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    • 1. 发明授权
    • Automatic tag extraction from audio annotated photos
    • 从音频注释照片自动提取标签
    • US08768693B2
    • 2014-07-01
    • US13485159
    • 2012-05-31
    • Oren SomekhNadav GolbandiLiran KatzirRonny LempelYoelle Maarek
    • Oren SomekhNadav GolbandiLiran KatzirRonny LempelYoelle Maarek
    • G10L19/00H04N5/76
    • G06F17/30265G10L15/26
    • A system and method for assigning one or more tags to an image file. In one aspect, a server computer receives an image file captured by a client device. In one embodiment, the image file includes an audio component embedded therein by the client device, where the audio component was spoken by a user of the client device as a tag of the image file. The server computer determines metadata associated with the image file and identifies a dictionary of potential textual tags from the metadata. The server computer determines a textual tag from the audio component and from the dictionary of potential textual tags. The server computer then associates the textual tag with the image file as additional metadata.
    • 一种用于将一个或多个标签分配给图像文件的系统和方法。 在一个方面,服务器计算机接收由客户端设备捕获的图像文件。 在一个实施例中,图像文件包括由客户端设备嵌入其中的音频组件,其中音频组件被客户端设备的用户说出来作为图像文件的标签。 服务器计算机确定与图像文件相关联的元数据,并从元数据中识别潜在文本标签的字典。 服务器计算机从音频组件和潜在文本标签的字典中确定文本标记。 然后,服务器计算机将文本标签与图像文件相关联,作为附加元数据。
    • 5. 发明授权
    • Media recommendation using internet media stream modeling
    • 媒体推荐使用互联网媒体流建模
    • US09582767B2
    • 2017-02-28
    • US13473034
    • 2012-05-16
    • Oren SomekhYehuda KorenNatalie Aizenberg
    • Oren SomekhYehuda KorenNatalie Aizenberg
    • G06F17/30G06N99/00
    • G06N99/005
    • Media item recommendations, such as music track recommendations, may be made using one or more models generated using data collected from a plurality of media stream sources, such as, for example, Internet radio stations. In an initial, bootstrapping phase, data about media items and media stream playlists of media stream sources may be used to generate a model, which comprises latent factor vectors, or learned profiles, of media items, e.g., tracks, artists, etc. Such a bootstrapping phase may be performed without user data, such as user playlists and/or user feedback, to generate a model that may be used to make media item recommendations. As user data becomes available, e.g., as users of a recommendation service provide user data, the user data may be used to supplement and/or update the model and/or to create user profiles.
    • 可以使用使用从多个媒体流源(例如,因特网广播站)收集的数据生成的一个或多个模型来进行媒体项目建议,诸如音乐轨道建议。 在初始的引导阶段,可以使用关于媒体项目和媒体流源的媒体流播放列表的数据来生成包括媒体项目(例如,音轨,艺术家等)的潜在因素向量或学习简档的模型。 可以执行引导阶段,而不需要诸如用户播放列表和/或用户反馈的用户数据来生成可用于制作媒体项目建议的模型。 当用户数据变得可用时,例如,当推荐服务的用户提供用户数据时,用户数据可以用于补充和/或更新模型和/或创建用户简档。
    • 6. 发明申请
    • MEDIA RECOMMENDATION USING INTERNET MEDIA STREAM MODELING
    • 使用互联网媒体流媒体建模的媒体推荐
    • US20130311163A1
    • 2013-11-21
    • US13473034
    • 2012-05-16
    • Oren SomekhYehuda KorenNatalie Aizenberg
    • Oren SomekhYehuda KorenNatalie Aizenberg
    • G06F9/455
    • G06N99/005
    • Media item recommendations, such as music track recommendations, may be made using one or more models generated using data collected from a plurality of media stream sources, such as, for example, Internet radio stations. In an initial, bootstrapping phase, data about media items and media stream playlists of media stream sources may be used to generate a model, which comprises latent factor vectors, or learned profiles, of media items, e.g., tracks, artists, etc. Such a bootstrapping phase may be performed without user data, such as user playlists and/or user feedback, to generate a model that may be used to make media item recommendations. As user data becomes available, e.g., as users of a recommendation service provide user data, the user data may be used to supplement and/or update the model and/or to create user profiles.
    • 可以使用使用从多个媒体流源(例如,因特网广播站)收集的数据生成的一个或多个模型来进行媒体项目建议,诸如音乐轨道建议。 在初始的引导阶段,可以使用关于媒体项目和媒体流源的媒体流播放列表的数据来生成包括媒体项目(例如,音轨,艺术家等)的潜在因素向量或学习简档的模型。 可以执行引导阶段,而不需要诸如用户播放列表和/或用户反馈的用户数据来生成可用于制作媒体项目建议的模型。 当用户数据变得可用时,例如,当推荐服务的用户提供用户数据时,用户数据可以用于补充和/或更新模型和/或创建用户简档。