Patents by Inventor Mike Niemann

Mike Niemann 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).

  • INTELLIGENT OFFER FOR RELATED PRODUCTS WITH PREVIEW AND REAL TIME FEEDBACK
    Publication number: 20190279274
    Abstract: Recommendations for purchase are made based on customer behavior across multiple sessions. Correlations used for recommendations include: buy-to-buy (cross-session), view-to-view (same-session), view-to-buy (same-session), and abandon-to-buy (same-session) actions. A preview display allows a merchant to adjust recommendation algorithm weightings to achieve a desired result. A closed-loop system is provided with real-time feedback. The recommendations can be based on various segments of other users, including users of the same search engine.
    Type: Application
    Filed: May 24, 2019
    Publication date: September 12, 2019
    Inventors: Charles McGonigal, Russell Salsbury, Saritha Guntumadugu, Mike Niemann, Hemanth Puttaswamy, Srinivasa Ogireddy
  • Method and medium for determining whether a target item is related to a candidate affinity item
    Patent number: 10304113
    Abstract: Recommendations for purchase are made based on customer behavior across multiple sessions. Correlations used for recommendations include: buy-to-buy (cross-session), view-to-view (same-session), view-to-buy (same-session), and abandon-to-buy (same-session) actions. A preview display allows a merchant to adjust recommendation algorithm weightings to achieve a desired result. A closed-loop system is provided with real-time feedback. The recommendations can be based on various segments of other users, including users of the same search engine.
    Type: Grant
    Filed: November 10, 2009
    Date of Patent: May 28, 2019
    Assignee: International Business Machines Corporation
    Inventors: Charles McGonigal, Russell Salsbury, Saritha Guntumadugu, Mike Niemann, Hemanth Puttaswamy, Srinivasa Ogireddy
  • METHOD, MEDIUM AND SYSTEM FOR DETERMINING WHETHER A TARGET ITEM IS RELATED TO A CANDIDATE AFFINITY ITEM
    Publication number: 20100121777
    Abstract: Recommendations for purchase are made based on customer behavior across multiple sessions. Correlations used for recommendations include: buy-to-buy (cross-session), view-to-view (same-session), view-to-buy (same-session), and abandon-to-buy (same-session) actions. A preview display allows a merchant to adjust recommendation algorithm weightings to achieve a desired result. A closed-loop system is provided with real-time feedback. The recommendations can be based on various segments of other users, including users of the same search engine.
    Type: Application
    Filed: November 10, 2009
    Publication date: May 13, 2010
    Applicant: Coremetrics, Inc.
    Inventors: Charles McGonigal, Russell Salsbury, Saritha Guntumadugu, Mike Niemann, Hemanth Puttaswamy, Srinivasa Ogireddy
  • Method, medium, and system for determining whether a target item is related to a candidate affinity item
    Patent number: 7636677
    Abstract: Recommendations for purchase are made based on customer behavior across multiple sessions. Correlations used for recommendations include: buy-to-buy (cross-session), view-to-view (same-session), view-to-buy (same-session), and abandon-to-buy (same-session) actions. A preview display allows a merchant to adjust recommendation algorithm weightings to achieve a desired result. A closed-loop system is provided with real-time feedback. The recommendations can be based on various segments of other users, including users of the same search engine.
    Type: Grant
    Filed: May 14, 2007
    Date of Patent: December 22, 2009
    Assignee: Coremetrics, Inc.
    Inventors: Charles McGonigal, Russell Salsbury, Saritha Guntumadugu, Mike Niemann, Hemanth Puttaswamy, Srinivasa Ogireddy