Training, inference and user interface for guiding the caching of media content on local stores
    1.
    发明授权
    Training, inference and user interface for guiding the caching of media content on local stores 有权
    培训,推理和用户界面,用于指导本地商店的媒体内容缓存

    公开(公告)号:US06947935B1

    公开(公告)日:2005-09-20

    申请号:US09825800

    申请日:2001-04-04

    摘要: The present invention is related to a system and method of caching data employing probabilistic predictive techniques. The system and method has particular application to multimedia systems for providing local storage of a subset of available viewing selections by assigning a value to a selection and retaining selections in the cache depending on the value and size of the selection. The value assigned to an item can represent the time-independent likelihood that a user will review an item at some time in the future. An initial value of an item can be based on the user's viewing habits, the user's viewing habit over particular time segment (e.g., early morning, late morning, early afternoon, late afternoon, primetime, late night) and/or viewing habits of a group of user's during a particular time segment. A value assigned to a selection dynamically changes according to a set of cache retention policies, where the value can be time-dependent functions that decay based on the class of the item, as determined by inference about the class or via a label associated with the item. A selections value may be reduced as the selection ages because a user is less likely to view the selection over time. Additionally, a value of a selection may change based on changes on a user's viewing habits, changes in time segments or a user's modification of the cache retention policies.

    摘要翻译: 本发明涉及采用概率预测技术来缓存数据的系统和方法。 该系统和方法特别适用于多媒体系统,用于通过根据选择的值和大小向选择分配值并保留高速缓存中的选择来提供可用观看选择子集的本地存储。 分配给项目的值可以表示用户将来某个时间审查项目的时间无关的可能性。 项目的初始值可以基于用户的观看习惯,用户在特定时间段(例如,清晨,凌晨,下午,下午,黄金时段,深夜)和/或观看习惯的观看习惯 特定时段内的用户组。 分配给选择的值根据一组高速缓存保留策略动态地改变,其中该值可以是基于项目类别而衰减的时间依赖函数,这通过关于该类别的推断或通过与该类别相关联的标签来确定 项目。 由于用户不太可能随着时间的推移来查看选择,所以选择值可能会减少。 此外,选择的值可以基于用户的观看习惯的变化,时间段的变化或用户对缓存保留策略的修改而改变。

    Training, inference and user interface for guiding the caching of media content on local stores
    2.
    发明授权
    Training, inference and user interface for guiding the caching of media content on local stores 有权
    培训,推理和用户界面,用于指导本地商店的媒体内容缓存

    公开(公告)号:US07647365B2

    公开(公告)日:2010-01-12

    申请号:US12233072

    申请日:2008-09-18

    IPC分类号: G06F17/30

    摘要: A system and method of caching data employing probabilistic predictive techniques that provides local storage of a subset of available viewing selections by assigning a value to a selection and retaining selections in the cache depending on the value and size of the selection. The value assigned to an item can represent the time-dependent likelihood that a user will review an item at some time in the future. An initial value of an item can be based on the user's viewing habits, the user's viewing habit over particular time segment and/or viewing habits of a group of user's during a particular time segment. A value assigned to a selection dynamically changes according to a set of cache retention policies, where the value can be time-dependent functions that decay based on the class of the item, as determined by inference about the class or via a label associated with the item.

    摘要翻译: 一种采用概率预测技术来缓存数据的系统和方法,其通过根据选择的值和大小分配值到选择并保留高速缓存中的选择来提供可用观看选择的子集的本地存储。 分配给项目的值可以表示用户将来某个时间审查项目的时间依赖性的可能性。 项目的初始值可以基于用户的观看习惯,用户在特定时间段内的特定时间段的观看习惯和/或在特定时间段期间的一组用户的观看习惯。 分配给选择的值根据一组高速缓存保留策略动态地改变,其中该值可以是基于项目类别而衰减的时间依赖函数,这通过关于该类别的推断或通过与该类别相关联的标签来确定 项目。

    TRAINING, INFERENCE AND USER INTERFACE FOR GUIDING THE CACHING OF MEDIA CONTENT ON LOCAL STORES
    3.
    发明申请
    TRAINING, INFERENCE AND USER INTERFACE FOR GUIDING THE CACHING OF MEDIA CONTENT ON LOCAL STORES 有权
    培训,宣传和用户界面,用于指导当地媒体媒体播放内容

    公开(公告)号:US20090019091A1

    公开(公告)日:2009-01-15

    申请号:US12233072

    申请日:2008-09-18

    IPC分类号: G06F17/30

    摘要: The present invention is related to a system and method of caching data employing probabilistic predictive techniques. The system and method has particular application to multimedia systems for providing local storage of a subset of available viewing selections by assigning a value to a selection and retaining selections in the cache depending on the value and size of the selection. The value assigned to an item can represent the time-dependent likelihood that a user will review an item at some time in the future. An initial value of an item can be based on the user's viewing habits, the user's viewing habit over particular time segment (e.g., early morning, late morning, early afternoon, late afternoon, primetime, late night) and/or viewing habits of a group of user's during a particular time segment. A value assigned to a selection dynamically changes according to a set of cache retention policies, where the value can be time-dependent functions that decay based on the class of the item, as determined by inference about the class or via a label associated with the item. A selections value may be reduced as the selection ages because a user is less likely to view the selection over time. Additionally, a value of a selection may change based on changes on a user's viewing habits, changes in time segments or a user's modification of the cache retention policies.

    摘要翻译: 本发明涉及采用概率预测技术来缓存数据的系统和方法。 该系统和方法特别适用于多媒体系统,用于通过根据选择的值和大小向选择分配值并保留高速缓存中的选择来提供可用观看选择子集的本地存储。 分配给项目的值可以表示用户将来某个时间审查项目的时间依赖性可能性。 项目的初始值可以基于用户的观看习惯,用户在特定时间段(例如,清晨,凌晨,下午,下午,黄金时段,深夜)和/或观看习惯的观看习惯 特定时段内的用户组。 分配给选择的值根据一组高速缓存保留策略动态地改变,其中该值可以是基于项目类别而衰减的时间依赖函数,这通过关于该类别的推断或通过与该类别相关联的标签来确定 项目。 由于用户不太可能随着时间的推移来查看选择,所以选择值可能会减少。 此外,选择的值可以基于用户的观看习惯的变化,时间段的变化或用户对缓存保留策略的修改而改变。

    Training, inference and user interface for guiding the caching of media content on local stores
    4.
    发明授权
    Training, inference and user interface for guiding the caching of media content on local stores 有权
    培训,推理和用户界面,用于指导本地商店的媒体内容缓存

    公开(公告)号:US07451151B2

    公开(公告)日:2008-11-11

    申请号:US11124861

    申请日:2005-05-09

    IPC分类号: G06F17/30 G06F3/00

    摘要: The present invention is related to a system and method of caching data employing probabilistic predictive techniques. The system and method provides local storage of a subset of available viewing selections by assigning a value to a selection and retaining selections in the cache depending on the value and size of the selection. The value assigned to an item can represent the time-dependent likelihood that a user will review an item at some time in the future. An initial value of an item can be based on the user's viewing habits, the user's viewing habit over particular time segment and/or viewing habits of a group of user's during a particular time segment. A value assigned to a selection dynamically changes according to a set of cache retention policies, where the value can be time-dependent functions that decay based on the class of the item, as determined by inference about the class or via a label associated with the item.

    摘要翻译: 本发明涉及采用概率预测技术来缓存数据的系统和方法。 该系统和方法通过根据选择的值和大小为选择分配值并保留高速缓存中的选择来提供可用观看选择的子集的本地存储。 分配给项目的值可以表示用户将来某个时间审查项目的时间依赖性的可能性。 项目的初始值可以基于用户的观看习惯,用户在特定时间段内的特定时间段的观看习惯和/或在特定时间段期间的一组用户的观看习惯。 分配给选择的值根据一组高速缓存保留策略动态地改变,其中该值可以是基于项目类别而衰减的时间依赖函数,这通过关于该类别的推断或通过与该类别相关联的标签来确定 项目。

    Training, inference and user interface for guiding the caching of media content on local stores
    6.
    发明授权
    Training, inference and user interface for guiding the caching of media content on local stores 有权
    培训,推理和用户界面,用于指导本地商店的媒体内容缓存

    公开(公告)号:US07440950B2

    公开(公告)日:2008-10-21

    申请号:US11124862

    申请日:2005-05-09

    IPC分类号: G06F17/30 G06F13/00

    摘要: A system and method of caching multimedia data employing probabilistic predictive techniques is provided for facilitating local storage of a subset of available viewing selections by assigning a value to a selection and retaining selections in the cache depending on the value and size of the selection. The value assigned to an item can represent the time-dependent likelihood that a user (or group of users) will review an item at some time in the future, current viewing habits as well as habits over a particular time segment. A value assigned to a selection dynamically changes according to a set of cache retention policies, where the value can be time-dependent functions that decay based on the class of the item, for example. A selections value may also change based on changes in viewing habits, time segments or a user's modification of the cache retention policies.

    摘要翻译: 提供了使用概率预测技术来缓存多媒体数据的系统和方法,用于通过根据选择的值和大小向选择分配值并保留高速缓存中的选择来促进可用观看选择的子集的本地存储。 分配给项目的值可以表示用户(或用户组)将来某个时间审查项目的时间依赖性的可能性,当前的观看习惯以及特定时间段上的习惯。 分配给选择的值根据一组高速缓存保留策略而动态地改变,其中值可以是例如基于项的类别而衰减的时间依赖函数。 选择值也可以根据观看习惯,时间段或用户对缓存保留策略的修改的变化而改变。

    Training, inference and user interface for guiding the caching of media content on local stores
    7.
    发明授权
    Training, inference and user interface for guiding the caching of media content on local stores 有权
    培训,推理和用户界面,用于指导本地商店的媒体内容缓存

    公开(公告)号:US07403935B2

    公开(公告)日:2008-07-22

    申请号:US11121219

    申请日:2005-05-03

    IPC分类号: G06F17/30 G06F13/00

    摘要: The present invention is related to caching data by employing probabilistic predictive techniques. The invention has particular application to multimedia systems for providing local storage of a subset of available viewing selections by assigning a value to a selection and retaining selections in the cache depending on the value and size of the selection. The value assigned to an item can represent the time-dependent likelihood that a user will review an item at some time in the future. An initial value of an item can be based on the user's viewing habits, the user's or a group of user's viewing habit over particular time segment. A value assigned to a selection dynamically changes according to a set of cache retention policies. A selection's value may be reduced based upon age, changes on a user's viewing habits, changes in time segments or a user's modification of the cache retention policies.

    摘要翻译: 本发明涉及通过采用概率预测技术来缓存数据。 本发明特别适用于多媒体系统,用于通过根据选择的值和大小向选择分配值并保留高速缓存中的选择来提供可用观看选择的子集的本地存储。 分配给项目的值可以表示用户将来某个时间审查项目的时间依赖性的可能性。 项目的初始值可以基于用户的观看习惯,用户或一组用户在特定时间段上的观看习惯。 分配给选择的值根据一组缓存保留策略动态地更改。 选择的价值可能会根据年龄,用户观看习惯的变化,时间段的变化或用户对缓存保留策略的修改而减少。

    Time-centric training, interference and user interface for personalized media program guides
    8.
    发明授权
    Time-centric training, interference and user interface for personalized media program guides 有权
    以时间为中心的培训,推理和个性化媒体节目指南的用户界面

    公开(公告)号:US07644427B1

    公开(公告)日:2010-01-05

    申请号:US11047169

    申请日:2005-01-31

    摘要: The present invention is related to a system and method of considering time segments or intervals in a collaborative filtering model. The present invention extends collaborative filtering approaches by integrating considerations of temporality into the training and/or vote input associated with the usage of collaborative filtering models. The present invention also applies filtering to the output with temporal models, so as to view a most appropriate subset of recommended content, centering on content that may be available at a target time. The present invention applies time to a collaborative filtering model by allowing weight to be associated with selections within a current time segment, selections historically watched within the current time segment by the user and selections historically watched within the current time segment by a large group of users.

    摘要翻译: 本发明涉及在协同过滤模型中考虑时间段或间隔的系统和方法。 本发明通过将时间性考虑整合到与协同过滤模型的使用相关联的训练和/或投票输入中来扩展协作过滤方法。 本发明还利用时间模型对输出进行过滤,以便以目标时间可用的内容为中心来查看推荐内容的最合适子集。 本发明通过允许权重与当前时间段内的选择相关联,由用户在当前时间段内历史观看的选择和由大量用户在当前时间段内历史观看的选择将时间应用于协作过滤模型 。

    Methods and systems for selectively displaying advertisements
    10.
    发明授权
    Methods and systems for selectively displaying advertisements 有权
    用于选择性地显示广告的方法和系统

    公开(公告)号:US07870023B2

    公开(公告)日:2011-01-11

    申请号:US10869682

    申请日:2004-06-16

    IPC分类号: G06Q30/00

    摘要: A system, including a planning module, a control module and a receiver module, configured to schedule display of one or more advertising impressions of available advertising inventory. The planning module enables scheduling a requested quantity of advertising impressions in accordance with target criteria. Further, the planning module enables selecting an advertising impression goal for advertisement, assigning an advertising type and defining a weight for the advertisements. The control module receives the schedule, the advertising type and the defined weights and generates one or more metadata files that contain target criteria, advertising type and weights for the advertisements. The one or more metadata files, with the advertisements, are delivered to the receiver module that is configured to define a display frequency for the advertisements based upon one or more of the metadata files. The receiver module selectively displays advertisement content associated with the advertisements to achieve the advertising impression goal.

    摘要翻译: 一种包括规划模块,控制模块和接收器模块的系统,被配置为调度显示可用广告库存的一个或多个广告印象。 计划模块可以根据目标标准调度所请求的广告展示次数。 此外,规划模块能够选择广告的广告印象目标,分配广告类型并定义广告的权重。 控制模块接收调度表,广告类型和定义的权重,并且生成包含目标标准,广告的广告类型和权重的一个或多个元数据文件。 具有广告的一个或多个元数据文件被传送到接收器模块,其被配置为基于一个或多个元数据文件来定义广告的显示频率。 接收器模块选择性地显示与广告相关联的广告内容以实现广告印象目标。