SELECTIVE SCREEN SHARING
    12.
    发明申请

    公开(公告)号:US20170149710A1

    公开(公告)日:2017-05-25

    申请号:US14949024

    申请日:2015-11-23

    Applicant: Yahoo! Inc.

    CPC classification number: H04L51/12 H04L51/10 H04L51/14 H04W12/02 H04W12/08

    Abstract: Method, systems, and computer-readable for selectively sharing media among two or more client devices. Initially, media (e.g., image(s), video, audio, text, etc.) can be rendered via a first client device. Portions of the media rendered on a first client device can be selectively encoded, thereby masking the selectively encoded portions. The media can then be shared, including the encoded portions, with a second client device. Using the first client device, an operation can be implemented for authorizing decoding of the portions of the media by the second client device, thereby allowing the decoded portions of the media to be rendered by the second client device without masking.

    Almost online large scale collaborative filtering based recommendation system
    13.
    发明授权
    Almost online large scale collaborative filtering based recommendation system 有权
    几乎在线大型协同过滤推荐系统

    公开(公告)号:US09348924B2

    公开(公告)日:2016-05-24

    申请号:US14123321

    申请日:2013-03-15

    Applicant: Yahoo! Inc.

    CPC classification number: G06F17/30867 G06Q30/0269

    Abstract: A method for adjusting one or more parameters associated with a model. The method comprises obtaining, from a first source, first information related to activity of a user. The method further comprises adjusting one or more parameters associated with a model based on the first information collected within a first length of time, and obtaining, from a second source, second information related to activity of the user. The method further comprises adjusting the one or more parameters associated with the model based on the second information collected within a second length of time and a measure indicative of performance of the model, wherein the second length of time is larger than the first length of time.

    Abstract translation: 一种用于调整与模型相关联的一个或多个参数的方法。 该方法包括从第一来源获得与用户的活动相关的第一信息。 该方法还包括基于在第一时间长度内收集的第一信息调整与模型相关联的一个或多个参数,以及从第二来源获得与用户活动相关的第二信息。 该方法还包括基于在第二时间长度内收集的第二信息和指示模型性能的量度来调整与模型相关联的一个或多个参数,其中第二时间长度大于第一时间长度 。

    METHOD AND SYSTEM FOR COLD-START ITEM RECOMMENDATION
    14.
    发明申请
    METHOD AND SYSTEM FOR COLD-START ITEM RECOMMENDATION 审中-公开
    用于加速项目建议的方法和系统

    公开(公告)号:US20160110646A1

    公开(公告)日:2016-04-21

    申请号:US14519273

    申请日:2014-10-21

    Applicant: Yahoo! Inc.

    Abstract: Method, system, and programs for estimating interests of a plurality of users with respect to a new piece of information are disclosed. In one example, historical interests of the plurality of users are obtained with respect to one or more existing pieces of information. One or more users are selected from the plurality of users. Historical interests of the one or more users can minimize an objective function over the plurality of users. Interests of the one or more users are obtained with respect to the new piece of information. Estimated interests of the plurality of users are generated with respect to the new piece of information based on the obtained interests of the one or more users.

    Abstract translation: 公开了用于估计关于新信息的多个用户的兴趣的方法,系统和程序。 在一个示例中,针对一个或多个现有的信息获得多个用户的历史兴趣。 从多个用户中选择一个或多个用户。 一个或多个用户的历史兴趣可以使多个用户的目标功能最小化。 获得关于新的信息的一个或多个用户的兴趣。 基于获得的一个或多个用户的兴趣,针对新的信息片段生成多个用户的估计兴趣。

    Generic card feature extraction based on card rendering as an image

    公开(公告)号:US10318573B2

    公开(公告)日:2019-06-11

    申请号:US15190030

    申请日:2016-06-22

    Applicant: Yahoo! Inc.

    Abstract: Methods and apparatus for using features of images representing content items to improve the presentation of the content items are disclosed. In one embodiment, a plurality of digital images are obtained, where each of the images represents a corresponding one of a plurality of content items. Image features of each of the digital images are determined. Additional features including at least one of user features pertaining to a user of a client device or contextual features pertaining to the client device are ascertained. At least a portion of the content items are provided via a network to the client device using features that include or are derived from both the image features of each of the plurality of digital images and the additional features.

    IMAGE-BASED FACETED SYSTEM AND METHOD
    16.
    发明申请
    IMAGE-BASED FACETED SYSTEM AND METHOD 有权
    基于图像的面向系统和方法

    公开(公告)号:US20160342626A1

    公开(公告)日:2016-11-24

    申请号:US15225908

    申请日:2016-08-02

    Applicant: Yahoo! Inc.

    Abstract: Disclosed herein is a system and method that facilitate searching and/or browsing of images by &lustering, or grouping, the images into a set of image clusters using facets, such as without limitation visual properties or visual characteristics, of the images, and representing each image cluster by a representative image selected for the image cluster. A map-reduce based probabilistic topic model may be used to identify one or more images belonging to each image cluster and update model parameters.

    Abstract translation: 本文公开了一种系统和方法,其通过使用小平面(例如但不限于图像的视觉特性或视觉特征)将图像和图像分类或组合成一组图像簇来促进图像的搜索和/或浏览,并且表示每个图像 通过为图像集群选择的代表图像进行图像聚类。 可以使用基于地图缩减的概率主题模型来识别属于每个图像簇的一个或多个图像和更新模型参数。

    Constructing travel itineraries from tagged geo-temporal photographs
    17.
    发明授权
    Constructing travel itineraries from tagged geo-temporal photographs 有权
    从标记的地理时间照片构建旅游行程

    公开(公告)号:US09151618B2

    公开(公告)日:2015-10-06

    申请号:US14082063

    申请日:2013-11-15

    Applicant: Yahoo! Inc.

    CPC classification number: G01C21/00 G01C21/343

    Abstract: One embodiment accesses two or more photos taken by one or more travelers at one or more destinations and one or more points-of-interest located within the destinations; constructs one or more photo streams for each unique traveler-destination combination, wherein each one of the photo streams comprises two or more of the photos taken by the corresponding traveler at the corresponding destination; maps each one of the photos to one of the points-of-interest; constructs one or more timed paths for each unique traveler-destination combination based on the photo streams and the mapping between the photos and the points-of-interest, wherein each one of the timed paths comprises one or more of the points-of-interest located within the corresponding destination and visited by the corresponding travel; and constructs an itinerary based on a start point-of-interest, an end point-of-interest, a time constraint, and the timed paths.

    Abstract translation: 一个实施例访问位于目的地内的一个或多个目的地和一个或多个兴趣点的一个或多个旅行者拍摄的两张或多张照片; 为每个唯一的旅行者 - 目的地组合构建一个或多个照片流,其中每个照片流包括由相应旅行者在相应目的地拍摄的两张或更多张照片; 将每张照片映射到一个兴趣点; 基于照片流和照片和感兴趣点之间的映射来为每个唯一的旅行者 - 目的地组合构建一个或多个定时路径,其中每个定时路径包括一个或多个兴趣点 位于相应目的地内并由相应旅行访问; 并基于起始兴趣点,终点感兴趣,时间约束和定时路径构建行程。

    ALMOST ONLINE LARGE SCALE COLLABORATIVE FILTERING BASED RECOMMENDATION SYSTEM
    18.
    发明申请
    ALMOST ONLINE LARGE SCALE COLLABORATIVE FILTERING BASED RECOMMENDATION SYSTEM 有权
    在线大型基于协同过滤的建议系统

    公开(公告)号:US20140280251A1

    公开(公告)日:2014-09-18

    申请号:US14123321

    申请日:2013-03-15

    Applicant: YAHOO! Inc.

    CPC classification number: G06F17/30867 G06Q30/0269

    Abstract: A method for adjusting one or more parameters associated with a model. The method comprises obtaining, from a first source, first information related to activity of a user. The method further comprises adjusting one or more parameters associated with a model based on the first information collected within a first length of time, and obtaining, from a second source, second information related to activity of the user. The method further comprises adjusting the one or more parameters associated with the model based on the second information collected within a second length of time and a measure indicative of performance of the model, wherein the second length of time is larger than the first length of time.

    Abstract translation: 一种用于调整与模型相关联的一个或多个参数的方法。 该方法包括从第一来源获得与用户的活动相关的第一信息。 该方法还包括基于在第一时间长度内收集的第一信息调整与模型相关联的一个或多个参数,以及从第二源获得与用户的活动相关的第二信息。 该方法还包括基于在第二时间长度内收集的第二信息和指示模型性能的量度来调整与模型相关联的一个或多个参数,其中第二时间长度大于第一时间长度 。

    CONSTRUCTING TRAVEL ITINERARIES FROM TAGGED GEO-TEMPORAL PHOTOGRAPHS
    19.
    发明申请
    CONSTRUCTING TRAVEL ITINERARIES FROM TAGGED GEO-TEMPORAL PHOTOGRAPHS 有权
    从标记的地理学摄影中构建旅行行程

    公开(公告)号:US20140149036A1

    公开(公告)日:2014-05-29

    申请号:US14082063

    申请日:2013-11-15

    Applicant: Yahoo! Inc.

    CPC classification number: G01C21/00 G01C21/343

    Abstract: One embodiment accesses two or more photos taken by one or more travelers at one or more destinations and one or more points-of-interest located within the destinations; constructs one or more photo streams for each unique traveler-destination combination, wherein each one of the photo streams comprises two or more of the photos taken by the corresponding traveler at the corresponding destination; maps each one of the photos to one of the points-of-interest; constructs one or more timed paths for each unique traveler-destination combination based on the photo streams and the mapping between the photos and the points-of-interest, wherein each one of the timed paths comprises one or more of the points-of-interest located within the corresponding destination and visited by the corresponding travel; and constructs an itinerary based on a start point-of-interest, an end point-of-interest, a time constraint, and the timed paths.

    Abstract translation: 一个实施例访问位于目的地内的一个或多个目的地和一个或多个兴趣点的一个或多个旅行者拍摄的两张或多张照片; 为每个唯一的旅行者 - 目的地组合构建一个或多个照片流,其中每个照片流包括由相应旅行者在相应目的地拍摄的两张或更多张照片; 将每张照片映射到一个兴趣点; 基于照片流和照片和感兴趣点之间的映射来为每个唯一的旅行者 - 目的地组合构建一个或多个定时路径,其中每个定时路径包括一个或多个兴趣点 位于相应目的地内并由相应旅行访问; 并基于起始兴趣点,终点感兴趣,时间约束和定时路径构建行程。

    Constructing travel itineraries from tagged geo-temporal photographs

    公开(公告)号:US08594925B2

    公开(公告)日:2013-11-26

    申请号:US13630680

    申请日:2012-09-28

    Applicant: Yahoo! Inc.

    CPC classification number: G01C21/00 G01C21/343

    Abstract: One embodiment accesses two or more photos taken by one or more travelers at one or more destinations and one or more points-of-interest located within the destinations; constructs one or more photo streams for each unique traveler-destination combination, wherein each one of the photo streams comprises two or more of the photos taken by the corresponding traveler at the corresponding destination; maps each one of the photos to one of the points-of-interest; constructs one or more timed paths for each unique traveler-destination combination based on the photo streams and the mapping between the photos and the points-of-interest, wherein each one of the timed paths comprises one or more of the points-of-interest located within the corresponding destination and visited by the corresponding travel; and constructs an itinerary based on a start point-of-interest, an end point-of-interest, a time constraint, and the timed paths.

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