Patents by Inventor Weilie Yi
Weilie Yi 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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Publication number: 20240127284Abstract: A system and method for attributing in-store visits to exposure to advertisement (“ad”) impressions associated with an ad campaign are disclosed. The system gathers impression data and uses that data to identify users who were exposed to the ad impressions. The system then uses location data, activity information and in some instances beacon data points reported by mobile devices of the impression users to determine if the impression users visited a target place during a conversion window. Based on the impression users who were exposed to the ad impressions, the system establishes a control group of users who were not exposed to the ad impressions to perform quasi-experimental analyses to assess whether the ad impressions had any impact on changing the impression users' physical in-store visitation behavior.Type: ApplicationFiled: August 18, 2023Publication date: April 18, 2024Applicant: Foursquare Labs, Inc.Inventors: David Shim, Elliott Waldron, Weilie Yi, Nick Gerner, George Varghese, Andrea Eatherly
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Publication number: 20230316333Abstract: A targeting system based on a predictive targeting model based on observed behavioral data including visit data, user profile and/or survey data, and geographic features associated with a geographic region. The predictive targeting model analyzes the observed behavioral data and the geographic features data to predict conversion rates for every cell in a square grid of predefined size on the geographic region. The conversion rate of a cell indicates a likelihood that any random user in that cell will perform a targeted behavior.Type: ApplicationFiled: April 7, 2023Publication date: October 5, 2023Inventors: David Shim, Elliott Waldron, Weilie Yi, Michael Grebeck, Siddharth Rajaram, Jeremy Tryba, Nick Gerner, Andrea Eatherly
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Patent number: 11734712Abstract: A system and method for attributing in-store visits to exposure to advertisement (“ad”) impressions associated with an ad campaign are disclosed. The system gathers impression data and uses that data to identify users who were exposed to the ad impressions. The system then uses location data, activity information and in some instances beacon data points reported by mobile devices of the impression users to determine if the impression users visited a target place during a conversion window. Based on the impression users who were exposed to the ad impressions, the system establishes a control group of users who were not exposed to the ad impressions to perform quasi-experimental analyses to assess whether the ad impressions had any impact on changing the impression users' physical in-store visitation behavior.Type: GrantFiled: August 13, 2015Date of Patent: August 22, 2023Assignee: FOURSQUARE LABS, INC.Inventors: David Shim, Elliott Waldron, Weilie Yi, Nick Gerner, George Varghese, Andrea Eatherly
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Patent number: 11625755Abstract: A targeting system based on a predictive targeting model based on observed behavioral data including visit data, user profile and/or survey data, and geographic features associated with a geographic region. The predictive targeting model analyzes the observed behavioral data and the geographic features data to predict conversion rates for every cell in a square grid of predefined size on the geographic region. The conversion rate of a cell indicates a likelihood that any random user in that cell will perform a targeted behavior.Type: GrantFiled: August 19, 2019Date of Patent: April 11, 2023Assignee: FOURSQUARE LABS, INC.Inventors: David Shim, Elliott Waldron, Weilie Yi, Michael Grebeck, Siddharth Rajaram, Jeremy Tryba, Nick Gerner, Andrea Eatherly
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Publication number: 20220156252Abstract: A data collection system that provides the means to collect, store and make data available for a location analytics inference pipeline. The system incorporates a feedback mechanism enabling algorithms produced from the inference pipeline to drive the collection strategy to yield higher data quality and to produce reference data for model validation.Type: ApplicationFiled: November 22, 2021Publication date: May 19, 2022Applicant: PLACED, LLCInventors: David Shim, Brad Bicknell, George Varghese, Nick Gerner, Weilie Yi
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Patent number: 11182383Abstract: A data collection system that provides the means to collect, store and make data available for a location analytics inference pipeline. The system incorporates a feedback mechanism enabling algorithms produced from the inference pipeline to drive the collection strategy to yield higher data quality and to produce reference data for model validation.Type: GrantFiled: November 14, 2018Date of Patent: November 23, 2021Assignee: PLACED, LLCInventors: David Shim, Brad Bicknell, George Varghese, Nick Gerner, Weilie Yi
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Patent number: 10423983Abstract: A targeting system based on a predictive targeting model based on observed behavioral data including visit data, user profile and/or survey data, and geographic features associated with a geographic region. The predictive targeting model analyzes the observed behavioral data and the geographic features data to predict conversion rates for every cell in a square grid of predefined size on the geographic region. The conversion rate of a cell indicates a likelihood that any random user in that cell will perform a targeted behavior.Type: GrantFiled: September 16, 2014Date of Patent: September 24, 2019Assignee: Snap Inc.Inventors: David Shim, Elliott Waldron, Weilie Yi, Michael Grebeck, Siddharth Rajaram, Jeremy Tryba, Nick Gerner, Andrea Eatherly
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Patent number: 10204137Abstract: A data collection system that provides the means to collect, store and make data available for a location analytics inference pipeline. The system incorporates a feedback mechanism enabling algorithms produced from the inference pipeline to drive the collection strategy to yield higher data quality and to produce reference data for model validation.Type: GrantFiled: May 10, 2013Date of Patent: February 12, 2019Assignee: Snap Inc.Inventors: David Shim, Brad Bicknell, George Varghese, Nick Gerner, Weilie Yi
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Publication number: 20170332205Abstract: A system to infer place data is disclosed that receives location data collected on a user's mobile electronic device, recognizes when, where and for how long the user makes stops, generates possible places visited, and predicts the likelihood of a user to visit those places.Type: ApplicationFiled: July 31, 2017Publication date: November 16, 2017Inventors: David Shim, Brad Bicknell, George Varghese, Nick Gerner, Weilie Yi
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Patent number: 9723450Abstract: A system to infer place data is disclosed that receives location data collected on a user's mobile electronic device, recognizes when, where and for how long the user makes stops, generates possible places visited, and predicts the likelihood of a user to visit those places.Type: GrantFiled: February 8, 2016Date of Patent: August 1, 2017Assignee: Placed, Inc.Inventors: David Shim, Brad Bicknell, George Varghese, Nick Gerner, Weilie Yi
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Publication number: 20160157062Abstract: A system to infer place data is disclosed that receives location data collected on a user's mobile electronic device, recognizes when, where and for how long the user makes stops, generates possible places visited, and predicts the likelihood of a user to visit those places.Type: ApplicationFiled: February 8, 2016Publication date: June 2, 2016Inventors: David Shim, Brad Bricknell, George Verghese, Nick Gerner, Weilie Yi
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Publication number: 20160078485Abstract: A targeting system based on a predictive targeting model based on observed behavioral data including visit data, user profile and/or survey data, and geographic features associated with a geographic region. The predictive targeting model analyzes the observed behavioral data and the geographic features data to predict conversion rates for every cell in a square grid of predefined size on the geographic region. The conversion rate of a cell indicates a likelihood that any random user in that cell will perform a targeted behavior.Type: ApplicationFiled: September 16, 2014Publication date: March 17, 2016Inventors: David Shim, Elliott Waldron, Weilie Yi, Michael Grebeck, Siddharth Rajaram, Jeremy Tryba, Nick Gerner, Andrea Eatherly
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Publication number: 20160048869Abstract: A system and method for attributing in-store visits to exposure to advertisement (“ad”) impressions associated with an ad campaign are disclosed. The system gathers impression data and uses that data to identify users who were exposed to the ad impressions. The system then uses location data, activity information and in some instances beacon data points reported by mobile devices of the impression users to determine if the impression users visited a target place during a conversion window. Based on the impression users who were exposed to the ad impressions, the system establishes a control group of users who were not exposed to the ad impressions to perform quasi-experimental analyses to assess whether the ad impressions had any impact on changing the impression users' physical in-store visitation behavior.Type: ApplicationFiled: August 13, 2015Publication date: February 18, 2016Applicant: PLACED, INC.Inventors: David Shim, Elliott Waldron, Weilie Yi, Nick Gerner, George Varghese, Andrea Eatherly
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Patent number: 9256832Abstract: A system to infer place data is disclosed that receives location data collected on a user's mobile electronic device, recognizes when, where and for how long the user makes stops, generates possible places visited, and predicts the likelihood of a user to visit those places.Type: GrantFiled: June 9, 2014Date of Patent: February 9, 2016Assignee: Placed, Inc.Inventors: David Shim, Brad Bicknell, George Varghese, Nick Gerner, Weilie Yi
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Patent number: 8972357Abstract: A data collection system that provides the means to collect, store and make data available for a location analytics inference pipeline. The system incorporates a feedback mechanism enabling algorithms produced from the inference pipeline to drive the collection strategy to yield higher data quality and to produce reference data for model validation.Type: GrantFiled: February 24, 2012Date of Patent: March 3, 2015Assignee: Placed, Inc.Inventors: David Shim, Brad Bicknell, George Varghese, Nick Gerner, Weilie Yi
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Publication number: 20140304212Abstract: A system to infer place data is disclosed that receives location data collected on a user's mobile electronic device, recognizes when, where and for how long the user makes stops, generates possible places visited, and predicts the likelihood of a user to visit those places.Type: ApplicationFiled: June 9, 2014Publication date: October 9, 2014Inventors: David Shim, Brad Bicknell, George Varghese, Nick Gerner, Weilie Yi
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Patent number: 8768876Abstract: A system to infer place data is disclosed that receives location data collected on a user's mobile electronic device, recognizes when, where and for how long the user makes stops, generates possible places visited, and predicts the likelihood of a user to visit those places.Type: GrantFiled: February 24, 2012Date of Patent: July 1, 2014Assignee: Placed, Inc.Inventors: David Shim, Brad Bicknell, George Varghese, Nick Gerner, Weilie Yi
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Publication number: 20130254227Abstract: A data collection system that provides the means to collect, store and make data available for a location analytics inference pipeline. The system incorporates a feedback mechanism enabling algorithms produced from the inference pipeline to drive the collection strategy to yield higher data quality and to produce reference data for model validation.Type: ApplicationFiled: May 10, 2013Publication date: September 26, 2013Applicant: PLACED, INC.Inventors: David Shim, Brad Bicknell, George Varghese, Nick Gerner, Weilie Yi
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Publication number: 20130226857Abstract: A system to infer place data is disclosed that receives location data collected on a user's mobile electronic device, recognizes when, where and for how long the user makes stops, generates possible places visited, and predicts the likelihood of a user to visit those places.Type: ApplicationFiled: February 24, 2012Publication date: August 29, 2013Inventors: David Shim, Brad Bicknell, George Varghese, Nick Gerner, Weilie Yi
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Publication number: 20130225202Abstract: A data collection system that provides the means to collect, store and make data available for a location analytics inference pipeline. The system incorporates a feedback mechanism enabling algorithms produced from the inference pipeline to drive the collection strategy to yield higher data quality and to produce reference data for model validation.Type: ApplicationFiled: February 24, 2012Publication date: August 29, 2013Inventors: David Shim, Brad Bicknell, George Varghese, Nick Gerner, Weilie Yi