Patents by Inventor Mohamed Gamal Mohamed Mahmoud

Mohamed Gamal Mohamed Mahmoud 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: 10261952
    Abstract: The disclosed embodiments provide a system for restoring temporal coherence of ranked content that was previously shown to a user. During operation, the system receives a set of content items to display to the user. For each content item, the system obtains a ranking score; determines if the content item was impressed upon the user during a prior session; and, if so, adds the content item to an impressed subset of content items. The system creates a display order for the set of content items by: removing the impressed content items from the set of content items; ordering the set of content items according to their ranking scores; ordering the impressed subset of content items according to their display order in the prior session; and inserting the impressed subset into the set of content items at a determined insertion point. The system then displays the ordered set of content items.
    Type: Grant
    Filed: June 8, 2016
    Date of Patent: April 16, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Mohamed Gamal Mohamed Mahmoud, Hui Wang, Heidi W. Chao, Tomer Cohen, Hao-Hsien Ko
  • Publication number: 20190074987
    Abstract: One embodiment of the present invention sets forth a technique for organizing meeting content. The technique includes generating, from a set of available meetings, a thread comprising a collection of related meetings that share one or more attributes. The technique also includes aggregating data for the related meetings, where the data comprises metadata for the related meetings and terms included in recordings of the related meetings. The technique further includes outputting at least a portion of the aggregated data within a summary of the thread.
    Type: Application
    Filed: September 5, 2018
    Publication date: March 7, 2019
    Inventors: David Abraham WIENER, Stuart Elliot POSLUNS, Mohamed Gamal Mohamed MAHMOUD
  • Patent number: 10062101
    Abstract: The disclosed embodiments provide a system for maximizing the propensity of content consumption according to content complexity and content consumption time. During operation, the system receives a request from a user to access a content feed. Based on a time of receipt, the system identifies a current seasonality that corresponds to reading habits of the user during a time period encompassing the time of receipt. The system then accesses a profile for the user to obtain a reading speed of the user and the reading habits of the user for the current seasonality. Next, the system: identifies a subset of content items; estimates a reading session length; and determines a complexity, with regard to the user, for each content item. The system then creates the content feed by ordering the subset of content items according to the reading session length and the complexity of each content item.
    Type: Grant
    Filed: August 4, 2016
    Date of Patent: August 28, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Mohamed Gamal Mohamed Mahmoud, Sofia Andrianakou
  • Publication number: 20180091467
    Abstract: Methods and systems for creating optimal time limited messages is disclosed. The server system receives a limited time message request from a first member, wherein the message request identifies a second member as the intended recipient and includes an offer. The server system accesses a member profile associated with the second member. The server system determines a message expiration time recommendation based, at least in part, on member profile data of the second member. The server system receives an expiration time selection from the first member. The server system creates a limited time message based on the received message request. The server system transmits the limited time message to the second member.
    Type: Application
    Filed: September 26, 2016
    Publication date: March 29, 2018
    Inventors: Sofia Andrianakou, Mohamed Gamal Mohamed Mahmoud
  • Publication number: 20180040056
    Abstract: The disclosed embodiments provide a system for maximizing the propensity of content consumption according to content complexity and content consumption time. During operation, the system receives a request from a user to access a content feed. Based on a time of receipt, the system identifies a current seasonality that corresponds to reading habits of the user during a time period encompassing the time of receipt. The system then accesses a profile for the user to obtain a reading speed of the user and the reading habits of the user for the current seasonality. Next, the system: identifies a subset of content items; estimates a reading session length; and determines a complexity, with regard to the user, for each content item. The system then creates the content feed by ordering the subset of content items according to the reading session length and the complexity of each content item.
    Type: Application
    Filed: August 4, 2016
    Publication date: February 8, 2018
    Applicant: LinkedIn Corporation
    Inventors: Mohamed Gamal Mohamed Mahmoud, Sofia Andrianakou
  • Publication number: 20180004753
    Abstract: A system and method for intermediate landing page rerouting are provided. In example embodiments, determine whether a webpage associated with a hyperlink has corresponding social network activities. Extract content from the webpage determined to have corresponding social network activities. In response to a selection of the hyperlink, reroute a web browser to an intermediate landing page. Cause presentation, at a user interface, of the extracted content and the corresponding social network activities.
    Type: Application
    Filed: June 30, 2016
    Publication date: January 4, 2018
    Inventors: Shaunak Chatterjee, Ravi Kiran Holur Vijay, Romer E. Rosales, Mohamed Gamal Mohamed Mahmoud, Zheng Li, Kwei-you Tao, Bee-Chung Chen, Deepak Agarwal