Patents by Inventor Pradhuman Jhala

Pradhuman Jhala 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: 10984006
    Abstract: A real-time messaging platform and method are disclosed which suggests messages and accounts from the real-time messaging platform.
    Type: Grant
    Filed: January 29, 2018
    Date of Patent: April 20, 2021
    Assignee: Twitter, Inc.
    Inventors: Gilad Mishne, Pradhuman Jhala, Anand Madhavan, Florian Thomas Leibert
  • Patent number: 10521484
    Abstract: A method and system for facilitating typeahead. The method can include: identifying a set of topics and/or connected accounts; storing, based on one or more signals associated with a user account, a portion of the topics and/or connected accounts in a cache; and using the cache to provide typeahead suggestions to a client in response to a request associated with the user account.
    Type: Grant
    Filed: December 28, 2017
    Date of Patent: December 31, 2019
    Assignee: Twitter, Inc.
    Inventors: Babak Ghassemi Hamadani, Timothy Trueman, Krishna Gade, Yu-shuang Li, Pankaj Gupta, Pradhuman Jhala
  • Patent number: 9886515
    Abstract: A method and system for facilitating typeahead. The method can include: identifying a set of topics and/or connected accounts; storing, based on one or more signals associated with a user account, a portion of the topics and/or connected accounts in a cache; and using the cache to provide typeahead suggestions to a client in response to a request associated with the user account.
    Type: Grant
    Filed: August 22, 2016
    Date of Patent: February 6, 2018
    Assignee: Twitter, Inc.
    Inventors: Babak Ghassemi Hamadani, Timothy Trueman, Krishna Gade, Yu-shuang Li, Pankaj Gupta, Pradhuman Jhala
  • Patent number: 9881060
    Abstract: A real-time messaging platform and method are disclosed which suggests messages and accounts from the real-time messaging platform.
    Type: Grant
    Filed: March 21, 2016
    Date of Patent: January 30, 2018
    Assignee: Twitter, Inc.
    Inventors: Gilad Mishne, Pradhuman Jhala, Anand Madhavan, Florian Thomas Leibert
  • Patent number: 9424359
    Abstract: A method and system for facilitating typeahead. The method can include: identifying a set of topics and/or connected accounts; storing, based on one or more signals associated with a user account, a portion of the topics and/or connected accounts in a cache; and using the cache to provide typeahead suggestions to a client in response to a request associated with the user account.
    Type: Grant
    Filed: March 17, 2014
    Date of Patent: August 23, 2016
    Assignee: Twitter, Inc.
    Inventors: Babak Ghassemi Hamadani, Timothy Trueman, Krishna Gade, Yu-shuang Li, Pankaj Gupta, Pradhuman Jhala
  • Patent number: 9313152
    Abstract: A real-time messaging platform and method are disclosed which suggests messages and accounts from the real-time messaging platform.
    Type: Grant
    Filed: October 11, 2013
    Date of Patent: April 12, 2016
    Assignee: Twitter, Inc.
    Inventors: Gilad Mishne, Pradhuman Jhala, Anand Madhavan, Florian Thomas Leibert
  • Patent number: 8612529
    Abstract: A real-time messaging platform and method are disclosed which suggests messages and accounts from the real-time messaging platform.
    Type: Grant
    Filed: August 22, 2011
    Date of Patent: December 17, 2013
    Assignee: Twitter, Inc.
    Inventors: Gilad Mishne, Pradhuman Jhala, Anand Madhavan, Florian Thomas Leibert
  • Patent number: 8275722
    Abstract: Systems and methods for determining semantically related terms using an active learning framework such as Transductive Experimental Design are disclosed. Generally, to enhance a keyword suggestion tool, an active learning module trains a model to predict whether a term is relevant to a user. The model is then used to present the user with terms that have been determined to be relevant based on the model so that an online advertisement service provider may more efficiently provide a user with terms that are semantically related to a seed set.
    Type: Grant
    Filed: March 10, 2010
    Date of Patent: September 25, 2012
    Assignee: Yahoo! Inc.
    Inventors: Pradhuman Jhala, Xiaofei He
  • Publication number: 20100169249
    Abstract: Systems and methods for determining semantically related terms using an active learning framework such as Transductive Experimental Design are disclosed. Generally, to enhance a keyword suggestion tool, an active learning module trains a model to predict whether a term is relevant to a user. The model is then used to present the user with terms that have been determined to be relevant based on the model so that an online advertisement service provider may more efficiently provide a user with terms that are semantically related to a seed set.
    Type: Application
    Filed: March 10, 2010
    Publication date: July 1, 2010
    Applicant: Yahoo Inc.
    Inventors: Pradhuman Jhala, Xiaofei He
  • Patent number: 7707127
    Abstract: Systems and methods for determining semantically related terms using an active learning framework such as Transductive Experimental Design are disclosed. Generally, to enhance a keyword suggestion tool, an active learning module trains a model to predict whether a term is relevant to a user. The model is then used to present the user with terms that have been determined to be relevant based on the model so that an online advertisement service provider may more efficiently provide a user with terms that are semantically related to a seed set.
    Type: Grant
    Filed: April 30, 2007
    Date of Patent: April 27, 2010
    Assignee: Yahoo! Inc.
    Inventors: Pradhuman Jhala, Xiaofe He
  • Patent number: 7552112
    Abstract: A system is described for discovering associative intent queries based on search web logs. The system may mine one or more user sessions comprising data from search engine query logs and generate query pairs based on the data. The system may use statistics and morphology to identify relationships among the query pairs. From these relationships, the system may distinguish the associative intent query pairs from the similar and unrelated intent query pairs.
    Type: Grant
    Filed: September 18, 2006
    Date of Patent: June 23, 2009
    Assignee: Yahoo! Inc.
    Inventors: Pradhuman Jhala, Benjamin Rey
  • Publication number: 20080270333
    Abstract: Systems and methods for determining semantically related terms using an active learning framework such as Transductive Experimental Design are disclosed. Generally, to enhance a keyword suggestion tool, an active learning module trains a model to predict whether a term is relevant to a user. The model is then used to present the user with terms that have been determined to be relevant based on the model so that an online advertisement service provider may more efficiently provide a user with terms that are semantically related to a seed set.
    Type: Application
    Filed: April 30, 2007
    Publication date: October 30, 2008
    Applicant: Yahoo! Inc.
    Inventors: Pradhuman Jhala, Xiaofei He
  • Publication number: 20080071740
    Abstract: A system is described for discovering associative intent queries based on search web logs. The system may mine one or more user sessions comprising data from search engine query logs and generate query pairs based on the data. The system may use statistics and morphology to identify relationships among the query pairs. From these relationships, the system may distinguish the associative intent query pairs from the similar and unrelated intent query pairs.
    Type: Application
    Filed: September 18, 2006
    Publication date: March 20, 2008
    Inventors: Pradhuman Jhala, Benjamin Rey