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公开(公告)号：US09665900B1
公开(公告)日：2017-05-30
申请号：US13913315
申请日：2013-06-07
Applicant: Amazon Technologies, Inc.
Inventor： Jeremy Todd Claeson , Darshan Dev Bildikar , Christopher Warren Bryant , Edward Charles Grenier , Samuel Stevens Heyworth , Sachin Midha , Balu Ramu , Ambareesha Raghothaman , Andrew Robert Toner
CPC classification number: G06Q30/0631
Abstract: Systems and methods herein can generate sales rankings for parts based on one or more metrics, such as geographic location of purchasers of the parts or based on items owned by users that function in conjunction with the parts. The systems can present the sales rankings to a user based on another item owned by the user. For example, sales rankings of memory can be presented to a user based on a laptop model owned by the user. Thus, users can determine how popular a part is among particular segments of the population, such as among users living in a certain geographic region, or among users who own a particular item designed to operate with the part. Moreover, the sales rankings can be used to generate recommendations of parts based on a corresponding item owned by the user that is configured to function with the part type.
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公开(公告)号：US11869490B1
公开(公告)日：2024-01-09
申请号：US16993482
申请日：2020-08-14
Applicant: Amazon Technologies, Inc.
Inventor： Rahul Gupta , Jwala Dhamala , Melanie C B Gens , Sachin Midha , Jennifer Yuen , Dewan Muhammed Ibtesham , Wael Hamza , Xinhong Zhang , Md Humayun Arafat
IPC: G10L15/183 , G10L15/06 , G06N3/08 , G06N20/00
CPC classification number: G10L15/183 , G06N3/08 , G06N20/00 , G10L15/063
Abstract: Techniques for tuning parameters for machine learning models are described. Different values for a parameter are tested to determine the value that results in an optimized model. A parameter value may be selected for testing using a search algorithm based on how the model performs with respect to other values for the parameter. Different values may be tested until a stopping criterion (such as time for testing, number of trials, amount of enhancement in performance, etc.) is met. In some embodiments, the techniques may be used to determine parameter values for natural language processing models.
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公开(公告)号：US20200349626A1
公开(公告)日：2020-11-05
申请号：US16932551
申请日：2020-07-17
Applicant: Amazon Technologies, Inc.
Inventor： Meghan Lagoni , Chad Pham Driesbach , Andrew Robert Toner , Sachin Midha , Jai P. Chabria , Nirav Praful Desai , Brad P. Bonnett , Nicholas Stephen Bogert , Thiyagarajan Ramasamy
IPC: G06Q30/06 , G06F16/951 , G06F16/33
Abstract: The systems and methods disclosed herein can increase the speed and ease with which a user can discover compatible replacement parts for a specified model of a product by automatically determining when the user is interested in replacement parts. A replacement part system can conclude that a user is looking for replacement parts based on the user's search queries, the user's browsing behavior, or the user's prior purchases. By automatically deducing an intention to purchase a replacement part, the replacement part system can make it easier for a user to locate suitable replacement parts. In addition, the replacement part system can be configured to tailor listing set of replacement parts search results it provides to a user. The set of search results can be tailored based on a number of criteria to increase the speed with which the user finds a compatible replacement part.
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公开(公告)号：US20160260152A1
公开(公告)日：2016-09-08
申请号：US14637328
申请日：2015-03-03
Applicant: Amazon Technologies, Inc.
Inventor： Meghan Lagoni , Chad Pham Driesbach , Andrew Robert Toner , Sachin Midha , Jai P. Chabria , Nirav Praful Desai , Brad P. Bonnett , Nicholas Stephen Bogert , Thiyagarajan Ramasamy
Abstract: The systems and methods disclosed herein can increase the speed and ease with which a user can discover compatible replacement parts for a specified model of a product by automatically determining when the user is interested in replacement parts. A replacement part system can conclude that a user is looking for replacement parts based on the user's search queries, the user's browsing behavior, or the user's prior purchases. By automatically deducing an intention to purchase a replacement part, the replacement part system can make it easier for a user to locate suitable replacement parts. In addition, the replacement part system can be configured to tailor listing set of replacement parts search results it provides to a user. The set of search results can be tailored based on a number of criteria to increase the speed with which the user finds a compatible replacement part.
Abstract translation: 本文公开的系统和方法可以增加用户通过自动确定用户何时对替换部件感兴趣的情况来发现产品的指定型号的兼容替换部件的速度和容易程度。 替换零件系统可以基于用户的搜索查询，用户的浏览行为或用户的先前购买来确定用户正在寻找替换零件。 通过自动推出购买更换部件的意图，更换部件系统可以使用户更容易找到合适的更换部件。 此外，替换零件系统可以被配置为定制其为用户提供的替换零件搜索结果的列表。 可以基于许多标准来定制搜索结果集，以增加用户找到兼容替换部件的速度。
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公开(公告)号：US12223534B2
公开(公告)日：2025-02-11
申请号：US18340692
申请日：2023-06-23
Applicant: Amazon Technologies, Inc.
Inventor： Meghan Lagoni , Chad Pham Driesbach , Andrew Robert Toner , Sachin Midha , Jai P. Chabria , Nirav Praful Desai , Brad P. Bonnett , Nicholas Stephen Bogert , Thiyagarajan Ramasamy
IPC: G06Q30/0601 , G06F16/951
Abstract: The systems and methods disclosed herein can increase the speed and ease with which a user can discover compatible replacement parts for a specified model of a product by automatically determining when the user is interested in replacement parts. A replacement part system can conclude that a user is looking for replacement parts based on the user's search queries, the user's browsing behavior, or the user's prior purchases. By automatically deducing an intention to purchase a replacement part, the replacement part system can make it easier for a user to locate suitable replacement parts. In addition, the replacement part system can be configured to tailor listing set of replacement parts search results it provides to a user. The set of search results can be tailored based on a number of criteria to increase the speed with which the user finds a compatible replacement part.
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Patent Agency Ranking
公开(公告)号：US11507752B1
公开(公告)日：2022-11-22
申请号：US17002862
申请日：2020-08-26
Applicant: Amazon Technologies, Inc.
Inventor： Pavel Bhowmik , Melanie C B Gens , Sachin Midha , Rahul Gupta , Sriram Venkatapathy , Xinhong Zhang , Anoop Kumar , Pooja Sanjay Sonawane , Samuel Harry Ingbar
Abstract: Techniques for evaluating a natural language understanding (NLU) component and determining an action to resolve an issue processing a user input are described. The system determines which component is invoked by a baseline NLU component is processing the user input, and which component is invoked by an updated NLU component. Based on that information, the system selects the action to resolve the updated NLU component generating an undesired response to the user input.
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公开(公告)号：US10748200B2
公开(公告)日：2020-08-18
申请号：US14637328
申请日：2015-03-03
Applicant: Amazon Technologies, Inc.
Inventor： Meghan Lagoni , Chad Pham Driesbach , Andrew Robert Toner , Sachin Midha , Jai P. Chabria , Nirav Praful Desai , Brad P. Bonnett , Nicholas Stephen Bogert , Thiyagarajan Ramasamy
IPC: G06Q30/06 , G06F16/951 , G06F16/33
Abstract: The systems and methods disclosed herein can increase the speed and ease with which a user can discover compatible replacement parts for a specified model of a product by automatically determining when the user is interested in replacement parts. A replacement part system can conclude that a user is looking for replacement parts based on the user's search queries, the user's browsing behavior, or the user's prior purchases. By automatically deducing an intention to purchase a replacement part, the replacement part system can make it easier for a user to locate suitable replacement parts. In addition, the replacement part system can be configured to tailor listing set of replacement parts search results it provides to a user. The set of search results can be tailored based on a number of criteria to increase the speed with which the user finds a compatible replacement part.
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公开(公告)号：US12197871B2
公开(公告)日：2025-01-14
申请号：US17973674
申请日：2022-10-26
Applicant: Amazon Technologies, Inc.
Inventor： Pavel Bhowmik , Melanie C B Gens , Sachin Midha , Rahul Gupta , Sriram Venkatapathy , Xinhong Zhang , Anoop Kumar , Pooja Sanjay Sonawane , Samuel Harry Ingbar
Abstract: Techniques for evaluating a natural language understanding (NLU) component and determining an action to resolve an issue processing a user input are described. The system determines which component is invoked by a baseline NLU component is processing the user input, and which component is invoked by an updated NLU component. Based on that information, the system selects the action to resolve the updated NLU component generating an undesired response to the user input.
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公开(公告)号：US20230334547A1
公开(公告)日：2023-10-19
申请号：US18340692
申请日：2023-06-23
Applicant: Amazon Technologies, Inc.
Inventor： Meghan Lagoni , Chad Pham Driesbach , Andrew Robert Toner , Sachin Midha , Jai P. Chabria , Nirav Praful Desai , Brad P. Bonnett , Nicholas Stephen Bogert , Thiyagarajan Ramasamy
IPC: G06Q30/0601 , G06F16/951 , G06F16/33
CPC classification number: G06Q30/0625 , G06F16/951 , G06F16/3349 , G06Q30/0641 , G06Q30/0603
Abstract: The systems and methods disclosed herein can increase the speed and ease with which a user can discover compatible replacement parts for a specified model of a product by automatically determining when the user is interested in replacement parts. A replacement part system can conclude that a user is looking for replacement parts based on the user's search queries, the user's browsing behavior, or the user's prior purchases. By automatically deducing an intention to purchase a replacement part, the replacement part system can make it easier for a user to locate suitable replacement parts. In addition, the replacement part system can be configured to tailor listing set of replacement parts search results it provides to a user. The set of search results can be tailored based on a number of criteria to increase the speed with which the user finds a compatible replacement part.
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公开(公告)号：US11727459B2
公开(公告)日：2023-08-15
申请号：US16932551
申请日：2020-07-17
Applicant: Amazon Technologies, Inc.
Inventor： Meghan Lagoni , Chad Pham Driesbach , Andrew Robert Toner , Sachin Midha , Jai P. Chabria , Nirav Praful Desai , Brad P. Bonnett , Nicholas Stephen Bogert , Thiyagarajan Ramasamy
IPC: G06Q30/0601 , G06F16/951 , G06F16/33
CPC classification number: G06Q30/0625 , G06F16/3349 , G06F16/951 , G06Q30/0603 , G06Q30/0641
Abstract: The systems and methods disclosed herein can increase the speed and ease with which a user can discover compatible replacement parts for a specified model of a product by automatically determining when the user is interested in replacement parts. A replacement part system can conclude that a user is looking for replacement parts based on the user's search queries, the user's browsing behavior, or the user's prior purchases. By automatically deducing an intention to purchase a replacement part, the replacement part system can make it easier for a user to locate suitable replacement parts. In addition, the replacement part system can be configured to tailor listing set of replacement parts search results it provides to a user. The set of search results can be tailored based on a number of criteria to increase the speed with which the user finds a compatible replacement part.
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