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Patent Agency Ranking
公开(公告)号：US11514125B1
公开(公告)日：2022-11-29
申请号：US16706084
申请日：2019-12-06
Applicant: Amazon Technologies, Inc.
Inventor： Michinari Momma , Alireza Bagheri Garakani , Yi Sun
IPC: G06N5/00 , G06N20/20 , G06F16/9538 , G06F16/903 , G06F7/22 , G06N20/00 , G06Q30/06
Abstract: Devices and techniques are generally described for ranking of search results based on multiple objectives. A first ranking for a plurality of search results is determined using a first machine learning model optimized for a first objective for ranking search results. A second objective for ranking search results is determined. A constraint is determined for the at least one second objective. The first machine learning model is iteratively updated to generate an updated machine learning model by minimizing a cost of the first objective subject to the constraint, wherein violations of the constraint are penalized using a penalty term. A second ranking for the plurality of search results is determined using the updated machine learning model. The search results of the second ranking are reordered relative to the search results of the first ranking.
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公开(公告)号：US10453165B1
公开(公告)日：2019-10-22
申请号：US15470611
申请日：2017-03-27
Applicant: Amazon Technologies, Inc.
Inventor： Anton Kostov , Yi Sun
Abstract: Systems and methods are provided for implementing a computer vision model execution service. A computer vision model execution service may maintain a library of machine learning models, and may provide a standard interface for accessing a model or models. Models may implement schemas that specify an input vector and an output vector, and the computer vision model execution service may obtain or determine workflows that process input vectors through multiple computer vision models. The service further provides an interface for adding, removing, or updating models, and may provide feedback to modelers regarding the usage and performance of various machine learning models.
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公开(公告)号：US11636291B1
公开(公告)日：2023-04-25
申请号：US16996528
申请日：2020-08-18
Applicant: Amazon Technologies, Inc.
Inventor： Zhen Zuo , Lixi Wang , Jianfeng Lin , Yi Sun , Michinari Momma , Yikai Ni , Wenbo Wang , Xiangdong Qian , Deqiang Meng
IPC: G06K9/62 , G06N20/20 , G06V30/413
Abstract: Systems and techniques are generally described for determining similar content. First embedding data may be generated for first content based at least in part on a specified similarity task. A first query comprising the first embedding data may be generated and sent to a first database partition. A first search result representing second content may be determined using the first embedding data. A second query comprising the first embedding data may be generated and sent to a second database partition different from the first data base partition. A second search result representing third content may be determined using the first embedding data. In some examples, output data comprising at least one of the first search result and the second search result may be generated. The output data may represent content classified as similar to the first content.
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公开(公告)号：US11068715B1
公开(公告)日：2021-07-20
申请号：US16294284
申请日：2019-03-06
Applicant: Amazon Technologies, Inc.
Inventor： Zhen Zuo , Jinmiao Fu , Vikash Pansari , Yi Sun , Phani Harish Wajjala , Dheepikaa Natarajan , Xiangdong Qian , Yikai Ni , Jianfeng Lin , Nabajyoti Patowary , Gaurav Dasgupta , James Stevenson
Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for automated detection and extraction of nutrition information for food products. Example methods may include identifying at least a first image comprising nutritional data, generating a second image including a first portion of the first image, and generating a third image including a second portion of the first image. Some embodiments may include generating a fourth image using the second image, generating a fifth image using the third image, determining, using at least one of the second image and the fourth image, the first text, determining, using at least one of the third image and the fifth image, the second text, and causing at least a portion of the first text and a portion of the second text to be stored in association with a product identifier.
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公开(公告)号：US10467507B1
公开(公告)日：2019-11-05
申请号：US15491804
申请日：2017-04-19
Applicant: Amazon Technologies, Inc.
Abstract: An image quality assessment solution analyzes an image quality and a correlation of an image to an item description associated with the item. The content quality assessment may assign a quality score to the image based on a composition of the image and/or correlation with the image description. The score may be based on a model that is trained to analyze images using a learning model. Based on the image score, a correlation score, or other scores, the user may be given feedback on how to improve an image. A service provider providing this service may use the score to influence recommendation results that use the images.
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