EP1325628A2 - Presentation d'une distribution visuelle d'indices de recommandation relatifs a des programmes televises - Google Patents

Presentation d'une distribution visuelle d'indices de recommandation relatifs a des programmes televises

Info

Publication number
EP1325628A2
EP1325628A2 EP01976201A EP01976201A EP1325628A2 EP 1325628 A2 EP1325628 A2 EP 1325628A2 EP 01976201 A EP01976201 A EP 01976201A EP 01976201 A EP01976201 A EP 01976201A EP 1325628 A2 EP1325628 A2 EP 1325628A2
Authority
EP
European Patent Office
Prior art keywords
programs
recommendation score
score ranges
recommendation
available
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.)
Withdrawn
Application number
EP01976201A
Other languages
German (de)
English (en)
Inventor
Srinivas Gutta
Kwok P. Lee
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips Electronics NV
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 NV filed Critical Koninklijke Philips Electronics NV
Publication of EP1325628A2 publication Critical patent/EP1325628A2/fr
Withdrawn legal-status Critical Current

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
    • H04HBROADCAST COMMUNICATION
    • H04H60/00Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/35Arrangements for identifying or recognising characteristics with a direct linkage to broadcast information or to broadcast space-time, e.g. for identifying broadcast stations or for identifying users
    • H04H60/46Arrangements for identifying or recognising characteristics with a direct linkage to broadcast information or to broadcast space-time, e.g. for identifying broadcast stations or for identifying users for recognising users' 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
    • H04N21/43Processing 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
    • 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
    • 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
    • H04N21/4821End-user interface for program selection using a grid, e.g. sorted out by channel and broadcast time
    • 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

Definitions

  • the present invention relates to television program recommenders, and more particularly, to a method and apparatus for presenting a visual distribution of television program recommendation scores.
  • EPGs electronic program guides
  • EPGs allow viewers to identify desirable programs more efficiently than conventional printed guides, they suffer from a number of limitations, which if overcome, could further enhance the ability of viewers to identify desirable programs. For example, many viewers have a particular preference towards, or bias against, certain categories of programming, such as action-based programs or sports programming. Thus, the viewer preferences can be applied to the EPG to obtain a set of recommended programs that may be of interest to a particular viewer.
  • the TivoTM system for example, commercially available from Tivo, Inc., of Sunnyvale, California, allows viewers to rate shows using a "Thumbs Up and Thumbs Down" feature and thereby indicate programs that the viewer likes and dislikes, respectively. Thereafter, the TiNo receiver matches the recorded viewer preferences with received program data, such as an EPG, to make recommendations tailored to each viewer.
  • program data such as an EPG
  • tools for recommending television programming provide selections of programs that a viewer might like.
  • conventional television program recommenders present ranked programs in a grid format.
  • the numerical recommendation scores associated with each program can be displayed with each program directly or can be mapped onto a color spectrum or another visual cue, such as a variable size-of-text or rate of blinking, that permits the user to quickly locate programs of interest. Nonetheless, it remains difficult for the viewer to get a concise picture of the recommended programs.
  • a further need exists for a method and apparatus for displaying television program recommendations in a manner that clusters programs based on their program recommendation scores.
  • a method and apparatus for displaying available television programs using an indication of the visual distribution of recommendation scores assigned to each program by a television programming recommender.
  • the visual distribution of recommendation scores can be presented to the user using a number of illustrative display formats.
  • the invention provides an indication of the number of television programs in each score range for a given time interval.
  • the available programs are clustered based on their program recommendation scores.
  • the invention allows a user to quickly identify time periods when there are a higher number of programs within a given program recommendation score range.
  • the present invention defines four distinct score ranges (90-100, 80-90, 70- 80 and 60-70) and indicates the number of programs in a given time interval having a recommendation score in each score range.
  • the visual presentation of the recommendation score distribution can be further improved by assigning a color to each score range.
  • the intensity (or saturation) of the color associated with a score range can be varied to indicate the corresponding number of programs having a recommendation score in the corresponding score range.
  • FIG. 1 illustrates a television programming recommender in accordance with the present invention
  • FIG. 2 illustrates a sample table from the program database of FIG. 1;
  • FIGS. 3 A through 3B provide a number of illustrative presentation formats for presenting the recommendation score distributions in a convenient manner in accordance with the present invention.
  • FIG. 1 illustrates a television programming recommender 100 in accordance with the present invention.
  • the television programming recommender 100 evaluates each of the programs in an electronic programming guide (EPG) 110 to identify programs of interest to a particular user.
  • EPG electronic programming guide
  • the set of recommended programs can be presented to the user using a set-top terminal/television 150, for example, using well known on-screen presentation techniques.
  • the available programs are clustered based on their program recommendation scores.
  • the present invention displays television program recommendations in a summary manner indicating the visual distribution of program recommendation scores.
  • the present invention allows a user to quickly identify time periods when there are a higher number of programs within a given program recommendation score range.
  • the present invention allows a user to determine, for example, when it is most worthwhile to watch television, as opposed to doing other potential activities.
  • the present invention provides an indication of the number of television programs in each score range for a given time interval.
  • the present invention defines four distinct score ranges, namely, a first score range associated with the most highly recommended programs having recommendation scores between 90 and 100, a second score range for programs having scores between 80 and 90; a third score range for programs having scores between 70 and 80, and a fourth score range for programs having scores between 60 and 70.
  • each score range can be assigned a corresponding color as follows:
  • a given color corresponds to a given score range.
  • the intensity (or saturation) of the color associated with a score range can be varied in a linear manner to indicate the corresponding number of programs having a recommendation score in the corresponding score range.
  • a number of illustrative presentation formats are disclosed for presenting the recommendation score distributions in a convenient manner.
  • the television programming recommender 100 contains a program database 200, discussed further below in conjunction with FIG. 2, and a display recommendation process 300, discussed further below in conjunction with FIG. 3.
  • the program database 200 records information for each program that is available in a given time interval.
  • the display recommendation process 300 evaluates the program recommendation scores for a set of programs and provides an indication of the number of television programs in each score range for a given time interval.
  • the television program recommender 100 may be embodied as any computing device, such as a personal computer or workstation, that contains a processor, such as a central processing unit (CPU), and memory, such as RAM and ROM.
  • the television programming recommender 100 may be embodied as any available television program recommender, such as the TivoTM system, commercially available from Tivo, Inc., of Sunnyvale, California, or the television program recommenders described in the non- prepublished United States Patent Application Serial No. 09/466,406, filed December 17, 1999, entitled “Method and Apparatus for Recommending Television Programming Using Decision Trees," (Attorney's Docket No. PHA 23.902) and the non-prepublished United States Patent Application Serial No.
  • FIG. 2 is a sample table from the program database 200 of FIG. 1 that records information for each program that is available in a given time interval.
  • the program database 200 contains a plurality of records, such as records 205 through 220, each associated with a given program.
  • the program database 200 indicates the date/time and channel associated with the program in fields 240 and 245, respectively.
  • the title and genre for each program are identified in fields 250 and 255.
  • Additional well-known attributes such as actors, duration, and description of the program, can also be included in the program database 200.
  • the program database 200 also records an indication of the recommendation score assigned to each program by the television programming recommender 100 in field 270.
  • the numerical scores can be displayed to the user in a summary manner, with an indication of the number of television programs in each score range for a given time interval.
  • the display recommendation process 300 initially obtains the electronic program guide (EPG) 110 for the time period of interest.
  • EPG electronic program guide
  • the display recommendation process obtains the recommendation score from the recommender 100 for each available program in the time period of interest.
  • the display recommendation process 300 then optionally maps the recommendation score to a desired visual cue, such as color or size-of-text.
  • programs having a recommendation score in each score range are identified.
  • the display recommendation process 300 increases the intensity (or saturation) of the corresponding color or gray-scale for each score range based upon the number of programs having a recommendation score within the score range.
  • the present invention provides a number of illustrative presentation formats for presenting the recommendation score distributions in a convenient manner. For example, each score range can be mapped to a given color and the intensity (or saturation) of the color can be varied in accordance with the number of programs in a given time interval having a recommendation score in that range.
  • FIG. 3 A shows a variable gray-scale presentation of recommendation score summaries for a 12-hour period covering noon to midnight.
  • the display 400 is similar to an analog clock face.
  • the face 410 is divided into four rings 411-414.
  • the outermost ring 411 is associated with a first score range for the most highly recommended programs having recommendation scores between 90 and 100.
  • the second ring 412 is associated with a second score range for programs having scores between 80 and 90.
  • the third ring 413 is associated with a third score range for programs having scores between 70 and 80.
  • the fourth ring 414 is associated with a fourth score range for programs having scores between 60 and 70.
  • variable gray-scale intensity is used to indicate the number of programs falling within the corresponding score range.
  • maximum intensity can indicate ten or more programs falling with a given score range.
  • the intensity can be reduced in a linear manner to indicate fewer than 10 programs in a given score range, down to a minimum value of zero intensity.
  • the time period 11 p.m. to midnight has a maximum intensity indicating that there are at least 10 highly recommended shows.
  • the color white (minimum intensity) in the period noon to 1 p.m. indicates that there are no highly recommended programs in that time period.
  • FIG. 3B illustrates an alternate variable gray-scale presentation of recommendation score summaries for a 12-hour period covering noon to midnight, in rectangular boxes.
  • the recommendation summary 420 includes four boxes 421-424.
  • the top-most box 421 is associated with a first score range for the most highly recommended programs having recommendation scores between 90 and 100.
  • the second box 422 is associated with a second score range for programs having scores between 80 and 90.
  • the third box 423 is associated with a third score range for programs having scores between 70 and 80.
  • the fourth box 424 is associated with a fourth score range for programs having scores between 60 and 70.
  • a variable gray-scale intensity can be used in each box to indicate the number of programs falling within the corresponding score range.
  • a color implementation of the rectangular presentation shown in FIG. 3B, with a different color assigned to each score range, can be implemented as follows:
  • intensity is used to indicate the number of programs falling within the range.
  • maximum intensity or saturation
  • intensity (or saturation) can indicate ten or more programs falling with a given score range.
  • the intensity (or saturation) can be reduced in a linear manner to indicate fewer than 10 programs in a given score range, down to a minimum value of zero intensity (white).
  • the time period 11 p.m. to midnight is a bright red (full saturation), indicating that there are at least 10 highly recommended programs.
  • the color white (zero saturation) in the top-box for the period noon to 1 p.m. indicates that there are no highly recommended programs in that period.
  • the high (but not maximum) red color saturation indicates a significant number of highly recommended programs
  • the bright yellow indicates a large number of programs with scores in the range 80-90.
  • RGB red, green, blue
  • HSN hue, saturation, value
  • the user can optionally "click" on any score range for any time interval, to obtain” a listing of each of the corresponding programs having a recommendation score in the given score range for the indicated time interval.

Abstract

L'invention concerne un procédé et un appareil pour afficher la distribution visuelle d'indices de recommandation affectés à chaque programme télévisé par un système de recommandation de programmes télévisés. Cette distribution visuelle des indices de recommandation peut être présentée à l'utilisateur à l'aide d'un nombre de formats d'affichage à titre d'exemple. Selon l'invention, un nombre de plages d'indices est défini et le nombre de programmes télévisés est indiqué dans chaque plage d'indices pour une période donnée. Ainsi, les programmes disponibles sont regroupés en fonction de leurs indices de recommandation de programmes. En outre, la présentation visuelle de la distribution des indices de recommandation peut être encore améliorée grâce à l'affectation d'une couleur à chaque plage d'indices. Ainsi, pour une période donnée, on peut modifier l'intensité (ou la saturation) de la couleur associée à une plage d'indices pour indiquer le nombre correspondant de programmes présentant un indice de recommandation dans la plage d'indices correspondante.
EP01976201A 2000-09-20 2001-09-06 Presentation d'une distribution visuelle d'indices de recommandation relatifs a des programmes televises Withdrawn EP1325628A2 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US66639900A 2000-09-20 2000-09-20
US666399 2000-09-20
PCT/EP2001/010335 WO2002025937A2 (fr) 2000-09-20 2001-09-06 Presentation d'une distribution visuelle d'indices de recommandation relatifs a des programmes televisues

Publications (1)

Publication Number Publication Date
EP1325628A2 true EP1325628A2 (fr) 2003-07-09

Family

ID=24674010

Family Applications (1)

Application Number Title Priority Date Filing Date
EP01976201A Withdrawn EP1325628A2 (fr) 2000-09-20 2001-09-06 Presentation d'une distribution visuelle d'indices de recommandation relatifs a des programmes televises

Country Status (4)

Country Link
EP (1) EP1325628A2 (fr)
JP (1) JP2004509576A (fr)
KR (1) KR20020056924A (fr)
WO (1) WO2002025937A2 (fr)

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US7783512B2 (en) 2003-05-28 2010-08-24 Gross John N Method of evaluating learning rate of recommender systems
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CN111246257A (zh) * 2020-03-17 2020-06-05 百度在线网络技术(北京)有限公司 视频推荐方法、装置、设备及存储介质
CN111246257B (zh) * 2020-03-17 2022-07-26 百度在线网络技术(北京)有限公司 视频推荐方法、装置、设备及存储介质

Also Published As

Publication number Publication date
JP2004509576A (ja) 2004-03-25
WO2002025937A2 (fr) 2002-03-28
WO2002025937A3 (fr) 2002-06-13
KR20020056924A (ko) 2002-07-10

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