Collaborative sampling for implicit recommenders
    1.
    发明申请
    Collaborative sampling for implicit recommenders 有权
    隐性推荐者的协同抽样

    公开(公告)号:US20070162440A1

    公开(公告)日:2007-07-12

    申请号:US10596165

    申请日:2004-11-30

    IPC分类号: G06F17/30

    摘要: A method for generating a recommendation is provided. The method includes the steps of: receiving at least one of a negative and positive example from one or more other users; and determining a recommendation for a user based on at least one of the negative and positive examples. The method can further include the step of generating a user profile for the user based on previous behavior of the user, in which case the determining step can include determining the recommendation based on the negative example and the user profile. The determining step can also include the step of determining the recommendation based on both of the negative and positive examples.

    摘要翻译: 提供了一种用于产生推荐的方法。 该方法包括以下步骤:从一个或多个其他用户接收负面和正面示例中的至少一个; 以及基于所述负面和正面示例中的至少一个来确定针对用户的推荐。 该方法还可以包括基于用户的先前行为为用户生成用户简档的步骤,在这种情况下,确定步骤可以包括基于否定示例和用户简档确定推荐。 确定步骤还可以包括基于负面和正面实例两者来确定推荐的步骤。

    Enhanced collaborative filtering technique for recommendation
    3.
    发明申请
    Enhanced collaborative filtering technique for recommendation 审中-公开
    增强协同过滤技术推荐

    公开(公告)号:US20070050192A1

    公开(公告)日:2007-03-01

    申请号:US10596166

    申请日:2004-11-30

    IPC分类号: G06Q99/00

    CPC分类号: G06Q10/10 G06Q30/02 G06Q99/00

    摘要: A method for generating a recommendation for a user is provided. The method includes: identifying a first group of other users, the first group having a plurality of first individuals associated with user preferences and/or user profiles that are considered positive influences in generating a recommendation; and generating the recommendation for the user based on the user preferences and/or user profiles of the first individuals. The method can further include: identifying a second group of other users, the second group having a plurality of second individuals associated with user preferences and/or user profiles that are considered negative influences in generating a recommendation; where the generating of the recommendation is further based on the user preferences and/or user profiles of the second individuals.

    摘要翻译: 提供了一种用于为用户生成推荐的方法。 该方法包括:识别第一组其他用户,第一组具有与用户偏好相关联的多个第一个人和/或在生成推荐中被认为是积极影响的用户简档; 以及基于所述第一个人的用户偏好和/或用户简档来为所述用户生成所述推荐。 所述方法还可以包括:识别第二组其他用户,所述第二组具有与用户偏好相关联的多个第二个人和/或在生成推荐中被认为是负面影响的用户简档; 其中建议的产生进一步基于第二个人的用户偏好和/或用户简档。

    Adaptation of close-captioned text based on surrounding video content
    4.
    发明申请
    Adaptation of close-captioned text based on surrounding video content 审中-公开
    根据周边视频内容适应近距离标注的文字

    公开(公告)号:US20070121005A1

    公开(公告)日:2007-05-31

    申请号:US10578718

    申请日:2004-11-08

    IPC分类号: H04N7/08 H04N11/00 H04N7/16

    摘要: A method for displaying close-captioned text (116) associated with video is provided. The method including: determining a position on a portion of the video for display of the close-captioned text; detecting one or more attributes of the video surrounding the position; and adjusting one or more attributes of the close-captioned text based on the detected one or more attributes of the video. The method can further include displaying the close-captioned text in the portion of the video with the adjusted one or more attributes. The one or more attributes of the video surrounding the position can be selected from a list consisting of a brightness, a contrast, a color, and a content. The one or more attributes of the close-captioned text can be selected from a group consisting of a brightness, a contrast, a color, and a degree of transparency.

    摘要翻译: 提供了一种用于显示与视频相关联的近字幕文本(116)的方法。 所述方法包括:确定所述视频的一部分上的位置以显示所述紧密标题的文本; 检测围绕位置的视频的一个或多个属性; 以及基于所检测的所述视频的一个或多个属性来调整所述紧接字幕文本的一个或多个属性。 所述方法还可以包括在经过调整的一个或多个属性的视频部分中显示紧接字幕的文本。 围绕位置的视频的一个或多个属性可以从由亮度,对比度,颜色和内容组成的列表中选择。 可以从由亮度,对比度,颜色和透明度组成的组中选择一个或多个紧密标题文本的属性。

    Two-step commercial recommendation
    5.
    发明申请
    Two-step commercial recommendation 审中-公开
    两步商业推荐

    公开(公告)号:US20070089129A1

    公开(公告)日:2007-04-19

    申请号:US10578716

    申请日:2004-11-08

    摘要: Commercials are recommended for insertion into audio and/or video programs. A two-step linking between the user (205) and a set of commercials (260, 262, 264, 266) is provided. A preference score indicates how much the user likes each of the programs (210, 212, 214, 216, 218). This can be achieved, e.g., using a program recommender (160). A commercial classifier (170) uses the advertiser's knowledge to provide a correlation factor that indicates an effectiveness of a commercial relative to a program. An effectiveness metric (E) may be obtained for each commercial that indicates the effectiveness of the commercial relative to the specific user by summing, over each program, a product of the preference score and the correlation factor.

    摘要翻译: 建议商业用于插入音频和/或视频节目。 提供了用户(205)和一组广告(260,262,264,266)之间的两步链接。 偏好分数表示用户喜欢每个节目(210,212,214,216,218)多少。 这可以例如使用节目推荐器(160)来实现。 商业分类器(170)使用广告主的知识来提供指示商业相对于节目的有效性的相关因子。 对于每个商业广告,可以通过在每个节目上对偏好得分和相关因子的乘积进行求和来指示商业相对于特定用户的有效性的有效度量(E)。

    Commercial augmentation
    6.
    发明申请
    Commercial augmentation 审中-公开
    商业增值

    公开(公告)号:US20070083887A1

    公开(公告)日:2007-04-12

    申请号:US10578639

    申请日:2004-11-08

    摘要: Commercials (200) such as television commercials are augmented by obtaining additional information (300) regarding an advertised product or service from a remote server (182, 184, 192, 194, 195) via a computer network (180) such as the Internet. Commercials are identified and descriptive information is extracted (170). The descriptive information may indicate, e.g., the type of commercial. A user provides preferences (400, 500) regarding commercials via an interface. The preferences may indicate a desired level of detail (500) for the additional information. For commercials whose descriptive information corresponds with the user preference, the computer network is searched to located additional information, e.g., in the form of a web page or link (300). The additional information may relate to promotions, availability, and specifications of an advertised product or service.

    摘要翻译: 通过经由诸如因特网的计算机网络(180)从远程服务器(182,184,192,194,195)获得关于广告的产品或服务的附加信息(300)来增强诸如电视广告的商业广告(200)。 识别商业广告并提取描述性信息(170)。 描述性信息可以指示例如商业类型。 用户通过界面提供关于广告的偏好(400,500)。 偏好可以指示用于附加信息的期望的细节级别(500)。 对于其描述性信息对应于用户偏好的商业广告,搜索计算机网络以定位附加信息,例如以网页或链接(300)的形式。 附加信息可能与宣传产品或服务的促销,可用性和规格有关。

    Dominant color extraction for ambient light derived from video content mapped through unrendered color space
    8.
    发明授权
    Dominant color extraction for ambient light derived from video content mapped through unrendered color space 失效
    通过未渲染色彩空间映射的视频内容导出的环境光的主色提取

    公开(公告)号:US08063992B2

    公开(公告)日:2011-11-22

    申请号:US11571284

    申请日:2005-06-27

    IPC分类号: H04N5/57 H04N5/58

    CPC分类号: H04N9/73 H05B37/029

    摘要: Extracting and processing video content encoded in a rendered color space to be emulated by an ambient light source, comprising extracting dominant color information from a video signal and transforming the color information through unrendered color space using tristimulus primary matrices to form a second rendered color space for ambient distribution. Steps include quantizing the rendered color space to form an assigned color distribution, such as by reducing possible color states, or binning to form superpixels; and selecting a dominant color using a mode, mean, median, or weighted average of pixel chromaticities. A color of interest can be further analyzed to produce a true dominant color, and past video frames can guide selection of dominant colors in future frames.

    摘要翻译: 提取和处理被渲染的颜色空间中编码的要被环境光源模拟的视频内容,包括从视频信号中提取主要颜色信息,并使用三色主矩阵来转换未渲染颜色空间的颜色信息,以形成第二渲染颜色空间, 环境分布。 步骤包括量化所渲染的颜色空间以形成所分配的颜色分布,例如通过减少可能的颜色状态或合并形成超像素; 并使用像素色度的模式,均值,中值或加权平均来选择主色。 可以进一步分析感兴趣的颜色以产生真正的主色,并且过去的视频帧可以指导未来帧中的主色选择。

    Three-way media recommendation method and system
    9.
    发明授权
    Three-way media recommendation method and system 有权
    三媒体推荐方法和系统

    公开(公告)号:US07937725B1

    公开(公告)日:2011-05-03

    申请号:US09627139

    申请日:2000-07-27

    IPC分类号: H04N5/445

    摘要: An electronic programming guide (EPG) system employing a preference engine and processing system that combines explicit rule profile, history profile, and feedback profile data to generate new predictions. Television shows are presumed to be indexed by many features. These features are extracted and counted for TV shows watched (implicit profile), and for TV shows rated by the viewer (feedback profile). These profiles are straightforward to combine with suitably greater weight being given to the feedback information. In addition, explicit profiles can make recommendations that stand alone or may be used to modify recommendations arising from either of the two sources. The modifications may take the form of additive or multiplicative changes to the existing recommendations or some other suitable mathematical form.

    摘要翻译: 一种使用偏好引擎和处理系统的电子节目指南(EPG)系统,其结合显式规则简档,历史简档和反馈简档数据以产生新的预测。 电视节目被推测由许多功能索引。 对于观看的电视节目(隐性配置文件)以及由观众评估的电视节目(反馈配置文件),都会提取和计数这些功能。 这些配置文件直接与给予反馈信息的适当更大的重量相结合。 此外,明确的个人资料可以提出独立的建议,也可以用来修改两个来源之一的建议。 修改可以采用对现有建议或某些其他合适数学形式的加法或乘法变化的形式。

    Method and apparatus for recommending items of interest to a user based on recommendations for one or more third parties
    10.
    发明授权
    Method and apparatus for recommending items of interest to a user based on recommendations for one or more third parties 失效
    基于对一个或多个第三方的建议来向用户推荐感兴趣的项目的方法和装置

    公开(公告)号:US07571452B2

    公开(公告)日:2009-08-04

    申请号:US10014194

    申请日:2001-11-13

    申请人: Srinivas Gutta

    发明人: Srinivas Gutta

    IPC分类号: H04N5/445 G06F13/00 G06F3/00

    摘要: A method and apparatus are disclosed for recommending items of interest to a user based on recommendations made to one or more third parties. The recommendation scores generated by a primary recommender are influenced by recommendations generated for one or more third parties, such as a friend, colleague or trendsetter. The disclosed recommender corroborates with other recommenders when recommending items of interest and adjusts a conventional recommender score based on third party recommendations. The third party recommendations may be a top-N list of recommended items for a given third party, and may optionally include a recommendation score and an indication of whether or not the third party actually selected the recommended item. A recommender evaluates the viewing or purchase habits of a user and communicates with one or more other recommenders to determine the items that are being recommended by such other recommenders.

    摘要翻译: 公开了一种方法和装置,用于基于对一个或多个第三方的建议向用户推荐感兴趣的项目。 主要推荐者产生的推荐分数受到为一个或多个第三方(如朋友,同事或潮流引擎)生成的建议的影响。 当推荐感兴趣的项目时,所公开的推荐者与其他推荐者确认,并且基于第三方建议来调整常规的推荐者评分。 第三方建议可能是给定第三方的推荐项目的前N列表,并且可以可选地包括推荐分数以及第三方是否实际选择了推荐项目的指示。 推荐者评估用户的观看或购买习惯,并与一个或多个其他推荐者进行通信,以确定由其他推荐者推荐的项目。