Patents by Inventor Adrian Witas

Adrian Witas 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: 11315025
    Abstract: A method and system provide the ability to forecast events that match a criterion. Input is received and includes an event set and a criterion. The event set includes events and each of the events is a record with features. Each feature is an instance of a feature type (FT) and feature value (FV) combination. The criterion is a logical statement that specifies a criterion FT, a criterion FV, and an operator. The event set is partitioned and a partition BitSet is built for each partition. Each partition length of each partition BitSet is based on a number of the events. Based on the partition BitSets, a partition FT-FV count is created. For each partition, a partition FT criterion BitSet is created and a partition Criterion BitSet is computed based thereon. The forecast is then computed based on the partition Criterion BitSet.
    Type: Grant
    Filed: October 4, 2018
    Date of Patent: April 26, 2022
    Assignee: VIANT TECHNOLOGY LLC
    Inventors: Adrian Witas, Varoujan Bedirian
  • Patent number: 10430467
    Abstract: A method and system provide the ability to determine matching subjects for features provided in a stimulus. Subject information is pre-processed by receiving input (a feature type definition and a subject set) and building BitSets across all subjects in the subject set. The stimulus is received and includes stimulus features. For each feature type in the stimulus features, all feature type BitSets from the subject set that match are assembled. An evaluation BitSet is built by combining the assembled feature type BitSets. Matching subjects that match the stimulus are determined based on the evaluation BitSet.
    Type: Grant
    Filed: September 8, 2017
    Date of Patent: October 1, 2019
    Assignee: VIANT TECHNOLOGY LLC
    Inventors: Adrian Witas, Kyle R. Kincaid, Varoujan Bedirian
  • Publication number: 20190287001
    Abstract: A method and system provide the ability to forecast events that match a criterion. Input is received and includes an event set and a criterion. The event set includes events and each of the events is a record with features. Each feature is an instance of a feature type (FT) and feature value (FV) combination. The criterion is a logical statement that specifies a criterion FT, a criterion FV, and an operator. The event set is partitioned and a partition BitSet is built for each partition. Each partition length of each partition BitSet is based on a number of the events. Based on the partition BitSets, a partition FT-FV count is created. For each partition, a partition FT criterion BitSet is created and a partition Criterion BitSet is computed based thereon. The forecast is then computed based on the partition Criterion BitSet.
    Type: Application
    Filed: October 4, 2018
    Publication date: September 19, 2019
    Applicant: Viant Technology LLC
    Inventors: Adrian Witas, Varoujan Bedirian
  • Publication number: 20190080021
    Abstract: A method and system provide the ability to determine matching subjects for features provided in a stimulus. Subject information is pre-processed by receiving input (a feature type definition and a subject set) and building BitSets across all subjects in the subject set. The stimulus is received and includes stimulus features. For each feature type in the stimulus features, all feature type BitSets from the subject set that match are assembled. An evaluation BitSet is built by combining the assembled feature type BitSets. Matching subjects that match the stimulus are determined based on the evaluation BitSet.
    Type: Application
    Filed: September 8, 2017
    Publication date: March 14, 2019
    Applicant: Viant Technology LLC
    Inventors: Adrian Witas, Kyle R. Kincaid, Varoujan Bedirian