CN108337544A - A kind of RTV remote television box based on the study of internet artificial intelligence - Google Patents

A kind of RTV remote television box based on the study of internet artificial intelligence Download PDF

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Publication number
CN108337544A
CN108337544A CN201810275698.6A CN201810275698A CN108337544A CN 108337544 A CN108337544 A CN 108337544A CN 201810275698 A CN201810275698 A CN 201810275698A CN 108337544 A CN108337544 A CN 108337544A
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CN
China
Prior art keywords
module
connection
intelligent algorithm
operation system
program
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
CN201810275698.6A
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Chinese (zh)
Inventor
吴幸
樊天意
兰智丽
谢琳婧
汪鸿祎
王娜
闫彬洁
李亚巍
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East China Normal University
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East China Normal University
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Filing date
Publication date
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Priority to CN201810275698.6A priority Critical patent/CN108337544A/en
Publication of CN108337544A publication Critical patent/CN108337544A/en
Pending legal-status Critical Current

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Classifications

    • 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
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/426—Internal components of the client ; Characteristics thereof
    • 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
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/42204—User interfaces specially adapted for controlling a client device through a remote control device; Remote control devices therefor
    • H04N21/42206—User interfaces specially adapted for controlling a client device through a remote control device; Remote control devices therefor characterized by hardware details
    • H04N21/42221—Transmission circuitry, e.g. infrared [IR] or radio frequency [RF]
    • 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
    • H04N21/443—OS processes, e.g. booting an STB, implementing a Java virtual machine in an STB or power management in an STB
    • 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
    • H04N21/4662—Learning process for intelligent management, e.g. learning user preferences for recommending movies characterized by learning algorithms
    • 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
    • H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
    • 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

Abstract

The invention discloses a kind of RTV remote television boxes based on the study of internet artificial intelligence, including micro operation system, memory module, display module, Digiplex and remote server, the present invention uses the micro operation system by central processing unit, graphics processor, Memory Controller Hub, communication module and intelligent algorithm module composition, intelligent algorithm module therein by data collection module, weight computation module, collaborative filtering module, constituted based on content algorithms module and recommending data packet；The present invention is calculated the weighted value of keyword by weight computation module, and work out user and program preferences matrix, collaborative filtering module, which calculates, recommends programme one, it is calculated by content algorithms module and recommends programme two, and programme will be recommended to be transmitted to recommending data packet, it realizes artificial intelligence automatic screening and recommends the program for meeting user interest type, communicated using scalar property's Digiplex and communication module, the convenience of user's operation is made to greatly improve.

Description

A kind of RTV remote television box based on the study of internet artificial intelligence
Technical field
The present invention relates to artificial intelligence TV technology, especially a kind of remote control based on the study of internet artificial intelligence TV box.
Background technology
With developing for internet, online movie amusement gradually move towards mainstream, as by linking Internet TV most Easily tool, TV box come into being, it can play out internet content on a television set.Common TV box Although the functions such as live telecast, film-on-demand may be implemented in son, function is limited, and usage experience is also short of new meaning.In order into One step promotes the practicability of TV box, and personalized customization service is provided for different users, and TV people starts steering pair The data of watching record of user are analyzed, and are recommending to make a search on program for user.Tian Mai poly- source medium science and technology in Wuxi has Limit company 2015 is in patent《The method and system that hot word is searched in a kind of TV box》（104581399 A of patent No. CN） In provide a kind of method that hot word is searched in TV box, include watching the record information acquisition of program according to user locally to push away Program is recommended, this method is；The first hot word data are obtained, and explain the recommendation program field in the first hot word data；It will locally push away It recommends program to be added in the recommendation program field, obtains the second hot word data；Below TV box search box, display second The recommendation program for including in hot word data.But it is only to believe record for the processing of historical record in existing patent of invention Time watched is more than that the program of threshold value recommends program as local in breath, is not carried out with intelligent algorithm, cannot be right The data of the viewing record of televiewer are further analyzed processing, and the program preferences situation for summing up televiewer is gone forward side by side Row is recommended.In addition, existing TV box remote control technology is to be based on infrared remote-controlled signal, have directionality, when use must be right Calibration signal receiver, it is less convenient.
Invention content
The purpose of the present invention is in view of the deficiencies of the prior art and provide it is a kind of based on internet artificial intelligence study RTV remote television box.The present invention includes micro operation system, memory module, display module, Digiplex and remote server, The present invention is used by central processing unit, graphics processor, Memory Controller Hub, communication module and intelligent algorithm module composition Micro operation system, intelligent algorithm module therein is by data collection module, weight computation module, collaborative filtering mould Block is constituted based on content algorithms module and recommending data packet；The present invention is based on micro operation systems and intelligent algorithm module Setting, the weighted value of keyword is calculated by weight computation module, and work out user and program preferences matrix, collaborative filtering Module, which calculates, recommends programme one, is calculated by content algorithms module and recommends programme two, and programme will be recommended to be transmitted to Recommending data packet realizes artificial intelligence automatic screening and recommends the program for meeting user interest type, using scalar property's wireless remote It controls device to communicate with communication module, the convenience of user's operation is made to greatly improve.
Realizing the specific technical solution of the object of the invention is：
It is a kind of based on internet artificial intelligence study RTV remote television box, feature include micro operation system, memory module, Display module, Digiplex and remote server；The micro operation system is by central processing unit, graphics processor, memory Controller, communication module and intelligent algorithm module composition；Wherein, communication module respectively with central processing unit, graphics process Device connects, and central processing unit is connect with Memory Controller Hub；
The intelligent algorithm module by data collection module, weight computation module, collaborative filtering module, be based on content Algoritic module and recommending data packet are constituted；Wherein, data collection module is connect with weight computation module, weight computation module difference Connect with collaborative filtering module, based on content algorithms module, collaborative filtering module, based on content algorithms module with Recommending data packet connects, and collaborative filtering module is connect with based on content algorithms module；
The central processing unit of the micro operation system, graphics processor respectively with the data collection mould of intelligent algorithm module Block connects；
The memory module, display module and remote server are connect with micro operation system by communication module respectively；This Outside, memory module is also connect with the data collection module of intelligent algorithm module, display module also with intelligent algorithm mould The recommending data packet of block connects；
The Digiplex is wirelessly connected by the communication module of micro operation system.
The present invention includes micro operation system, memory module, display module, Digiplex and remote server, this hair It is bright to use by the miniature of central processing unit, graphics processor, Memory Controller Hub, communication module and intelligent algorithm module composition Operating system, intelligent algorithm module therein by data collection module, weight computation module, collaborative filtering module, It is constituted based on content algorithms module and recommending data packet；The present invention is based on micro operation systems and intelligent algorithm module to set It sets, the weighted value of keyword is calculated by weight computation module, and work out user and program preferences matrix, collaborative filtering mould Block, which calculates, recommends programme one, is calculated by content algorithms module and recommends programme two, and pushed away recommending programme to be transmitted to Data packet is recommended, realize artificial intelligence automatic screening and recommends the program for meeting user interest type, using scalar property's wireless remote control Device is communicated with communication module, and the convenience of user's operation is made to greatly improve.
Description of the drawings
Fig. 1 is the structural schematic diagram of the present invention.
Specific implementation mode
The present invention includes micro operation system 1, memory module 2, display module 3, Digiplex 4 and remote server 5； The micro operation system 1 is by central processing unit 11, graphics processor 12, Memory Controller Hub 13, communication module 14 and artificial intelligence It can the composition of algoritic module 15；Wherein, communication module 14 is connect with central processing unit 11, graphics processor 12 respectively, central processing Device 11 is connect with Memory Controller Hub 13；
The intelligent algorithm module 15 is by data collection module 151, weight computation module 152, collaborative filtering module 153, it is based on content algorithms module 154 and recommending data packet 155 is constituted；Wherein, data collection module 151 and weight computation module 152 connections, weight computation module 152 are connect with collaborative filtering module 153, based on content algorithms module 154 respectively, are cooperateed with Filter algorithm module 153 is connect with recommending data packet 155 based on content algorithms module 154, and collaborative filtering module 153 are connect with based on content algorithms module 154；
The central processing unit 11 of the micro operation system 1, graphics processor 12 number with intelligent algorithm module 15 respectively It is connected according to collection module 151；
The memory module 2, display module 3 and remote server 5 are connected with micro operation system 1 by communication module 14 respectively It connects；In addition, memory module 2 is also connect with the data collection module of intelligent algorithm module 15 151, display module 3 is gone back and people The recommending data packet 155 of work intelligent algorithm module 15 connects；
The Digiplex 4 is wirelessly connected by the communication module 14 of micro operation system 1.
Embodiment
1, the work of Digiplex：
Refering to fig. 1, when Digiplex 4 sends out instruction, communication module 14, which receives, to be instructed and is transferred to central processing unit 11, center Processor 11 handles the instruction, and returns to communication module 14, is transferred to display module 3 by communication module 14 to play.
It will produce temporary file in the processing procedure of central processing unit 11, the temporary file of central processing unit 11 is deposited automatically Storage is in Memory Controller Hub 13.
2, the broadcasting of TV programme：
Refering to fig. 1, when Digiplex 4 sends out instruction, central processing unit 11, central processing unit 11 are transferred to through communication module 14 After the instruction for receiving Digiplex 4, then to communication module 14 instruction is sent out, order communication module 14 is obtained from remote server 5 It obtains program source and is transferred to graphics processor 12, the processing of graphics processor 12 is completed and then is transferred to communication module 14, by leading to News module 14 is transferred to display module 3 to play.
3, it obtains and recommends programme：
3.1, using collaborative filtering：
Refering to fig. 1, during graphics processor 12 handles programme content, the data such as the type of program, playing duration are received Collect data collection module 151, and be respectively transmitted in weight computation module 152 and memory module 2, first, by weight calculation Module 152 calculates the weighted value of keyword, and works out user and program preferences matrix, and preference matrix is transferred to and was cooperateed with Algoritic module 153 is filtered, goes out to recommend according to weighted value and the similarity calculation of preference matrix data by collaborative filtering module 153 Programme one will recommend programme one to be transmitted to recommending data packet 155 for use.
3.2, using based on content algorithms：
Refering to fig. 1, second, calculating the weighted value of keyword by weight computation module 152, establishment user and program preferences square Battle array, is input to content algorithms module 154, and go out to recommend programme two according to similarity calculation by content algorithms module 154, will push away It recommends programme two and is transmitted to recommending data packet 155.
4, recommend the broadcasting of program：
It refering to fig. 1, will be by the 153 calculated recommendation programme one of collaborative filtering module, and by content algorithms module 154 Calculated recommendation programme two is transmitted to recommending data packet 155, recommending data packet 155 by all recommendation programmes store to Memory module 2, when needing viewing, Digiplex 4 sends out instruction, and communication module 14, which receives, to be instructed and by memory module 2 Programme content returns to communication module 14, is transferred to display module 3 by communication module 14 to play.
5, artificial intelligence automatic screening and recommendation meet the program of user interest type：
5.1, refering to fig. 1, the historical information that program is watched according to user, when graphics processor 12 handles the process of programme content In, by data collections such as the type of program, playing durations to data collection module 151, and it is respectively transmitted to weight computation module 152 and memory module 2 in, obtain based on historical information recommendation program recommending data packet 155.
5.2, refering to fig. 1, the weighted value of keyword is calculated by weight computation module 152, and it is inclined with program to work out user Good matrix, and preference matrix is transferred to collaborative filtering module 153, by collaborative filtering module 153 according to weighted value Go out to meet the recommendation programme one that user watches the custom and preference of program with the similarity calculation of preference matrix data, deposit pushes away Recommend data packet 155；The weighted value that similarity and weight module 152 are calculated by collaborative filtering module 153, is input to content Algoritic module 154, and go out to recommend programme two according to similarity calculation by content algorithms module 154.
5.3, refering to fig. 1, it is obtained and the matched new programme of recommending data packet 155 by remote server 5.
5.4, refering to fig. 1, by the intelligence of display module 3, dynamically show and recommends programme one, recommend programme two and newly The content of programme.
6, the work of intelligent algorithm module：
Refering to fig. 1, intelligent algorithm module 15 of the invention is by data collection module 151, weight computation module 152, collaboration Filter algorithm module 153 is constituted based on content algorithms module 154 and recommending data packet 155, wherein collaborative filtering module It 153 and is combined to form a kind of mixing proposed algorithm based on content algorithms module 154.When user watches TV, data collection Module 151 obtains program category from graphics processor 12, watches frequency and viewing duration, and the when appearance of similar program is cumulative, With certain data structure, by program category, this two item data is stored into memory module 2 with viewing total duration；Weight calculation mould Block 152 then sorts out the program keyword in data collection module 151, and is calculated in existing corpus, obtains every User's program preferences matrix is collectively formed with the viewing program duration recorded in the weight of a keyword；Then using cooperateing with Filter algoritic module 153 calculates user and user's similarity matrix according to user's program preferences matrix, that is, calculates similarity most High N number of user stores the program that they watch duration longest and the user did not watch to recommending data packet 155, or Program and program similarity matrix calculate the highest M program of similarity, will wherein watch duration and the high program of frequency It stores to recommending data packet 155；It will be on the basis of collaborative filtering module 153 be recommended, collaboration based on content algorithms module 154 Filter algorithm module 153 is multiplied by the weight of keyword when calculating the similarity of gained, the high program of similarity is stored to recommendation number According to packet 155；Calculated program recommends user by display module 3 in recommending data packet 155.In the process, artificial intelligence Energy 15 continuous continuous service of algoritic module, intelligent algorithm module 15 will be by constantly collecting data, statistics calculating so as to push away The program recommended is more accurate.

Claims (1)

1. a kind of RTV remote television box based on the study of internet artificial intelligence, which is characterized in that it includes micro operation system （1）, memory module（2）, display module（3）, Digiplex（4）And remote server（5）；The micro operation system（1） By central processing unit（11）, graphics processor（12）, Memory Controller Hub（13）, communication module（14）And intelligent algorithm module （15）It constitutes；Wherein, communication module（14）Respectively with central processing unit（11）, graphics processor（12）Connection, central processing unit （11）With Memory Controller Hub（13）Connection；
The intelligent algorithm module（15）By data collection module（151）, weight computation module（152）, collaborative filtering calculate Method module（153）, be based on content algorithms module（154）And recommending data packet（155）It constitutes；Wherein, data collection module（151） With weight computation module（152）Connection, weight computation module（152）Respectively with collaborative filtering module（153）, be based on content Algoritic module（154）Connection, collaborative filtering module（153）, be based on content algorithms module（154）With recommending data packet （155）Connection, and collaborative filtering module（153）With based on content algorithms module（154）Connection；
The micro operation system（1）Central processing unit（11）, graphics processor（12）Respectively with intelligent algorithm module （15）Data collection module（151）Connection；
The memory module（2）, display module（3）And remote server（5）Respectively with micro operation system（1）Pass through communication Module（14）Connection；In addition, memory module（2）Also with intelligent algorithm module（15）Data collection module（151）Connection, Display module（3）Also with intelligent algorithm module（15）Recommending data packet（155）Connection；
The Digiplex（4）Pass through micro operation system（1）Communication module（14）It is wirelessly connected.
CN201810275698.6A 2018-03-30 2018-03-30 A kind of RTV remote television box based on the study of internet artificial intelligence Pending CN108337544A (en)

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Application Number Priority Date Filing Date Title
CN201810275698.6A CN108337544A (en) 2018-03-30 2018-03-30 A kind of RTV remote television box based on the study of internet artificial intelligence

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210191390A1 (en) * 2019-12-18 2021-06-24 Lg Electronics Inc. User equipment, system, and control method for controlling drone

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CN101287082A (en) * 2008-05-16 2008-10-15 华东师范大学 Collaborative filtered recommendation method introducing hotness degree weight of program
CN101540874A (en) * 2009-04-23 2009-09-23 中山大学 Interactive TV program recommendation method based on collaborative filtration
CN105025372A (en) * 2015-08-07 2015-11-04 成都市斯达鑫辉视讯科技有限公司 Set top box with channel screening function
CN105072471A (en) * 2015-08-07 2015-11-18 成都市斯达鑫辉视讯科技有限公司 Wireless push type set-top box
CN105430505A (en) * 2015-11-13 2016-03-23 云南大学 IPTV program recommending method based on combined strategy

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW200608716A (en) * 2004-08-26 2006-03-01 Mitac Technology Corp TV remote controller for undirected wireless communication and TV system
CN101287082A (en) * 2008-05-16 2008-10-15 华东师范大学 Collaborative filtered recommendation method introducing hotness degree weight of program
CN101540874A (en) * 2009-04-23 2009-09-23 中山大学 Interactive TV program recommendation method based on collaborative filtration
CN105025372A (en) * 2015-08-07 2015-11-04 成都市斯达鑫辉视讯科技有限公司 Set top box with channel screening function
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210191390A1 (en) * 2019-12-18 2021-06-24 Lg Electronics Inc. User equipment, system, and control method for controlling drone
US11579606B2 (en) * 2019-12-18 2023-02-14 Lg Electronics Inc. User equipment, system, and control method for controlling drone

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