Patents by Inventor Howard Mario Narvaez

Howard Mario Narvaez 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: 11310184
    Abstract: Methods are presented for classifying responses to communications. One method includes presenting, in a first user interface (UI), a message from a sender to a recipient requesting a response. The first UI includes response options of a first classification, a second classification, and an entry field for entering a free text message. Another operation is for receiving a recipient response with a selection of: (a) the first or the second button and (b) the free text message entered in the text entry field. The method further includes generating a featurized recipient response based on the free text message and the selection. An acceptance machine-learning (ML) model calculates a classification value of the recipient response from a set of possible classification values based on the featurized recipient response. The method further includes presenting, in a second UI for the sender, an indicator for the message and the calculated classification value.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: April 19, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Christian Wilhelm Kurt Byza, Jeffrey William Pasternack, Haowen Ning, Pujita Mathur, Yizhou Pan, Ngoc M. Vu, Akshaya Subbaraya Bhat, Arya Ghatak Choudhury, Jia Liu, Neil Cruz Pomerleau, Howard Mario Narvaez, Kelly K. Hosokawa, Ryan A. Espiritu
  • Publication number: 20220103504
    Abstract: Methods are presented for classifying responses to communications. One method includes presenting, in a first user interface (UI), a message from a sender to a recipient requesting a response. The first UI includes response options of a first classification, a second classification, and an entry field for entering a free text message. Another operation is for receiving a recipient response with a selection of: (a) the first or the second button and (b) the free text message entered in the text entry field. The method further includes generating a featurized recipient response based on the free text message and the selection. An acceptance machine-learning (ML) model calculates a classification value of the recipient response from a set of possible classification values based on the featurized recipient response. The method further includes presenting, in a second UI for the sender, an indicator for the message and the calculated classification value.
    Type: Application
    Filed: September 30, 2020
    Publication date: March 31, 2022
    Inventors: Christian Wilhelm Kurt Byza, Jeffrey William Pasternack, Haowen Ning, Pujita Mathur, Yizhou Pan, Ngoc M. Vu, Akshaya Subbaraya Bhat, Arya Ghatak Choudhury, Jia Liu, Neil Cruz Pomerleau, Howard Mario Narvaez, Kelly K. Hosokawa, Ryan A. Espiritu
  • Patent number: 6661877
    Abstract: A system and method for providing access to a unified message store logically storing computer telephony messages is disclosed. A multiplicity of heterogeneous storage objects corresponding to computer telephony messages are stored in a unified message store. An application software layer exchanging the heterogeneous storage objects with a computer telephony server is exported. The computer telephony server is interfaced via a container subsystem defining encapsulated methods including organization strategy methods and storage strategy methods. A unified inbox generating an indicator for at least one of the computer telephony messages is provided. The unified inbox exports user controls for accessing the corresponding heterogeneous storage objects stored in the unified message store.
    Type: Grant
    Filed: July 3, 2001
    Date of Patent: December 9, 2003
    Assignee: Oracle International Corporation
    Inventors: Jae Jun Lee, Byung-Hee Choung, Tom Charles Kraikit, Jerald Duane Jensen, Varouzhan Ebrahimian, Kurt Lee Christofferson, Kenneth Chun Hei Kwok, Himabindu Dharmavaram, Philip Daman Sarin, Indira Iyer, Sunnia Hsi-Peng Lin, Howard Mario Narvaez