Patents by Inventor Archit Shrivastava

Archit Shrivastava 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).

  • Quality-based scoring and inhibiting of user-generated content
    Patent number: 11455553
    Abstract: Methods and devices for assessing the quality of user-generated content are described. In one embodiment, a method is disclosed for measuring the quality of a user-generated answer to a question by combining various factors, including question-answer surface word vector similarity, question-answer explicit semantic analysis vector similarity, answer-answer explicit sematic analysis vector similarity, query performance predictor, sentiment analysis, textual analysis of the answer, and reputation of the answerer. The method uses a learning procedure to determine the best algorithm for measuring the overall quality of the answer based on these factors.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: September 27, 2022
    Assignee: YAHOO ASSETS LLC
    Inventors: Dan Pelleg, Oleg Rokhlenko, Idan Szpektor, Yuval David Pinter, David Carmel, Shirin Oskooi, Somesh Jain, Archit Shrivastava
  • QUALITY-BASED SCORING AND INHIBITING OF USER-GENERATED CONTENT
    Publication number: 20200090062
    Abstract: Methods and devices for assessing the quality of user-generated content are described. In one embodiment, a method is disclosed for measuring the quality of a user-generated answer to a question by combining various factors, including question-answer surface word vector similarity, question-answer explicit semantic analysis vector similarity, answer-answer explicit sematic analysis vector similarity, query performance predictor, sentiment analysis, textual analysis of the answer, and reputation of the answerer. The method uses a learning procedure to determine the best algorithm for measuring the overall quality of the answer based on these factors.
    Type: Application
    Filed: November 25, 2019
    Publication date: March 19, 2020
    Inventors: Dan Pelleg, Oleg Rokhlenko, Idan Szpektor, Yuval David Pinter, David Carmel, Shirin Oskooi, Somesh Jain, Archit Shrivastava
  • Quality-based scoring and inhibiting of user-generated content
    Patent number: 10489712
    Abstract: Methods and devices for assessing the quality of user-generated content are described. In one embodiment, a method is disclosed for measuring the quality of a user-generated answer to a question by combining various factors, including question-answer surface word vector similarity, question-answer explicit semantic analysis vector similarity, answer-answer explicit sematic analysis vector similarity, query performance predictor, sentiment analysis, textual analysis of the answer, and reputation of the answerer. The method uses a learning procedure to determine the best algorithm for measuring the overall quality of the answer based on these factors.
    Type: Grant
    Filed: February 26, 2016
    Date of Patent: November 26, 2019
    Assignee: Oath Inc.
    Inventors: Dan Pelleg, Oleg Rokhlenko, Idan Szpektor, Yuval David Pinter, David Carmel, Somesh Jain, Archit Shrivastava, Shirin Oskooi
  • QUALITY-BASED SCORING AND INHIBITING OF USER-GENERATED CONTENT
    Publication number: 20170249311
    Abstract: Methods and devices for assessing the quality of user-generated content are described. In one embodiment, a method is disclosed for measuring the quality of a user-generated answer to a question by combining various factors, including question-answer surface word vector similarity, question-answer explicit semantic analysis vector similarity, answer-answer explicit sematic analysis vector similarity, query performance predictor, sentiment analysis, textual analysis of the answer, and reputation of the answerer. The method uses a learning procedure to determine the best algorithm for measuring the overall quality of the answer based on these factors.
    Type: Application
    Filed: February 26, 2016
    Publication date: August 31, 2017
    Applicant: Yahoo! Inc.
    Inventors: Dan Pelleg, Oleg Rokhlenko, Idan Szpektor, Yuval David Pinter, David Carmel, Shirin Oskooi, Somesh Jain, Archit Shrivastava