WO2003105082A3 - FUSION BY DECISION OF RECOMMENDED AGENT INDEXES BY FUZZY AGGREGATION CONNECTIVES - Google Patents

FUSION BY DECISION OF RECOMMENDED AGENT INDEXES BY FUZZY AGGREGATION CONNECTIVES Download PDF

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Publication number
WO2003105082A3
WO2003105082A3 PCT/IB2003/002182 IB0302182W WO03105082A3 WO 2003105082 A3 WO2003105082 A3 WO 2003105082A3 IB 0302182 W IB0302182 W IB 0302182W WO 03105082 A3 WO03105082 A3 WO 03105082A3
Authority
WO
WIPO (PCT)
Prior art keywords
recommendation
fusion
recommendation agent
decision
fuzzy aggregation
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.)
Ceased
Application number
PCT/IB2003/002182
Other languages
French (fr)
Other versions
WO2003105082A2 (en
Inventor
Anna L Buczak
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
US Philips Corp
Original Assignee
Koninklijke Philips Electronics NV
US Philips Corp
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, US Philips Corp filed Critical Koninklijke Philips Electronics NV
Priority to EP03725524A priority Critical patent/EP1516285A2/en
Priority to JP2004512079A priority patent/JP2005529415A/en
Priority to AU2003228055A priority patent/AU2003228055A1/en
Publication of WO2003105082A2 publication Critical patent/WO2003105082A2/en
Publication of WO2003105082A3 publication Critical patent/WO2003105082A3/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

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
    • H04N21/45—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
    • H04N21/4661—Deriving a combined profile for a plurality of end-users of the same client, e.g. for family members within a home
    • 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
    • H04N21/4508—Management of client data or end-user data
    • H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
    • 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
    • H04N21/454—Content or additional data filtering, e.g. blocking advertisements
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/16—Analogue secrecy systems; Analogue subscription systems
    • H04N7/162—Authorising the user terminal, e.g. by paying; Registering the use of a subscription channel, e.g. billing
    • H04N7/163—Authorising the user terminal, e.g. by paying; Registering the use of a subscription channel, e.g. billing by receiver means only

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Signal Processing (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 de fusion d'indices d'agent de recommandation. Ce procédé consiste (a) à établir un premier indice d'agent de recommandation pour un sujet cible, sur la base d'un premier ensemble d'informations, (b) à établir un second indice d'agent de recommandation pour le sujet cible, sur la base d'un second ensemble d'informations, (c) à fusionner le premier indice d'agent de recommandation et le second indice d'agent de recommandation au moyen de connectifs d'agrégation flous compensatoires, puis (d) à établir une recommandation finale pour le sujet cible, sur la base de la fusion de l'étape (c). Cette recommandation finale peut être affichée sur une unité d'affichage ou sur un téléviseur. Les connectifs d'agrégation flous compensatoires utilisés pour la fusion de l'étape (c) peuvent comprendre une moyenne généralisée (Generalized Mean) ou un modèle gamma (Gamma Model). Les premier et second indices d'agent de recommandation, lorsqu'ils ont trait au même sujet, peuvent être des indices pour des personnes différentes, par exemple pour un couple regardant la télévision.The present invention relates to a method of merging recommendation agent indices. The method includes (a) establishing a first recommendation agent index for a target subject based on a first set of information, (b) establishing a second recommendation agent index for the target subject , on the basis of a second set of information, (c) to merge the first recommendation agent index and the second recommendation agent index by means of compensatory fuzzy aggregation connectors, then (d) to establish a final recommendation for the target subject, based on the merger of step (c). This final recommendation can be displayed on a display unit or on a television. The compensatory fuzzy aggregation connectors used for the fusion of step (c) can comprise a generalized mean (Generalized Mean) or a gamma model (Gamma Model). The first and second recommendation agent clues, when they relate to the same subject, can be clues for different people, for example for a couple watching television.

PCT/IB2003/002182 2002-06-10 2003-05-19 Decision fusion of recommender scores through fuzzy aggregation connectives Ceased WO2003105082A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
EP03725524A EP1516285A2 (en) 2002-06-10 2003-05-19 Decision fusion of recommender scores through fuzzy aggregation connectives
JP2004512079A JP2005529415A (en) 2002-06-10 2003-05-19 Fusion of recommendation score judgment through fuzzy aggregation
AU2003228055A AU2003228055A1 (en) 2002-06-10 2003-05-19 Decision fusion of recommender scores through fuzzy aggregation connectives

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US10/165,932 US20030229896A1 (en) 2002-06-10 2002-06-10 Decision fusion of recommender scores through fuzzy aggregation connectives
US10/165,932 2002-06-10

Publications (2)

Publication Number Publication Date
WO2003105082A2 WO2003105082A2 (en) 2003-12-18
WO2003105082A3 true WO2003105082A3 (en) 2004-02-26

Family

ID=29710558

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2003/002182 Ceased WO2003105082A2 (en) 2002-06-10 2003-05-19 Decision fusion of recommender scores through fuzzy aggregation connectives

Country Status (6)

Country Link
US (1) US20030229896A1 (en)
EP (1) EP1516285A2 (en)
JP (1) JP2005529415A (en)
CN (1) CN1666227A (en)
AU (1) AU2003228055A1 (en)
WO (1) WO2003105082A2 (en)

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Publication number Priority date Publication date Assignee Title
US7937725B1 (en) 2000-07-27 2011-05-03 Koninklijke Philips Electronics N.V. Three-way media recommendation method and system
US20070186241A1 (en) * 2003-08-06 2007-08-09 Matsushita Electric Industrial Co., Ltd. Program recommendation apparatus
US7539652B2 (en) 2003-11-28 2009-05-26 Manyworlds, Inc. Adaptive self-modifying and recombinant systems
US7526458B2 (en) 2003-11-28 2009-04-28 Manyworlds, Inc. Adaptive recommendations systems
US20090018918A1 (en) * 2004-11-04 2009-01-15 Manyworlds Inc. Influence-based Social Network Advertising
US7526459B2 (en) 2003-11-28 2009-04-28 Manyworlds, Inc. Adaptive social and process network systems
USRE45770E1 (en) 2003-11-28 2015-10-20 World Assets Consulting Ag, Llc Adaptive recommendation explanations
US7526464B2 (en) * 2003-11-28 2009-04-28 Manyworlds, Inc. Adaptive fuzzy network system and method
US12093983B2 (en) 2003-11-28 2024-09-17 World Assets Consulting Ag, Llc Adaptive and recursive system and method
WO2008016102A1 (en) * 2006-08-03 2008-02-07 Nec Corporation Similarity calculation device and information search device
US20090327886A1 (en) * 2008-06-27 2009-12-31 Microsoft Corporation Use of secondary factors to analyze user intention in gui element activation
US20100042615A1 (en) * 2008-08-12 2010-02-18 Peter Rinearson Systems and methods for aggregating content on a user-content driven website
US8566274B2 (en) * 2010-05-12 2013-10-22 Salesforce.Com, Inc. Methods and systems for implementing a compositional recommender framework
US8789109B2 (en) * 2011-10-17 2014-07-22 Electronics And Telecommunications Research Institute System for recommending favorite channel/program based on TV watching pattern and method thereof
EP2627096A1 (en) * 2012-02-09 2013-08-14 Thomson Licensing Recommendation method using similarity metrics
EP2701111A1 (en) 2012-08-24 2014-02-26 Nederlandse Organisatie voor toegepast -natuurwetenschappelijk onderzoek TNO Group composition based recommender system and method
CN102831234B (en) * 2012-08-31 2015-04-22 北京邮电大学 Personalized news recommendation device and method based on news content and theme feature
CN103337028B (en) * 2013-06-21 2016-08-17 中国科学院深圳先进技术研究院 A kind of recommendation method, device
US10271106B2 (en) 2015-09-15 2019-04-23 Google Llc Episodic timely notification based on a notifiable event
US11544315B2 (en) 2020-10-20 2023-01-03 Spotify Ab Systems and methods for using hierarchical ordered weighted averaging for providing personalized media content
US11693897B2 (en) 2020-10-20 2023-07-04 Spotify Ab Using a hierarchical machine learning algorithm for providing personalized media content

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Publication number Priority date Publication date Assignee Title
WO2002011445A2 (en) * 2000-07-27 2002-02-07 Koninklijke Philips Electronics N.V. Three-way media recommendation method and system specification

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US5410344A (en) * 1993-09-22 1995-04-25 Arrowsmith Technologies, Inc. Apparatus and method of selecting video programs based on viewers' preferences
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Non-Patent Citations (4)

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Title
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Also Published As

Publication number Publication date
EP1516285A2 (en) 2005-03-23
CN1666227A (en) 2005-09-07
US20030229896A1 (en) 2003-12-11
AU2003228055A1 (en) 2003-12-22
WO2003105082A2 (en) 2003-12-18
JP2005529415A (en) 2005-09-29
AU2003228055A8 (en) 2003-12-22

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