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公开(公告)号：US20170344552A1
公开(公告)日：2017-11-30
申请号：US15165557
申请日：2016-05-26
申请人： YAHOO! INC.
发明人： Nadav Golbandi , Xing Yi , Liangjie Hong
IPC分类号： G06F17/30
CPC分类号： G06F16/24578 , G06F16/9535
摘要： Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods leverage the display screen sizes of information cards to improve the accuracy and efficiency of displayed search results. The disclosed systems and methods can be implemented in search and recommendation systems for optimally performing a search and displaying the results of the search based on, among other features, the size of the cards providing each search result and the display size of the screen displaying such results.
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公开(公告)号：US09411829B2
公开(公告)日：2016-08-09
申请号：US13913943
申请日：2013-06-10
申请人： YAHOO! INC.
发明人： Jia Li , Nadav Golbandi , XianXing Zhang
IPC分类号： G06F17/30
CPC分类号： G06F17/30274 , G06F17/30253 , G06F17/30256 , G06F17/30687 , G06F17/30713 , G06K9/4642 , G06K9/6223 , G06K9/6226 , G06K9/6262
摘要： Disclosed herein is a system and method that facilitate searching and/or browsing of images by clustering, 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.
摘要翻译： 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）将图像聚类或分组成一组图像群集来促进搜索和/或浏览图像，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。
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3.发明申请公开(公告)号：US20160092432A1
公开(公告)日：2016-03-31
申请号：US14880579
申请日：2015-10-12
申请人： YAHOO! INC.
CPC分类号： G06F17/277 , G06F3/0237 , G06F3/048 , G06F17/276 , H04L51/26 , H04L67/22 , H04M1/00 , H04M2250/70 , H04W4/12 , H04W4/14
摘要： Disclosed is a system and method for suggesting messages that are automatically learned, personalized and diversified by leveraging messages sent by a large number of users in order to provide message completions that are as engaging as possible. The disclosed systems and methods learn from recurrent messages sent to a recipient, and suggest message completions based upon user behavior. The systems and methods compute a ranked list of suggested message completions after every key stroke or character input, and if the list satisfies a given confidence threshold, it is returned and displayed to the user.
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公开(公告)号：US20140363075A1
公开(公告)日：2014-12-11
申请号：US13913943
申请日：2013-06-10
申请人： YAHOO! INC.
发明人： Jia Li , Nadav Golbandi , XianXing Zhang
IPC分类号： G06K9/62
CPC分类号： G06F17/30274 , G06F17/30253 , G06F17/30256 , G06F17/30687 , G06F17/30713 , G06K9/4642 , G06K9/6223 , G06K9/6226 , G06K9/6262
摘要： Disclosed herein is a system and method that facilitate searching and/or browsing of images by clustering, 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.
摘要翻译： 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）将图像聚类或分组成一组图像群集来促进搜索和/或浏览图像，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。
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公开(公告)号：US11113079B2
公开(公告)日：2021-09-07
申请号：US15132316
申请日：2016-04-19
申请人： Yahoo!, Inc.
发明人： Nadav Golbandi
IPC分类号： G06F9/44 , G06F3/14 , G06F3/0482 , G06F3/0484 , G06Q50/12 , G06Q10/02 , G06F9/451 , G06F3/0481
摘要： One or more computing devices, systems, and/or methods for assisting a user in performing a task are provided. For example, a request may be received from the user via a messaging interface, and the task (e.g., make a reservation) may be determined (e.g., identified) based upon the request. Questions associated with information required (e.g., name, location, dates, etc.) to perform the task may be determined and provided. Visual elements (e.g., selectable buttons) corresponding to answer choices associated with the questions may be provided. A selection of a first visual element of the visual elements may be received, and the task may be performed based upon the selection of the first visual element.
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公开(公告)号：US09934466B2
公开(公告)日：2018-04-03
申请号：US14446495
申请日：2014-07-30
申请人： YAHOO! INC.
发明人： Eshcar Hillel , Michal Aharon , Nadav Golbandi
CPC分类号： G06N5/04
摘要： Disclosed herein is an enhanced device personalization that personalizes a user's experience with a device, e.g., a multi-user device. Rather than personalizing based on the specific user(s) that are using, an active entity, which represents a type of consumption, may be generated and used to make recommendations for personalizing an experience using the device. In a case of a multi-user device, each user's experience is personalized by determining an active entity for the user's experience and without knowledge of which user is using the device.
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公开(公告)号：US20170371900A1
公开(公告)日：2017-12-28
申请号：US15190030
申请日：2016-06-22
申请人： Yahoo! Inc.
发明人： Nadav Golbandi , Uri Schonfeld
CPC分类号： G06F17/30277 , G06F17/30265 , G06F17/30867 , G06T11/60
摘要： 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.
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公开(公告)号：US20170300345A1
公开(公告)日：2017-10-19
申请号：US15132316
申请日：2016-04-19
申请人： Yahoo!, Inc.
发明人： Nadav Golbandi
IPC分类号： G06F9/44 , G06F3/14 , G06F3/0482 , G06F3/0484 , G06Q50/12 , G06Q10/02
CPC分类号： G06F9/453 , G06F3/0481 , G06Q10/02 , G06Q50/12
摘要： One or more computing devices, systems, and/or methods for assisting a user in performing a task are provided. For example, a request may be received from the user via a messaging interface, and the task (e.g., make a reservation) may be determined (e.g., identified) based upon the request. Questions associated with information required (e.g., name, location, dates, etc.) to perform the task may be determined and provided. Visual elements (e.g., selectable buttons) corresponding to answer choices associated with the questions may be provided. A selection of a first visual element of the visual elements may be received, and the task may be performed based upon the selection of the first visual element.
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9.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
申请人： Yahoo! Inc.
CPC分类号： G06F17/30312 , G06Q30/0631 , G09B19/00
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US20160034815A1
公开(公告)日：2016-02-04
申请号：US14446495
申请日：2014-07-30
申请人： YAHOO! INC.
发明人： Eshcar Hillel , Michal Aharon , Nadav Golbandi
CPC分类号： G06N5/04
摘要： Disclosed herein is an enhanced device personalization that personalizes a user's experience with a device, e.g., a multi-user device. Rather than personalizing based on the specific user(s) that are using, an active entity, which represents a type of consumption, may be generated and used to make recommendations for personalizing an experience using the device. In a case of a multi-user device, each user's experience is personalized by determining an active entity for the user's experience and without knowledge of which user is using the device.
摘要翻译： 这里公开了一种增强的设备个性化，其使用诸如多用户设备的设备来个性化用户体验。 不是基于正在使用的特定用户进行个性化，而是可以生成表示消费类型的活动实体，并且用于为使用该设备个性化体验的建议。 在多用户设备的情况下，通过为用户的体验确定活动实体并且不知道哪个用户正在使用该设备来个性化每个用户的体验。
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