Patents by Inventor Michal Zasadzinski

Michal Zasadzinski 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).

  • Publication number: 20240168985
    Abstract: One or more computing devices, systems, and/or methods are provided. In an example, a first performance metric score may be determined based upon first content item text. A plurality of similarity scores associated with a plurality of sets of content item text may be determined. One or more sets of content item text may be selected from among the plurality of sets of content item text based upon the plurality of similarity scores and a plurality of performance metric scores associated with the plurality of sets of content item text. The plurality of performance metric scores may comprise one or more performance metric scores associated with the one or more sets of content item text. The one or more performance metric scores may be higher than the first performance metric score. One or more representations of the one or more sets of content item text may be displayed.
    Type: Application
    Filed: January 30, 2024
    Publication date: May 23, 2024
    Inventors: Shaunak Mishra, Changwei Hu, Kevin Yen, Manisha Verma, Yifan Hu, Maxim Ivanovich Sviridenko, Avinash Chukka, Max Edward Beech, Chao-Hung Wang, Hua-Ying Tsai, Kamil Michal Zasadzinski, Wei Yu Lin, Yu Tian
  • Patent number: 11886478
    Abstract: One or more computing devices, systems, and/or methods are provided. In an example, a first performance metric score may be determined based upon first content item text. A plurality of similarity scores associated with a plurality of sets of content item text may be determined. One or more sets of content item text may be selected from among the plurality of sets of content item text based upon the plurality of similarity scores and a plurality of performance metric scores associated with the plurality of sets of content item text. The plurality of performance metric scores may comprise one or more performance metric scores associated with the one or more sets of content item text. The one or more performance metric scores may be higher than the first performance metric score. One or more representations of the one or more sets of content item text may be displayed.
    Type: Grant
    Filed: May 7, 2021
    Date of Patent: January 30, 2024
    Assignee: Yahoo Assets LLC
    Inventors: Shaunak Mishra, Changwei Hu, Kevin Yen, Manisha Verma, Yifan Hu, Maxim Ivanovich Sviridenko, Avinash Chukka, Max Edward Beech, Chao-Hung Wang, Hua-Ying Tsai, Kamil Michal Zasadzinski, Wei Yu Lin, Yu Tian
  • Publication number: 20220358153
    Abstract: One or more computing devices, systems, and/or methods are provided. In an example, a first performance metric score may be determined based upon first content item text. A plurality of similarity scores associated with a plurality of sets of content item text may be determined. One or more sets of content item text may be selected from among the plurality of sets of content item text based upon the plurality of similarity scores and a plurality of performance metric scores associated with the plurality of sets of content item text. The plurality of performance metric scores may comprise one or more performance metric scores associated with the one or more sets of content item text. The one or more performance metric scores may be higher than the first performance metric score. One or more representations of the one or more sets of content item text may be displayed.
    Type: Application
    Filed: May 7, 2021
    Publication date: November 10, 2022
    Inventors: Shaunak Mishra, Changwei Hu, Kevin Yen, Manisha Verma, Yifan Hu, Maxim Ivanovich Sviridenko, Avinash Chukka, Max Edward Beech, Chao-Hung Wang, Hua-Ying Tsai, Kamil Michal Zasadzinski, Wei Yu Lin, Yu Tian
  • Publication number: 20200125448
    Abstract: First data sets associated with a job of a workflow are accessed, each first data set specifying a runtime of a job and a first plurality of feature values of a plurality of features. Feature weighting analyses are executed utilizing the first data sets to rank the plurality of features with respect to their predictive value on whether or not execution of the job is to fail. During execution of the workflow, a runtime of the job of the workflow is monitored. During execution of the job, a likelihood of failure of the job is generated based at least in part on the monitored runtime of the job and a plurality of runtimes of second data sets, the second data sets selected from the first data sets based on the rank of the plurality of features and one or more expected feature values associated with the execution of the job.
    Type: Application
    Filed: October 19, 2018
    Publication date: April 23, 2020
    Applicant: CA Software Österreich GmbH
    Inventors: Gardiner Whitehead von Trapp, Marc Solé Simó, Michal Zasadzinski
  • Publication number: 20200034530
    Abstract: A browser resource controller combines code metric values with a complexity analysis of rendered content to determine whether resource metric values are appropriate for a web application. The browser resource controller analyzes rendered content of a web application to generate the complexity metric values that represent the complexity of the web application. The browser resource controller also compares executable elements from the web application with exploitative code components from code repositories to determine an exploitative code risk. The browser resource controller determines a resource consumption limit for a web application based on both the exploitative code risk and the complexity metric values and compares the resource consumption limit to a detected resource consumption value.
    Type: Application
    Filed: July 26, 2018
    Publication date: January 30, 2020
    Inventors: Michal Zasadzinski, Marc Solé Simó, Victor Muntés-Mulero
  • Patent number: 10417079
    Abstract: Embodiments of the present disclosure relate to a fault tolerant root cause analysis (RCA) system that is able to handle calculation failures during runtime. Calculations (e.g., evaluation of a diagnostic model for a specific component or device) that are performed during the RCA are integrated using different resources of the system under analysis. In order to make a final diagnosis, the resources exchange messages containing calculation inputs and outputs. Calculation problems due to calculation failures in a particular resource can be resolved efficiently which reduces resource utilization and minimizes failure propagation to other parts of the system. Accordingly, the system is able to recover and output a diagnosis even if some of the resources fail or generate problems.
    Type: Grant
    Filed: April 12, 2017
    Date of Patent: September 17, 2019
    Assignee: CA, Inc.
    Inventors: Michal Zasadzinski, Marc Sole Simo, Victor Muntes Mulero
  • Publication number: 20180285181
    Abstract: Embodiments of the present disclosure relate to a fault tolerant root cause analysis (RCA) system that is able to handle calculation failures during runtime. Calculations (e.g., evaluation of a diagnostic model for a specific component or device) that are performed during the RCA are integrated using different resources of the system under analysis. In order to make a final diagnosis, the resources exchange messages containing calculation inputs and outputs. Calculation problems due to calculation failures in a particular resource can be resolved efficiently which reduces resource utilization and minimizes failure propagation to other parts of the system. Accordingly, the system is able to recover and output a diagnosis even if some of the resources fail or generate problems.
    Type: Application
    Filed: April 12, 2017
    Publication date: October 4, 2018
    Inventors: MICHAL ZASADZINSKI, MARC SOLE SIMO, VICTOR MUNTES MULERO
  • Publication number: 20170372212
    Abstract: A root cause analysis system utilizes ACs corresponding to component types in a network to construct a diagnosis model. The system generates the ACs based on component models for each component type in the network and may perform offline evaluation of the ACs using determined conditional probabilities and potential state values and cache the results. When an issue is identified at a component, the system uses a relational schema to determine a set of components on which the component depends and creates a diagnosis model for performing root cause analysis. The diagnosis model includes the component type ACs corresponding to each of the components identified in the relational schema. The system populates the diagnosis model with conditional probabilities and observed state values determined from event indications generated by the components. The system outputs a most probable explanation of the issue based on evaluation of the diagnosis model.
    Type: Application
    Filed: June 28, 2016
    Publication date: December 28, 2017
    Inventors: Michal Zasadzinski, Marc Solé Simó, Victor Muntés-Mulero