CN107360465A - A kind of method that Intelligent television terminal is drawn a portrait using vocal print generation user - Google Patents
A kind of method that Intelligent television terminal is drawn a portrait using vocal print generation user Download PDFInfo
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- CN107360465A CN107360465A CN201710726315.8A CN201710726315A CN107360465A CN 107360465 A CN107360465 A CN 107360465A CN 201710726315 A CN201710726315 A CN 201710726315A CN 107360465 A CN107360465 A CN 107360465A
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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
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
-
- 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
- H04N21/439—Processing of audio elementary streams
- H04N21/4394—Processing of audio elementary streams involving operations for analysing the audio stream, e.g. detecting features or characteristics in audio streams
-
- 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
A kind of method the invention discloses Intelligent television terminal using vocal print generation user's portrait, its method and step are as follows:The first step, definition form the user behavior label of portrait, and initial weight is assigned to each label;Second step, the audio frequency characteristics according to user behavior, to the vocal print user of different audio frequency characteristics, unique Application on Voiceprint Recognition number is distributed, as customer identification number;3rd step, viewing behavior and vocal print are associated to classification, and press correlation degree, carried out weight calculation, obtain each label score value;4th step, the value with reference to all labels, output is drawn a portrait for the microcosmic user of each viewing terminal, and drawn a portrait for the microcosmic user of the vocal print role of different sexes and age bracket under each viewing terminal, targetedly viewing recommendation is subsequently carried out to each terminal to support.The present invention combines user's viewing behavior and media source library both sides data, is weighted according to behavior generation time distance, and the value output user for combining all labels draws a portrait.
Description
Technical field
The present invention relates to big data analysis technical field, more particularly to a kind of Intelligent television terminal to utilize vocal print generation user
The method of portrait.
Background technology
The birth of intelligent television, allow user to be watched using the mode of TV from single programme televised live, develop into live, point
The various viewing mode such as broadcast, review, watching the flexible and changeable of mode, it is desirable to TV more intelligence and hommization, not only needing pair
The demand of user carries out response promptly and accurately, is seen with greater need for being that user's progress is timely according to the use habit of user with rational
Shadow is recommended, so as to improve user's viewing experience and user satisfaction.
Big data platform gathers and stores user watches live, program request constant pitch purpose behavioral data on TV.Pass through
These data, the behavior to user are analyzed, and then output user draws a portrait, from macroscopic view+microcosmic angle support intelligent television
Function, make TV more clever, the viewing experience and user satisfaction of user can be lifted.
User using Intelligent television terminal as unique identification ID draws a portrait, and when carrying out personalized recommendation, can be carried for user
For more accurately recommendation effect, but due to the use of television terminal be typically in units of family, in one family it is each into
Member, such as male, the viewing of women and children are accustomed to and differed, and user's viewing custom of different age group also respectively has partially
It is good, therefore, it is necessary to according to different using user, the user of each subterminal different sexes and age bracket is carried out more thin
The portrait of cause, more accurate reliable personalized recommendation is carried out, to ensure recommendation effect.
The content of the invention
Part in view of the shortcomings of the prior art, it is an object of the invention to provide a kind of Intelligent television terminal to utilize sound
The method of line generation user's portrait, for the content of each label, with reference to of both user's viewing behavior and media source library
Data, it is weighted according to behavior generation time distance, the value of output label, and the value output user for combining all labels draws
Picture, targetedly viewing recommendation is subsequently carried out to each terminal to support.
The purpose of the present invention is achieved through the following technical solutions:
A kind of method that Intelligent television terminal is drawn a portrait using vocal print generation user, its method and step are as follows:
A, definition forms the user behavior label of user's portrait, assigns initial weight to each user behavior label and stores
In hive data warehouses;
B, obtain carrying the user of user's voice print database by ETL process instrument from the behavioral data of all terminal users
Behavioral data, the ETL process instrument include data pick-up, conversion, loading process, the ETL process instrument be responsible for complete from
Data source extracts required data, by data cleansing, finally according to the data warehouse model pre-defined, the data
ETL instruments are loaded data into hive data warehouses;
C, behavioral data is further sub-divided under each Intelligent television terminal according to the sex of vocal print and age segment information
Vocal print child user, according to its viewing behavior and media source library data, output is for vocal print and user's row of vocal print child user
For the value of label;
D, drawn a portrait with reference to the value of all labels of step C, output for the microcosmic user of each viewing terminal, and for every
The microcosmic user portrait of the vocal print role of different sexes and age bracket, is subsequently carried out with supporting to each terminal under individual viewing terminal
Targetedly viewing is recommended.
The label of user behavior label in preferred steps A of the present invention includes user's viewing period, user watches video display
The variety show that star, the user that classification, user like like, assign the initial value of each label of user behavior label.
Preferred steps B of the present invention ETL process instrument distributes unique vocal print to the vocal print user of different audio frequency characteristics to be known
Alias, the Application on Voiceprint Recognition number are used as customer identification number;Behavioral data, voice print database, basis are classified as according to the attribute of data
Data three parts, three parts data are stored in hive data warehouses in table form.
A kind of method that Intelligent television terminal is drawn a portrait using vocal print generation user, its method and step are as follows:
The first step, definition form the user behavior label of portrait, and initial weight is assigned to each label;
Second step, the audio frequency characteristics according to user behavior, to the vocal print user of different audio frequency characteristics, distribute unique vocal print
Identifier, as customer identification number;
3rd step, viewing behavior and vocal print are associated to classification, and press correlation degree, carry out weight calculation, obtained each
Label score value;
4th step, the value with reference to all labels, output are drawn a portrait for the microcosmic user of each viewing terminal, and for every
The microcosmic user portrait of the vocal print role of different sexes and age bracket, is subsequently carried out with supporting to each terminal under individual viewing terminal
Targetedly viewing is recommended.
The present invention compared with the prior art, has advantages below and beneficial effect:
The present invention is directed to the content of each label, the data with reference to of both user's viewing behavior and media source library, root
It is weighted according to behavior generation time distance, the value of output label, and the value output user for combining all labels draws a portrait, with support
Subsequently targetedly viewing is carried out to each terminal to recommend.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the present invention.
Embodiment
The present invention is described in further detail with reference to embodiment:
Embodiment one
As shown in figure 1, a kind of method of Intelligent television terminal using vocal print generation user's portrait, its method and step are as follows:
A, definition forms the user behavior label of user's portrait, assigns initial weight to each user behavior label and stores
In hive data warehouses;The label of user behavior label in step A includes user's viewing period, user watches video display point
The variety show that star that class, user like, user like, assign the initial value of each label of user behavior label.
B, obtain carrying the user of user's voice print database by ETL process instrument from the behavioral data of all terminal users
Behavioral data, the ETL process instrument include data pick-up, conversion, loading process, the ETL process instrument be responsible for complete from
Data source extracts required data, by data cleansing, finally according to the data warehouse model pre-defined, the data
ETL instruments are loaded data into hive data warehouses;Vocal print user of the step B ETL process instrument to different audio frequency characteristics
Unique Application on Voiceprint Recognition number is distributed, the Application on Voiceprint Recognition number is used as customer identification number;Behavior number is classified as according to the attribute of data
According to, voice print database, basic data three parts, three parts data are stored in hive data warehouses in table form.
C, behavioral data is further sub-divided under each Intelligent television terminal according to the sex of vocal print and age segment information
Vocal print child user, according to its viewing behavior and media source library data, output is for vocal print and user's row of vocal print child user
For the value of label;
D, drawn a portrait with reference to the value of all labels of step C, output for the microcosmic user of each viewing terminal, and for every
The microcosmic user portrait of the vocal print role of different sexes and age bracket, is subsequently carried out with supporting to each terminal under individual viewing terminal
Targetedly viewing is recommended.
Embodiment two
As shown in figure 1, a kind of Intelligent television terminal is returned Intelligent television terminal using the method for vocal print generation user's portrait
The user behavior data of biography is stored in hive data warehouses, and viewing when user uses TV is extracted using ETL process instrument
Record data, and the voice print identification in data splits data into vocal print correlation and the unrelated behavioral data two parts of vocal print.
The first step, definition form the user behavior label of portrait and assign initial value
The portrait of the user based on vocal print of the application output is mainly used in supporting follow-up Intelligent television terminal to be used according to vocal print
Family portrait carries out video display recommendation for user, therefore when definition forms the label of user's portrait, scope is focused on:User
Variety show that star, the user that viewing period, user watch video display classification, user likes like etc..Assigned to each label
Give initial weight.The set of these labels, form tag database.
Second step, vocal print corelation behaviour data are obtained by ETL process instrument.
In the behavioral data of user, vocal print related data comes from the voice collecting function of television terminal.Current intelligence
TV carries phonetic function mostly, the audio frequency characteristics reported during according to user using phonetic function, can analyze to obtain the property of user
Not (man, female) and age bracket (juvenile, young, middle age, old age), to the vocal print user of different audio frequency characteristics, distribute unique sound
Line identifier, as customer identification number.User uses phonetic function, generally can be divided into two kinds of behaviors:A kind of is manipulation TV
Basis instrument, such as volume plus-minus, brightness adjustment;Another kind is that manipulation TV carries out viewing behavior, as phonetic entry title is entered
Row program request etc..
The data that television terminal reports, the data formatted are resolvable to, are stored in hive data bins in table form
In storehouse.According to the attribute of data, behavioral data, voice print database, basic data three parts can be classified as, wherein:
1. the data of record television terminal concrete operations action are behavioral datas, such as " on/off ", " home court scape is clicked on
In some poster ", the data such as " using phonetic search ";
2. the data for recording the Back ground Information of the television terminal are basic datas, such as " MAC Address ", " TV bar code ", " electricity
Depending on movement model " etc. data;
3. the data reported when user is using phonetic function, also comprising voice print database, include " vocal print analysis result text
Originally ", the data such as " vocal print analysis result ".
The each data row formed to three of the above data is traveled through, and data pick-up is carried out by following rule:
1. user carries out program request using phonetic entry title, such a behavior can enter user's vocal print and user's program request behavior
The strong association of row.
Shown as in the data stored in hive data warehouses:Behavioral data A (playing speech on demand behavioral datas+vocal print number
According to+include the basic data of MAC Address), using hql sentences, this partial data is filtered out from hive data warehouses, and store
Into a voice print database middle table, middle table is another newly-increased one in addition to storing the field got from former data
Relation fields, are entered as high, identify the relevance degree of strength of such a data and vocal print.
2. user is searched for generally using voice, and be have selected film in the result set searched for generally and is played out,
User's vocal print and user's program request behavior can be carried out common association by such a behavior.
Shown as in the data stored in hive data warehouses:Behavioral data A (phonetic search behavioral datas+vocal print number
According to+the basic data that includes MAC Address)+and behavioral data B (program request behavioral data+basic data for including MAC Address), TV
Terminal-pair is searched for every time assigns a unique ID, passes through MAC Address and this Searching I D between behavioral data A and behavioral data B
Value be associated.Using hql sentences, will be taken out from hive data warehouses after this two parts data correlation, by B. program request rows
A new data row C is combined into for the data+B. basic data+A. voice print databases for including MAC Address, voice print database is arrived in storage
In middle table, the newly-increased relation fields of middle table are entered as middle.
3. user uses the speech control basis instrument of TV, and (such as 5min) enters in the range of certain time afterwards
Program request behavior is gone, user's vocal print and user's program request behavior can be carried out weak rigidity by such a behavior.
Shown as in the data stored in hive data warehouses:(speech basic sets behavioral data+sound to behavioral data A
The basic data for line data+include MAC Address)+behavioral data B (program request behavioral data+basic data for including MAC Address),
For each different MAC Address, B. behavior time of origin-A. behavior time of origins are taken<The data of=5 minutes, as with A.
The associated program request behavioral data of voice print database.Using hql sentences, by after this two parts data correlation from hive data warehouses
Take out, the B. program request behavioral datas+B. basic data+A. voice print databases for including MAC Address are combined into a new data row
C, store in voice print database middle table, the newly-increased relation fields of middle table are entered as low.
Three steps more than, from substantial amounts of user behavior data, after deleting dirty data, by more than caused by 3 kinds of situations
User behavior data extracts, and stores in voice print database middle table, you can carries out the label score value meter of vocal print related data
Calculate.
3rd step, each label score drawn a portrait according to vocal print corelation behaviour output vocal print user
In second step, the vocal print corelation behaviour data after having been cleaned.According to the label defined in the first step, with reference to
User behavior data, and media source library data, for score value corresponding to the generation of each label.According to second step viewing behavioral data
With the processing for associating power, 3 kinds of data being done to different weights of user's vocal print, to control every kind of viewing behavioral data to obtain label
The influence divided.
Corresponding with 3 kinds of behavioral datas in second step, following rule are pressed in influence of every kind of behavioral data to label score
Then handle:
1. have a great influence (relation=high):User carries out program request using phonetic entry title.
2. influence medium (relation=middle):User is searched for generally using voice, and is being searched for generally
Film is have selected in result set to play out.
3. influence smaller (relation=low):User uses the speech control basis instrument of TV, and afterwards
The program request behavior that (such as 5min) is carried out in the range of certain time.
The influence value of 3 kinds of behavioral datas is digitized as weight by more than, that is, obtains label score vnCalculation formula:
vn=λ1Fn1+λ2Fn2+λ3Fn3
Wherein, Fn1To Fn3It is the basic score value that three of the above behavioral data is calculated, λ1To λ3It is various pieces respectively
Weight coefficient, weight coefficient span be 0~1, according to the influence power size of behavior determine, influence power is bigger, then weight
Coefficient is higher.
4th step, label value integrated, obtain user's portrait based on vocal print.
All labels that score value is more than threshold value are chosen, by the beginning of the score for the label chosen, with the label defined in the first step
Beginning weighted value is multiplied, you can obtains user's portrait based on vocal print.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement made within refreshing and principle etc., should be included in the scope of the protection.
Claims (3)
1. a kind of Intelligent television terminal utilizes the method for vocal print generation user's portrait, it is characterised in that:Its method and step is as follows:
A, definition forms the user behavior label of user's portrait, assigns initial weight to each user behavior label and is stored in
In hive data warehouses;
B, obtain carrying the user behavior of user's voice print database by ETL process instrument from the behavioral data of all terminal users
Data, the ETL process instrument include data pick-up, conversion, loading process, and the ETL process instrument is responsible for completing from data
Source extracts required data, by data cleansing, finally according to the data warehouse model pre-defined, the ETL process
Instrument is loaded data into hive data warehouses;
C, the sound being further sub-divided into behavioral data according to the sex of vocal print and age segment information under each Intelligent television terminal
Line child user, according to its viewing behavior and media source library data, output is for vocal print and the user behavior mark of vocal print child user
The value of label;
D, drawn a portrait with reference to the value of all labels of step C, output for the microcosmic user of each viewing terminal, and for each sight
The microcosmic user portrait of the vocal print role of different sexes and age bracket, is subsequently directed to support to each terminal under shadow terminal
Property viewing recommend.
2. existed according to a kind of Intelligent television terminal described in claim 1 using the method for vocal print generation user's portrait, its feature
In:The label of user behavior label in the step A includes user's viewing period, user watches video display classification, Yong Huxi
The variety show that star, the user of love like, assign the initial value of each label of user behavior label.
3. existed according to a kind of Intelligent television terminal described in claim 1 using the method for vocal print generation user's portrait, its feature
In:The ETL process instrument of the step B distributes unique Application on Voiceprint Recognition number, the vocal print to the vocal print user of different audio frequency characteristics
Identifier is as customer identification number;Behavioral data, voice print database, basic data three parts are classified as according to the attribute of data,
Three parts data are stored in hive data warehouses in table form.
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CN109086318A (en) * | 2018-06-28 | 2018-12-25 | 深圳市彬讯科技有限公司 | The definition method and apparatus of user's portrait template |
CN109636481A (en) * | 2018-12-19 | 2019-04-16 | 未来电视有限公司 | User's portrait construction method and device towards domestic consumer |
CN111601167A (en) * | 2020-05-21 | 2020-08-28 | 广州欢网科技有限责任公司 | Method and platform for accurately positioning television program audience |
CN112188287A (en) * | 2020-10-14 | 2021-01-05 | 广州欢网科技有限责任公司 | Method, system and equipment for identifying film viewing subject |
CN112233660A (en) * | 2020-10-14 | 2021-01-15 | 广州欢网科技有限责任公司 | User portrait expansion method, device, controller and user portrait acquisition system |
CN112653908A (en) * | 2020-12-21 | 2021-04-13 | 四川长虹电器股份有限公司 | Intelligent television media asset real-time recommendation method |
CN113852864A (en) * | 2021-06-17 | 2021-12-28 | 天翼智慧家庭科技有限公司 | User customized service recommendation method and system for IPTV terminal application |
CN114780855A (en) * | 2022-05-05 | 2022-07-22 | 穗保(广州)科技有限公司 | Information sharing system based on Internet security |
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CN109086318A (en) * | 2018-06-28 | 2018-12-25 | 深圳市彬讯科技有限公司 | The definition method and apparatus of user's portrait template |
CN109636481A (en) * | 2018-12-19 | 2019-04-16 | 未来电视有限公司 | User's portrait construction method and device towards domestic consumer |
CN111601167A (en) * | 2020-05-21 | 2020-08-28 | 广州欢网科技有限责任公司 | Method and platform for accurately positioning television program audience |
CN112188287A (en) * | 2020-10-14 | 2021-01-05 | 广州欢网科技有限责任公司 | Method, system and equipment for identifying film viewing subject |
CN112233660A (en) * | 2020-10-14 | 2021-01-15 | 广州欢网科技有限责任公司 | User portrait expansion method, device, controller and user portrait acquisition system |
CN112653908A (en) * | 2020-12-21 | 2021-04-13 | 四川长虹电器股份有限公司 | Intelligent television media asset real-time recommendation method |
CN112653908B (en) * | 2020-12-21 | 2022-02-01 | 四川长虹电器股份有限公司 | Intelligent television media asset real-time recommendation method |
CN113852864A (en) * | 2021-06-17 | 2021-12-28 | 天翼智慧家庭科技有限公司 | User customized service recommendation method and system for IPTV terminal application |
CN114780855A (en) * | 2022-05-05 | 2022-07-22 | 穗保(广州)科技有限公司 | Information sharing system based on Internet security |
CN114780855B (en) * | 2022-05-05 | 2022-11-25 | 穗保(广州)科技有限公司 | Information sharing system based on Internet security |
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Application publication date: 20171117 |