Patents by Inventor Blake Shaw
Blake Shaw 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: 20210357978Abstract: A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar taste have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order to rank recommendations with the interface.Type: ApplicationFiled: December 21, 2020Publication date: November 18, 2021Applicant: Foursquare Labs, Inc.Inventors: Noah Weiss, Tristan Walker, Jason Liszka, Tim Julien, Justin Moore, Benjamin N. Lee, Max Elliot Sklar, Blake Shaw
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Patent number: 10872352Abstract: A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar taste have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order to rank recommendations with the interface.Type: GrantFiled: July 11, 2016Date of Patent: December 22, 2020Assignee: Foursquare Labs, Inc.Inventors: Noah Weiss, Tristan Walker, Jason Liszka, Tim Julien, Justin Moore, Benjamin N. Lee, Max Elliot Sklar, Blake Shaw
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Patent number: 9860704Abstract: In non-limiting examples, wireless scan data collected from a processing device is directly mapped to venues. Wireless scan data is received from a processing device where the wireless scan data comprises at least a first identifier of a wireless connection. Venues associated with the first identifier are identified from a mapping of wireless identifiers to venues based on active validation data associated with particular venues including historical wireless scan data of the particular venues. The plurality of venues are ranked according to a likelihood that the processing device is located at a particular venue based on evaluating the active validation data including the historical wireless scan data from the mapping. A predicted venue that the processing device is located at is determined based on the ranking of the plurality of venues. Other examples are also described.Type: GrantFiled: March 31, 2015Date of Patent: January 2, 2018Assignee: Foursquare Labs, Inc.Inventors: Cagatay Berk Kapicioglu, Blake Shaw
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Publication number: 20170124465Abstract: Non-limiting examples of the present disclosure describe analysis of venue data and prediction of trendiness of venues based analyzing the venue data. As an example, one or more new venues are determined. The one or more new venues are determined by identification of a venue that has venue data existing for a period of time less than or equal to a predetermined time threshold. The venue data associated with the one or more new venues is evaluated. A predicted popularity for the one or more new venues is generated based on evaluation of the venue data. The generated predicted popularity may be provided to a processing device. In some examples, a ranked list of the one or more new venues is generated. The ranked list may display the one or more venues in a ranked order according to the generated predicted popularity. Other examples are also described.Type: ApplicationFiled: October 29, 2015Publication date: May 4, 2017Applicant: FOURSQUARE LABS, INC.Inventors: Stephanie Yang, Blake Shaw
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Patent number: 9571962Abstract: A system and method are provided for associating location data from one or more unique sources. The place and time of a unique location enabled device are associated with stored demographic information relating to the particular place and particular time. The place and time of the unique location enabled device are associated with a historical record of past locations and time of locations that the device has been. Based on the association of demographical information and historical information, the unique location enable device is assigned to one or more groups or tribes. The location of all members of the group or tribe can be aggregated and exported for further analysis or display, thereby showing all group or tribe members at a particular time and place.Type: GrantFiled: January 13, 2015Date of Patent: February 14, 2017Assignee: Yellowpages.com LLCInventors: Greg Skibiski, Alex Sandy Pentland, Tony Jabara, Christine Lemke, Markus Loecher, Girish Rao, Jason Uechi, Blake Shaw, Joseph Mattiello
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Publication number: 20170004535Abstract: A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar taste have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order to rank recommendations with the interface.Type: ApplicationFiled: July 11, 2016Publication date: January 5, 2017Applicant: Foursquare Labs, Inc.Inventors: Noah Weiss, Tristan Walker, Jason Liszka, Tim Julien, Justin Moore, Benjamin N. Lee, Max Elliot Sklar, Blake Shaw
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Publication number: 20160295372Abstract: In non-limiting examples, wireless scan data collected from a processing device is directly mapped to venues. Wireless scan data is received from a processing device where the wireless scan data comprises at least a first identifier of a wireless connection. Venues associated with the first identifier are identified from a mapping of wireless identifiers to venues based on active validation data associated with particular venues including historical wireless scan data of the particular venues. The plurality of venues are ranked according to a likelihood that the processing device is located at a particular venue based on evaluating the active validation data including the historical wireless scan data from the mapping. A predicted venue that the processing device is located at is determined based on the ranking of the plurality of venues. Other examples are also described.Type: ApplicationFiled: March 31, 2015Publication date: October 6, 2016Applicant: FOURSQUARE LABS, INC.Inventors: Cagatay Berk Kapicioglu, Blake Shaw
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Patent number: 9390145Abstract: A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar taste have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order to rank recommendations with the interface.Type: GrantFiled: June 11, 2015Date of Patent: July 12, 2016Assignee: FOURSQUARE LABS, INC.Inventors: Noah Weiss, Tristan Walker, Jason Liszka, Tim Julien, Justin Moore, Benjamin N. Lee, Max Elliot Sklar, Blake Shaw
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Publication number: 20150324699Abstract: Methods and systems for predicting links in a network, such as a social network, are disclosed. The existing network structure can be used to optimize link prediction. The methods and systems can learn a distance metric and/or a degree preference function that are structure preserving to predict links for new/existing nodes based on node properties.Type: ApplicationFiled: June 10, 2015Publication date: November 12, 2015Inventors: Tony JEBARA, Bert HUANG, Blake SHAW
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Patent number: 9183504Abstract: A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar tastes have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order or rank recommendations within the interface.Type: GrantFiled: May 21, 2014Date of Patent: November 10, 2015Assignee: FOURSQUARE LABS, INC.Inventors: Justin Moore, Noah Weiss, Benjamin N. Lee, Max Elliot Sklar, Blake Shaw
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Publication number: 20150304807Abstract: A system and method are provided for associating location data from one or more unique sources. The place and time of a unique location enabled device are associated with stored demographic information relating to the particular place and particular time. The place and time of the unique location enabled device are associated with a historical record of past locations and time of locations that the device has been. Based on the association of demographical information and historical information, the unique location enable device is assigned to one or more groups or tribes. The location of all members of the group or tribe can be aggregated and exported for further analysis or display, thereby showing all group or tribe members at a particular time and place.Type: ApplicationFiled: January 13, 2015Publication date: October 22, 2015Inventors: Greg Skibiski, Alex Sandy Pentland, Tony Jabara, Christine Lemke, Markus Loecher, Girish Rao, Jason Uechi, Blake Shaw, Joseph Mattiello
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Publication number: 20150278225Abstract: A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar taste have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order to rank recommendations with the interface.Type: ApplicationFiled: June 11, 2015Publication date: October 1, 2015Applicant: FOURSQUARE LABS, INC.Inventors: Noah Weiss, Tristan Walker, Jason Liszka, Tim Julien, Justin Moore, Benjamin N. Lee, Max Elliot Sklar, Blake Shaw
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Patent number: 9082082Abstract: Methods and systems for predicting links in a network, such as a social network, are disclosed. The existing network structure can be used to optimize link prediction. The methods and systems can learn a distance metric and/or a degree preference function that are structure preserving to predict links for new/existing nodes based on node properties.Type: GrantFiled: December 6, 2012Date of Patent: July 14, 2015Assignee: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORKInventors: Tony Jebara, Bert Huang, Blake Shaw
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Patent number: 8959098Abstract: A system and method are provided for associating location data from one or more unique sources. The place and time of a unique location enabled device are associated with stored demographic information relating to the particular place and particular time. The place and time of the unique location enabled device are associated with a historical record of past locations and time of locations that the device has been. Based on the association of demographical information and historical information, the unique location enabled device is assigned to one or more groups or tribes. The location of all members of the group or tribe can be aggregated and exported for further analysis or display, thereby showing all group or tribe members at a particular time and place.Type: GrantFiled: November 23, 2011Date of Patent: February 17, 2015Assignee: Yellowpages.com LLCInventors: Greg Skibiski, Alex (Sandy) Pentland, Tony Jebara, Christine Lemke, Markus Loecher, Girish Rao, Jason Uechi, Blake Shaw, Joseph Mattiello
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Publication number: 20140358836Abstract: A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar tastes have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order or rank recommendations within the interface.Type: ApplicationFiled: May 21, 2014Publication date: December 4, 2014Applicant: FOURSQUARE LABS, INC.Inventors: Justin Moore, Noah Weiss, Benjamin N. Lee, Max Elliot Sklar, Blake Shaw
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Patent number: 8775351Abstract: A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar tastes have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order or rank recommendations within the interface.Type: GrantFiled: October 25, 2012Date of Patent: July 8, 2014Assignee: Foursquare Labs, Inc.Inventors: Justin Moore, Noah Weiss, Benjamin N. Lee, Max E. Sklar, Blake Shaw
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Publication number: 20140067901Abstract: Systems and methods are provided that presents interesting local content to users at times when the content is most actionable and engaging without the user explicitly entering a search term or expressing intent. In one implementation, the system uses contextual signals about a user to rank local content. Signals may include, for example, who they (one or more users) are, what kinds of places they like, where they are, how familiar they are with the area, the time of day, where the user's friends have been nearby, among other information related to the one or more users. A system may be provided that uses contextual rules and machine learning to target content to users. The system learns which of these contextual signals are most important and alters its ranking function to optimize user engagement in terms of conversions.Type: ApplicationFiled: August 23, 2013Publication date: March 6, 2014Inventors: Blake Shaw, Andrew Hogue, Daniel Salinas, Rongjing Xiang, Tianhui Li, Anoop Ranganath, Siddhartha Sinha, Jon Shea, Jackson Davis, Noah Weiss, Jason Liszka, Timothy Julien, Mark Wyszomierski, Dennis Crowley, Patrick Hayes, Geoffroy Bablon, Siobhan Quinn
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Patent number: 8620624Abstract: A method of detecting an event anomaly includes receiving one or more data points, in which each data point represents a spatial or temporal event; associating a unique identifier with each of the one or more data points to obtain one or more individualized data points; distributing the one or more individualized data points across a grid, in which the grid includes one or more cells; determining an event likelihood ratio for one or more of the grid cells; identifying one or more event clusters, in which each event cluster includes one or more of the grid cells; and storing in a data repository an event cluster having a significance level above a threshold significance level.Type: GrantFiled: September 30, 2008Date of Patent: December 31, 2013Assignee: Sense Networks, Inc.Inventors: Greg Skibiski, Alex (Sandy) Pentland, Tony Jebara, Christine Lemke, Markus Loecher, Girish Rao, Jason Uechi, Blake Shaw, Joseph Mattiello, David Rosenberg
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Publication number: 20130073422Abstract: A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar tastes have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue to based on one or more parameters, and some or all of this information may be used to order or rank recommendations within the interface.Type: ApplicationFiled: March 8, 2012Publication date: March 21, 2013Inventors: Justin Moore, Noah Weiss, Benjamin N. Lee, Max Elliot Sklar, Blake Shaw
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Patent number: 8224766Abstract: Systems and computer-implemented methods are provided for comparing, associating and deriving associations between two or more spatial temporal data trails. One or more spatial-temporal data trails comprising one or more places are received at a processor. Each place is identified by a spatial temporal data point. And each spatial-temporal data trail is associated with an individual. The similarity between pairs of places is determined to establish one or more groups of places or one or more groups of individuals. Similarity and/groups can be determined based on demographics associated with the place or individual.Type: GrantFiled: September 30, 2008Date of Patent: July 17, 2012Assignee: Sense Networks, Inc.Inventors: Greg Skibiski, Alex (Sandy) Pentland, Tony Jebara, Christine Lemke, Markus Loecher, Girish Rao, Jason Uechi, Blake Shaw, Joseph Mattiello, David Rosenberg