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    SUBSCRIBER IDENTIFICATION SYSTEM
    12.
    发明公开
    SUBSCRIBER IDENTIFICATION SYSTEM 审中-公开
    参与者标识系统

    公开(公告)号：EP1135742A4

    公开(公告)日：2002-07-24

    申请号：EP99968064

    申请日：1999-12-02

    申请人： TELECOM PARTNERS LTD

    发明人： ELDERING CHARLES A ,  SYLLA M LAMINE

    IPC分类号： G06Q30/02 ,  H04H1/00 ,  H04H60/45 ,  H04N7/173 ,  H04N17/00 ,  G06F151/00 ,  G06F17/60

    CPC分类号： H04H60/45 ,  G06Q30/02 ,  H04N7/17318 ,  H04N21/252 ,  H04N21/44222 ,  H04N21/4662 ,  H04N21/4666 ,  H04N21/6582

    摘要： A subscriber identification system (100) is presented in which subscriber selection data (250) including channel changes (134), volume changes (132), and time-of-day viewing information is used to identify a subscriber (user) (130) from a group of subscribers (130). In one instance, the subscriber selection data (250) is recorded and a signal processing algorithm such as a fourier transform is used to produce a processed version of the subscriber selection data. The processed version of the subscriber selection data (250) can be correlated with stored common identifiers of subscriber profiles to determine which subscriber (130) from the group is presently viewing the programming. A neural network or fuzzy logic can be used as the mechanism for identifying the subscriber (130) from clusters of information which are associated with individual subscribers.

    TELEVISION SYSTEM WITH AIDED USER PROGRAM SEARCHING
    13.
    发明公开
    TELEVISION SYSTEM WITH AIDED USER PROGRAM SEARCHING 审中-公开
    FERNSEHSYSTEM MITBENUTZERUNTERSTÜTZENDERPROGRAMMSUCHE

    公开(公告)号：EP1099340A1

    公开(公告)日：2001-05-16

    申请号：EP99935597.7

    申请日：1999-07-16

    申请人： United Video Properties, Inc.

    发明人： BOYER, Franklin, E. ,  DEMERS, Timothy, B.

    IPC分类号： H04N5/445

    CPC分类号： H04N21/251 ,  H04N5/44543 ,  H04N21/4312 ,  H04N21/4314 ,  H04N21/44222 ,  H04N21/4532 ,  H04N21/454 ,  H04N21/466 ,  H04N21/4666 ,  H04N21/4667 ,  H04N21/4668 ,  H04N21/482 ,  H04N21/4826

    摘要： A system having an adaptive browse feature and an adaptive flip feature is provided. The adaptive browse and flip features may be selected to receive program viewing suggestions. The system may provide a suggestion by displaying an adaptive browse region or adaptative flip region including a program suggestion. The system identifies programs to suggest based on a user's viewing activity. The system uses different algorithms that are user-selectable and user-adjustable to identify program suggestions. The system may query a program guide database to build a list of programs having attributes similar to the attributes of the current program or the last viewed program. The system may use an adaptive learning algorithm such as a neural network. The neural network maybe trained by the program guide by monitoring user-viewing activity. Each algorithm may be personalized for multiple users.

    摘要翻译： 提供了具有自适应浏览特征和自适应翻转特征的系统。 可以选择自适应浏览和翻页功能来接收节目观看建议。 该系统可以通过显示包括程序建议的自适应浏览区域或自适应翻转区域来提供建议。 该系统基于用户的观看活动来识别要建议的节目。 系统使用不同的算法，用户可选择和用户可调整，以识别程序建议。 该系统可以查询节目指南数据库以构建具有与当前节目或最近观看节目的属性类似的属性的节目列表。 该系统可以使用诸如神经网络的自适应学习算法。 神经网络可以通过监视用户观看活动由节目指南进行训练。 每个算法可以针对多个用户进行个性化。

    AUDIOVISUAL CONTENT RECOMMENDATION METHOD AND DEVICE
    15.
    发明公开
    AUDIOVISUAL CONTENT RECOMMENDATION METHOD AND DEVICE 有权
    方法和设备建议视听内容

    公开(公告)号：EP2749038A1

    公开(公告)日：2014-07-02

    申请号：EP12741049.6

    申请日：2012-06-22

    申请人： Inview Technology Limited

    发明人： AUSTIN, Kenneth

    IPC分类号： H04N21/466

    CPC分类号： H04N21/4666 ,  G06F17/30029 ,  H04N21/44222 ,  H04N21/4661 ,  H04N21/4668

    摘要： A method for facilitating the generation of recommendations of audiovisual content for a first user. The method comprises receiving data from a plurality of second users, the received data indicating audiovisual content of interest to the second users. The method further comprises processing the received data to automatically identify a plurality of relationships between interests of one or more of the second users in respective items of audiovisual content in the audiovisual content represented by the received data and generate a recommendation engine. The recommendation engine is adapted to take as input indications of audiovisual content of interest to the first user and to generate recommendations of further audiovisual content of interest to the first user based upon a subset of the plurality of relationships.

    ADAPTIVE BLENDING OF RECOMMENDATION ENGINES
    16.
    发明公开
    ADAPTIVE BLENDING OF RECOMMENDATION ENGINES 审中-公开
    自适应混音建议机

    公开(公告)号：EP2382780A1

    公开(公告)日：2011-11-02

    申请号：EP09787424.2

    申请日：2009-01-01

    申请人： Orca Interactive Ltd.

    发明人： WEINTRAUB, Ofer ,  AGMON, Eran ,  ESHKOL, Adi

    IPC分类号： H04N7/173

    CPC分类号： H04N7/173 ,  H04N21/252 ,  H04N21/44213 ,  H04N21/4661 ,  H04N21/4666 ,  H04N21/4668 ,  H04N21/47202 ,  H04N21/6582

    摘要： A computer implemented data processing system for adaptively blending a plurality of content recommendation engines. The system comprising: a computer implemented blending module; a plurality of computer implemented recommendation engines in operative association with the blending module; a user terminal in communication with the blending module, wherein the plurality of recommendation engines are in operative association with a content repository; and wherein the user terminal is operable to detect a particular user profile of a particular user associated therewith and deliver the particular user profile to the blending module; and wherein each recommendation engine is associated with specific predefined recommendation rules and operable to select particular content from the content repository in accordance with a particular user profile and predefined recommendation rules; and wherein the blending module is operable to adaptively assign weights to the plurality of recommendation engines for each particular user, responsive to the particular user profile thereof.

    RECOMMENDATION SYSTEM USING A PLURALITY OF RECOMMENDATION SCORES
    19.
    发明公开
    RECOMMENDATION SYSTEM USING A PLURALITY OF RECOMMENDATION SCORES 审中-公开
    建议系统中使用多个推荐值

    公开(公告)号：EP1488640A1

    公开(公告)日：2004-12-22

    申请号：EP03704942.6

    申请日：2003-03-18

    申请人： Koninklijke Philips Electronics N.V.

    发明人： BUCZAK, Anna

    IPC分类号： H04N7/16

    CPC分类号： H04N21/4666 ,  H04N7/16 ,  H04N21/25891 ,  H04N21/44222 ,  H04N21/4532 ,  H04N21/454 ,  H04N21/4826

    摘要： A method and apparatus are disclosed for recommending items of interest (205, 210, 220) by fusing a plurality of recommendation scores from individual recommendation tools (125) using one or more Radial Basis Function neural networks (400). The Radial Basis Function neural networks include N inputs and at least one output, interconnected by a plurality of hidden units in a hidden layer. A unique neural network can be used for each user, or a neural network can be shared by a plurality of users, such as a set of users having similar characteristics. A neural network training process (500) initially trains each Radial Basis Function neural network using data from a training data set (300). A neural network cross-validation process (600) selects the Radial Basis Function neural network that performs best on the cross-validation data set. A neural network program recommendation process (700) uses the selected neural network(s) to recommend items of interest to a user.