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公开(公告)号:US20110184792A1
公开(公告)日:2011-07-28
申请号:US12695747
申请日:2010-01-28
申请人: Thomas C. Butcher , Jessica E. Zahn
发明人: Thomas C. Butcher , Jessica E. Zahn
CPC分类号: G06Q30/02 , G06Q10/10 , G06Q30/0211 , G06Q30/0218 , G06Q30/0224 , G06Q30/0239 , G06Q50/01
摘要: Social network reward techniques are described. In an implementation, a method implemented by at least one computing device includes obtaining data that describes users' interaction with a social network service and determining influence of one or more said users on other said users via the social network service from the obtained data. A reward is computed based on the determined influence for at least one said user.
摘要翻译: 描述社会网络奖励技术。 在实现中,由至少一个计算设备实现的方法包括获取描述用户与社交网络服务的交互的数据,并且从所获得的数据通过社交网络服务确定一个或多个所述用户对其他所述用户的影响。 基于对至少一个所述用户的确定的影响来计算奖励。
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公开(公告)号:US20110145040A1
公开(公告)日:2011-06-16
申请号:US12639760
申请日:2009-12-16
申请人: Jessica E. Zahn , Thomas C. Butcher
发明人: Jessica E. Zahn , Thomas C. Butcher
CPC分类号: G06Q30/02 , G06F16/735 , G06Q30/0204 , G06Q30/0282 , G11B27/105 , H04W4/06
摘要: Content recommendation techniques are described. In an implementation, content preferences for a group are determined by identifying an intersection of content preferences for individual users in the group. Content that is currently available for presentation is recommended based on the intersection by comparing the content preferences for the group with metadata for the content that is available for presentation.
摘要翻译: 描述内容推荐技术。 在实现中,通过识别组中的各个用户的内容偏好的交集来确定组的内容偏好。 通过将该组的内容首选项与可用于呈现的内容的元数据进行比较,建议基于该交集进行呈现的内容。
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公开(公告)号:US20110231426A1
公开(公告)日:2011-09-22
申请号:US12729151
申请日:2010-03-22
申请人: Erick L. Fejta , Jessica E. Zahn
发明人: Erick L. Fejta , Jessica E. Zahn
CPC分类号: H04L67/06 , G11B27/038 , G11B27/105 , G11B27/322
摘要: Various embodiments provide a transition service that provisions transition metadata files for use by client devices. The transition metadata files are configured to provide song-specific transitions between songs. In at least some embodiments, the transition service receives a request for a transition metadata file associated with at least an entry song from a client device. The transition service then selects an associated transition metadata file and transmits the associated transition metadata file to the client device for execution. When executed during the playback of the entry song at the client device, the transition metadata file provides a transition from the entry song to an exit song. In at least some embodiments, the transition metadata files are created by a DJ service that provides transitions from specific entry songs to specific exit songs.
摘要翻译: 各种实施例提供了提供转换元数据文件以供客户端设备使用的转换服务。 转换元数据文件被配置为在歌曲之间提供歌曲特定的转换。 在至少一些实施例中,转换服务从客户端设备接收与至少一个条目歌曲相关联的转换元数据文件的请求。 然后,转换服务选择相关联的转移元数据文件,并将相关联的转移元数据文件发送到客户端设备以供执行。 在客户端设备播放录入歌曲期间执行时,转换元数据文件提供从入门歌曲到退出歌曲的转换。 在至少一些实施例中,转换元数据文件由提供从特定输入歌曲到特定退出歌曲的转换的DJ服务创建。
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公开(公告)号:US20110320380A1
公开(公告)日:2011-12-29
申请号:US12822068
申请日:2010-06-23
申请人: Jessica E. Zahn , Erick L. Fejta
发明人: Jessica E. Zahn , Erick L. Fejta
CPC分类号: H04N21/4668 , G06Q30/0282 , H04N21/4788 , H04N21/4826
摘要: Video content recommendations are described. In embodiments, a request for a recommendation of video content is received from a client device, and the recommendation includes identifiers of video assets for an optimal viewing schedule for a user. A utility of each video asset can be determined that indicates a social value of a video asset to the user. A time relevance of each video asset can also be determined that indicates how soon the user may select to watch the video asset, based at least in part on the social value of the video asset. The optimal viewing schedule can then be generated based on the utility of each video asset and the time relevance that is associated with each video asset. The optimal viewing schedule includes recommended video assets that, when watched by the user, provide the most social value in the shortest amount of viewing time.
摘要翻译: 描述视频内容建议。 在实施例中,从客户端设备接收到对视频内容的推荐的请求,并且该推荐包括用于用户的最佳观看时间表的视频资产的标识符。 可以确定每个视频资产的实用程序,其指示用户的视频资产的社会价值。 还可以至少部分地基于视频资产的社会价值来确定每个视频资产的时间相关性,其指示用户可以多久选择观看视频资产。 然后可以基于每个视频资产的效用和与每个视频资产相关联的时间相关性来生成最佳观看时间表。 最佳观看时间表包括推荐的视频资源,当用户观看时,以最短的观看时间提供最多的社交价值。
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