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Patent Agency Ranking
1.发明申请公开(公告)号：US20170337611A1
公开(公告)日：2017-11-23
申请号：US15162022
申请日：2016-05-23
Applicant: Yahoo! Inc.
Inventor： Jen-Hao Hsiao , Shih-Ying Chen
Abstract: Method and system for electronic commerce are provided. An image of a user is obtained. A plurality of features based on the image of the user is determined. A group of products based on the plurality of features are selected. A recommendation to the user is provided based on the group of products.
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公开(公告)号：US09697442B2
公开(公告)日：2017-07-04
申请号：US14996063
申请日：2016-01-14
Applicant: YAHOO! INC.
Inventor： Jen-Hao Hsiao , Jia Li
CPC classification number: G06K9/6245 , G06K9/4647 , G06K9/522 , G06K9/6212 , G06K9/629 , G06K9/64
Abstract: In an embodiment, a method comprises obtaining a frequency domain representation associated with an image; obtaining one or more frequency domain representations of one or more object detection filters; generating a composite frequency domain representation based on the frequency domain representation associated with the image and the one or more frequency domain representations of the one or more object detection filters; and detecting one or more objects in the image based on the composite frequency domain representation. The frequency domain representation associated with the image may be obtained based on a forward transform performed on an image feature description. The image feature description may be obtained based on a feature extraction performed on the image. The one or more frequency domain representations of the one or more object detection filters may be obtained based on one or more Fourier transforms performed on the one or more object detection filters.
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公开(公告)号：US20170139913A1
公开(公告)日：2017-05-18
申请号：US14938990
申请日：2015-11-12
Applicant: Yahoo! Inc.
Inventor： Jen-Hao Hsiao
CPC classification number: G06F16/2255 , G06F16/182 , G06F16/278 , H04L67/1097
Abstract: The present teaching relates to methods, systems, and programming for data assignment in a distributed system. In one example, a plurality of tables is obtained. Each of the plurality of tables includes a plurality of buckets. Each of the plurality of tables is generated based on a same set of keys and a different function. The buckets in the plurality of tables are projected into different partitions. Data in the plurality of tables are assigned to a plurality of nodes in the distributed system such that data in buckets that are projected into a same partition are assigned to a same node in the distributed system.
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公开(公告)号：US20160110794A1
公开(公告)日：2016-04-21
申请号：US14518431
申请日：2014-10-20
Applicant: YAHOO! INC.
Inventor： Jen-Hao Hsiao , Nan Liu , Jia Li
CPC classification number: G06Q30/0631 , G06K9/00677 , G06K9/6256 , G06K9/6277
Abstract: Disclosed herein is item recommender that uses a model trained using a combination of at least visual item similarity training data and social activity training data. The model may be used, for example, to identify a set of recommended products having similar visual features as a given product. The set of recommended products may be presented to the user along with the given product. The model may be continuously updated using feedback from users to identify the features considered to be important to the users relative to other features.
Abstract translation: 本文公开了使用使用至少视觉项目相似性训练数据和社交活动训练数据的组合训练的模型的项目推荐者。 例如，该模型可以用于识别具有与给定产品相似的视觉特征的一组推荐产品。 推荐产品的集合可以与给定的产品一起呈现给用户。 可以使用来自用户的反馈来不断更新该模型，以识别被认为对用户相对于其他特征重要的特征。
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公开(公告)号：US09269025B1
公开(公告)日：2016-02-23
申请号：US14609220
申请日：2015-01-29
Applicant: YAHOO! INC.
Inventor： Jen-Hao Hsiao , Jia Li
CPC classification number: G06K9/6245 , G06K9/4647 , G06K9/522 , G06K9/6212 , G06K9/629 , G06K9/64
Abstract: In an embodiment, a method comprises obtaining a frequency domain representation associated with an image; obtaining one or more frequency domain representations of one or more object detection filters; generating a composite frequency domain representation based on the frequency domain representation associated with the image and the one or more frequency domain representations of the one or more object detection filters; and detecting one or more objects in the image based on the composite frequency domain representation. The frequency domain representation associated with the image may be obtained based on a forward transform performed on an image feature description. The image feature description may be obtained based on a feature extraction performed on the image. The one or more frequency domain representations of the one or more object detection filters may be obtained based on one or more Fourier transforms performed on the one or more object detection filters.
Abstract translation: 在一个实施例中，一种方法包括获得与图像相关联的频域表示; 获得一个或多个对象检测滤波器的一个或多个频域表示; 基于与所述图像相关联的频域表示和所述一个或多个对象检测滤波器的所述一个或多个频域表示来生成复合频域表示; 以及基于所述复合频域表示来检测所述图像中的一个或多个对象。 可以基于对图像特征描述执行的正向变换来获得与图像相关联的频域表示。 可以基于对图像执行的特征提取来获得图像特征描述。 可以基于对一个或多个对象检测滤波器执行的一个或多个傅里叶变换来获得一个或多个对象检测滤波器的一个或多个频域表示。
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