Patents by Inventor Jason Sundram

Jason Sundram 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).

  • Patent number: 10382898
    Abstract: In one embodiment, a technique including receiving, from a client system of a user, a first location of the client system. The technique further including receiving, from the client system, an ID of an access point detected by the client system. The technique also including accessing, by the one or more computing devices, an index to determine a second location of the access point based on the ID. The technique further including determining, by the one or more computing devices, a refined location of the client system based on the first location and the second location. The technique also including generating, by the one or more computing devices, a prioritized list of regions based on the refined location and user data. The technique further including transmitting, by the one or more computing devices, information associated with the prioritized list of regions to the client system.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: August 13, 2019
    Assignee: Facebook, Inc.
    Inventors: Jason Michael Carreiro, Jason Sundram, Samuel Riemer Voigt, Lionel Laurent Reyero
  • Publication number: 20190087883
    Abstract: Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.
    Type: Application
    Filed: August 14, 2018
    Publication date: March 21, 2019
    Inventors: Jim Caralis, Nataly Kogan, Masumi Nakamura, Michael Mastroianni, Jason Sundram
  • Patent number: 10057349
    Abstract: Some embodiments include a stream consolidation engine in a social networking system. The stream consolidation engine can receive two or more input data streams (e.g., an activity record data stream and an application service output stream) from the social networking system. The stream consolidation engine can merge an activity record from the activity record data stream with at least a data record from the input data streams (e.g., from the activity record data stream or the application service output stream) to create a conglomerate data record. The stream consolidation engine can supplement the conglomerate data record with asynchronous information from a data storage or derivative data computed based on content in or referenced by the conglomerate data record. The stream consolidation engine can publish the conglomerate data record in a consolidated data stream. The consolidated data stream can be substantially synchronous to at least one of the input data streams.
    Type: Grant
    Filed: November 12, 2015
    Date of Patent: August 21, 2018
    Assignee: Facebook, Inc.
    Inventors: Neil A. Kodner, Jason Sundram, Guven Burc Arpat
  • Patent number: 10049400
    Abstract: Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.
    Type: Grant
    Filed: November 14, 2017
    Date of Patent: August 14, 2018
    Assignee: PAYPAL, INC.
    Inventors: Jim Caralis, Nataly Kogan, Masumi Nakamura, Michael Mastroianni, Jason Sundram
  • Publication number: 20180068373
    Abstract: Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.
    Type: Application
    Filed: November 14, 2017
    Publication date: March 8, 2018
    Inventors: Jim Caralis, Nataly Kogan, Masumi Nakamura, Michael Mastroianni, Jason Sundram
  • Patent number: 9818146
    Abstract: Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.
    Type: Grant
    Filed: January 24, 2017
    Date of Patent: November 14, 2017
    Assignee: PAYPAL, INC.
    Inventors: Jim Caralis, Nataly Kogan, Masumi Nakamura, Michael Mastroianni, Jason Sundram
  • Publication number: 20170262924
    Abstract: Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.
    Type: Application
    Filed: January 24, 2017
    Publication date: September 14, 2017
    Inventors: Jim Caralis, Nataly Kogan, Masumi Nakamura, Michael Mastroianni, Jason Sundram
  • Publication number: 20170142200
    Abstract: Some embodiments include a stream consolidation engine in a social networking system. The stream consolidation engine can receive two or more input data streams (e.g., an activity record data stream and an application service output stream) from the social networking system. The stream consolidation engine can merge an activity record from the activity record data stream with at least a data record from the input data streams (e.g., from the activity record data stream or the application service output stream) to create a conglomerate data record. The stream consolidation engine can supplement the conglomerate data record with asynchronous information from a data storage or derivative data computed based on content in or referenced by the conglomerate data record. The stream consolidation engine can publish the conglomerate data record in a consolidated data stream. The consolidated data stream can be substantially synchronous to at least one of the input data streams.
    Type: Application
    Filed: November 12, 2015
    Publication date: May 18, 2017
    Inventors: Neil A. Kodner, Jason Sundram, Guven Burc Arpat
  • Patent number: 9552605
    Abstract: Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.
    Type: Grant
    Filed: February 1, 2016
    Date of Patent: January 24, 2017
    Assignee: PAYPAL, INC.
    Inventors: Jim Caralis, Nataly Kogan, Masumi Nakamura, Michael Mastroianni, Jason Sundram
  • Publication number: 20160358086
    Abstract: Some embodiments include a method of performing a content analysis study around a central theme utilizing a concept study system. The concept study system can generate a classifier machine corresponding to the content analysis study based on a super topic taxonomy including one or more concept identifiers. The concept study system can process a content object, associated with a user activity in a social networking system, through the classifier machine to determine whether to assign the user activity to the content analysis study. The concept study system can aggregate at least an attribute derived from the user activity in a study-specific data container associated with the content analysis study and compute a statistical or analytical insight based on aggregated attributes in the study-specific data container.
    Type: Application
    Filed: June 5, 2015
    Publication date: December 8, 2016
    Inventors: Jason Sundram, Neil A. Kodner, Mui Thu Tran, Guangdeng Liao, Justin Thomas Palumbo, Guven Burc Arpat, Amit Bahl
  • Publication number: 20160148299
    Abstract: Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.
    Type: Application
    Filed: February 1, 2016
    Publication date: May 26, 2016
    Inventors: Jim Caralis, Nataly Kogan, Masumi Nakamura, Michael Mastroianni, Jason Sundram
  • Patent number: 9251536
    Abstract: Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.
    Type: Grant
    Filed: June 10, 2013
    Date of Patent: February 2, 2016
    Assignee: eBay Inc.
    Inventors: Jim Caralis, Nataly Kogan, Masumi Nakamura, Michael Mastroianni, Jason Sundram
  • Publication number: 20130346233
    Abstract: Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.
    Type: Application
    Filed: June 10, 2013
    Publication date: December 26, 2013
    Applicant: EBAY INC.
    Inventors: Jim Caralis, Nataly Kogan, Masumi Nakamura, Michael Mastroianni, Jason Sundram
  • Publication number: 20130150086
    Abstract: Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.
    Type: Application
    Filed: December 7, 2011
    Publication date: June 13, 2013
    Applicant: eBay Inc.
    Inventors: Jim Caralis, Nataly Kogan, Masumi Nakamura, Michael Mastroianni, Jason Sundram
  • Patent number: 8463295
    Abstract: Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.
    Type: Grant
    Filed: December 7, 2011
    Date of Patent: June 11, 2013
    Assignee: eBay Inc.
    Inventors: Jim Caralis, Nataly Kogan, Masumi Nakamura, Michael Mastroianni, Jason Sundram