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公开(公告)号：US20240338735A1
公开(公告)日：2024-10-10
申请号：US18631346
申请日：2024-04-10
Inventor： John Mullins , Randy Oun , Phillip Michael Wilkowski , Sharon Gibson , Jason Goldfarb , Arsh Singh , Daniel Wilson , Michael P. Baran , Bryan Nussbaum , Anish Agarwal , Ronald Dean Nelson , Alexander Cardona , John Andrew Schirano , Christopher N. Kawakita , Daniel Wang , Amy L. Starr
IPC: G06Q30/02
CPC classification number: G06Q30/0278
Abstract: The following relates generally to determining and/or displaying home scores. In some embodiments, one or more processors: (1) identify an upgrade and/or service to a home; (2) determine a home score improvement that the upgrade and/or service would make for an overall home score, a home safety subscore, a fire protection subscore, a sustainability subscore, and/or a home automation subscore; and/or (3) display the home score improvement along with an indication of the upgrade and/or service on a display.
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公开(公告)号：US12002108B2
公开(公告)日：2024-06-04
申请号：US17973108
申请日：2022-10-25
Inventor： Sharon Gibson , Daniel Wilson , Phillip Michael Wilkowski , Jason Goldfarb , Arsh Singh , Dustin Helland
IPC: G06Q40/08
CPC classification number: G06Q40/08
Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a first property; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least the home data; (3) generating, based upon the one or more home score factors, a home score for the first property; (4) retrieving past hazard data associated with a second property; and (5) generating based upon at least the past hazard data, a home modification recommendation.
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3.发明申请公开(公告)号：US20160224832A1
公开(公告)日：2016-08-04
申请号：US15013362
申请日：2016-02-02
Inventor： Taryn M. Madey , Joshua M. Mast , Sharon Gibson
CPC classification number: H04L67/1097 , G06K9/00979 , G06K9/228 , G06K2209/19
Abstract: Methods and systems for identifying an unidentified plumbing supply product are provided. According to certain aspects, an application executing on an electronic device may be configured to capture image data encoding an image of the unidentified plumbing supply product therein. The application may cause the electronic device to transmit the image data to an identification server. The identification server may analyze the image data to determine the unidentified plumbing supply product encoded in the image data matches a known plumbing supply product in a plumbing supply products database. The identification server may then transmit an indication to the electronic device that the unidentified plumbing supply product was successfully identified. The identification of the unidentified plumbing supply product may be used to process and/or subrogate an insurance claim.
Abstract translation: 提供了用于识别不明身份的管道供应产品的方法和系统。 根据某些方面，在电子设备上执行的应用可以被配置为捕获编码其中未识别的管道供应产品的图像的图像数据。 应用程序可能导致电子设备将图像数据传输到识别服务器。 识别服务器可以分析图像数据以确定图像数据中编码的未识别的管道供应产品与管道供应产品数据库中的已知管道供应产品相匹配。 识别服务器然后可以向电子设备发送指示未识别的管道供应产品被成功识别的指示。 识别不明身份的管道供应产品可用于处理和/或代用保险索赔。
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公开(公告)号：US20250054086A1
公开(公告)日：2025-02-13
申请号：US18416337
申请日：2024-01-18
Inventor： Sharon Gibson
IPC: G06Q30/0601
Abstract: Systems and methods for roof recommendation based upon cumulative weather damage is disclosed herein. An exemplary computing environment includes one or more processors; and a memory storing executable instructions thereon. When executed by the one or more processors, these instructions may cause the one or more processors to: receive roof data from an electronic device and/or database indicating at least a geolocation of a roof, obtain weather data for the geolocation of the roof indicating the weather over a period of time at least near the geolocation, determine a roof recommendation based upon the roof data and the weather data, and/or generate a roof recommendation signal indicating the roof recommendation.
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公开(公告)号：US20230377070A1
公开(公告)日：2023-11-23
申请号：US18228158
申请日：2023-07-31
Inventor： Sharon Gibson , Daniel Wilson , Phillip Michael Wilkowski , Jason Goldfarb , Arsh Singh , Dustin Helland
IPC: G06Q50/16
CPC classification number: G06Q50/16
Abstract: Systems and methods are described for generating and/or displaying an overall home score for a property. The method may include: retrieving one or more attributes of a property; determining one or more home score factors from the attributes; generating an overall home score; generating a neighborhood score; and displaying the overall home score, the neighborhood score and/or a map.
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Patent Agency Ranking
6.发明公开公开(公告)号：US20230342869A1
公开(公告)日：2023-10-26
申请号：US17973099
申请日：2022-10-25
Inventor： Sharon Gibson , Daniel Wilson , Phillip Michael Wilkowski , Jason Goldfarb , Arsh Singh , Dustin Helland
IPC: G06Q50/16
CPC classification number: G06Q50/16
Abstract: Systems and methods are described for analyzing home data to generate a home score. The method may include: retrieving home data for a first property; determining that the first property shares home characteristics with a second property; retrieving past hazard data associated with the second property; determining, based upon at least the home data and the past hazard data, one or more first home score factors, wherein the determining includes: analyzing, using a trained machine learning data evaluation model, the home data to determine home characteristic data for the first property, determining second home score factors for the second property based at least upon the past hazard data, and determining, based upon the home characteristic data and the second home score factors, the one or more first home score factors; and generating, based upon the one or more first home score factors, a home score for the first property.
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公开(公告)号：US09923971B2
公开(公告)日：2018-03-20
申请号：US15013362
申请日：2016-02-02
Inventor： Taryn M. Madey , Joshua M. Mast , Sharon Gibson
CPC classification number: H04L67/1097 , G06K9/00979 , G06K9/228 , G06K2209/19
Abstract: Methods and systems for identifying an unidentified plumbing supply product are provided. According to certain aspects, an application executing on an electronic device may be configured to capture image data encoding an image of the unidentified plumbing supply product therein. The application may cause the electronic device to transmit the image data to an identification server. The identification server may analyze the image data to determine the unidentified plumbing supply product encoded in the image data matches a known plumbing supply product in a plumbing supply products database. The identification server may then transmit an indication to the electronic device that the unidentified plumbing supply product was successfully identified. The identification of the unidentified plumbing supply product may be used to process and/or subrogate an insurance claim.
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公开(公告)号：US20240338775A1
公开(公告)日：2024-10-10
申请号：US18631209
申请日：2024-04-10
Inventor： John Mullins , Randy Oun , Phillip Michael Wilkowski , Sharon Gibson , Jason Goldfarb , Arsh Singh , Daniel Wilson , Michael P. Baran , Bryan Nussbaum , Anish Agarwal , Ronald Dean Nelson , Alexander Cardona , John Andrew Schirano , Christopher N. Kawakita , Daniel Wang , Amy L. Starr
Abstract: The following relates generally to determining and/or displaying home scores. In some embodiments, one or more processors: (1) display, in a first portion of a display, identifying information of a home; and (2) display, in a second portion of the display: (a) an overall home score determined based upon a plurality of home subscores; (b) the plurality of home subscores comprising: a home safety subscore determined via a home safety subscore machine learning algorithm, a fire protection subscore determined via a fire protection subscore machine learning algorithm, a sustainability subscore determined via a sustainability subscore machine learning algorithm, and/or a home automation subscore determined via a home automation subscore machine learning algorithm; and (c) a relative home score comprising a comparison between the overall home score and scores of other homes.
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公开(公告)号：US20240273636A1
公开(公告)日：2024-08-15
申请号：US18643587
申请日：2024-04-23
Inventor： Sharon Gibson , Nicholas Carmelo Marotta , Daniel Wilson , David Frank , Phillip Michael Wilkowski , Jason Goidfarb
IPC: G06Q40/08 , G06N20/00 , G06Q50/163
CPC classification number: G06Q40/08 , G06N20/00 , G06Q50/163
Abstract: Systems and methods are described for evaluating and gamifying maintenance for a property by a user. The method may include: (1) retrieving training data captured by one or more sensors associated with one or more properties or one or more users; (2) retrieving at least one of home data for a property or user data for a user; (3) determining, using a machine learning model, home score factors based upon at least one of the home data or the user data, wherein the machine learning model is trained with the training data; (4) generating, based upon the home score factors, a home score for the property; (5) determining, based upon at least one of the home data or the user data, difference factors between the property and a previous property associated with the user; and (6) causing a user device to display the home score and difference factors.
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公开(公告)号：US20230342868A1
公开(公告)日：2023-10-26
申请号：US17972261
申请日：2022-10-24
Inventor： Sharon Gibson , Nicholas Carmelo Marotta , Daniel Wilson , David Frank , Phillip Michael Wilkowski , Jason Goldfarb
IPC: G06Q50/16
CPC classification number: G06Q50/16
Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) determining, based upon the home data for the property, one or more home score factors, wherein the determining may include: (i) analyzing, using a trained machine learning data evaluation model, the home data for the property to determine home characteristic data for the property, (ii) analyzing, using the trained machine learning data evaluation model, the home data for the property to determine a likelihood of loss associated with the property, and (iii) determining, based upon the home characteristic data for the property and the likelihood of loss associated with the property; and (3) generating, based upon the one or more home score factors, a home score for the property.
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