JP5543107B2 - 少なくとも1つのコンテンツ項目の推奨を生成する方法及び装置 - Google Patents
少なくとも1つのコンテンツ項目の推奨を生成する方法及び装置 Download PDFInfo
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- JP5543107B2 JP5543107B2 JP2008542892A JP2008542892A JP5543107B2 JP 5543107 B2 JP5543107 B2 JP 5543107B2 JP 2008542892 A JP2008542892 A JP 2008542892A JP 2008542892 A JP2008542892 A JP 2008542892A JP 5543107 B2 JP5543107 B2 JP 5543107B2
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- 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
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/414—Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
- H04N21/4147—PVR [Personal Video Recorder]
-
- 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
- H04N21/458—Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules ; time-related management operations
-
- 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
- H04N21/4662—Learning process for intelligent management, e.g. learning user preferences for recommending movies characterized by learning algorithms
- H04N21/4666—Learning process for intelligent management, e.g. learning user preferences for recommending movies characterized by learning algorithms using neural networks, e.g. processing the feedback provided by the user
-
- 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
- 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
- H04N21/47—End-user applications
- H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
- H04N21/4756—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for rating content, e.g. scoring a recommended movie
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Human Computer Interaction (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Description
K.Nygren他の“An Agent System for Media on Demand Services”、proceedings of the international conference on the pactical application of intelligent agents and multi-agent technology、22 April 1996、437-454ページの文献は、適応的プロファイルに基づいてコンテンツ項目を推奨する推奨器を開示している。
しかし、このような推奨システムは、どのユーザが装置を動作しており、誰の嗜好を使用するかを確保するために、例えばログイン手順により又は顔認識を使用することにより、ユーザ識別を行うことができなければならないという欠点を受ける。
Claims (5)
- 少なくとも1つのコンテンツ項目の推奨を生成する方法であって:
所定の選択基準に合致するコンテンツ項目のみがパーソナライズ化コンテンツチャンネルで再生されるように、放送チャンネルで各コンテンツ項目をフィルタリングするステップと;
コンテンツ項目を視聴しながら前記パーソナライズ化コンテンツチャンネルで再生されるコンテンツ項目の好き又は嫌いを決定するステップであり、少なくとも1つの前記好き又は嫌いは、視聴者が前記コンテンツ項目を見る期間の長さに基づいて決定されるステップと;
前記決定された好き又は嫌いに基づいてプロファイルを更新し、前記プロファイルは前記パーソナライズ化コンテンツチャンネルに関連するステップと;
前記プロファイルに基づいて少なくとも1つの更なるコンテンツ項目の推奨を生成するステップと;
を有する方法。 - 前記パーソナライズ化コンテンツチャンネルで再生される前記少なくとも1つの推奨された更なるコンテンツ項目を選択するステップを更に有する、請求項1に記載の方法。
- 前記パーソナライズ化コンテンツチャンネルで前記少なくとも1つの推奨された更なるコンテンツ項目の表示を提供するステップを更に有する、請求項1に記載の方法。
- 少なくとも1つのコンテンツ項目の推奨を生成する装置であって:
所定の選択基準に合致するコンテンツ項目のみがパーソナライズ化コンテンツチャンネルで再生されるように、放送チャンネルで各コンテンツ項目をフィルタリングするフィルタと、
プロファイルを格納するプロファイル記憶装置であり、前記プロファイルは、前記パーソナライズ化コンテンツチャンネルに関連し、前記パーソナライズ化コンテンツチャンネルで再生されるコンテンツ項目の決定された好き又は嫌いに基づいて更新され、少なくとも1つの前記好き又は嫌いは、視聴者が前記コンテンツ項目を見る期間の長さに基づいてコンテンツ項目の視聴中に決定される記憶装置と、
前記プロファイルに基づいて少なくとも1つの更なるコンテンツ項目の推奨を生成する少なくとも1つの推奨エンジンと
を有する装置。 - 請求項1ないし3のうちいずれか1項に記載の方法を実施する複数のプログラムコード部を有するコンピュータプログラム。
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP05111528.5 | 2005-11-30 | ||
EP05111528 | 2005-11-30 | ||
PCT/IB2006/054423 WO2007063466A1 (en) | 2005-11-30 | 2006-11-24 | Method and apparatus for generating a recommendation for at least one content item |
Publications (2)
Publication Number | Publication Date |
---|---|
JP2009517948A JP2009517948A (ja) | 2009-04-30 |
JP5543107B2 true JP5543107B2 (ja) | 2014-07-09 |
Family
ID=37908166
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2008542892A Expired - Fee Related JP5543107B2 (ja) | 2005-11-30 | 2006-11-24 | 少なくとも1つのコンテンツ項目の推奨を生成する方法及び装置 |
Country Status (6)
Country | Link |
---|---|
US (1) | US10237604B2 (ja) |
EP (1) | EP1958434A1 (ja) |
JP (1) | JP5543107B2 (ja) |
CN (2) | CN103561300A (ja) |
RU (1) | RU2420908C2 (ja) |
WO (1) | WO2007063466A1 (ja) |
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RU2420908C2 (ru) * | 2005-11-30 | 2011-06-10 | Конинклейке Филипс Электроникс Н.В. | Способ и устройство генерации рекомендации для по меньшей мере одного элемента контента |
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US20110292181A1 (en) * | 2008-04-16 | 2011-12-01 | Canesta, Inc. | Methods and systems using three-dimensional sensing for user interaction with applications |
US20100070871A1 (en) * | 2008-09-12 | 2010-03-18 | International Business Machines Corporation | Extendable Recommender Framework for Web-Based Systems |
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-
2006
- 2006-11-24 RU RU2008126226/09A patent/RU2420908C2/ru not_active IP Right Cessation
- 2006-11-24 WO PCT/IB2006/054423 patent/WO2007063466A1/en active Application Filing
- 2006-11-24 JP JP2008542892A patent/JP5543107B2/ja not_active Expired - Fee Related
- 2006-11-24 CN CN201310527443.1A patent/CN103561300A/zh active Pending
- 2006-11-24 EP EP06821542A patent/EP1958434A1/en not_active Withdrawn
- 2006-11-24 CN CNA2006800448897A patent/CN101317442A/zh active Pending
- 2006-11-24 US US12/095,001 patent/US10237604B2/en not_active Expired - Fee Related
Also Published As
Publication number | Publication date |
---|---|
CN101317442A (zh) | 2008-12-03 |
RU2008126226A (ru) | 2010-01-10 |
RU2420908C2 (ru) | 2011-06-10 |
WO2007063466A1 (en) | 2007-06-07 |
EP1958434A1 (en) | 2008-08-20 |
JP2009517948A (ja) | 2009-04-30 |
US20080288982A1 (en) | 2008-11-20 |
US10237604B2 (en) | 2019-03-19 |
CN103561300A (zh) | 2014-02-05 |
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