Patents by Inventor Kedar BELLARE

Kedar BELLARE 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: 10713716
    Abstract: Systems and methods are provided for generating a search query based on received user data to perform an internet search using the search query. The systems and methods further extract data from internet search results from the internet search using the search query, generate internet search income records from the extracted data, generate income records from one or more databases comprising income records, and combine the internet search income records and the generated income records from the one or more databases to form combined income record results. The systems and methods further identify candidate income records from the combined income record results, extract features from each candidate income record for generating an income prediction, and generate the income prediction using a machine learning model to predict an income, based on the extracted features from the candidate income records.
    Type: Grant
    Filed: July 24, 2018
    Date of Patent: July 14, 2020
    Assignee: Airbnb, Inc.
    Inventors: Chirag Mahapatra, Kedar Bellare
  • Patent number: 10509832
    Abstract: In one embodiment, a method includes accessing posts of an online social network, each post being associated with a first entity of the online social network, classifying, based on content and metadata associated with each post, one or more of the posts as being relevant to the first entity, extracting a set of one or more n-grams from the content of the posts classified as being relevant to the first entity, filtering the set of n-grams to remove one or more of the extracted n-grams from the set of n-grams, calculating a quality score for each n-gram in the filtered set of n-grams, generating a snippet-module including one or more of the extracted n-grams from the filtered set of n-grams having quality-scores greater than a threshold quality-score, and sending, to a client system of a first user of the online social network, the snippet-module for display to the user.
    Type: Grant
    Filed: July 13, 2015
    Date of Patent: December 17, 2019
    Assignee: Facebook, Inc.
    Inventors: Christina Joan Sauper, Quang Xuan Do, Ling Bao, Bosmat Mazal Eldar, Kedar Bellare
  • Publication number: 20190043127
    Abstract: Systems and methods are provided for generating a search query based on received user data to perform an internet search using the search query. The systems and methods further extract data from internet search results from the internet search using the search query, generate internet search income records from the extracted data, generate income records from one or more databases comprising income records, and combine the internet search income records and the generated income records from the one or more databases to form combined income record results. The systems and methods further identify candidate income records from the combined income record results, extract features from each candidate income record for generating an income prediction, and generate the income prediction using a machine learning model to predict an income, based on the extracted features from the candidate income records.
    Type: Application
    Filed: July 24, 2018
    Publication date: February 7, 2019
    Inventors: Chirag Mahapatra, Kedar Bellare
  • Publication number: 20170017721
    Abstract: In one embodiment, a method includes accessing posts of an online social network, each post being associated with a first entity of the online social network, classifying, based on content and metadata associated with each post, one or more of the posts as being relevant to the first entity, extracting a set of one or more n-grams from the content of the posts classified as being relevant to the first entity, filtering the set of n-grams to remove one or more of the extracted n-grams from the set of n-grams, calculating a quality score for each n-gram in the filtered set of n-grams, generating a snippet-module including one or more of the extracted n-grams from the filtered set of n-grams having quality-scores greater than a threshold quality-score, and sending, to a client system of a first user of the online social network, the snippet-module for display to the user.
    Type: Application
    Filed: July 13, 2015
    Publication date: January 19, 2017
    Inventors: Christina Joan Sauper, Quang Xuan Do, Ling Bao, Bosmat Mazal Eldar, Kedar Bellare
  • Patent number: 8849790
    Abstract: A classifier development process seamlessly and intelligently integrates different forms of human feedback on instances and features into the data preparation, learning and evaluation stages. A query utility based active learning approach is applicable to different types of editorial feedback. A bi-clustering based technique may be used to further speed up the active learning process.
    Type: Grant
    Filed: December 24, 2008
    Date of Patent: September 30, 2014
    Assignee: Yahoo! Inc.
    Inventors: Kedar Bellare, Srujana Merugu, Sathiya Keerthi Selvaraj
  • Publication number: 20100161652
    Abstract: A classifier development process seamlessly and intelligently integrates different forms of human feedback on instances and features into the data preparation, learning and evaluation stages. A query utility based active learning approach is applicable to different types of editorial feedback. A bi-clustering based technique may be used to further speed up the active learning process.
    Type: Application
    Filed: December 24, 2008
    Publication date: June 24, 2010
    Applicant: YAHOO! INC.
    Inventors: Kedar BELLARE, Srujana MERUGU, Sathiya Keerthi SELVARAJ