WO2002100103A3 - Expert model recommendation method and system - Google Patents

Expert model recommendation method and system Download PDF

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Publication number
WO2002100103A3
WO2002100103A3 PCT/IB2002/001994 IB0201994W WO02100103A3 WO 2002100103 A3 WO2002100103 A3 WO 2002100103A3 IB 0201994 W IB0201994 W IB 0201994W WO 02100103 A3 WO02100103 A3 WO 02100103A3
Authority
WO
WIPO (PCT)
Prior art keywords
program
record
recommendation
recommendation method
expert model
Prior art date
Application number
PCT/IB2002/001994
Other languages
French (fr)
Other versions
WO2002100103A2 (en
Inventor
Srinivas V R Gutta
Kaushal Kupapati
James D Schaffer
Original Assignee
Koninkl 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 Koninkl Philips Electronics Nv filed Critical Koninkl Philips Electronics Nv
Priority to KR10-2003-7001721A priority Critical patent/KR20030022884A/en
Priority to EP02735702A priority patent/EP1402730A2/en
Priority to JP2003501945A priority patent/JP4355569B2/en
Publication of WO2002100103A2 publication Critical patent/WO2002100103A2/en
Publication of WO2002100103A3 publication Critical patent/WO2002100103A3/en

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
    • H04N21/45Management 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
    • H04N21/4662Learning process for intelligent management, e.g. learning user preferences for recommending movies characterized by learning algorithms
    • H04N21/4665Learning process for intelligent management, e.g. learning user preferences for recommending movies characterized by learning algorithms involving classification methods, e.g. Decision trees
    • 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
    • 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
    • H04N21/41Structure of client; Structure of client peripherals
    • H04N21/414Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
    • H04N21/4147PVR [Personal Video Recorder]
    • 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]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/84Generation or processing of descriptive data, e.g. content descriptors
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/16Analogue secrecy systems; Analogue subscription systems

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Debugging And Monitoring (AREA)
  • Stored Programmes (AREA)

Abstract

A program recommendation system (30) employing a plurality of classifier modules (36, 37) is disclosed. In response to a reception of a record (17) correspond to a program, a classifier module correlated to a programming category indicated by the record as corresponding to the program will generate a recommendation of the program or each classifier module generates a recommendation of the program when the record fails to indicate a programming category corresponding to the program. When multiple recommendations are generated, a program record module (35) of the system (30) ranks the recommendations and utilizes the highest rank recommendation for the program.
PCT/IB2002/001994 2001-06-06 2002-06-03 Expert model recommendation method and system WO2002100103A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
KR10-2003-7001721A KR20030022884A (en) 2001-06-06 2002-06-03 Expert model recommendation method and system
EP02735702A EP1402730A2 (en) 2001-06-06 2002-06-03 Expert model recommendation method and system
JP2003501945A JP4355569B2 (en) 2001-06-06 2002-06-03 Expert model recommendation method and system

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US09/875,403 US20020194602A1 (en) 2001-06-06 2001-06-06 Expert model recommendation method and system
US09/875,403 2001-06-06

Publications (2)

Publication Number Publication Date
WO2002100103A2 WO2002100103A2 (en) 2002-12-12
WO2002100103A3 true WO2002100103A3 (en) 2003-10-16

Family

ID=25365740

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2002/001994 WO2002100103A2 (en) 2001-06-06 2002-06-03 Expert model recommendation method and system

Country Status (6)

Country Link
US (1) US20020194602A1 (en)
EP (1) EP1402730A2 (en)
JP (1) JP4355569B2 (en)
KR (1) KR20030022884A (en)
CN (1) CN1250004C (en)
WO (1) WO2002100103A2 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8495081B2 (en) * 2009-12-14 2013-07-23 International Business Machines Corporation Method, system and computer program product for federating tags across multiple systems
KR20150122162A (en) * 2013-03-04 2015-10-30 톰슨 라이센싱 A method and system for privacy preserving counting
CN109963175B (en) * 2019-01-29 2020-12-15 中国人民解放军战略支援部队信息工程大学 Television product accurate recommendation method and system based on explicit and implicit potential factor model

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000063837A1 (en) * 1999-04-20 2000-10-26 Textwise, Llc System for retrieving multimedia information from the internet using multiple evolving intelligent agents

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US5469206A (en) * 1992-05-27 1995-11-21 Philips Electronics North America Corporation System and method for automatically correlating user preferences with electronic shopping information
EP0920207B2 (en) * 1992-12-09 2006-09-27 Sedna Patent Services, LLC Interactive terminal for television delivery system
US5798785A (en) * 1992-12-09 1998-08-25 Discovery Communications, Inc. Terminal for suggesting programs offered on a television program delivery system
JP3500741B2 (en) * 1994-03-01 2004-02-23 ソニー株式会社 Channel selection method and channel selection device for television broadcasting
US6177931B1 (en) * 1996-12-19 2001-01-23 Index Systems, Inc. Systems and methods for displaying and recording control interface with television programs, video, advertising information and program scheduling information
US6064980A (en) * 1998-03-17 2000-05-16 Amazon.Com, Inc. System and methods for collaborative recommendations
JP2000013708A (en) * 1998-06-26 2000-01-14 Hitachi Ltd Program selection aiding device
JP3579263B2 (en) * 1998-09-30 2004-10-20 株式会社東芝 Program data selection method and program viewing system
JP4465560B2 (en) * 1998-11-20 2010-05-19 ソニー株式会社 Information display control device and information display control method for information display control device
US6628302B2 (en) * 1998-11-30 2003-09-30 Microsoft Corporation Interactive video programming methods
US6457010B1 (en) * 1998-12-03 2002-09-24 Expanse Networks, Inc. Client-server based subscriber characterization system
JP2000287189A (en) * 1999-03-31 2000-10-13 Toshiba Corp View management system for television program
US6549929B1 (en) * 1999-06-02 2003-04-15 Gateway, Inc. Intelligent scheduled recording and program reminders for recurring events
AU6310500A (en) * 1999-08-20 2001-03-19 Singularis S.A. Method and apparatus for creating recommendations from users profile built interactively
JP2003513553A (en) * 1999-11-05 2003-04-08 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ How to fuse media for information sources
US6727914B1 (en) * 1999-12-17 2004-04-27 Koninklijke Philips Electronics N.V. Method and apparatus for recommending television programming using decision trees
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Patent Citations (1)

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Publication number Priority date Publication date Assignee Title
WO2000063837A1 (en) * 1999-04-20 2000-10-26 Textwise, Llc System for retrieving multimedia information from the internet using multiple evolving intelligent agents

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
FISK D: "AN APPLICATION OF SOCIAL FILTERING TO MOVIE RECOMMENDATION", BT TECHNOLOGY JOURNAL, BT LABORATORIES, GB, vol. 14, no. 4, 1 October 1996 (1996-10-01), pages 124 - 132, XP000635340, ISSN: 1358-3948 *
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GUTTA S ET AL: "TV CONTENT RECOMMENDER SYSTEM", PROCEEDINGS NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, XX, XX, 30 July 2000 (2000-07-30), pages 1121 - 1122, XP008003365 *

Also Published As

Publication number Publication date
KR20030022884A (en) 2003-03-17
CN1513264A (en) 2004-07-14
US20020194602A1 (en) 2002-12-19
CN1250004C (en) 2006-04-05
EP1402730A2 (en) 2004-03-31
WO2002100103A2 (en) 2002-12-12
JP4355569B2 (en) 2009-11-04
JP2004527991A (en) 2004-09-09

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