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Sebastian A Kreft

from San Francisco, CA

Sebastian Kreft Phones & Addresses

  • San Francisco, CA

Us Patents

  • Email Suggestor System

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  • US Patent:
    20130185311, Jul 18, 2013
  • Filed:
    Jan 17, 2013
  • Appl. No.:
    13/744141
  • Inventors:
    Gaston L'Huillier - Cambridge MA, US
    Sebastian Kreft - San Francisco CA, US
    Francisco Larrain - Palo Alto CA, US
  • Assignee:
    GROUPON, INC. - Chicago IL
  • International Classification:
    G06F 17/30
  • US Classification:
    707748, 707755
  • Abstract:
    The email suggestor system and method provide an efficient and effective way to capture a user identifier, such as an email address of a consumer in a retail environment. The email suggestor system generates one or more suggested first text portions based on input data, outputs at least one of the suggested first text portions, and receives a selection of a first text portion. The email suggestor system generates one or more suggested second text portions of a user identifier based on the input data, outputs at least one of the suggested second text portions, and receives a selection of a second text portion. The email suggestor system generates a user identifier including the selected first text portion and the selected second text portion. The email suggestor system uses received feedback response to refine and/or train one or more models with which it generates the suggested text portions.
  • Computing Early Adopters And Potential Influencers Using Transactional Data And Network Analysis

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  • US Patent:
    20130132158, May 23, 2013
  • Filed:
    May 25, 2012
  • Appl. No.:
    13/481407
  • Inventors:
    GASTON L'HUILLIER - Cambridge MA, US
    Francisco Larrain - Palo Alto CA, US
    Ricardo Zilleruelo - Mountain View CA, US
    Sebastian Kreft - San Francisco CA, US
  • Assignee:
    Groupon, Inc. - Chicago IL
  • International Classification:
    G06Q 30/02
  • US Classification:
    705 733, 705 729
  • Abstract:
    The early adopters and potential influencers (EAPI) system, method and computer-readable medium provide a way to identify early adopters and potential influencers. The EAPI system obtains a list of purchases for customers of merchants and/or subscriptions from a transaction tracking system. The EAPI system creates a time-based transaction network, and using a scoring function, the EAPI system determines an early adopter and/or potential influencer ranking among customers in the network. The EAPI system may use one or more customer attributes to determine a customer's influence with respect to different dimensions.
  • Email Suggestor System

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  • US Patent:
    20200372216, Nov 26, 2020
  • Filed:
    May 13, 2020
  • Appl. No.:
    15/930635
  • Inventors:
    - Chicago IL, US
    Gaston L'Huillier - San Francisco CA, US
    Sebastian Kreft - San Francisco CA, US
    Francisco Larrain - Palo Alto CA, US
  • International Classification:
    G06F 40/274
    G06F 16/28
    G06Q 30/02
    G06Q 20/24
    G06Q 20/40
  • Abstract:
    The email suggestor system and method provide an efficient and effective way to capture a user identifier, such as an email address of a consumer in a retail environment. The email suggestor system generates one or more suggested first text portions based on input data, outputs at least one of the suggested first text portions, and receives a selection of a first text portion. The email suggestor system generates one or more suggested second text portions of a user identifier based on the input data, outputs at least one of the suggested second text portions, and receives a selection of a second text portion. The email suggestor system generates a user identifier including the selected first text portion and the selected second text portion. The email suggestor system uses received feedback response to refine and/or train one or more models with which it generates the suggested text portions.
  • Determining Transactional Networks Using Transactional Data

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  • US Patent:
    20200273053, Aug 27, 2020
  • Filed:
    Feb 28, 2020
  • Appl. No.:
    16/805343
  • Inventors:
    - Chicago IL, US
    Evan MACMILLAN - Los Altos CA, US
    Francisco LARRAIN - Palo Alto CA, US
    Ricardo ZILLERUELO - Mountain View CA, US
    Sebastian KREFT - San Francisco CA, US
  • Assignee:
    Groupon, Inc. - Chicago IL
  • International Classification:
    G06Q 30/02
    G06Q 50/00
  • Abstract:
    The early adopters and potential influencers (EAPI) system, method and computer-readable medium provide a way to identify early adopters and potential influencers. The EAPI system obtains a list of purchases for customers of merchants and/or subscriptions from a transaction tracking system. The EAPI system creates a time-based transaction network, and using a scoring function, the EAPI system determines an early adopter and/or potential influencer ranking among customers in the network. The EAPI system may use one or more customer attributes to determine a customer's influence with respect to different dimensions.
  • Email Suggestor System

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  • US Patent:
    20190205374, Jul 4, 2019
  • Filed:
    Oct 30, 2018
  • Appl. No.:
    16/174496
  • Inventors:
    - Chicago IL, US
    Gaston L'Huillier - San Francisco CA, US
    Sebastian Kreft - San Francisco CA, US
    Francisco Larrain - Palo Alto CA, US
  • International Classification:
    G06F 17/27
    G06F 16/28
    G06Q 20/40
    G06Q 30/02
    G06Q 20/24
  • Abstract:
    The email suggestor system and method provide an efficient and effective way to capture a user identifier, such as an email address of a consumer in a retail environment. The email suggestor system generates one or more suggested first text portions based on input data, outputs at least one of the suggested first text portions, and receives a selection of a first text portion. The email suggestor system generates one or more suggested second text portions of a user identifier based on the input data, outputs at least one of the suggested second text portions, and receives a selection of a second text portion. The email suggestor system generates a user identifier including the selected first text portion and the selected second text portion. The email suggestor system uses received feedback response to refine and/or train one or more models with which it generates the suggested text portions.
  • Email Suggestor System

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  • US Patent:
    20170337178, Nov 23, 2017
  • Filed:
    Feb 27, 2017
  • Appl. No.:
    15/443556
  • Inventors:
    - Chicago IL, US
    Gaston L'Huillier - San Francisco CA, US
    Sebastian Kreft - San Francisco CA, US
    Francisco Larrain - Palo Alto CA, US
  • International Classification:
    G06F 17/27
    G06Q 20/24
    G06F 17/30
    G06Q 30/02
    G06Q 20/40
  • Abstract:
    The email suggestor system and method provide an efficient and effective way to capture a user identifier, such as an email address of a consumer in a retail environment. The email suggestor system generates one or more suggested first text portions based on input data, outputs at least one of the suggested first text portions, and receives a selection of a first text portion. The email suggestor system generates one or more suggested second text portions of a user identifier based on the input data, outputs at least one of the suggested second text portions, and receives a selection of a second text portion. The email suggestor system generates a user identifier including the selected first text portion and the selected second text portion. The email suggestor system uses received feedback response to refine and/or train one or more models with which it generates the suggested text portions.
  • Email Suggestor System

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  • US Patent:
    20160162890, Jun 9, 2016
  • Filed:
    Dec 3, 2015
  • Appl. No.:
    14/958423
  • Inventors:
    - Chicago IL, US
    Gaston L'Huillier - San Francisco CA, US
    Sebastian Kreft - San Francisco CA, US
    Francisco Larrain - Palo Alto CA, US
  • International Classification:
    G06Q 20/40
    G06Q 20/24
    H04L 12/58
  • Abstract:
    The email suggestor system and method provide an efficient and effective way to capture a user identifier, such as an email address of a consumer in a retail environment. The email suggestor system generates one or more suggested first text portions based on input data, outputs at least one of the suggested first text portions, and receives a selection of a first text portion. The email suggestor system generates one or more suggested second text portions of a user identifier based on the input data, outputs at least one of the suggested second text portions, and receives a selection of a second text portion. The email suggestor system generates a user identifier including the selected first text portion and the selected second text portion. The email suggestor system uses received feedback response to refine and/or train one or more models with which it generates the suggested text portions.

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