Patents by Inventor David Michael Hurley
David Michael Hurley has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11941680Abstract: Social network postings, including text, images or other media, may provide valuable information regarding a user of the social network with which the postings may be associated. With the authorization of the user, and upon authentication by the social network, an online marketplace may access the social network postings and extract data therefrom, and market one or more recommended items to the user based on the extracted data, which may include color pallets or texture pallets derived from photographs included in the postings.Type: GrantFiled: August 26, 2019Date of Patent: March 26, 2024Assignee: Amazon Technologies, Inc.Inventors: Stephen Brent Ivie, Ashutosh Vishwas Kulkarni, Saurabh Nangia, Adam Landry Bordelon, Aaron James Dykstra, David Michael Hurley, Adam James Finkelstein, Scott James McKee
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Patent number: 11074229Abstract: Methods, systems, and computer-readable media for a distributed read-only database service are disclosed. Using a read-only database service, one or more host groups are selected from a plurality of available host groups in a distributed system. The one or more host groups are selected for a particular dataset based at least in part on a size of the dataset and on a transaction rate for the dataset. The selected one or more host groups comprise one or more hosts comprising storage resources. A read-only database comprising elements of the dataset is generated. The read-only database is deployed to the storage resources of the one or more host groups in the distributed system. The one or more host groups are configured to serve a plurality of read requests from clients for the elements of the read-only database.Type: GrantFiled: March 21, 2018Date of Patent: July 27, 2021Assignee: Amazon Technologies, Inc.Inventors: Alexander Slutsker, David Michael Hurley, Remo Antonio Cocco, Siu Nam Wong, Aparna Raman
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Patent number: 10410273Abstract: A recommendation system uses artificial intelligence to identify, based on negative sentiment cues from users, item attributes, such as keywords, that users may find offensive or undesirable. The negative sentiment cues may be explicit (e.g., a user selects an option not to view a particular recommendation again), implicit (e.g., a user does not interact with recommendations relating to an attribute), or both. The system may use a computer model generated based on these identified attributes to filter or modify recommendations to a user or group of users. For instance, if a particular keyword is identified as highly offensive to a group of users, items associated with the keyword may be filtered from item recommendations presented to the group of users. If an attribute is identified as moderately offensive to a user, items associated with the attribute may be down-weighted in item recommendations presented to the user.Type: GrantFiled: December 5, 2014Date of Patent: September 10, 2019Assignee: Amazon Technologies, Inc.Inventors: Adam James Finkelstein, David Akira Gingrich, David Michael Hurley, Stephen Brent Ivie, Siu Nam Wong, Siqi Zhao
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Patent number: 10410125Abstract: A recommendation system uses artificial intelligence to identify, based on negative sentiment cues from users, item attributes, such as keywords, that users may find offensive or undesirable. The negative sentiment cues may be explicit (e.g., a user selects an option not to view a particular recommendation again), implicit (e.g., a user does not interact with recommendations relating to an attribute), or both. The system may use a computer model generated based on these identified attributes to filter or modify recommendations to a user or group of users. For instance, if a particular keyword is identified as highly offensive to a group of users, items associated with the keyword may be filtered from item recommendations presented to the group of users. If an attribute is identified as moderately offensive to a user, items associated with the attribute may be down-weighted in item recommendations presented to the user.Type: GrantFiled: December 5, 2014Date of Patent: September 10, 2019Assignee: Amazon Technologies, Inc.Inventors: Adam James Finkelstein, David Akira Gingrich, David Michael Hurley, Stephen Brent Ivie, Siu Nam Wong, Siqi Zhao
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Patent number: 10395297Abstract: Social network postings, including text, images or other media, may provide valuable information regarding a user of the social network with which the postings may be associated. With the authorization of the user, and upon authentication by the social network, an online marketplace may access the social network postings and extract data therefrom, and market one or more recommended items to the user based on the extracted data, which may include color pallets or texture pallets derived from photographs included in the postings.Type: GrantFiled: November 13, 2012Date of Patent: August 27, 2019Assignee: Amazon Technologies, Inc.Inventors: Stephen Brent Ivie, Ashutosh Vishwas Kulkarni, Saurabh Nangia, Adam Landry Bordelon, Aaron James Dykstra, David Michael Hurley, Adam James Finkelstein, Scott James McKee
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Patent number: 10095771Abstract: A multi-level approach for generating suggestions and/or recommendations associated with one or more items is provided. A group of related items may be identified, for example, by generating a collaborative filtering graph or other graph that includes items and connections between the items. Description data associated with items included in the group may be evaluated in order to determine respective keywords associated with the items and/or a list of common keywords representative of the group of items or a subset of the group of items. Based at least in part upon the list of common keywords, at least one suggestion may be generated.Type: GrantFiled: November 30, 2015Date of Patent: October 9, 2018Assignee: Amazon Technologies, Inc.Inventors: Aaron James Dykstra, Saurabh Nangia, Stephen B. Ivie, David Michael Hurley
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Patent number: 9798960Abstract: A system that identifies attributes of an item depicted in an image using artificial intelligence is provided. For example, the system may use one or more deep belief networks (DBNs) or convolution neural networks (CNNs) trained to analyze images and identify attributes in items depicted in the images. A first artificial intelligence module may analyze an image to determine a type of item depicted in the image. The system may then select a second artificial intelligence module that is associated with the type of item and use the second artificial intelligence module to identify attributes in the item depicted in the image. Identified attributes, if associated with a confidence level over a threshold value, may be provided to a user. The user may provide feedback on the accuracy of the identified attributes, which can be used to further train the first and/or second artificial intelligence modules.Type: GrantFiled: January 24, 2017Date of Patent: October 24, 2017Assignee: Amazon Technologies, Inc.Inventors: Anthony Alexander Santos, Adam James Finkelstein, David Akira Gingrich, David Michael Hurley, Siqi Zhao
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Publication number: 20170132497Abstract: A system that identifies attributes of an item depicted in an image using artificial intelligence is provided. For example, the system may use one or more deep belief networks (DBNs) or convolution neural networks (CNNs) trained to analyze images and identify attributes in items depicted in the images. A first artificial intelligence module may analyze an image to determine a type of item depicted in the image. The system may then select a second artificial intelligence module that is associated with the type of item and use the second artificial intelligence module to identify attributes in the item depicted in the image. Identified attributes, if associated with a confidence level over a threshold value, may be provided to a user. The user may provide feedback on the accuracy of the identified attributes, which can be used to further train the first and/or second artificial intelligence modules.Type: ApplicationFiled: January 24, 2017Publication date: May 11, 2017Inventors: Anthony Alexander Santos, Adam James Finkelstein, David Akira Gingrich, David Michael Hurley, Siqi Zhao
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Patent number: 9569700Abstract: A system that identifies attributes of an item depicted in an image using artificial intelligence is provided. For example, the system may use one or more deep belief networks (DBNs) or convolution neural networks (CNNs) trained to analyze images and identify attributes in items depicted in the images. A first artificial intelligence module may analyze an image to determine a type of item depicted in the image. The system may then select a second artificial intelligence module that is associated with the type of item and use the second artificial intelligence module to identify attributes in the item depicted in the image. Identified attributes, if associated with a confidence level over a threshold value, may be provided to a user. The user may provide feedback on the accuracy of the identified attributes, which can be used to further train the first and/or second artificial intelligence modules.Type: GrantFiled: December 17, 2014Date of Patent: February 14, 2017Assignee: Amazon Technologies, Inc.Inventors: Anthony Alexander Santos, Adam James Finkelstein, David Akira Gingrich, David Michael Hurley, Siqi Zhao
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Patent number: 9286391Abstract: A multi-level approach for generating suggestions and/or recommendations associated with one or more items is provided. A group of related items may be identified, for example, by generating a collaborative filtering graph or other graph that includes items and connections between the items. Description data associated with items included in the group may be evaluated in order to determine respective keywords associated with the items and/or a list of common keywords representative of the group of items or a subset of the group of items. Based at least in part upon the list of common keywords, at least one suggestion may be generated.Type: GrantFiled: March 19, 2012Date of Patent: March 15, 2016Assignee: Amazon Technologies, Inc.Inventors: Aaron James Dykstra, Saurabh Nangia, Stephen B. Ivie, David Michael Hurley