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公开(公告)号:US10102227B2
公开(公告)日:2018-10-16
申请号:US15924923
申请日:2018-03-19
Applicant: OATH INC.
Inventor: Jia Li , Nadav Golbandi , XianXing Zhang
Abstract: 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.
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公开(公告)号:US20210117465A1
公开(公告)日:2021-04-22
申请号:US17135933
申请日:2020-12-28
Applicant: Oath Inc.
Inventor: Nadav Golbandi , Uri Schonfeld
IPC: G06F16/532 , G06T11/60 , G06F16/9535 , G06F16/58
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.
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公开(公告)号:US20190251119A1
公开(公告)日:2019-08-15
申请号:US16393836
申请日:2019-04-24
Applicant: Oath Inc.
Inventor: Nadav Golbandi , Uri Schonfeld
IPC: G06F16/532 , G06F16/58 , G06T11/60 , G06F16/9535
CPC classification number: G06F16/532 , G06F16/58 , G06F16/9535 , G06T11/60
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.
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公开(公告)号:US10664484B2
公开(公告)日:2020-05-26
申请号:US15165557
申请日:2016-05-26
Applicant: OATH INC.
Inventor: Nadav Golbandi , Xing Yi , Liangjie Hong
IPC: G06F16/2457 , G06F16/9535
Abstract: 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:US20180210898A1
公开(公告)日:2018-07-26
申请号:US15924923
申请日:2018-03-19
Applicant: OATH INC.
Inventor: Jia Li , Nadav Golbandi , XianXing ZHANG
CPC classification number: G06F17/30274 , G06F17/30253 , G06F17/30256 , G06F17/30687 , G06F17/30713 , G06K9/4642 , G06K9/6223 , G06K9/6226 , G06K9/6262
Abstract: 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.
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