Patents by Inventor Julie Bornstein
Julie Bornstein 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).
-
Publication number: 20230342365Abstract: A user preference hierarchy is determined from user response to images. Images may be tagged using machine learning models trained to determine values for images. Products are clustered according to product vectors. Images of products within a cluster are clustered according to composition and groups of images are selected from image clusters for soliciting feedback regarding user preference for products of a cluster. Feedback is used to train a user preference model to estimate affinity for a product vector. A user may provide feedback regarding a price point and products are weighted according to a distribution about the price point. The distribution may be asymmetrical according to direction of movement of the price point. Filters may be dynamically defined and presented to a user based on popularity and frequency of occurrence of attribute-value pairs of search results and based on feedback regarding the search results.Type: ApplicationFiled: June 26, 2023Publication date: October 26, 2023Applicant: The Yes Platform, Inc.Inventors: Navin Agarwal, Judy Yi-Chun Hsieh, Debbie Ayano Limongan, Lianghao Chen, Amit Aggarwal, Julie Bornstein
-
Patent number: 11727014Abstract: A user preference hierarchy is determined from user response to images. Images may be tagged using machine learning models trained to determine values for images. Products are clustered according to product vectors. Images of products within a cluster are clustered according to composition and groups of images are selected from image clusters for soliciting feedback regarding user preference for products of a cluster. Feedback is used to train a user preference model to estimate affinity for a product vector. A user may provide feedback regarding a price point and products are weighted according to a distribution about the price point. The distribution may be asymmetrical according to direction of movement of the price point. Filters may be dynamically defined and presented to a user based on popularity and frequency of occurrence of attribute-value pairs of search results and based on feedback regarding the search results.Type: GrantFiled: December 12, 2019Date of Patent: August 15, 2023Assignee: The Yes Platform, Inc.Inventors: Navin Agarwal, Judy Yi-Chun Hsieh, Debbie Ayano Limongan, Lianghao Chen, Amit Aggarwal, Julie Bornstein
-
Patent number: 11386301Abstract: Images are tagged with values in an image data hierarchy that is most subjective at its top level and least subjective at its bottom level, such as a hierarchy including style, type, and features for clothing. A user preference hierarchy is determined from user response to images that are tagged. Tagged images may be generated by processing them with machine learning models trained to determine values for images. Product records including images and other data are analyzed to generate attribute vectors that are encoded to generate product vectors. Products are clustered according to their product vectors. Images of products within a cluster are clustered according to composition and groups of images are selected from image clusters for soliciting feedback regarding user preference for products of a cluster. Feedback is used to train a user preference model to estimate user affinity for a product having a given product vector.Type: GrantFiled: September 6, 2019Date of Patent: July 12, 2022Assignee: The Yes PlatformInventors: Amit Aggarwal, Navin Agarwal, Judy Yi-Chun Hsieh, Lianghao Chen, Preetam Amancharla, Julie Bornstein
-
Patent number: 11373336Abstract: A system allows people to more easily find products matching their skin tone. The system includes a scanning device to scan one or more spots of a person's skin. For example, three different spots can be scanned. The scan determines a skin-tone identifier for the person's skin. With this skin-tone identifier, the customer can view products that match their skin tone.Type: GrantFiled: June 22, 2013Date of Patent: June 28, 2022Assignee: Sephora USA, Inc.Inventors: Lucie Tuan, Savio Thattil, Julie Bornstein, Margarita Arriagada
-
Publication number: 20210182287Abstract: A user preference hierarchy is determined from user response to images. Images may be tagged using machine learning models trained to determine values for images. Products are clustered according to product vectors. Images of products within a cluster are clustered according to composition and groups of images are selected from image clusters for soliciting feedback regarding user preference for products of a cluster. Feedback is used to train a user preference model to estimate affinity for a product vector. A user may provide feedback regarding a price point and products are weighted according to a distribution about the price point. The distribution may be asymmetrical according to direction of movement of the price point. Filters may be dynamically defined and presented to a user based on popularity and frequency of occurrence of attribute-value pairs of search results and based on feedback regarding the search results.Type: ApplicationFiled: December 12, 2019Publication date: June 17, 2021Inventors: Navin Agarwal, Judy Yi-Chun Hsieh, Debbie Ayano Limongan, Lianghao Chen, Amit Aggarwal, Julie Bornstein
-
Publication number: 20210118020Abstract: A user preference hierarchy is determined from user response to images that are tagged. Tagged images may be generated by processing them with machine learning models trained to determine values for images. Product records including images and other data are analyzed to generate attribute vectors that are encoded to generate product vectors. Products are clustered according to their product vectors. Images of products within a cluster are clustered according to composition and groups of images are selected from image clusters for soliciting feedback regarding user preference for products of a cluster. Feedback is used to train a user preference model to estimate affinity for a product having a given product vector. A user may provide feedback regarding a price point and products are weighted according to a distribution having a highest value at the price point. The distribution may be asymmetrical according to direction of movement of the price point.Type: ApplicationFiled: October 21, 2019Publication date: April 22, 2021Inventors: Navin Agarwal, Amit Aggarwal, Judy Yi-Chun Hsieh, Julie Bornstein, Erika Cary, Annisa Karaca
-
Publication number: 20210073593Abstract: Images are tagged with values in an image data hierarchy that is most subjective at its top level and least subjective at its bottom level, such as a hierarchy including style, type, and features for clothing. A user preference hierarchy is determined from user response to images that are tagged. Tagged images may be generated by processing them with machine learning models trained to determine values for images. Product records including images and other data are analyzed to generate attribute vectors that are encoded to generate product vectors. Products are clustered according to their product vectors. Images of products within a cluster are clustered according to composition and groups of images are selected from image clusters for soliciting feedback regarding user preference for products of a cluster. Feedback is used to train a user preference model to estimate user affinity for a product having a given product vector.Type: ApplicationFiled: September 6, 2019Publication date: March 11, 2021Inventors: Amit Aggarwal, Navin Agarwal, Judy Yi-Chun Hsieh, Lianghao Chen, Preetam Amancharla, Julie Bornstein
-
Patent number: 10387937Abstract: A system allows people to more easily find products matching their skin tone. A kiosk at a retail store or other location can assist customers in determining what products are right for them and then purchase them from the retailer. The kiosk can include a scanning device is used to scan one or more spots of a person's skin. For example, three different spots can be scanned. The scan determines a skin-tone identifier for the person's skin. This skin-tone identifier is used by a software program (e.g., executing on a tablet computer) to determine and output a listing of products that are appropriate for the person's skin tone.Type: GrantFiled: December 12, 2016Date of Patent: August 20, 2019Assignee: Sephora USA, Inc.Inventors: Lucie Tuan, Savio Thattil, Erin Grody, Rauvan Dulay, Julie Bornstein, Margarita Arriagada
-
Patent number: 10296958Abstract: A system allows people to more easily find products matching their skin tone. The system includes a database that categorizes cosmetic products according to a skin tone color set. The system includes a scanning device to scan one or more spots of a person's skin. For example, three different spots can be scanned. The scan determines a skin-tone identifier for the person's skin. With this skin-tone identifier, the customer can view products that match their skin tone.Type: GrantFiled: September 13, 2016Date of Patent: May 21, 2019Assignee: Sephora USA, Inc.Inventors: Lucie Tuan, Savio Thattil, David Stauffer, Ryan Poplawski, Meghan Cochran, Marcy Zelmar, Venkat Gopalan, Julie Bornstein, Margarita Arriagada, Christine Rose
-
Patent number: 9519927Abstract: A system allows people to more easily find products matching their skin tone. A kiosk at a retail store or other location can assist customers in determining what products are right for them and then purchase them from the retailer. The kiosk can include a scanning device is used to scan one or more spots of a person's skin. For example, three different spots can be scanned. The scan determines a skin-tone identifier for the person's skin. This skin-tone identifier is used by a software program (e.g., executing on a tablet computer) to determine and output a listing of products that are appropriate for the person's skin tone.Type: GrantFiled: June 23, 2015Date of Patent: December 13, 2016Assignee: Sephora USA, Inc.Inventors: Lucie Tuan, Savio Thattil, Erin Grody, Rauvan Dulay, Julie Bornstein, Margarita Arriagada
-
Patent number: 9442973Abstract: A system allows people to more easily find products matching their skin tone. The system includes a database that categorizes cosmetic products according to a skin tone color set. The system includes a scanning device to scan one or more spots of a person's skin. For example, three different spots can be scanned. The scan determines a skin-tone identifier for the person's skin. With this skin-tone identifier, the customer can view products that match their skin tone.Type: GrantFiled: June 22, 2013Date of Patent: September 13, 2016Assignee: Sephora USA, Inc.Inventors: Lucie Tuan, Savio Thattil, David Stauffer, Ryan Poplawski, Meghan Cochran, Marcy Zelmar, Venkat Gopalan, Julie Bornstein, Margarita Arriagada, Christine Rose
-
Patent number: 9064279Abstract: A system allows people to more easily find products matching their skin tone. A kiosk at a retail store or other location can assist customers in determining what products are right for them and then purchase them from the retailer. The kiosk can include a scanning device is used to scan one or more spots of a person's skin. For example, three different spots can be scanned. The scan determines a skin-tone identifier for the person's skin. This skin-tone identifier is used by a software program (e.g., executing on a tablet computer) to determine and output a listing of products that are appropriate for the person's skin tone.Type: GrantFiled: June 22, 2013Date of Patent: June 23, 2015Assignee: Sephora USA, Inc.Inventors: Lucie Tuan, Savio Thattil, Erin Grody, Rauvan Dulay, Julie Bornstein, Margarita Arriagada