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。

    Adaptation of close-captioned text based on surrounding video content
    2.
    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
    3.
    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
    4.
    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。

    Enhanced collaborative filtering technique for recommendation
    6.
    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。

    System for recommending program information in accordance with user preferences
    8.
    发明申请
    System for recommending program information in accordance with user preferences 审中-公开
    根据用户偏好推荐节目信息的系统

    公开(公告)号:US20050171924A1

    公开(公告)日:2005-08-04

    申请号:US10506283

    申请日:2003-02-05

    摘要: A system for recommending program information in accordance with user preferences, the system comprising receiving means (110) for receiving the program information and program schedule data pertaining to time schedules for receiving program information, input means (120) for providing a user input to the system, recommending means (160) for analyzing the user preferences and rating the program schedule data in accordance with said user preferences, and establishing preferred program schedule data (210) based on said rating, and presentation means (150) for presenting said preferred program schedule data (210) to a user. The system comprises means for accommodating at least one further recommending means (170) for establishing further preferred program schedule data from the program schedule data in accordance with the user preferences, the presentation means (150) being arranged to present information representative of said further preferred program schedule data (220) for evaluation of a quality of the further recommending means.

    摘要翻译: 一种用于根据用户偏好来推荐节目信息的系统,所述系统包括用于接收与用于接收节目信息的时间表有关的节目信息和节目安排数据的接收装置(110),用于向用户提供用户输入的输入装置 系统,用于分析用户偏好并根据所述用户偏好评估节目表数据的推荐装置(160),以及基于所述评级建立优选节目安排数据(210),以及呈现所述优选节目的呈现装置(150) 向用户安排数据(210)。 该系统包括用于容纳至少一个另外的推荐装置(170)的装置,用于根据用户偏好从节目表数据建立更优选的节目安排数据,所述呈现装置(150)被布置为呈现代表所述进一步优选的信息 用于评估进一步推荐装置的质量的节目安排数据(220)。

    Selecting program items depending on a period of time in which the program items are to be stored
    9.
    发明申请
    Selecting program items depending on a period of time in which the program items are to be stored 有权
    根据要存储程序项目的时间段选择程序项目

    公开(公告)号:US20060173562A1

    公开(公告)日:2006-08-03

    申请号:US10549232

    申请日:2004-03-17

    IPC分类号: G05B19/42

    CPC分类号: G06Q10/109

    摘要: The invention relates to an apparatus for selecting at least one program item to be stored on the basis of user preferences. The apparatus comprises a receiver (110) for obtaining program schedule data related to at least one program item, and a timer (150) arranged to ascertain a period of time in which at least one program item is to be stored, a user preference module (130) arranged to obtain user preferences for at least one program item to be stored in the ascertained period of time, and a selection unit (140) arranged to select, using the program schedule data and the user preferences, at least one program item to be stored over a long period of time which is substantially longer than regular periods of nonusage of the apparatus. The invention takes into consideration that the user preferences for storing the program items may depend on the period of time in which the program items are to be selected.

    摘要翻译: 本发明涉及一种用于基于用户偏好来选择要存储的至少一个程序项目的装置。 该装置包括:用于获得与至少一个节目项相关的节目安排数据的接收机(110);以及定时器(150),其被布置为确定要存储至少一个节目项目的时间段;用户偏好模块 (130),其被布置为获得要在所确定的时间段内存储的至少一个节目项目的用户偏好;以及选择单元(140),其被布置为使用所述节目安排数据和所述用户偏好来选择至少一个节目项目 要长时间地存储,其长度大大超过设备的不正常周期。 本发明考虑到存储程序项目的用户偏好可以取决于要选择程序项目的时间段。

    Creating agents to be used for recommending media content
    10.
    发明申请
    Creating agents to be used for recommending media content 审中-公开
    创建用于推荐媒体内容的代理

    公开(公告)号:US20050066350A1

    公开(公告)日:2005-03-24

    申请号:US10495281

    申请日:2002-10-28

    申请人: Petrus Meuleman

    发明人: Petrus Meuleman

    摘要: A method and a system for the creation of agents to be used for recommending media content to a user (207). The agent comprises a profile of media content and can further comprise an algorithm for recommending media (201) on a media system (208). The media system (208) can be a VCR, a TV, a set-top box, a DVD player, a radio or a personal computer. The method includes the steps of validating an agent in an off-line system (210), transferring agents forth and back between the off-line system (210) and an on-line system (203). The step of validating includes the steps of composing a test set of historical content, estimating scores of an agent in the test set, determine average difference between agent scores and historical relevance feedback, determining performance of an agent using average difference of all agents over the test set and reliability of historical relevance feedback. The method further includes the steps of nominating agents in the on-line system (203), selecting agents and copying agents forth and back between the on-line system (203) and the off-line system (210); importing, generating, training, ranking, nominating and deleting agents in the off-line system (210).

    摘要翻译: 一种用于创建要用于向用户推荐媒体内容的代理的方法和系统(207)。 代理包括媒体内容的简档,并且还可以包括用于在媒体系统(208)上推荐媒体(201)的算法。 媒体系统(208)可以是VCR,TV,机顶盒,DVD播放器,收音机或个人计算机。 该方法包括以下步骤:验证离线系统(210)中的代理,在离线系统(210)和在线系统(203)之间转移代理和返回。 验证步骤包括组合历史内容测试集的步骤,估计测试集中的代理的分数,确定代理分数与历史相关性反馈之间的平均差异,确定代理使用所有代理的平均差异 测试集和历史相关性反馈的可靠性。 该方法还包括在在线系统(203)中提名代理,在在线系统(203)和离线系统(210)之间选择代理和复制代理的步骤。 在离线系统中导入,生成,培训,排名,提名和删除代理(210)。