Patents by Inventor Alexander Nus
Alexander Nus 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: 11699101Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automatic image selection for online product catalogs. An image selection system gathers feature data for images of an item included in listings posted to an online marketplace. The image selection system uses the feature data as input in a machine learning model to determine probability scores indicating an estimated probability that each image is suitable to represent the item. The machine learning model is trained based on a set of training images of the item that have been labeled to indicate whether they are suitable to represent the image. The image selection system compares the probability scores and selects an image to represent the item as a stock image based on the comparison.Type: GrantFiled: September 3, 2021Date of Patent: July 11, 2023Assignee: eBay Inc.Inventors: Arnon Dagan, Ido Guy, Alexander Nus, Raphael Bryl, Noa Shimoni Barzilai, Avinoam Omer, Yan Radovilsky, Einav Itamar, Gadi Mikles
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Patent number: 11361010Abstract: One or more computing devices, systems, and/or methods for generating a set of tips for an entity are provided. For example, users may create user generated content describing an entity, such as a user review for a consumer good, a location, an event, etc. Because a user may be unable to read and digest all of the user reviews for the entity, the user may merely read a few user reviews, and thus miss out on useful information. Accordingly, tip templates, indicative of how tips are linguistically/grammatically constructed, are applied to the user reviews to automatically extract a set of tips for the entity (e.g., “make sure to bring a rain jacket”). The set of tips may be filtered to remove undesirable tips, ranked based upon usefulness, and/or diversified to remove redundant tips. In this way, a set of useful tips may be provided to the user.Type: GrantFiled: June 24, 2019Date of Patent: June 14, 2022Assignee: YAHOO ASSETS LLCInventors: Dan Pelleg, Alexander Nus, Fiana Raiber, Ido Guy, Avihai Mejer
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Publication number: 20210397894Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automatic image selection for online product catalogs. An image selection system gathers feature data for images of an item included in listings posted to an online marketplace. The image selection system uses the feature data as input in a machine learning model to determine probability scores indicating an estimated probability that each image is suitable to represent the item. The machine learning model is trained based on a set of training images of the item that have been labeled to indicate whether they are suitable to represent the image. The image selection system compares the probability scores and selects an image to represent the item as a stock image based on the comparison.Type: ApplicationFiled: September 3, 2021Publication date: December 23, 2021Applicant: eBay Inc.Inventors: Arnon Dagan, Ido Guy, Alexander Nus, Raphael Bryl, Noa Shimoni Barzilai, Avinoam Omer, Yan Radovilsky, Einav Itamar, Gadi Mikles
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Publication number: 20210352030Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, 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 disclosure provides a novel, computerized framework for automatically identifying and recommending socially-engaging photos to their creators for sharing. Execution of the disclosed systems and methods turns a tedious manual chore into an automated, software-driven process.Type: ApplicationFiled: July 19, 2021Publication date: November 11, 2021Inventors: Yoelle MAAREK, Ido GUY, Dan PELLEG, Idan SZPEKTOR, Alexander NUS, Jeffrey BONFORTE
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Patent number: 11113575Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automatic image selection for online product catalogs. An image selection system gathers feature data for images of an item included in listings posted to an online marketplace. The image selection system uses the feature data as input in a machine learning model to determine probability scores indicating an estimated probability that each image is suitable to represent the item. The machine learning model is trained based on a set of training images of the item that have been labeled to indicate whether they are suitable to represent the image. The image selection system compares the probability scores and selects an image to represent the item as a stock image based on the comparison.Type: GrantFiled: September 10, 2019Date of Patent: September 7, 2021Assignee: eBay Inc.Inventors: Arnon Dagan, Ido Guy, Alexander Nus, Raphael Bryl, Noa Shimoni Barzilai, Avinoam Omer, Yan Radovilsky, Einav Itamar, Gadi Mikles
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Patent number: 11070501Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, 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. A novel, computerized framework for automatically identifying and recommending socially-engaging photos to their creators for sharing is provided. Execution of the disclosed framework turns a tedious manual chore into an automated, software-driven process.Type: GrantFiled: January 31, 2017Date of Patent: July 20, 2021Assignee: VERIZON MEDIA INC.Inventors: Yoelle Maarek, Ido Guy, Dan Pelleg, Idan Szpektor, Alexander Nus, Jeffrey Bonforte
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Publication number: 20210073583Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automatic image selection for online product catalogs. An image selection system gathers feature data for images of an item included in listings posted to an online marketplace. The image selection system uses the feature data as input in a machine learning model to determine probability scores indicating an estimated probability that each image is suitable to represent the item. The machine learning model is trained based on a set of training images of the item that have been labeled to indicate whether they are suitable to represent the image. The image selection system compares the probability scores and selects an image to represent the item as a stock image based on the comparison.Type: ApplicationFiled: September 10, 2019Publication date: March 11, 2021Inventors: Arnon Dagan, Ido Guy, Alexander Nus, Raphael Bryl, Noa Shimoni Barzilai, Avinoam Omer, Yan Radovilsky, Einav Itamar, Gadi Mikles
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Publication number: 20190311001Abstract: One or more computing devices, systems, and/or methods for generating a set of tips for an entity are provided. For example, users may create user generated content describing an entity, such as a user review for a consumer good, a location, an event, etc. Because a user may be unable to read and digest all of the user reviews for the entity, the user may merely read a few user reviews, and thus miss out on useful information. Accordingly, tip templates, indicative of how tips are linguistically/grammatically constructed, are applied to the user reviews to automatically extract a set of tips for the entity (e.g., “make sure to bring a rain jacket”). The set of tips may be filtered to remove undesirable tips, ranked based upon usefulness, and/or diversified to remove redundant tips. In this way, a set of useful tips may be provided to the user.Type: ApplicationFiled: June 24, 2019Publication date: October 10, 2019Inventors: Dan Pelleg, Alexander Nus, Fiana Raiber, Ido Guy, Avihai Mejer
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Patent number: 10331719Abstract: One or more computing devices, systems, and/or methods for generating a set of tips for an entity are provided. For example, users may create user generated content describing an entity, such as a user review for a consumer good, a location, an event, etc. Because a user may be unable to read and digest all of the user reviews for the entity, the user may merely read a few user reviews, and thus miss out on useful information. Accordingly, tip templates, indicative of how tips are linguistically/grammatically constructed, are applied to the user reviews to automatically extract a set of tips for the entity (e.g., “make sure to bring a rain jacket”). The set of tips may be filtered to remove undesirable tips, ranked based upon usefulness, and/or diversified to remove redundant tips. In this way, a set of useful tips may be provided to the user.Type: GrantFiled: November 7, 2016Date of Patent: June 25, 2019Assignee: Oath Inc.Inventors: Dan Pelleg, Alexander Nus, Fiana Raiber, Ido Guy, Avihai Mejer
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Publication number: 20180219814Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, 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 disclosure provides a novel, computerized framework for automatically identifying and recommending socially-engaging photos to their creators for sharing. Execution of the disclosed systems and methods turns a tedious manual chore into an automated, software-driven process.Type: ApplicationFiled: January 31, 2017Publication date: August 2, 2018Inventors: Yoelle Maarek, Ido Guy, Dan Pelleg, Idan Szpektor, Alexander Nus, Jeffrey Bonforte
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Publication number: 20180129732Abstract: One or more computing devices, systems, and/or methods for generating a set of tips for an entity are provided. For example, users may create user generated content describing an entity, such as a user review for a consumer good, a location, an event, etc. Because a user may be unable to read and digest all of the user reviews for the entity, the user may merely read a few user reviews, and thus miss out on useful information. Accordingly, tip templates, indicative of how tips are linguistically/grammatically constructed, are applied to the user reviews to automatically extract a set of tips for the entity (e.g., “make sure to bring a rain jacket”). The set of tips may be filtered to remove undesirable tips, ranked based upon usefulness, and/or diversified to remove redundant tips. In this way, a set of useful tips may be provided to the user.Type: ApplicationFiled: November 7, 2016Publication date: May 10, 2018Inventors: Dan Pelleg, Alexander Nus, Fiana Raiber, Ido Guy, Avihai Mejer