WO2006120506A1 - Commande utilisateur assistee dans des dispositifs de recommandation - Google Patents

Commande utilisateur assistee dans des dispositifs de recommandation Download PDF

Info

Publication number
WO2006120506A1
WO2006120506A1 PCT/IB2005/051509 IB2005051509W WO2006120506A1 WO 2006120506 A1 WO2006120506 A1 WO 2006120506A1 IB 2005051509 W IB2005051509 W IB 2005051509W WO 2006120506 A1 WO2006120506 A1 WO 2006120506A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
profile
recommended
profile parameters
television program
Prior art date
Application number
PCT/IB2005/051509
Other languages
English (en)
Inventor
Wilhelmus F. J. Verhaegh
Srinivas V. R. Gutta
Serverius P. P. Pronk
Original Assignee
Koninklijke Philips Electronics N.V.
U.S. Philips Corporation
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 Koninklijke Philips Electronics N.V., U.S. Philips Corporation filed Critical Koninklijke Philips Electronics N.V.
Priority to EP05735747A priority Critical patent/EP1882365A1/fr
Priority to JP2008510653A priority patent/JP2008541593A/ja
Priority to PCT/IB2005/051509 priority patent/WO2006120506A1/fr
Priority to US11/914,027 priority patent/US20080256579A1/en
Publication of WO2006120506A1 publication Critical patent/WO2006120506A1/fr

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing 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
    • H04N21/431Generation of visual interfaces for content selection or interaction; Content or additional data rendering
    • H04N21/4312Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing 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
    • H04N21/431Generation of visual interfaces for content selection or interaction; Content or additional data rendering
    • H04N21/4312Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
    • H04N21/4314Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations for fitting data in a restricted space on the screen, e.g. EPG data in a rectangular grid
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management 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
    • H04N21/4508Management of client data or end-user data
    • H04N21/4532Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management 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
    • H04N21/454Content or additional data filtering, e.g. blocking advertisements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management 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
    • H04N21/466Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/475End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
    • H04N21/4755End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for defining user preferences, e.g. favourite actors or genre
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/475End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
    • H04N21/4756End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for rating content, e.g. scoring a recommended movie
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/482End-user interface for program selection
    • H04N21/4826End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/16Analogue secrecy systems; Analogue subscription systems
    • H04N7/162Authorising the user terminal, e.g. by paying; Registering the use of a subscription channel, e.g. billing
    • H04N7/163Authorising the user terminal, e.g. by paying; Registering the use of a subscription channel, e.g. billing by receiver means only

Definitions

  • the subject invention relates to recommenders for recommending programs for viewing by a user.
  • an explicit recommender a user explicitly inputs his/her preferences for different categories of content. For instance, he/she can indicate that he/she likes action movies very much by giving the genre "action move" a high score, and that he/she dislikes a particular channel by giving it a low (or negative) score. Then, for a new program, the scores of the categories are combined to determine a recommendation score.
  • an implicit recommender the user does not give the feature scores him/herself, but rather, a learning system is used that derives them from training examples (programs that the user has liked or disliked).
  • the main advantage of an explicit recommender is that the user is in full control.
  • the main advantage of an implicit recommender is that the system is easy to use. While an explicit recommender puts the user in full control, it is not particularly clear to the user how changing ratings for the different categories eventually affects which programs are recommended and which ones are not. For instance, if a certain TV show is not recommended, it is not clear which attributes should get a higher rating and how much higher it should be, in order for the show to become recommended.
  • This object is achieved in a method for controlling a program recommender, comprising the steps of: generating and storing profile parameters in various categories concerning a user's likes and dislikes in programming; calculating a rating for a selected program based on said profile parameters in said various categories; determining whether or not said selected program is recommended; calculating a threshold score in each of said various categories above which said selected program would be recommended; displaying whether or not said selected program is recommended, said profile parameters and said threshold scores; enabling said user to adjust at least one of said profile parameters with respect to a respective at least one of said threshold scores in order to change whether said selected program and other similar programs are or are not recommended; and recalculating said rating and said threshold scores in accordance with said at least one adjusted profile parameter.
  • a program recommender comprising means for generating and storing profile parameters in various categories concerning a user's likes and dislikes in programming; means for calculating a rating for a selected program based on said profile parameter in each of said various categories; means for determining whether or not said selected program is recommended; means for calculating a threshold score in each of said various categories above which said selected program would be recommended; means for displaying whether or not said selected program is recommended, said profile parameters and said threshold scores; means for enabling said user to adjust at least one of said profile parameters with respect to a respective at least one of said threshold scores in order to change whether said selected program and other similar programs are or are not recommended; and means for recalculating said rating and said threshold scores in accordance with said at least one adjusted profile parameter.
  • the user is able to directly adjust the stored profile parameters in an intuitive manner such that the desired results are obtained, i.e., that a particular show and similar shows are or are not recommended.
  • said profile parameters and said threshold scores are displayed as respective icons on a bar chart-type graph, wherein the profile parameter icons are moveable by said user, the movement of the profile parameter icons representing new values for said profile parameters.
  • the user is able to directly affect the rating of a particular show and similar shows.
  • Fig. 1 is a block schematic diagram of a television receiver incorporating the invention
  • Fig. 2 is a block diagram of a television program recommender
  • Figs. 3A-3D show illustrations of displays showing the adjusting of the results from the television program recommender; and Fig. 4 shows a flowchart of the method of the invention.
  • Fig. 1 shows a block schematic diagram of a television receiver 100 incorporating the subject invention.
  • the television receiver 100 receives and displays television programs originating from a source.
  • an antenna 110 is shown as the source.
  • the television programs may originate from any of a plurality of sources, e.g., a set-top box, a DVD player, satellite, etc.
  • a tuner 120 is shown connected to the antenna 110 for tuning to a particular channel carrying a desired television program.
  • the tuner 120 supplies audio signals to an audio signal processor 130 which sends corresponding sound signals to a loudspeaker 140.
  • the tuner 120 supplies video signals to a video signal processor 150 which supplies corresponding display signals to a display 160.
  • a controller 170 controls the operation of the tuner 120 as well as the audio and video signal processors 130 and 150.
  • the controller 170 further provides control signals to an on-screen display (OSD) processor 180 which generates an OSD signal for displaying various graphical symbols on the display 160.
  • OSD on-screen display
  • This OSD signal is supplied to a video switch 190 along with the display signals from the video signal processor 150 for superimposing the graphical symbols onto the displayed images represented by the display signals.
  • the television receiver 100 further includes a television program recommender 200 for recommending television programs for the user.
  • the television program recommender 200 may be connected to a database containing information concerning television programs being transmitted or to be transmitted in the future. This is shown in Fig. 1 as a connection to the tuner 120 for receiving meta-data transmitted with the television signals in the form of, for example, an electronic programming guide (EPG).
  • EPG electronic programming guide
  • the television program recommender 200 may be embodied as any computing device, such as a personal computer or workstation containing a processor 202, such as a central processing unit (CPU), and memory 204, such as RAM and/or ROM.
  • the television program recommender 200 may also be embodied as an application specific integrated circuit (ASIC), for example, in a set-top terminal or display (not shown).
  • ASIC application specific integrated circuit
  • the television program recommender 200 may be embodied as any available television program recommender, such as the TIVOTM system, commercially available from Tivo, Inc., of Sunnyvale, CA, or the television program recommenders described in "Method and Apparatus for Recommending Television Programming Using Decision Trees", U.S. Patent Application Serial No.
  • the television program recommender 200 develops profile parameters, stored in memory 204, concerning the viewing habits of a user either implicitly, i.e., by analyzing the television programs viewed by the user and developing the profile parameters, inclusive of television channel, genre, main actors/actresses, time of day, etc., or explicitly, i.e., in response to a user's answers to direct inquiries. In either case, the television program recommender 200 constructs profile parameters in various categories, and uses these profile parameters to calculate ratings for future television programs.
  • the television program recommender 200 is not infallible. There is always the occasion that a television program that the user desires to watch is not recommended, or that a television program the user does not desire to watch is recommended.
  • the subject , invention is directed toward giving the user more direct and intuitive control over modifying the settings of the television program recommender 200.
  • the television program recommender 200 is able to calculate a rating based on the user's profile parameters in various categories stored in the memory 204. If desired by the user, the television program recommender 200 generates a graphical display showing the program title, whether or not it is recommended for the user, as well as the profile parameters in a plurality of categories. As an example, Fig. 3A shows such a display for the movie "Terminator II", starring Arnold Schwarzenegger. Based on the profile parameters of the user, the television program recommender 200 does not recommend this movie for viewing by the user. However, suppose, for instance, that the user finds these types of movies desirable. The question now is how the user can modify the settings of the television program recommender 200 such that it will, in the future, recommend these types of movies.
  • each category e.g., channel, genre, actor, time of day
  • each category includes a profile parameter icon 302, 304, 306, and 308 showing the value of the profile parameter in that category, as well as a respective threshold target level 312,314,316 and 318 calculated for that category at which the program would be recommended.
  • Each of the icons 302-308 are movable by the user to any other position along its respective bar, using, for example, a cursor control (not shown). If the user desires such a movie, then the user selects one of the icons, for example, channel, and moves the profile parameter icon 302 such that it is co-located with the threshold target level 312, where the profile parameter icon is shown as 302' thereby indicating that the program is desired (recommended).
  • the television program recommender 200 then recalculates the remaining threshold levels 314-318 based on the user' s indicated desired rating, and moves the other threshold target levels (314', 316', 318') such that they are also co-located with the remaining profile parameter icons 304-308, as shown in. Fig. 3B.
  • the user may make partial adjustments to multiple profile parameter icons in two or more steps. For example, as shown in Fig. 3C, the user , increases the "channel" profile parameter icon 302 to a position 302' approximately halfway to the threshold target level 312. The television program recommender 200 then adjusts the levels of the remaining threshold target levels to 314', 316', 318'. Then, as shown in Fig.
  • the user may, for example, increase the rating of the "actor" profile parameter icon to 306' co-located with the modified threshold target level 316', and the television program recommender 200 adjusts the other threshold target levels to 312', 314" and 318" such that they are co-located with the profile parameter icons 302', 304 and 308 in the various categories.
  • Fig. 4 shows a flowchart illustrating the method of the invention.
  • the television program recommender 200 From a start 400, at step 402, the television program recommender 200 generates the profile parameters for the user based on either the user's past viewing habits or the user's responses to particular inquiries.
  • the television program recommender 200 stores the profile parameters in memory 204.
  • the CPU 202 calculates threshold target levels in each of the categories of the profile parameters.
  • step 412 the television program recommender 200 displays the rating, the threshold target levels and the profile parameters.
  • step 414 it is checked whether the user has changed any of the profile parameters. If not, the flowchart loops back to the step 406. If so, at step 416, the changed profile parameters are stored in memory 204, and the flowchart loops back to step 408.
  • the user is thus able to adjust the profile parameters of the television program recommender 200 such that it will now recommend at least the types of programs for which the user has indicated a desire to watch.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Human Computer Interaction (AREA)
  • Software Systems (AREA)
  • Computer Security & Cryptography (AREA)
  • Television Systems (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

La présente invention concerne un procédé et un agencement permettant de modifier les réglages d'un dispositif de recommandation de programmes de télévision (200) qui affiche une note (recommandé ou non recommandé) d'un programme de télévision sélectionné et qui affiche aussi des paramètres de profil de l'utilisateur dans un afficheur de type graphe en barres dans lequel la valeur des paramètres de profil de chacune des catégories sont montrées sous forme de position de l'icône de paramètre de profil (302-308), alors que le dispositif de recommandation de programmes de télévision montre aussi des icônes(312-318) représentant de niveau de seuil dans chaque catégorie au-dessus desquels le programme de télévision sélectionné serait recommandé. L'utilisateur peut changer les valeurs des paramètres de profil dans au moins une des catégories en déplaçant l'icône de paramètres de profil concernée (302-308) de sorte que, par exemple, elle atteigne ou dépasse l'icône de niveau de seuil respectif (312-318). Le dispositif de recommandation de programmes de télévision (200) recalcule ensuite la note et les niveaux de seuil afin qu'ils correspondent aux souhaits de l'utilisateur. Ainsi, l'utilisateur est à même de modifier les paramètres de profil du dispositif de recommandation de programmes de télévision (200) de sorte qu'il recommande ou ne recommande pas des programmes conformément aux souhaits de l'utilisateur.
PCT/IB2005/051509 2004-03-29 2005-05-09 Commande utilisateur assistee dans des dispositifs de recommandation WO2006120506A1 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP05735747A EP1882365A1 (fr) 2005-05-09 2005-05-09 Commande utilisateur assistee dans des dispositifs de recommandation
JP2008510653A JP2008541593A (ja) 2005-05-09 2005-05-09 リコメンダーにおける支援されたユーザ制御方法及び装置
PCT/IB2005/051509 WO2006120506A1 (fr) 2005-05-09 2005-05-09 Commande utilisateur assistee dans des dispositifs de recommandation
US11/914,027 US20080256579A1 (en) 2004-03-29 2005-05-09 Assisted User Control in Recommenders

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/IB2005/051509 WO2006120506A1 (fr) 2005-05-09 2005-05-09 Commande utilisateur assistee dans des dispositifs de recommandation

Publications (1)

Publication Number Publication Date
WO2006120506A1 true WO2006120506A1 (fr) 2006-11-16

Family

ID=35355156

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2005/051509 WO2006120506A1 (fr) 2004-03-29 2005-05-09 Commande utilisateur assistee dans des dispositifs de recommandation

Country Status (3)

Country Link
EP (1) EP1882365A1 (fr)
JP (1) JP2008541593A (fr)
WO (1) WO2006120506A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5410344A (en) * 1993-09-22 1995-04-25 Arrowsmith Technologies, Inc. Apparatus and method of selecting video programs based on viewers' preferences
US6005597A (en) 1997-10-27 1999-12-21 Disney Enterprises, Inc. Method and apparatus for program selection
US20020104087A1 (en) 2000-12-05 2002-08-01 Philips Electronics North America Corp. Method and apparatus for selective updating of a user profile
US20020199194A1 (en) * 1999-12-21 2002-12-26 Kamal Ali Intelligent system and methods of recommending media content items based on user preferences
US6851090B1 (en) * 2000-10-30 2005-02-01 Koninklijke Philips Electronics N.V. Method and apparatus for displaying program recommendations with indication of strength of contribution of significant attributes

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5410344A (en) * 1993-09-22 1995-04-25 Arrowsmith Technologies, Inc. Apparatus and method of selecting video programs based on viewers' preferences
US6005597A (en) 1997-10-27 1999-12-21 Disney Enterprises, Inc. Method and apparatus for program selection
US20020199194A1 (en) * 1999-12-21 2002-12-26 Kamal Ali Intelligent system and methods of recommending media content items based on user preferences
US6851090B1 (en) * 2000-10-30 2005-02-01 Koninklijke Philips Electronics N.V. Method and apparatus for displaying program recommendations with indication of strength of contribution of significant attributes
US20020104087A1 (en) 2000-12-05 2002-08-01 Philips Electronics North America Corp. Method and apparatus for selective updating of a user profile

Also Published As

Publication number Publication date
JP2008541593A (ja) 2008-11-20
EP1882365A1 (fr) 2008-01-30

Similar Documents

Publication Publication Date Title
US8122469B2 (en) Assisted user control in recommenders
US20080256579A1 (en) Assisted User Control in Recommenders
KR100891444B1 (ko) 사용자 프로파일의 선택적 갱신을 위한 방법 및 장치
KR100858639B1 (ko) 유사성 메트릭에 기초한 텔레비전 프로그램 추천들을 생성하는 방법 및 장치
US6990635B2 (en) User interface for collecting viewer ratings of media content and facilitating adaption of content recommenders
KR100864186B1 (ko) 텔레비전 프로그램을 추천하는 방법 및 텔레비전 프로그램에 대한 추천을 얻기 위한 시스템
US20020178440A1 (en) Method and apparatus for automatically selecting an alternate item based on user behavior
JP2004516565A (ja) 選択の一貫性に基づいて推奨提案を生成する方法及び装置
US20130332962A1 (en) Electronically communicating media recommendations responsive to preferences for an electronic terminal
KR20120064612A (ko) 멀티미디어 시스템 및 멀티미디어 컨텐츠 추천 방법
JP2005505203A (ja) 同じ時間帯に複数の番組を表示する方法及び装置
EP1188312A2 (fr) Procede et appareil pour afficher des recommandations relatives a un programme de television
JP2006524473A (ja) コンテンツ通知および配信
JP2008525875A (ja) コンテンツを推薦するための方法及び装置
JP2005519535A (ja) ユーザの好みにしたがってプログラム情報を推奨するためのシステム
US11979637B2 (en) Systems and methods for providing content recommendations
US20170280197A1 (en) Information recommend system, information recommend method and non-transitory computer-readable storage medium
EP1882365A1 (fr) Commande utilisateur assistee dans des dispositifs de recommandation
RU2595630C2 (ru) Способ и устройство для выбора по меньшей мере одного медийного элемента
CN101112092A (zh) 推荐器中的辅助用户控制
KR20080007512A (ko) 추천기에서 조력된 사용자 제어
Shi et al. An adaptive preference learning method for future personalized TV

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application
WWE Wipo information: entry into national phase

Ref document number: 2005735747

Country of ref document: EP

WWE Wipo information: entry into national phase

Ref document number: 200580047327.3

Country of ref document: CN

WWE Wipo information: entry into national phase

Ref document number: 2008510653

Country of ref document: JP

WWE Wipo information: entry into national phase

Ref document number: 11914027

Country of ref document: US

NENP Non-entry into the national phase

Ref country code: DE

WWW Wipo information: withdrawn in national office

Ref document number: DE

WWE Wipo information: entry into national phase

Ref document number: 1020077028593

Country of ref document: KR

NENP Non-entry into the national phase

Ref country code: RU

WWW Wipo information: withdrawn in national office

Ref document number: RU

WWP Wipo information: published in national office

Ref document number: 2005735747

Country of ref document: EP