Patents by Inventor Elizabeth Churchill
Elizabeth Churchill 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: 11829430Abstract: Systems and methods are presented for generating recommendations using multi-level social network analysis of user behavior. In some embodiments, the system receives a set of user interactions, from a plurality of users, performed on a set of data objects; generates a set of associations between the set of data objects; and identifies a set of data object clusters indicative of the set of associations. The system generates an organization of the set of data objects based on the set of associations and the set of data object clusters and causes presentation of a plurality of data objects of the set of data objects on a user interface of a user device based on the organization.Type: GrantFiled: August 28, 2020Date of Patent: November 28, 2023Assignee: EBAY INC.Inventors: Michael Gilbert, Elizabeth Churchill
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Publication number: 20230362216Abstract: A system, computer-readable storage medium storing at least one program, and computer-implemented method for providing recommendations based on social network sharing activity. Sharing activity relating to the sharing of the content item on a social network by a first user is accessed. Consumption information related to the consumption of the content item. A correlation between the sharing activity and the consumption information is determined. A recommendation is then generated based on the correlation.Type: ApplicationFiled: June 6, 2023Publication date: November 9, 2023Inventors: Neelakantan Sundaresan, Atish Das Sarma, Si Si, Elizabeth Churchill
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Patent number: 11706268Abstract: A system, computer-readable storage medium storing at least one program, and computer-implemented method for providing recommendations based on social network sharing activity. Sharing activity relating to the sharing of the content item on a social network by a first user is accessed. Consumption information related to the consumption of the content item. A correlation between the sharing activity and the consumption information is determined. A recommendation is then generated based on the correlation.Type: GrantFiled: September 12, 2022Date of Patent: July 18, 2023Assignee: PayPal, Inc.Inventors: Neelakantan Sundaresan, Atish Das Sarma, Si Si, Elizabeth Churchill
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Publication number: 20230073633Abstract: A system, computer-readable storage medium storing at least one program, and computer-implemented method for providing recommendations based on social network sharing activity. Sharing activity relating to the sharing of the content item on a social network by a first user is accessed. Consumption information related to the consumption of the content item. A correlation between the sharing activity and the consumption information is determined. A recommendation is then generated based on the correlation.Type: ApplicationFiled: September 12, 2022Publication date: March 9, 2023Inventors: Neelakantan Sundaresan, Atish Das Sarma, Si Si, Elizabeth Churchill
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Patent number: 11599929Abstract: A machine is configured to determine fashion preferences of users and to provide item recommendations based on the fashion preferences. For example, the machine accesses an indication of a fashion style of a user. The fashion style is determined based on automatically captured data pertaining to the user. The machine identifies, based on the fashion style, one or more fashion items from an inventory of fashion items. The machine generates one or more selectable user interface elements for inclusion in a user interface. The one or more user interface elements correspond to the one or more fashion items. The machine causes generation and display of the user interface that includes the one or more selectable user interface elements. A selection of a selectable user interface element results in display of a combination of an image of a particular fashion item and an image of an item worn by the user.Type: GrantFiled: November 23, 2020Date of Patent: March 7, 2023Assignee: eBay Inc.Inventors: Wei Di, Vignesh Jagadeesh, Robinson Piramuthu, Elizabeth Churchill, Anurag Bhardwaj
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Publication number: 20220391646Abstract: A machine may be configured to perform image evaluation of images depicting items for sale and to provide recommendations for improving the images depicting the items to increase the sales of the items depicted in the images. For example, the machine accesses a result of a user behavior analysis. The machine receives an image of an item from a user device. The machine performs an image evaluation of the received image based on an analysis of the received image and the result of the user behavior analysis. The performing of the image evaluation may include determining a likelihood of a user engaging in a desired user behavior in relation to the received image. Then, the machine generates, based on the evaluation of the received image, an output that references the received image and indicates the likelihood of a user engaging in the desired behavior.Type: ApplicationFiled: August 12, 2022Publication date: December 8, 2022Inventors: Wei Di, Vignesh Jagadeesh, Robinson Piramuthu, Elizabeth Churchill, Anurag Bhardwaj
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Patent number: 11449719Abstract: A machine may be configured to perform image evaluation of images depicting items for sale and to provide recommendations for improving the images depicting the items to increase the sales of the items depicted in the images. For example, the machine accesses a result of a user behavior analysis. The machine receives an image of an item from a user device. The machine performs an image evaluation of the received image based on an analysis of the received image and the result of the user behavior analysis. The performing of the image evaluation may include determining a likelihood of a user engaging in a desired user behavior in relation to the received image. Then, the machine generates, based on the evaluation of the received image, an output that references the received image and indicates the likelihood of a user engaging in the desired behavior.Type: GrantFiled: December 19, 2018Date of Patent: September 20, 2022Assignee: eBay Inc.Inventors: Wei Di, Vignesh Jagadeesh, Robinson Piramuthu, Elizabeth Churchill, Anurag Bhardwaj
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Patent number: 11444991Abstract: A system, computer-readable storage medium storing at least one program, and computer-implemented method for providing recommendations based on social network sharing activity. Sharing activity relating to the sharing of the content item on a social network by a first user is accessed. Consumption information related to the consumption of the content item. A correlation between the sharing activity and the consumption information is determined. A recommendation is then generated based on the correlation.Type: GrantFiled: August 3, 2020Date of Patent: September 13, 2022Assignee: PayPal, Inc.Inventors: Neelakantan Sundaresan, Atish Das Sarma, Si Si, Elizabeth Churchill
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Patent number: 11321539Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for creating advertisement messages using generative grammar models is presented. A generative grammar model defining a message structure of requested message is accessed. The message structure includes a plurality of lexical slots. The generative grammar model includes a corpus of source data to populate each lexical slot in the plurality of lexical slots to generate an advertisement message for a product listing. An advertisement message is generated in accordance with the generative grammar model and the message is published. The advertisement message for the product listing is then transmitted to a client device.Type: GrantFiled: April 10, 2020Date of Patent: May 3, 2022Assignee: eBay Inc.Inventors: Elizabeth Churchill, Atish Das Sarma, Corinne Sherman Stewart, Gyanit Singh
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Publication number: 20210166290Abstract: A machine is configured to determine fashion preferences of users and to provide item recommendations based on the fashion preferences. For example, the machine accesses an indication of a fashion style of a user. The fashion style is determined based on automatically captured data pertaining to the user. The machine identifies, based on the fashion style, one or more fashion items from an inventory of fashion items. The machine generates one or more selectable user interface elements for inclusion in a user interface. The one or more user interface elements correspond to the one or more fashion items. The machine causes generation and display of the user interface that includes the one or more selectable user interface elements. A selection of a selectable user interface element results in display of a combination of an image of a particular fashion item and an image of an item worn by the user.Type: ApplicationFiled: November 23, 2020Publication date: June 3, 2021Inventors: Wei Di, Vignesh Jagadeesh, Robinson Piramuthu, Elizabeth Churchill, Anurag Bhardwaj
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Publication number: 20210092169Abstract: A system, computer-readable storage medium storing at least one program, and computer-implemented method for providing recommendations based on social network sharing activity. Sharing activity relating to the sharing of the content item on a social network by a first user is accessed. Consumption information related to the consumption of the content item. A correlation between the sharing activity and the consumption information is determined. A recommendation is then generated based on the correlation.Type: ApplicationFiled: August 3, 2020Publication date: March 25, 2021Inventors: Neelakantan Sundaresan, Atish Das Sarma, Si Si, Elizabeth Churchill
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Patent number: 10878481Abstract: A machine is configured to determine fashion preferences of users and to provide item recommendations based on the fashion preferences. For example, the machine accesses an indication of a fashion style of a user. The fashion style is determined based on automatically captured data pertaining to the user. The machine identifies, based on the fashion style, one or more fashion items from an inventory of fashion items. The machine generates one or more selectable user interface elements for inclusion in a user interface. The one or more user interface elements correspond to the one or more fashion items. The machine causes generation and display of the user interface that includes the one or more selectable user interface elements. A selection of a selectable user interface element results in display of a combination of an image of a particular fashion item and an image of an item worn by the user.Type: GrantFiled: June 15, 2018Date of Patent: December 29, 2020Assignee: eBay Inc.Inventors: Wei Di, Vignesh Jagadeesh, Robinson Piramuthu, Elizabeth Churchill, Anurag Bhardwaj
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Publication number: 20200394242Abstract: Systems and methods are presented for generating recommendations using multi-level social network analysis of user behavior. In some embodiments, the system receives a set of user interactions, from a plurality of users, performed on a set of data objects; generates a set of associations between the set of data objects; and identifies a set of data object clusters indicative of the set of associations. The system generates an organization of the set of data objects based on the set of associations and the set of data object clusters and causes presentation of a plurality of data objects of the set of data objects on a user interface of a user device based on the organization.Type: ApplicationFiled: August 28, 2020Publication date: December 17, 2020Inventors: Michael Gilbert, Elizabeth Churchill
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Publication number: 20200394666Abstract: Systems and methods are presented for matching a buyer and a seller on a market place system and generating calibrated user profiles. In one such system a plurality of subjective estimations of value is received. The subjective estimations of value are a measure between a predetermined minimum value and a predetermined maximum value. A user profile is generated. A plurality of user actions corresponding to the plurality of subjective estimations of value is received. The user profile is calibrated based on the plurality of user actions.Type: ApplicationFiled: August 31, 2020Publication date: December 17, 2020Applicant: eBay Inc.Inventors: Elizabeth Churchill, Bryan Kent Ressler, Atish Das Sarma, Michael Gilbert
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Patent number: 10795953Abstract: Systems and methods are presented for generating recommendations using multi-level social network analysis of user behavior. In some embodiments, the system receives a set of user interactions, from a plurality of users, performed on a set of data objects; generates a set of associations between the set of data objects; and identifies a set of data object clusters indicative of the set of associations. The system generates an organization of the set of data objects based on the set of associations and the set of data object clusters and causes presentation of a plurality of data objects of the set of data objects on a user interface of a user device based on the organization.Type: GrantFiled: November 3, 2017Date of Patent: October 6, 2020Assignee: eBay Inc.Inventors: Michael Gilbert, Elizabeth Churchill
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Patent number: 10796323Abstract: Systems and methods are presented for matching a buyer and a seller on a market place system and generating calibrated user profiles. In one such system a plurality of subjective estimations of value is received. The subjective estimations of value are a measure between a predetermined minimum value and a predetermined maximum value. A user profile is generated. A plurality of user actions corresponding to the plurality of subjective estimations of value is received. The user profile is calibrated based on the plurality of user actions.Type: GrantFiled: September 22, 2015Date of Patent: October 6, 2020Assignee: eBay Inc.Inventors: Elizabeth Churchill, Bryan Kent Ressler, Atish Das Sarma, Michael Gilbert
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Patent number: 10735482Abstract: A system, computer-readable storage medium storing at least one program, and computer-implemented method for providing recommendations based on social network sharing activity. Sharing activity relating to the sharing of the content item on a social network by a first user is accessed. Consumption information related to the consumption of the content item. A correlation between the sharing activity and the consumption information is determined. A recommendation is then generated based on the correlation.Type: GrantFiled: February 26, 2019Date of Patent: August 4, 2020Assignee: PayPal, Inc.Inventors: Neelakantan Sundaresan, Atish Das Sarma, Si Si, Elizabeth Churchill
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Publication number: 20200242307Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for creating messages using generative grammar models is presented. A generative grammar model defining a message structure of requested message is accessed. The message structure includes a plurality of lexical slots. The generative grammar model includes a corpus of source data to populate each lexical slot in the plurality of lexical slots, and a grammatical constraint for each lexical slot in the plurality of lexical slots. A message is generated in accordance with the generative grammar model and the message is published.Type: ApplicationFiled: April 10, 2020Publication date: July 30, 2020Inventors: Elizabeth Churchill, Atish Das Sarma, Corinne Sherman Stewart, Gyanit Singh
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Patent number: 10650104Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for creating messages using generative grammar models is presented. A generative grammar model defining a message structure of requested message is accessed. The message structure includes a plurality of lexical slots. The generative grammar model includes a corpus of source data to populate each lexical slot in the plurality of lexical slots, and a grammatical constraint for each lexical slot in the plurality of lexical slots. A message is generated in accordance with the generative grammar model and the message is published.Type: GrantFiled: July 20, 2018Date of Patent: May 12, 2020Assignee: eBay Inc.Inventors: Elizabeth Churchill, Atish Das Sarma, Corinne Elizabeth Sherman-Stewart, Gyanit Singh
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Publication number: 20200020013Abstract: A system to customize user experience based on brand resilience data is described. An example system includes a new session detector, a session type module, a brand resilience module, and a search strategy selector. The new session detector detects commencement of a user session in the on-line trading platform. The session type module examines the initial search request in a user session and determines whether the initial search request includes a phrase that represents a brand name. The brand resilience module examines brand resilience value assigned to the brand name. The search strategy selector selects, based on the brand resilience value, a search strategy for the user session.Type: ApplicationFiled: June 24, 2019Publication date: January 16, 2020Inventors: Elizabeth Churchill, Hugo Liu