Patents by Inventor Naren Chittar
Naren Chittar 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: 11768870Abstract: A metadata extraction machine accesses an image that depicts an item. The item depicted in the image may have an attribute that describes a characteristic of the item and an attribute descriptor that corresponds to the attribute of the item and specifies a value of the attribute. The metadata extraction machine performs an analysis of the image. The analysis may include identifying the attribute descriptor corresponding to the attribute based on image segmentation of the image. The metadata extraction machine transmits a communication to a device of a user based on the identifying of the attribute descriptor corresponding to the attribute of the item depicted in the image.Type: GrantFiled: November 28, 2022Date of Patent: September 26, 2023Assignee: EBAY INC.Inventors: Sanjay Pundlkrao Ghatare, Ali Dasdan, Naren Chittar
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Publication number: 20230206914Abstract: A computer-implemented method includes generating an empirically derived acoustic confusability measure by processing example utterances and iterating from an initial estimate of the acoustic confusability measure to improve the measure. The method can further include using the acoustic confusability measure to selectively limit phrases to make recognizable by a speech recognition application.Type: ApplicationFiled: February 17, 2023Publication date: June 29, 2023Inventors: Harry William Printz, Naren Chittar
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Publication number: 20230092579Abstract: A metadata extraction machine accesses an image that depicts an item. The item depicted in the image may have an attribute that describes a characteristic of the item and an attribute descriptor that corresponds to the attribute of the item and specifies a value of the attribute. The metadata extraction machine performs an analysis of the image. The analysis may include identifying the attribute descriptor corresponding to the attribute based on image segmentation of the image. The metadata extraction machine transmits a communication to a device of a user based on the identifying of the attribute descriptor corresponding to the attribute of the item depicted in the image.Type: ApplicationFiled: November 28, 2022Publication date: March 23, 2023Inventors: Sanjay Pundlkrao Ghatare, Ali Dasdan, Naren Chittar
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Patent number: 11587558Abstract: A computer-implemented method includes generating an empirically derived acoustic confusability measure by processing example utterances and iterating from an initial estimate of the acoustic confusability measure to improve the measure. The method can further include using the acoustic confusability measure to selectively limit phrases to make recognizable by a speech recognition application.Type: GrantFiled: August 7, 2020Date of Patent: February 21, 2023Assignee: Promptu Systems CorporationInventors: Harry Printz, Naren Chittar
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Patent number: 11537655Abstract: A metadata extraction machine accesses an image that depicts an item. The item depicted in the image may have an attribute that describes a characteristic of the item and an attribute descriptor that corresponds to the attribute of the item and specifies a value of the attribute. The metadata extraction machine performs an analysis of the image. The analysis may include identifying the attribute descriptor corresponding to the attribute based on image segmentation of the image. The metadata extraction machine transmits a communication to a device of a user based on the identifying of the attribute descriptor corresponding to the attribute of the item depicted in the image.Type: GrantFiled: January 3, 2020Date of Patent: December 27, 2022Assignee: EBAY INC.Inventors: Sanjay Pundlkrao Ghatare, Ali Dasdan, Naren Chittar
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Publication number: 20220198146Abstract: Various methods, apparatuses/systems, and media for end-to-end entity linking are disclosed. The system includes a processor; and a memory operatively connected to the processor via a communication interface, the memory storing computer readable instructions, when executed, causes the processor to: detect all named entity mentions from a plurality of data sources; compute, in response to detecting, entity embeddings in a knowledge graph by implementing context information and a margin-based loss function; validate the entity embeddings; deploy, in response to validating the entity embeddings, a machine learning model to match character and semantic information, respectively; and link, in response to deployment of the wide and deep learning model, the named mentions in text with corresponding entities in the knowledge graph.Type: ApplicationFiled: December 9, 2021Publication date: June 23, 2022Applicant: JPMorgan Chase Bank, N.A.Inventors: Wanying DING, Vinay K. CHAUDHRI, Naren CHITTAR, Krishna KONAKANCHI
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Patent number: 11282116Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.Type: GrantFiled: October 29, 2019Date of Patent: March 22, 2022Assignee: eBay Inc.Inventors: Anjan Goswami, Naren Chittar, Ali Dasdan, Sanjay Pundlkrao Ghatare, Sandip Namdeo Gaikwad, Sung Hwan Chung
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Patent number: 11132391Abstract: A system and method, which may be an offline method, extracts relevant image features about listing items in a network-based publication system for enabling image similarity searching of such listing items. When a seller lists an item, an image of the item is uploaded and may be sent to a picture processing service, which generates several digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve listings by image similarity at scale. A similar process can be performed for a query listing for searching the search database for items similar to the query listing.Type: GrantFiled: December 9, 2019Date of Patent: September 28, 2021Assignee: eBay Inc.Inventors: Naren Chittar, Sanjay Pundlkrao Ghatare, Ryan McDonald, John Roper, Michael Schmitz
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Publication number: 20200396514Abstract: A method and system provide video-based results. In response to a request, listings associated with the request are determined, and a single results video is generated based on the listings. The results video is provided for presentation to provide details from the listings. When a select request is detected while the video is being presented, a listing associated with the select request is provided for display.Type: ApplicationFiled: August 27, 2020Publication date: December 17, 2020Inventors: Govind Kaushal, Jai Dandekar, Naren Chittar, Bhanu Koppaka, John Sheeley, Matthew Bret MacLaurin
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Publication number: 20200372903Abstract: A computer-implemented method includes generating an empirically derived acoustic confusability measure by processing example utterances and iterating from an initial estimate of the acoustic confusability measure to improve the measure. The method can further include using the acoustic confusability measure to selectively limit phrases to make recognizable by a speech recognition application.Type: ApplicationFiled: August 7, 2020Publication date: November 26, 2020Inventors: Harry Printz, Naren Chittar
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Patent number: 10791375Abstract: Method and system to provide video-based search results are described. A search results video may be present to a user details from listings that match certain search criteria. When a select request associated with the search results video is detected, a listing rendering module presents the selected listing on the display device.Type: GrantFiled: April 23, 2015Date of Patent: September 29, 2020Assignee: eBay Inc.Inventors: Govind Kaushal, Jai Dandekar, Naren Chittar, Bhanu Koppaka, John Sheeley, Matthew Bret MacLaurin
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Patent number: 10748527Abstract: Efficient empirical determination, computation, and use of an acoustic confusability measure comprises: (1) an empirically derived acoustic confusability measure, comprising a means for determining the acoustic confusability between any two textual phrases in a given language, where the measure of acoustic confusability is empirically derived from examples of the application of a specific speech recognition technology, where the procedure does not require access to the internal computational models of the speech recognition technology, and does not depend upon any particular internal structure or modeling technique, and where the procedure is based upon iterative improvement from an initial estimate; (2) techniques for efficient computation of empirically derived acoustic confusability measure, comprising means for efficient application of an acoustic confusability score, allowing practical application to very large-scale problems; and (3) a method for using acoustic confusability measures to make principledType: GrantFiled: October 12, 2018Date of Patent: August 18, 2020Assignee: Promptu Systems CorporationInventors: Harry Printz, Naren Chittar
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Publication number: 20200218757Abstract: A metadata extraction machine accesses an image that depicts an item. The item depicted in the image may have an attribute that describes a characteristic of the item and an attribute descriptor that corresponds to the attribute of the item and specifies a value of the attribute. The metadata extraction machine performs an analysis of the image. The analysis may include identifying the attribute descriptor corresponding to the attribute based on image segmentation of the image. The metadata extraction machine transmits a communication to a device of a user based on the identifying of the attribute descriptor corresponding to the attribute of the item depicted in the image.Type: ApplicationFiled: January 3, 2020Publication date: July 9, 2020Inventors: Sanjay Pundlkrao Ghatare, Ali Dasdan, Naren Chittar
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Publication number: 20200160403Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.Type: ApplicationFiled: October 29, 2019Publication date: May 21, 2020Inventors: Anjan Goswami, Naren Chittar, Ali Dasdan, Sanjay Pundlkrao Ghatare, Sandip Namdeo Gaikwad, Sung Hwan Chung
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Patent number: 10630805Abstract: Method and system is described to effectuate a single action upload of images from a mobile device. When the system detects activation of a visual control provided by an on-line service, the system activates a camera provided with the mobile device of the user, detects a resulting image captured by the camera, and uploads the resulting image from the mobile device of the user to a destination computing device. The destination computing device can be a server system associated with the on-line service.Type: GrantFiled: September 18, 2018Date of Patent: April 21, 2020Assignee: eBay Inc.Inventors: Hugh Evan Williams, Bhanu Koppaka, Jai Dandekar, Govind Kaushal, Matthew Bret MacLaurin, Naren Chittar, John Sheeley
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Publication number: 20200117685Abstract: A system and method, which may be an offline method, extracts relevant image features about listing items in a network-based publication system for enabling image similarity searching of such listing items. When a seller lists an item, an image of the item is uploaded and may be sent to a picture processing service, which generates several digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve listings by image similarity at scale. A similar process can be performed for a query listing for searching the search database for items similar to the query listing.Type: ApplicationFiled: December 9, 2019Publication date: April 16, 2020Inventors: Naren Chittar, Sanjay Pundlkrao Ghatare, Ryan McDonald, John Roper, Michael Schmitz
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Patent number: 10552477Abstract: A metadata extraction machine accesses an image that depicts an item. The item depicted in the image may have an attribute that describes a characteristic of the item and an attribute descriptor that corresponds to the attribute of the item and specifies a value of the attribute. The metadata extraction machine performs an analysis of the image. The analysis may include identifying the attribute descriptor corresponding to the attribute based on image segmentation of the image. The metadata extraction machine transmits a communication to a device of a user based on the identifying of the attribute descriptor corresponding to the attribute of the item depicted in the image.Type: GrantFiled: December 13, 2017Date of Patent: February 4, 2020Assignee: eBay Inc.Inventors: Sanjay Pundlkrao Ghatare, Ali Dasdan, Naren Chittar
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Patent number: 10528615Abstract: A system and method, which may be an offline method, extracts relevant image features about listing items in a network-based publication system for enabling image similarity searching of such listing items. When a seller lists an item, an image of the item is uploaded and may be sent to a picture processing service, which generates several digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve listings by image similarity at scale. A similar process can be performed for a query listing for searching the search database for items similar to the query listing.Type: GrantFiled: July 21, 2017Date of Patent: January 7, 2020Assignee: eBay, Inc.Inventors: Naren Chittar, Sanjay Pundlkrao Ghatare, Ryan McDonald, John Roper, Michael Schmitz
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Patent number: 10497032Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.Type: GrantFiled: February 4, 2016Date of Patent: December 3, 2019Assignee: eBay Inc.Inventors: Anjan Goswami, Naren Chittar, Ali Dasdan, Sanjay Pundlkrao Ghatare, Sandip Namdeo Gaikwad, Sung Hwan Chung
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Publication number: 20190051294Abstract: Efficient empirical determination, computation, and use of an acoustic confusability measure comprises: (1) an empirically derived acoustic confusability measure, comprising a means for determining the acoustic confusability between any two textual phrases in a given language, where the measure of acoustic confusability is empirically derived from examples of the application of a specific speech recognition technology, where the procedure does not require access to the internal computational models of the speech recognition technology, and does not depend upon any particular internal structure or modeling technique, and where the procedure is based upon iterative improvement from an initial estimate; (2) techniques for efficient computation of empirically derived acoustic confusability measure, comprising means for efficient application of an acoustic confusability score, allowing practical application to very large-scale problems; and (3) a method for using acoustic confusability measures to make principledType: ApplicationFiled: October 12, 2018Publication date: February 14, 2019Inventors: Harry Printz, Naren Chittar