN110856021A CN110856021A CN201911168814.5A CN201911168814A CN110856021A CN 110856021 A CN110856021 A CN 110856021A CN 201911168814 A CN201911168814 A CN 201911168814A CN 110856021 A CN110856021 A CN 110856021A
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- 238000002716 delivery method Methods 0.000 title description 3
- 238000004458 analytical method Methods 0.000 claims abstract description 18
- 238000000034 method Methods 0.000 claims abstract description 18
- 238000004806 packaging method and process Methods 0.000 claims description 5
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
Classifications
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/252—Processing of multiple end-users' preferences to derive collaborative data
-
- 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25875—Management of end-user data involving end-user authentication
-
- 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
- H04N21/2668—Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles
-
- 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
- H04N21/436—Interfacing a local distribution network, e.g. communicating with another STB or one or more peripheral devices inside the home
- H04N21/4363—Adapting the video stream to a specific local network, e.g. a Bluetooth® network
- H04N21/43637—Adapting the video stream to a specific local network, e.g. a Bluetooth® network involving a wireless protocol, e.g. Bluetooth, RF or wireless LAN [IEEE 802.11]
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Graphics (AREA)
- Computing Systems (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computer Security & Cryptography (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Transfer Between Computers (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention belongs to the technical field of advertisement putting, and particularly relates to a precise advertisement putting method for a television in a hotel guest room, which comprises the following steps: s1, uploading the advertisements to a cloud in advance, and classifying the advertisements; s2, the user is connected with the television box through the smart phone to input personal information, the television box uploads the personal information to the cloud, and the smart phone is bound with the television box; because the high in the clouds is connected with the TV box, high in the clouds accessible TV box carries out the analysis to user's cell-phone, divide according to user's sex, age bracket and the content preference of browsing of cell-phone, the user's that can more accurate acquisition information, simultaneously, according to the high in the clouds to user's preference and the room type of TV box of using the TV box, through the comprehensive analysis to user's cell-phone and use the TV box, can carry out accurate classification to the user to can be to the more accurate advertisement of puting in to the user.
Description
Technical Field
The invention belongs to the technical field of advertisement putting, and particularly relates to a precise advertisement putting method for a television in a hotel guest room.
Background
The advertisement, as the name implies, is an advertisement that informs the general public of the society of something. The advertisement has broad and narrow meanings, the broad advertisement refers to an advertisement which is not aimed at profit, such as government announcement, initiatives and statements in political parties, religions, education, culture, municipal administration, social groups and the like, the narrow advertisement refers to an advertisement which is aimed at profit, generally a commercial advertisement or economic advertisement, and is a means for marketing goods or providing services and transmitting goods or service information to consumers or users through an advertisement medium in a payment mode, and the advertisement put on a television of a hotel guest room is a new advertisement putting mode.
The existing hotel guest room television advertisement delivery methods classify users by analyzing habits, preferences and the like of the users using televisions, and cannot accurately analyze the users, so that the classification of the users by the cloud is not accurate enough, and the advertisements can not be accurately delivered according to the users.
Disclosure of Invention
To solve the problems set forth in the background art described above. The invention provides a method for accurately putting television advertisements in hotel rooms, which has the characteristic of accurate putting.
In order to achieve the purpose, the invention provides the following technical scheme: a method for accurately putting television advertisements in hotel rooms comprises the following steps:
s1, uploading the advertisements to a cloud in advance, and classifying the advertisements;
s2, the user is connected with the television box through the smart phone to input personal information, the television box uploads the personal information to the cloud, and the smart phone is bound with the television box;
s3, the cloud end acquires personal information of the mobile phone end user through the television box, analyzes the personal information, and classifies the personal information after the analysis is finished;
s4, the cloud acquires information of the television box and analyzes the television box;
s5, analyzing by the television box according to the watching program type and the program playing time length of the user to obtain the favorite program type of the user, packaging the favorite program type of the user into a data packet, and uploading the data packet marked as user preference data to the cloud;
s6, accurately classifying the users by the cloud in combination with the personal information of the users, the types of the rooms in which the users are located and the preferences of the users;
s7, comparing the information of the user classification with preset advertisement putting rules in the cloud, and matching advertisements corresponding to the user classification;
s8, the cloud end pushes the advertisements corresponding to the client categories to a television box of a room where the client is located;
s9, the television box plays the advertisement pushed by the cloud in the advertisement playing area of the television, and controls the advertisement playing time according to the habit of the user.
S10, the cloud end can also push the text and picture advertisements corresponding to the user categories to the smart phone of the user.
Preferably, the television box is connected with the cloud end through a network.
Preferably, the smart phone is connected with the television box through a network, a Bluetooth or a data line.
Preferably, in S2, the personal information input by the user includes sex, character, age, work and hobby.
Preferably, in S4, the analysis divides the type of the room in which the tv box is located and the time period during which the tv box is started to play.
Compared with the prior art, the invention has the beneficial effects that: because the high in the clouds is connected with the TV box, high in the clouds accessible TV box carries out the analysis to user's cell-phone, divide according to user's sex, age bracket and the content preference of browsing of cell-phone, the user's that can more accurate acquisition information, simultaneously, according to the high in the clouds to user's preference and the room type of TV box of using the TV box, through the comprehensive analysis to user's cell-phone and use the TV box, can carry out accurate classification to the user to can be to user's more accurate advertisement of puting in.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The invention provides the following technical scheme: a method for accurately putting television advertisements in hotel rooms comprises the following steps:
s1, uploading the advertisements to a cloud in advance, and classifying the advertisements;
s2, the user is connected with the television box through the smart phone to input personal information, the television box uploads the personal information to the cloud, and the smart phone is bound with the television box;
s3, the cloud end acquires personal information of the mobile phone end user through the television box, analyzes the personal information, and classifies the personal information after the analysis is finished;
s4, the cloud acquires information of the television box and analyzes the television box;
s5, analyzing by the television box according to the watching program type and the program playing time length of the user to obtain the favorite program type of the user, packaging the favorite program type of the user into a data packet, and uploading the data packet marked as user preference data to the cloud;
s6, accurately classifying the users by the cloud in combination with the personal information of the users, the types of the rooms in which the users are located and the preferences of the users;
s7, comparing the information of the user classification with preset advertisement putting rules in the cloud, and matching advertisements corresponding to the user classification;
s8, the cloud end pushes the advertisements corresponding to the client categories to a television box of a room where the client is located;
s9, the television box plays the advertisement pushed by the cloud in the advertisement playing area of the television, and controls the advertisement playing time according to the habit of the user.
S10, the cloud end can also push the text and picture advertisements corresponding to the user categories to the smart phone of the user.
In this embodiment: a user is connected with a television box through a smart phone to input personal information, the television box uploads the personal information to a cloud end and binds the smart phone with the television box, the cloud end acquires the personal information of the user at a mobile phone end through the television box, then analyzes the personal information and classifies the personal information after the analysis is finished, the cloud end acquires the information of the television box and analyzes the television box, analyzes and divides the type of a room where the television box is located and the time period when the television box is opened for playing, the television box analyzes and obtains the type of programs liked by the user according to the type of programs watched by the user and the playing time period of the programs, packs the types of the programs liked by the user into a data packet which is marked as user preference data to be uploaded to the cloud end, compares the classified user with advertisement putting rules preset in the cloud end to match advertisements corresponding to the user types, and pushes the advertisements corresponding to the client types to the television box of the room where the client is located, the television box plays the advertisement pushed by the cloud in the advertisement playing area of the television, and controls the length of the advertisement playing time according to the habit of the user, when the user uses the mobile phone and the television box, the cloud is connected with the television box, the mobile phone of the user can be analyzed by the television box through the cloud, the user can be divided according to the gender, the age and the browsing content preference of the mobile phone, the user information can be accurately acquired, meanwhile, the user can use the television box and the room type of the television box according to the cloud, the user can be accurately classified through comprehensive analysis of the mobile phone of the user and the television box, the advertisement can be accurately put in the user, and the cloud can also push the character and picture advertisement corresponding to the user category to the smart mobile phone of the user.
Specifically, the television box is connected with the cloud through a network.
Specifically, the smart phone is connected with the television box through a network.
Specifically, in S2, the personal information input by the user includes sex, character, age, work, and hobby.
Specifically, in S4, the type of the room in which the television box is located and the time period during which the television box is started to play are analyzed and divided.
Example 2
The invention provides the following technical scheme: a method for accurately putting television advertisements in hotel rooms comprises the following steps:
s1, uploading the advertisements to a cloud in advance, and classifying the advertisements;
s2, the user is connected with the television box through the smart phone to input personal information, the television box uploads the personal information to the cloud, and the smart phone is bound with the television box;
s3, the cloud end acquires personal information of the mobile phone end user through the television box, analyzes the personal information, and classifies the personal information after the analysis is finished;
s4, the cloud acquires information of the television box and analyzes the television box;
s5, analyzing by the television box according to the watching program type and the program playing time length of the user to obtain the favorite program type of the user, packaging the favorite program type of the user into a data packet, and uploading the data packet marked as user preference data to the cloud;
s6, accurately classifying the users by the cloud in combination with the personal information of the users, the types of the rooms in which the users are located and the preferences of the users;
s7, comparing the information of the user classification with preset advertisement putting rules in the cloud, and matching advertisements corresponding to the user classification;
s8, the cloud end pushes the advertisements corresponding to the client categories to a television box of a room where the client is located;
s9, the television box plays the advertisement pushed by the cloud in the advertisement playing area of the television, and controls the advertisement playing time according to the habit of the user.
S10, the cloud end can also push the text and picture advertisements corresponding to the user categories to the smart phone of the user.
In this embodiment: a user is connected with a television box through a smart phone to input personal information, the television box uploads the personal information to a cloud end and binds the smart phone with the television box, the cloud end acquires the personal information of the user at a mobile phone end through the television box, then analyzes the personal information and classifies the personal information after the analysis is finished, the cloud end acquires the information of the television box and analyzes the television box, analyzes and divides the type of a room where the television box is located and the time period when the television box is opened for playing, the television box analyzes and obtains the type of programs liked by the user according to the type of programs watched by the user and the playing time period of the programs, packs the types of the programs liked by the user into a data packet which is marked as user preference data to be uploaded to the cloud end, compares the classified user with advertisement putting rules preset in the cloud end to match advertisements corresponding to the user types, and pushes the advertisements corresponding to the client types to the television box of the room where the client is located, the television box plays the advertisement pushed by the cloud in the advertisement playing area of the television, and controls the length of the advertisement playing time according to the habit of the user, when the user uses the mobile phone and the television box, the cloud is connected with the television box, the mobile phone of the user can be analyzed by the television box through the cloud, the user can be divided according to the gender, the age and the browsing content preference of the mobile phone, the user information can be accurately acquired, meanwhile, the user can use the television box and the room type of the television box according to the cloud, the user can be accurately classified through comprehensive analysis of the mobile phone of the user and the television box, the advertisement can be accurately put in the user, and the cloud can also push the character and picture advertisement corresponding to the user category to the smart mobile phone of the user.
Specifically, the television box is connected with the cloud through a network.
Specifically, the smart phone is connected with the television box through the Bluetooth.
Specifically, in S2, the personal information input by the user includes sex, character, age, work, and hobby.
Specifically, in S4, the type of the room in which the television box is located and the time period during which the television box is started to play are analyzed and divided.
Example 3
The invention provides the following technical scheme: a method for accurately putting television advertisements in hotel rooms comprises the following steps:
s1, uploading the advertisements to a cloud in advance, and classifying the advertisements;
s2, the user is connected with the television box through the smart phone to input personal information, the television box uploads the personal information to the cloud, and the smart phone is bound with the television box;
s3, the cloud end acquires personal information of the mobile phone end user through the television box, analyzes the personal information, and classifies the personal information after the analysis is finished;
s4, the cloud acquires information of the television box and analyzes the television box;
s5, analyzing by the television box according to the watching program type and the program playing time length of the user to obtain the favorite program type of the user, packaging the favorite program type of the user into a data packet, and uploading the data packet marked as user preference data to the cloud;
s6, accurately classifying the users by the cloud in combination with the personal information of the users, the types of the rooms in which the users are located and the preferences of the users;
s7, comparing the information of the user classification with preset advertisement putting rules in the cloud, and matching advertisements corresponding to the user classification;
s8, the cloud end pushes the advertisements corresponding to the client categories to a television box of a room where the client is located;
s9, the television box plays the advertisement pushed by the cloud in the advertisement playing area of the television, and controls the advertisement playing time according to the habit of the user.
S10, the cloud end can also push the text and picture advertisements corresponding to the user categories to the smart phone of the user.
In this embodiment: a user is connected with a television box through a smart phone to input personal information, the television box uploads the personal information to a cloud end and binds the smart phone with the television box, the cloud end acquires the personal information of the user at a mobile phone end through the television box, then analyzes the personal information and classifies the personal information after the analysis is finished, the cloud end acquires the information of the television box and analyzes the television box, analyzes and divides the type of a room where the television box is located and the time period when the television box is opened for playing, the television box analyzes and obtains the type of programs liked by the user according to the type of programs watched by the user and the playing time period of the programs, packs the types of the programs liked by the user into a data packet which is marked as user preference data to be uploaded to the cloud end, compares the classified user with advertisement putting rules preset in the cloud end to match advertisements corresponding to the user types, and pushes the advertisements corresponding to the client types to the television box of the room where the client is located, the television box plays the advertisement pushed by the cloud in the advertisement playing area of the television, and controls the length of the advertisement playing time according to the habit of the user, when the user uses the mobile phone and the television box, the cloud is connected with the television box, the mobile phone of the user can be analyzed by the television box through the cloud, the user can be divided according to the gender, the age and the browsing content preference of the mobile phone, the user information can be accurately acquired, meanwhile, the user can use the television box and the room type of the television box according to the cloud, the user can be accurately classified through comprehensive analysis of the mobile phone of the user and the television box, the advertisement can be accurately put in the user, and the cloud can also push the character and picture advertisement corresponding to the user category to the smart mobile phone of the user.
Specifically, the television box is connected with the cloud through a network.
Specifically, the smart phone is connected with the television box through a data line.
Specifically, in S2, the personal information input by the user includes sex, character, age, work, and hobby.
Specifically, in S4, the type of the room in which the television box is located and the time period during which the television box is started to play are analyzed and divided.
The working principle and the using process of the invention are as follows: a user is connected with a television box through a smart phone to input personal information, the television box uploads the personal information to a cloud end and binds the smart phone with the television box, the cloud end acquires the personal information of the user at a mobile phone end through the television box, then analyzes the personal information and classifies the personal information after the analysis is finished, the cloud end acquires the information of the television box and analyzes the television box, analyzes and divides the type of a room where the television box is located and the time period when the television box is opened for playing, the television box analyzes and obtains the type of programs liked by the user according to the type of programs watched by the user and the playing time period of the programs, packs the types of the programs liked by the user into a data packet which is marked as user preference data to be uploaded to the cloud end, compares the classified user with advertisement putting rules preset in the cloud end to match advertisements corresponding to the user types, and pushes the advertisements corresponding to the client types to the television box of the room where the client is located, the television box plays the advertisement pushed by the cloud in the advertisement playing area of the television, and controls the length of the advertisement playing time according to the habit of the user, when the user uses the mobile phone and the television box, the cloud is connected with the television box, the mobile phone of the user can be analyzed by the television box through the cloud, the user can be divided according to the gender, the age and the browsing content preference of the mobile phone, the user information can be accurately acquired, meanwhile, the user can use the television box and the room type of the television box according to the cloud, the user can be accurately classified through comprehensive analysis of the mobile phone of the user and the television box, the advertisement can be accurately put in the user, and the cloud can also push the character and picture advertisement corresponding to the user category to the smart mobile phone of the user.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A method for accurately putting television advertisements in hotel rooms is characterized by comprising the following steps: the method comprises the following steps:
s1, uploading the advertisements to a cloud in advance, and classifying the advertisements;
s2, the user is connected with the television box through the smart phone to input personal information, the television box uploads the personal information to the cloud, and the smart phone is bound with the television box;
s3, the cloud end acquires personal information of the mobile phone end user through the television box, analyzes the personal information, and classifies the personal information after the analysis is finished;
s4, the cloud acquires information of the television box and analyzes the television box;
s5, analyzing by the television box according to the watching program type and the program playing time length of the user to obtain the favorite program type of the user, packaging the favorite program type of the user into a data packet, and uploading the data packet marked as user preference data to the cloud;
s6, accurately classifying the users by the cloud in combination with the personal information of the users, the types of the rooms in which the users are located and the preferences of the users;
s7, comparing the information of the user classification with preset advertisement putting rules in the cloud, and matching advertisements corresponding to the user classification;
s8, the cloud end pushes the advertisements corresponding to the client categories to a television box of a room where the client is located;
s9, the television box plays the advertisement pushed by the cloud in the advertisement playing area of the television, and controls the advertisement playing time according to the habit of the user.
S10, the cloud end can also push the text and picture advertisements corresponding to the user categories to the smart phone of the user.
2. The method for accurately delivering the television advertisement of the hotel guest room according to claim 1, wherein the method comprises the following steps: the television box is connected with the cloud end through a network.
3. The method for accurately delivering the television advertisement of the hotel guest room according to claim 1, wherein the method comprises the following steps: the smart phone is connected with the television box through a network, Bluetooth or a data line.
4. The method for accurately delivering the television advertisement of the hotel guest room according to claim 1, wherein the method comprises the following steps: in S2, the personal information input by the user includes sex, character, age, work, and hobby.
5. The method for accurately delivering the television advertisement of the hotel guest room according to claim 1, wherein the method comprises the following steps: in S4, the type of the room in which the television box is located and the time period for which the television box is started to play are analyzed and divided.
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