METHOD AND SYSTEM FOR PROVIDING CONTENT SUPPLY ADJUSTMENT
    362.
    发明申请
    METHOD AND SYSTEM FOR PROVIDING CONTENT SUPPLY ADJUSTMENT 审中-公开
    提供内容供应调整的方法和系统

    公开(公告)号:US20170004542A1

    公开(公告)日:2017-01-05

    申请号:US14755483

    申请日:2015-06-30

    Applicant: Yahoo! Inc.

    Abstract: The present teaching relates to providing content supply adjustment. A first dataset associated with user interactions directed to one or more content items placed on a target property and a second dataset associated with user interactions directed to the one or more content items places on a reference property are received for evaluation. Further, a cost of placing the one or more content items on the target property is determined based on the first and second datasets.

    Abstract translation: 本教学涉及提供内容供应调整。 接收与针对放置在目标属性上的一个或多个内容项目的用户交互相关联的第一数据集,以及与指向参考属性上的一个或多个内容项目的用户交互相关联的第二数据集,用于评估。 此外,基于第一和第二数据集确定将一个或多个内容项目放置在目标属性上的成本。

    METHODS AND SYSTEMS FOR DETECTING AND RECOGNIZING TEXT FROM IMAGES
    363.
    发明申请
    METHODS AND SYSTEMS FOR DETECTING AND RECOGNIZING TEXT FROM IMAGES 审中-公开
    用于从图像中检测和识别文本的方法和系统

    公开(公告)号:US20170004374A1

    公开(公告)日:2017-01-05

    申请号:US14755817

    申请日:2015-06-30

    Applicant: YAHOO! INC.

    Inventor: Simon Osindero

    Abstract: Images that comprise text are identified and output from the images is generated wherein the output comprises text from the image in textual data format. The portions of an image comprising the text data are initially identified and the text imaged by the pixels of that image portion is extracted in textual data format. The extracted text is stored so that a search for images comprising particular text is enabled.

    Abstract translation: 识别包含文本的图像,并且生成从图像输出的图像,其中输出包括文本数据格式的来自图像的文本。 首先识别包括文本数据的图像的部分,并以文本数据格式提取由该图像部分的像素成像的文本。 存储提取的文本,使得能够搜索包括特定文本的图像。

    Efficient and fault-tolerant distributed algorithm for learning latent factor models through matrix factorization
    365.
    发明授权
    Efficient and fault-tolerant distributed algorithm for learning latent factor models through matrix factorization 有权
    通过矩阵分解学习潜在因子模型的有效和容错分布式算法

    公开(公告)号:US09535938B2

    公开(公告)日:2017-01-03

    申请号:US14123259

    申请日:2013-03-15

    Applicant: Yahoo! Inc.

    CPC classification number: G06F17/30312 G06Q30/0631 G09B19/00

    Abstract: A method for estimating model parameters. The method comprises receiving a data set related to a plurality of users and associated content, partitioning the data set into a plurality of sub data sets in accordance with the users so that data associated with each user are not partitioned into more than one sub data set, storing each of the sub data sets in a separate one of a plurality of user data storages, each of said data storages being coupled with a separate one of a plurality of estimators, storing content associated with the plurality of users in a content storage, where the content storage is coupled to the plurality of estimators so that the content in the content storage is shared by the estimators, and estimating, asynchronously by each estimator, one or more parameters associated with a model based on data from one of the sub data sets.

    Abstract translation: 一种估计模型参数的方法。 该方法包括:接收与多个用户相关的数据集和相关联的内容,根据用户将数据集划分成多个子数据集,使得与每个用户相关联的数据不被划分成多个子数据集 将每个子数据集存储在多个用户数据存储器中的单独一个中,每个所述数据存储器与多个估计器中的单独一个估计器耦合,将与多个用户相关联的内容存储在内容存储器中, 其中所述内容存储器耦合到所述多个估计器,使得所述内容存储器中的内容由所述估计器共享,并且由每个估计器异步地估计与来自所述子数据之一的数据的与模型相关联的一个或多个参数 套。

    USER INTERFACE ADJUSTMENT METHODS AND SYSTEMS
    366.
    发明申请
    USER INTERFACE ADJUSTMENT METHODS AND SYSTEMS 审中-公开
    用户界面调整方法和系统

    公开(公告)号:US20160378286A1

    公开(公告)日:2016-12-29

    申请号:US14749799

    申请日:2015-06-25

    Applicant: Yahoo!, Inc.

    Inventor: Tony Ke

    CPC classification number: G06F3/04883 G06F3/017 G06F3/04886

    Abstract: One or more systems and/or methods for adjusting a user interface based upon an orientation of an input object are provided. An input provided by an input object (e.g., a hand of the user) may be received through a display of a device (e.g., a touchscreen display of a smartphone). The input may comprises gesture data corresponding to a gesture performed relative to the display. The input may be evaluated to determine an orientation, such as a hand orientation, of the input object. In an example, curvature associated with the gesture may be evaluated to determine the orientation of the input object. A user interface displayed by the device may be adjusted based upon the orientation of the input object. In an example, a location, a size, an appearance, an output, and/or a functionality of a user interface element displayed within the user interface may be adjusted.

    Abstract translation: 提供了一种或多种用于基于输入对象的取向来调整用户界面的系统和/或方法。 可以通过设备的显示器(例如,智能电话的触摸屏显示器)来接收由输入对象(例如,用户的手)提供的输入。 输入可以包括对应于相对于显示执行的手势的手势数据。 可以评估输入以确定输入对象的方位,例如手取向。 在一个示例中,可以评估与手势相关联的曲率以确定输入对象的取向。 可以基于输入对象的方向来调整由设备显示的用户界面。 在一个示例中,可以调整在用户界面内显示的用户界面元素的位置,大小,外观,输出和/或功能。

    CROSS DEVICE INFORMATION EXCHANGE USING GESTURES AND LOCATIONS

    公开(公告)号:US20160373885A1

    公开(公告)日:2016-12-22

    申请号:US15243264

    申请日:2016-08-22

    Applicant: Yahoo! Inc.

    Abstract: A method, apparatus and software related product (e.g., a computer readable memory) are presented for exchanging information between two or more devices when they are in a close proximity using gestures and web technologies. According to an embodiment, the identification of one or more devices using gestures is asynchronous, so that the two or more devices do not have to be shaken together at the same time synchronously, which is one advantage over conventional approaches. Another advantage is that various embodiments described herein do not require a user to download any special software (application), and it can work on all platforms, for example, with HTML5-compliant browsers.

    CONTENT SUMMATION
    368.
    发明申请
    CONTENT SUMMATION 审中-公开
    内容建立

    公开(公告)号:US20160364479A1

    公开(公告)日:2016-12-15

    申请号:US14736658

    申请日:2015-06-11

    Applicant: Yahoo!, Inc.

    Abstract: As provided herein, a user of a client device is identified as viewing content (e.g., a movie) and generating user signals related to the content (e.g., a social network post about the movie). An expression of interest may be determined from the user signals (e.g., the user may write “this scene is amazing!” within the social network post). Responsive to the expression of interest exceeding an interest threshold, a timestamp is generated for a portion of the content occurring at a time corresponding to the expression of interest. A segment is extracted from the content based upon the timestamp. Summary content, such as a trailer or a summary video for the movie that depicts relatively interesting segments of the movie, is generated to comprise the segment and/or other segments. Users may view the summary content in order to obtain a brief overview of relatively interesting portions of the movie.

    Abstract translation: 如本文所提供的,客户端设备的用户被识别为观看内容(例如,电影)并且生成与内容相关的用户信号(例如,关于电影的社交网络帖子)。 感兴趣的表达可以从用户信号确定(例如,用户可以在社交网络帖子内写“这个场景是惊人的!”)。 响应于超过感兴趣阈值的兴趣表达,对于在与感兴趣的表达相对应的时间发生的内容的一部分,生成时间戳。 基于时间戳从内容中提取片段。 生成摘要内容,例如用于描绘电影的相对有趣的片段的电影的预告片或摘要视频,以构成片段和/或其他片段。 用户可以查看摘要内容,以便获得电影中相对有趣部分的简要概述。

    Media content enrichment using an adapted object detector
    369.
    发明授权
    Media content enrichment using an adapted object detector 有权
    使用适应对象检测器的媒体内容丰富

    公开(公告)号:US09519659B2

    公开(公告)日:2016-12-13

    申请号:US13894814

    申请日:2013-05-15

    Applicant: YAHOO! INC.

    Abstract: Disclosed herein are a system, method and architecture for media content enrichment. A visual object detector is trained using a training data set and an existing visual object detector. The newly-adapted visual object detector may be used to detect a visual object belonging to a class of visual object. The existing object detector that is used to train the adapted object detector detects a class of visual objects different from the visual object class detected by the adapted object detector. A media content item depicting a visual object detected using the adapted object detector may be associated with metadata, tag or other information about the detected visual object to enrich the media content item.

    Abstract translation: 这里公开了用于媒体内容丰富的系统,方法和架构。 使用训练数据集和现有的视觉对象检测器训练视觉对象检测器。 新适应的视觉对象检测器可以用于检测属于一类视觉对象的视觉对象。 用于训练适应对象检测器的现有对象检测器检测与适配对象检测器检测到的视觉对象类别不同的​​一类视觉对象。 描绘使用适配对象检测器检测到的可视对象的媒体内容项目可以与关于检测到的可视对象的元数据,标签或其他信息相关联,以丰富媒体内容项目。

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