Patents by Inventor Gaurav Dosi

Gaurav Dosi 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: 10909123
    Abstract: Systems, methods, and non-transitory computer-readable media can select a set of selected pages from a plurality of pages on a social networking system based on page selection criteria. A set of potential stories from the set of selected pages is aggregated. The set of potential stories are ranked based on ranking criteria. An administrator feed associated with a first page is generated, the administrator feed comprising a plurality of stories from the set of potential stories based on the ranking the set of potential stories.
    Type: Grant
    Filed: November 23, 2016
    Date of Patent: February 2, 2021
    Assignee: Facebook, Inc.
    Inventors: Neal Suresh Vora, James Donovan, Deepak Chinavle, Gaurav Dosi, Jason Eric Brewer, Bradley Ray Green
  • Patent number: 10529034
    Abstract: Systems, methods, and non-transitory computer-readable media can determine a request to create an identifier for a page that is accessible through a social networking system. Page data that describes the page is determined. One or more identifiers for the page are generated based at least in part on the page data.
    Type: Grant
    Filed: November 18, 2016
    Date of Patent: January 7, 2020
    Assignee: Facebook, Inc.
    Inventors: Gaurav Dosi, Matthew Eric Lanter, Gina Marie Rodriguez, Andrea Bich Lan Nguyen
  • Publication number: 20190095868
    Abstract: Exemplary embodiments relate to techniques for identifying job listing posts in a platform, such as a social networking or messaging service. Job listing posts can be identified as they are created, causing the user to enter a job posting interface for entering structured data. The structured data may be searchable on the platform. Job posts can also be identified post hoc, and subsequently converted to structured job listing posts. Structured information may be drawn from the freeform text, and the system may normalize the job description (e.g., using third-party information, such as standard job descriptors). Identifying a job listing post/intent may be done using a model trained using various parameters, such as: user feedback/administrator actions; corrections; content of the post; existing posts of page owner; the time of year; whether other employers in similar fields are post job openings; and whether this owner prefers to write structured or unstructured posts.
    Type: Application
    Filed: September 28, 2017
    Publication date: March 28, 2019
    Inventors: Ying Zhang, Wenzhe Jiang, Lei Sun, Zain Rehmani, Cheng Yang, Gaurav Dosi
  • Publication number: 20190095869
    Abstract: Exemplary embodiments relate to techniques for identifying job seekers in a platform, such as a social networking or messaging service, and presenting the job seekers with job postings that they are most likely to be interested in. The job seeker's intent may be determined based on various factors. The system may rank job postings by the probability that a user will be interested in a particular job, and can surface jobs to the user in a number of ways. Applicable jobs can be surfaced in an interactable list.
    Type: Application
    Filed: September 28, 2017
    Publication date: March 28, 2019
    Inventors: Ying Zhang, Wenzhe Jiang, Lei Sun, Zain Rehmani, Cheng Yang, Gaurav Dosi
  • Publication number: 20180146063
    Abstract: Systems, methods, and non-transitory computer-readable media can determine a request to create an identifier for a page that is accessible through a social networking system. Page data that describes the page is determined. One or more identifiers for the page are generated based at least in part on the page data.
    Type: Application
    Filed: November 18, 2016
    Publication date: May 24, 2018
    Inventors: Gaurav Dosi, Matthew Eric Lanter, Gina Marie Rodriguez, Andrea Bich Lan Nguyen
  • Publication number: 20180143981
    Abstract: Systems, methods, and non-transitory computer-readable media can select a set of selected pages from a plurality of pages on a social networking system based on page selection criteria. A set of potential stories from the set of selected pages is aggregated. The set of potential stories are ranked based on ranking criteria. An administrator feed associated with a first page is generated, the administrator feed comprising a plurality of stories from the set of potential stories based on the ranking the set of potential stories.
    Type: Application
    Filed: November 23, 2016
    Publication date: May 24, 2018
    Inventors: Neal Suresh Vora, James Donovan, Deepak Chinavle, Gaurav Dosi, Jason Eric Brewer, Bradley Ray Green