Patents by Inventor Theam Yong Chew

Theam Yong Chew 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).

  • Hybrid recommendation system
    Patent number: 10296961
    Abstract: A hybrid recommendation system uses offline testing and online testing to generate and optimize recommendation functions. The functions generate recommendations which may be presented online for product purchases. Indices are created from the recommendations. Lookups may be performed on the indices to select recommendations for a particular user. The selected recommendations may be filtered before presenting to the user.
    Type: Grant
    Filed: December 13, 2016
    Date of Patent: May 21, 2019
    Assignee: ACCENTURE GLOBAL SERVICES LIMITED
    Inventors: Stephen Denis Kirkby, Theam Yong Chew, Christos Boukis, Georgios Passalis
  • Parameter set determination for clustering of datasets
    Patent number: 10235443
    Abstract: A clustering system selects a parameter set from a plurality of parameter sets associated with a dataset to generate a hyper-optimized cluster of the dataset. Different parameter sets are generated by varying the parameter values based on the Genetic Algorithm or a particle swarming algorithm. A parameter set having a high Fitness score is selected from the different parameter sets and a clustered solution produced using the selected parameter set having a maximum total score is used to produce actionable items.
    Type: Grant
    Filed: March 1, 2016
    Date of Patent: March 19, 2019
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Emily Hackett-Jones, Theam Yong Chew, Stephen Kirkby, Rob Pallotta, Katherine Enderling
  • PARAMETER SET DETERMINATION FOR CLUSTERING OF DATASETS
    Publication number: 20170255688
    Abstract: A clustering system selects a parameter set from a plurality of parameter sets associated with a dataset to generate a hyper-optimized cluster of the dataset. Different parameter sets are generated by varying the parameter values based on the Genetic Algorithm or a particle swarming algorithm. A parameter set having a high Fitness score is selected from the different parameter sets and a clustered solution produced using the selected parameter set having a maximum total score is used to produce actionable items.
    Type: Application
    Filed: March 1, 2016
    Publication date: September 7, 2017
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Emily HACKETT-JONES, Theam Yong CHEW, Stephen KIRKBY, Rob PALLOTTA, Katherine ENDERLING
  • HYBRID RECOMMENDATION SYSTEM
    Publication number: 20170124628
    Abstract: A hybrid recommendation system uses offline testing and online testing to generate and optimize recommendation functions. The functions generate recommendations which may be presented online for product purchases. Indices are created from the recommendations. Lookups may be performed on the indices to select recommendations for a particular user. The selected recommendations may be filtered before presenting to the user.
    Type: Application
    Filed: December 13, 2016
    Publication date: May 4, 2017
    Applicant: Accenture Global Services Limited
    Inventors: Stephen Denis KIRKBY, Theam Yong CHEW, Christos BOUKIS, Georgios PASSALIS
  • Hybrid recommendation system
    Patent number: 9524522
    Abstract: A hybrid recommendation system uses offline testing and online testing to generate and optimize recommendation functions. The functions generate recommendations which may be presented online for product purchases. Indices are created from the recommendations. Lookups may be performed on the indices to select recommendations for a particular user. The selected recommendations may be filtered before presenting to the user.
    Type: Grant
    Filed: March 8, 2013
    Date of Patent: December 20, 2016
    Assignee: ACCENTURE GLOBAL SERVICES LIMITED
    Inventors: Stephen Denis Kirkby, Theam Yong Chew, Christos Boukis, Georgios Passalis
  • HYBRID RECOMMENDATION SYSTEM
    Publication number: 20140067597
    Abstract: A hybrid recommendation system uses offline testing and online testing to generate and optimize recommendation functions. The functions generate recommendations which may be presented online for product purchases. Indices are created from the recommendations. Lookups may be performed on the indices to select recommendations for a particular user. The selected recommendations may be filtered before presenting to the user.
    Type: Application
    Filed: March 8, 2013
    Publication date: March 6, 2014
    Inventors: Stephen Denis Kirkby, Theam Yong Chew, Christos Boukis, Georgios Passalis