Patents by Inventor Andreas Schmidt JENSEN

Andreas Schmidt JENSEN 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: 20240249243
    Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating generation of item insights. In embodiments, an insight request requesting an item insight(s) is obtained. Thereafter, a collaboration network insight associated with an item of content is determined. The collaboration network insight may indicate a collaboration network that includes content items related to one another and entities associated with the set of content items. An item context insight associated with the item of content may also be determined. The item context insight can indicate a status change of the item of content relative to a most recentuser view of the item of content. Based on generation of the collaboration network insight and the item context insights, such insights can be provided in association with the item of content for display.
    Type: Application
    Filed: June 2, 2023
    Publication date: July 25, 2024
    Inventors: Torbjørn HELVIK, Mohamed Abdelwahab Mohamed WAHBALLAH, Shibashankar SAHOO, Gideon Keprono SONOIYA, Natalia AN, Fabien Jérémy Louis VAVRAND, Zhifei MAO, Alina ASTRAKOVA, Thor Niclas Åke KJÄLL-OHLSSON, lgor POPOV, Mustafe Ahmed FARAH, Andreas Schmidt JENSEN
  • Publication number: 20240144042
    Abstract: A candidate virtual team is generated using a team prediction model. The team prediction model is trained based on user feedback. Activity data of a user is collected, the activity data is associated with activities in which the user and a set of other users have engaged. A candidate virtual team associated with the collected activity data is generated using a team prediction model and the candidate virtual team is presented to the user using an interface. User feedback data associated with the generated candidate virtual team is received from the user. The team prediction model is trained using the received user feedback data, whereby accuracy of future generated candidate virtual teams generated by the team prediction model is improved during the training. The training of the team prediction model based on user feedback improves the generation of virtual teams over time.
    Type: Application
    Filed: November 1, 2022
    Publication date: May 2, 2024
    Inventors: Torbjørn HELVIK, Vikramjeet Singh JASSAL, Mohammadreza BONYADI, Andreas Schmidt JENSEN, Lene C. RYDNINGEN