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公开(公告)号:US11748800B1
公开(公告)日:2023-09-05
申请号:US17016342
申请日:2020-09-09
发明人: Zaoshi Amy Yuan , Ming S. Zhao
IPC分类号: G16H20/00 , G16H50/70 , G06Q30/0601 , G06N20/00 , G06Q30/0282 , A61K8/00 , A61Q19/00 , A61Q19/08 , A61Q19/10 , G01N33/68 , A61N5/06 , G16H50/20 , G16H50/80 , G16H50/30 , A61B5/00 , A61F7/00 , A61N7/00
CPC分类号: G06Q30/0631 , A61B5/441 , A61K8/00 , A61N5/0616 , A61Q19/005 , A61Q19/007 , A61Q19/008 , A61Q19/08 , A61Q19/10 , G01N33/6881 , G06N20/00 , G06Q30/0282 , G16H20/00 , G16H50/20 , G16H50/30 , G16H50/70 , G16H50/80 , A61B5/411 , A61B2505/05 , A61F2007/0052 , A61N2007/0034 , G01N2800/00 , G06T2207/30088
摘要: Systems and methods for generating user-specific recommendations of products or services by collaborative filtering executed and/or performed by one or more trained or untrained predictive models configured to ingest product attribute(s), product purpose(s), user location data, and/or user demographics. The predictive model(s) are leveraged to detect and determine user-specific preferences for, and preferences against, particular attributes, features, ingredients, aesthetic styles, and so on.
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公开(公告)号:US20230410179A1
公开(公告)日:2023-12-21
申请号:US18228607
申请日:2023-07-31
发明人: Zaoshi Amy Yuan , Ming S. Zhao
IPC分类号: G06Q30/0601 , G16H50/30 , G01N33/68 , G16H50/20 , A61N5/06 , A61Q19/08 , A61B5/00 , G16H50/80 , A61K8/00 , A61Q19/10 , G06N20/00 , A61Q19/00 , G06Q30/0282 , G16H20/00 , G16H50/70 , A61F7/00 , A61N7/00
CPC分类号: G06Q30/0631 , G06T2207/30088 , G01N33/6881 , G16H50/20 , A61N5/0616 , A61Q19/08 , A61B5/441 , G16H50/80 , A61K8/00 , A61Q19/10 , G06N20/00 , A61Q19/005 , A61Q19/007 , A61Q19/008 , G06Q30/0282 , G16H20/00 , G16H50/70 , A61F2007/0052 , A61B5/411 , A61N2007/0034 , A61B2505/05 , G01N2800/00 , G16H50/30
摘要: Systems and methods for generating user-specific recommendations of products or services by collaborative filtering executed and/or performed by one or more trained or untrained predictive models configured to ingest product attribute(s), product purpose(s), user location data, and/or user demographics. The predictive model(s) are leveraged to detect and determine user-specific preferences for, and preferences against, particular attributes, features, ingredients, aesthetic styles, and so on.
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公开(公告)号:US20230252838A1
公开(公告)日:2023-08-10
申请号:US18106390
申请日:2023-02-06
发明人: Zaoshi Amy Yuan , Ming S. Zhao , Luke Weston
摘要: Systems and methods for operating a vending machine and one or more remote servers or services to generate user-specific recommendations of products or services by collaborative filtering executed and/or performed by one or more trained or untrained predictive models configured to ingest product attribute(s), product purpose(s), user location data, and/or user demographics. The predictive model(s) are leveraged to detect and determine user-specific preferences for, and preferences against, particular attributes, features, ingredients, aesthetic styles, and so on. Recommendations are leveraged to provide a custom selection of products and/or a custom mixture of products from the vending machine.
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公开(公告)号:US20220253418A1
公开(公告)日:2022-08-11
申请号:US17700308
申请日:2022-03-21
发明人: Zaoshi Amy Yuan , Ming S. Zhao
IPC分类号: G06F16/22 , G06F16/2457 , G06F21/62 , G16H20/10
摘要: Systems and methods for providing recommendations to users while maintaining privacy and information security for those users. In particular, user demographic information and/or geographic/environmental information can be represented as hashes, or fingerprints, which in turn can define a dimension of a recommendation matrix having another dimension defined by attributes of products, services, routines, and so on that may be associated with recommendations to the user. The values of the recommendation matrix can correspond to normalized customer review data and/or other data.
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公开(公告)号:US11328338B1
公开(公告)日:2022-05-10
申请号:US17014161
申请日:2020-09-08
发明人: Zaoshi Amy Yuan , Ming S. Zhao
摘要: A method of providing a skincare regimen recommendation and curated skincare product portfolio is described. A user may enter user skincare data and a user skin profile may be generated from this data. The user skin profile may be mapped to skin matrix factors of a user skin profile matrix to derive a skin profile identifier. The skin profile identifier may be used to select ingredients to formulate a curated product line, specific to the skin issues that the user identified. A recommendation for the curated product line may be provided to the user as well as the option for the user to purchase an individual curated product or the entire product line.
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