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    • 1. 发明申请
    • SYSTEM AND METHOD FOR AUTOMATICALLY RATING VIDEO CONTENT
    • 用于自动评估视频内容的系统和方法
    • US20090133048A1
    • 2009-05-21
    • US12120217
    • 2008-05-13
    • Simon J. GibbsBottyan NemethPriyang RathodAnugeetha KunjithapathamMithun SheshagiriPhuong Nguyen
    • Simon J. GibbsBottyan NemethPriyang RathodAnugeetha KunjithapathamMithun SheshagiriPhuong Nguyen
    • H04H60/32
    • G06F17/30038
    • System and method for automatically rating the content of video media based on video operations performed on a media device and in reference to a plurality of rating rules are provided. Usage of the media device is continuously monitored and user actions with respect to operating the video media on the media device are automatically logged. Each rating rule includes a device usage pattern with respect to operating videos on the media device and a rating action indicating adjustments to content ratings of the videos based upon characteristics described by the device usage pattern that are inferred from the recorded user inputted video control operations. When the device usage pattern of a rating rule is inferred from one or more user actions operating a piece of video media directly on the media device, the content rating of the piece of video media is adjusted based on the rating rule.
    • 提供了基于在媒体设备上执行的视频操作并参考多个评级规则来自动对视频媒体的内容进行评级的系统和方法。 持续监控媒体设备的使用情况,并自动记录用户在媒体设备上操作视频媒体的操作。 每个评级规则包括关于媒体设备上的操作视频的设备使用模式,以及基于从记录的用户输入的视频控制操作推断出的设备使用模式所描述的特性的指示对视频的内容评级进行调整的评级动作。 当通过直接在媒体设备上操作一段视频媒体的一个或多个用户动作来推断评级规则的设备使用模式时,基于评级规则来调整该片视频媒体的内容分级。
    • 2. 发明申请
    • COMBINATION OF COLLABORATIVE FILTERING AND CLIPRANK FOR PERSONALIZED MEDIA CONTENT RECOMMENDATION
    • 合作过滤与个人化媒体内容推荐组合
    • US20090132520A1
    • 2009-05-21
    • US12120211
    • 2008-05-13
    • Bottyan NemethSimon J. GibbsMithun SheshagiriPriyang Rathod
    • Bottyan NemethSimon J. GibbsMithun SheshagiriPriyang Rathod
    • G06F17/30
    • G06F17/30038
    • Various methods for combining ClipRank and Collaborative Filtering are provided. According to one embodiment, the ClipRank weights associated with a plurality of pieces of media content are calculated based on the relationships among the plurality of pieces of media content and a plurality of users. Those pieces having ClipRank weights greater than or equal to a predefined weight threshold are selected from the plurality of pieces of media content to obtain a plurality of selected pieces of media content. Collaborative Filtering is then performed on the plurality of selected pieces of media content and the plurality of users. According to another embodiment, Collaborative Filtering on a plurality of pieces of media content and a plurality of users is performed for one of the plurality of users. Personalized ClipRank weights associated with the plurality of pieces of media content is calculated for the user based on Collaborative Filtering ratings obtained for the plurality of pieces of media content for the user.
    • 提供了组合ClipRank和协同过滤的各种方法。 根据一个实施例,基于多个媒体内容和多个用户之间的关系来计算与多个媒体内容相关联的ClipRank权重。 从多个媒体内容中选择具有大于或等于预定权重阈值的ClipRank权重的片段,以获得多个所选择的媒体内容。 然后对多个选定的媒体内容和多个用户执行协作过滤。 根据另一个实施例,对多个用户中的一个执行对多个媒体内容和多个用户的协作过滤。 基于针对用户的多个媒体内容获得的协作过滤等级,为用户计算与多个媒体内容相关联的个性化ClipRank权重。
    • 3. 发明授权
    • System and method for automatically rating video content
    • 自动对视频内容进行评分的系统和方法
    • US08001561B2
    • 2011-08-16
    • US12120217
    • 2008-05-13
    • Simon J. GibbsBottyán NémethPriyang RathodAnugeetha KunjithapathamMithun SheshagiriPhuong Nguyen
    • Simon J. GibbsBottyán NémethPriyang RathodAnugeetha KunjithapathamMithun SheshagiriPhuong Nguyen
    • H04N7/16H04N5/455
    • G06F17/30038
    • System and method for automatically rating the content of video media based on video operations performed on a media device and in reference to a plurality of rating rules are provided. Usage of the media device is continuously monitored and user actions with respect to operating the video media on the media device are automatically logged. Each rating rule includes a device usage pattern with respect to operating videos on the media device and a rating action indicating adjustments to content ratings of the videos based upon characteristics described by the device usage pattern that are inferred from the recorded user inputted video control operations. When the device usage pattern of a rating rule is inferred from one or more user actions operating a piece of video media directly on the media device, the content rating of the piece of video media is adjusted based on the rating rule.
    • 提供了基于在媒体设备上执行的视频操作并参考多个评级规则来自动对视频媒体的内容进行评级的系统和方法。 持续监控媒体设备的使用情况,并自动记录用户在媒体设备上操作视频媒体的操作。 每个评级规则包括关于媒体设备上的操作视频的设备使用模式,以及基于从记录的用户输入的视频控制操作推断出的设备使用模式所描述的特性的指示对视频的内容评级进行调整的评级动作。 当通过直接在媒体设备上操作一段视频媒体的一个或多个用户动作来推断评级规则的设备使用模式时,基于评级规则来调整该片视频媒体的内容分级。
    • 4. 发明申请
    • DETERMINING THE INTEREST OF INDIVIDUAL ENTITIES BASED ON A GENERAL INTEREST
    • 基于一般利益确定个人实体的利益
    • US20100205041A1
    • 2010-08-12
    • US12370414
    • 2009-02-12
    • Priyang RathodSimon J. GibbsAnugeetha KunjithapathamMithun SheshagiriPhuong Nguyen
    • Priyang RathodSimon J. GibbsAnugeetha KunjithapathamMithun SheshagiriPhuong Nguyen
    • G06Q10/00
    • G06Q10/00G06Q30/0204
    • An interest value indicative of the interest of a particular entity in one or more items can be determined based on a general interest value (e.g., a group interest/preference value) associated with a plurality of entities (e.g., persons, members of a group) that include that particular entity. The interest value can be determined based on Collaborative Filtering (CF) data and/or individual (or non-collaborative) data. In contrast to the Collaborative Filtering (CF) data which may include data associated with various entities, the individual (or non-collaborative) data typically pertains to one entity, namely, the entity whose interest is to be determined. It will be appreciated that both collaborative and non-collaborative data pertaining to individuals can be considered, thereby allowing for a better estimation of individual interests. The interest of a particular entity can be determined, for example, by considering the difference between a predicted CF interest value (determined based on CF data) and a group interest value and/or by considering the difference between a predicted individual interest value (determined based on non-collaborative data) and the group interest value.
    • 可以基于与多个实体(例如,个人,组的成员)相关联的一般兴趣值(例如,组兴趣/偏好值)来确定指示一个或多个项目中特定实体的兴趣的兴趣值 )包括该特定实体。 可以基于协同过滤(CF)数据和/或单个(或非协作)数据来确定兴趣值。 与可以包括与各种实体相关联的数据的协作过滤(CF)数据相反,个体(或非协作)数据通常涉及一个实体,即其利益将被确定的实体。 应当理解,可以考虑与个人有关的协作和非协作数据,从而允许更好地估计个人兴趣。 特定实体的兴趣可以例如通过考虑预测的CF利息值(基于CF数据确定)和组合利息价值之间的差异和/或通过考虑预测的个人利益价值(确定的)之间的差异来确定 基于非协作数据)和组利益价值。
    • 6. 发明申请
    • CLIPRANK: RANKING MEDIA CONTENT USING THEIR RELATIONSHIPS WITH END USERS
    • CLIPRANK:使用与最终用户的关系排名媒体内容
    • US20090132519A1
    • 2009-05-21
    • US12120209
    • 2008-05-13
    • Priyang RathodMithun SheshagiriSimon J. GibbsAnugeetha Kunjithapatham
    • Priyang RathodMithun SheshagiriSimon J. GibbsAnugeetha Kunjithapatham
    • G06F17/30
    • G06F17/30038
    • A method of ranking a plurality pieces of media content is provided. Each of the plurality pieces of media content has at least one relationship with at least one of a plurality of users. Each of the plurality of users has at least one relationship with at least one of the plurality pieces of media content. Each of the plurality pieces of media content is associated with a weight, each of the plurality of users is associated with a weight, and each relationship is associated with a weight. For each of the plurality pieces of media content and each of the plurality of users, recursively calculating and updating the weight associated with the piece of media content or the user until a difference between the weights associated with the plurality pieces of media content and the plurality of users calculated during a current iteration and the weights associated with the plurality pieces of media content and the plurality of users calculated during a previous iteration is less than a predefined threshold. The weight associated with a piece of media content or a user is calculated based on the weights of the at least one relationship and the weights of the at least one piece of media content or the at least one user with which the piece of media content or the user has the at least one relationship. Ranking the plurality pieces of media content according to their respectively associated weights.
    • 提供了一种对多个媒体内容进行排序的方法。 多个媒体内容中的每一个与多个用户中的至少一个具有至少一个关系。 多个用户中的每一个与多个媒体内容中的至少一个具有至少一个关系。 多个媒体内容中的每一个与权重相关联,多个用户中的每一个与权重相关联,并且每个关系与权重相关联。 对于多个媒体内容中的每一个和多个用户中的每一个,递归地计算和更新与该片媒体内容或用户相关联的权重,直到与多个媒体内容和多个媒体内容相关联的权重之间的差异 并且与多个媒体内容相关联的权重以及在先前迭代期间计算的多个用户的权重小于预定义的阈值。 基于所述至少一个关系的权重以及所述至少一个媒体内容的权重或者所述至少一个用户可以计算与一段媒体内容或用户相关联的权重, 用户具有至少一个关系。 根据各自的相关权重对多个媒体内容进行排序。