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公开(公告)号:US09836525B2
公开(公告)日:2017-12-05
申请号:US15199420
申请日:2016-06-30
申请人: Yahoo Holdings, Inc.
发明人: Mike Wexler , Brian Webb
IPC分类号: G06F17/30
CPC分类号: G06F17/30598 , G06F17/30321 , G06F17/3033 , G06F17/30345
摘要: A content item categorizer system retrieves content items from Internet sources. If a retrieved content item includes sufficient information for traditional categorization methods, then the system assigns one or more categories to the content item using such traditional methods. The system creates a metadata model, based on information about traditionally-categorized content items, that maps at least hashtags from the content items to one or more content categories. When the system retrieves a sparse-info item that does not include sufficient information for traditional categorization, the system applies the metadata model to categorize the content item using at least hashtags in the sparse-info item. The metadata model may also include information indicating mappings between categories and coincidence of hashtags and additional content item attributes. Also, the metadata model may provide information for categorizing sparse-info items based on multiple hashtags in the sparse-info item metadata.
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公开(公告)号:US09819765B2
公开(公告)日:2017-11-14
申请号:US13411310
申请日:2012-03-02
IPC分类号: H04L29/08 , G06Q10/10 , H04W4/18 , G06F17/30 , H04L12/58 , G06F3/0489 , G06F17/24 , G06F3/023 , H04W4/02
CPC分类号: H04L67/306 , G06F3/0237 , G06F3/04895 , G06F17/243 , G06F17/3053 , G06F17/30616 , G06F17/3064 , G06F17/30648 , G06F17/30663 , G06F17/30702 , G06F17/30867 , G06Q10/107 , H04L51/00 , H04L51/02 , H04L51/16 , H04L51/22 , H04L51/28 , H04L51/32 , H04L67/18 , H04W4/02 , H04W4/18
摘要: Systems and methods to provide assistance for completion during user input. In one embodiment, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing emails. When a user is typing an input, the profiles are used to identify suggestions for the completion of the user input.
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公开(公告)号:US09787322B2
公开(公告)日:2017-10-10
申请号:US15334046
申请日:2016-10-25
申请人: Yahoo! Inc.
CPC分类号: H03M7/3059 , H03M7/40
摘要: Briefly, methods and/or systems of processing content entries are described. An example may comprise determining equivalent byte values of characters that form the content entries. The content entries may be transformed based, at least in part, on the equivalent byte values and compressed using, for example, delta compression.
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公开(公告)号:US09756122B2
公开(公告)日:2017-09-05
申请号:US14664043
申请日:2015-03-20
申请人: Yahoo! Inc.
发明人: Mike Wexler , Robert Ames , Ian Flint
IPC分类号: G06F15/173 , H04L29/08 , H04L12/26 , H04L12/24
CPC分类号: H04L67/1029 , H04L41/044 , H04L43/022 , H04L43/0876
摘要: In one embodiment, in a hierarchy of nodes, a master node having two or more child nodes obtains from the two or more child nodes two or more sets of data samples or summaries associated therewith, the two or more sets of data samples being representative of traffic processed via two or more sets of servers corresponding to the two or more child nodes, wherein a size of each of the two or more sets of data samples is proportional to an allocation of traffic among the two or more sets of servers corresponding to the two or more child nodes. Each of the two or more sets of data samples is obtained from a different one of the two or more child nodes and represents traffic processed by a corresponding one of the two or more sets of servers. The master node combines the two or more sets of data samples or summaries associated therewith such that a combined set of data is generated. The master node ascertains a numerical value from the combined set of data.
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公开(公告)号:US09747583B2
公开(公告)日:2017-08-29
申请号:US13534612
申请日:2012-06-27
申请人: Peter Monaco
发明人: Peter Monaco
CPC分类号: G06Q10/107 , G06F17/30722 , G06F17/30867 , G06F17/30902 , G06Q50/01 , H04L51/16 , H04L67/30 , H04L67/306
摘要: Entity profile information is presented to a user of a computing device. In one embodiment, a method includes: receiving a communication associated with a first entity; in response to receiving the communication, creating or updating, by at least one processor, a first entity profile, wherein the first entity profile is for display to the user on the computing device; and storing a plurality of entity profiles for entities, the entity profiles including the first entity profile.
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公开(公告)号:US09743120B2
公开(公告)日:2017-08-22
申请号:US11742330
申请日:2007-04-30
申请人: Chris Kalaboukis
发明人: Chris Kalaboukis
IPC分类号: H04N21/236 , H04N7/173 , H04N21/234 , H04N21/2389 , H04N21/434 , H04N21/44 , H04N21/472 , H04N21/81
CPC分类号: H04N21/23614 , H04N7/17318 , H04N21/23424 , H04N21/23892 , H04N21/4348 , H04N21/44016 , H04N21/472 , H04N21/8106
摘要: This disclosure describes methods and systems for viewing a collection of media objects, such as a video clip and associated responses (video, audio and text), in a seamless way. Provided with a media object and a series of responses and counter responses, a real time media combining methodology is coupled with a text and audio conversion process to generate a media stream, or downloadable media object, that contains the original media object and some or all of the associated responses. The media content is formatted into the stream so that ancillary content, like text associated with a particular video response, may also be displayed. Advertisements may be inserted into the stream between responses or overlaying some portion of the viewing area during rendering of the stream.
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公开(公告)号:US09740794B2
公开(公告)日:2017-08-22
申请号:US11613838
申请日:2006-12-20
申请人: Soujanya Bhumkar , Mayank Mehta , Austin Shoemaker
发明人: Soujanya Bhumkar , Mayank Mehta , Austin Shoemaker
CPC分类号: G06F17/30899 , G06F17/30991
摘要: Previews of a target web site or other Internet-accessible resource are displayed in response to cursor control events. The previews are displayed in preview windows, which may have associated toolbars that include functions permitting various manipulations of the content displayed in the preview window. In some cases, the target web site is displayed as an image thereof in the preview window.
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公开(公告)号:US09727565B2
公开(公告)日:2017-08-08
申请号:US14290214
申请日:2014-05-29
申请人: Yahoo! Inc.
发明人: Gerry Pesavento , Huy X. Nguyen
CPC分类号: G06F17/30038 , G06F17/30041 , G06F17/30044 , G06K9/00664 , G06K2209/27
摘要: In one embodiment, a set of tags that has been generated by performing computer vision analysis of image content of a visual media item may be obtained, where each tag of the set of tags has a corresponding probability. In addition, a set of information that is independent from the image content of the visual media item may be obtained. The probability of at least a portion of the set of tags may be modified based, at least in part, upon the set of information.
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公开(公告)号:US11514081B2
公开(公告)日:2022-11-29
申请号:US15253062
申请日:2016-08-31
申请人: Yahoo Holdings, Inc.
发明人: Kaylan Kanuri , Wendell Baker , Alvaro Mendez , Gergely Timar
IPC分类号: G06F16/28 , H04L67/306 , H04L67/50
摘要: A system for generating a cluster profile is provided. The system may include a server and a database. The server may be configured to receive event information from a plurality of consumer devices. The database may store a plurality of member profiles. The server may be configured to retrieve the member profiles from the database and may determine a subset of member profiles to associate with a cluster; the server may calculate an intersection of the facts from the subset of member profiles and may generate a cluster profile based on the intersection of the facts from the subset of member profiles.
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公开(公告)号:US11436628B2
公开(公告)日:2022-09-06
申请号:US15789452
申请日:2017-10-20
申请人: Yahoo Holdings, Inc.
发明人: Suleyman Cetintas , Jian Yang , Ben Shahshahani
摘要: Systems, devices, and methods are disclosed for predicting potential effectiveness of query-triggered internet advertisements received from different web page publishers using a deep learning neural network language model for clustering queries, and for automatically adjusting bids for advertisements by advertisers based on the predicted potential effectiveness. Using query-clusters rather than queries for adjusting bids for advertisements allows for more accurate and more consistent bidding strategy despite of sparsity in historical advertisement performance data, higher return on investments for the advertisers, and higher revenue for the publishers of the advertisements.
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