Patents by Inventor Rajdeep Mondal

Rajdeep Mondal 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).

  • RANKING AND PRESENTING SEARCH ENGINE RESULTS BASED ON CATEGORY-SPECIFIC RANKING MODELS
    Publication number: 20230334054
    Abstract: Methods of operating a search engine may include calculating multi-modal document vector models for each of a plurality of electronic documents, training category-specific, search query-specific ranking models with respective machine learning algorithms based on those document vector models, and applying each of those models to further instances of the same search query to rank the documents responsive to that search query.
    Type: Application
    Filed: March 17, 2023
    Publication date: October 19, 2023
    Inventors: Rongkai Zhao, Rajdeep Mondal, Ravi Sambhu, Naveen Krishna
  • Ranking and presenting search engine results based on category-specific ranking models
    Patent number: 11609920
    Abstract: Methods of operating a search engine may include calculating multi-modal document vector models for each of a plurality of electronic documents, training category-specific, search query-specific ranking models with respective machine learning algorithms based on those document vector models, and applying each of those models to further instances of the same search query to rank the documents responsive to that search query.
    Type: Grant
    Filed: January 14, 2021
    Date of Patent: March 21, 2023
    Assignee: Home Depot Product Authority, LLC
    Inventors: Rongkai Zhao, Rajdeep Mondal, Ravi Sambhu, Naveen Krishna
  • RANKING AND PRESENTING SEARCH ENGINE RESULTS BASED ON CATEGORY-SPECIFIC RANKING MODELS
    Publication number: 20210133200
    Abstract: Methods of operating a search engine may include calculating multi-modal document vector models for each of a plurality of electronic documents, training category-specific, search query-specific ranking models with respective machine learning algorithms based on those document vector models, and applying each of those models to further instances of the same search query to rank the documents responsive to that search query.
    Type: Application
    Filed: January 14, 2021
    Publication date: May 6, 2021
    Inventors: Rongkai Zhao, Rajdeep Mondal, Ravi Sambhu, Naveen Krishna
  • Ranking and presenting search engine results based on category-specific ranking models
    Patent number: 10915538
    Abstract: Methods of operating a search engine may include calculating multi-modal document vector models for each of a plurality of electronic documents, training category-specific, search query-specific ranking models with respective machine learning algorithms based on those document vector models, and applying each of those models to further instances of the same search query to rank the documents responsive to that search query.
    Type: Grant
    Filed: March 23, 2018
    Date of Patent: February 9, 2021
    Assignee: Home Depot Product Authority, LLC
    Inventors: Rongkai Zhao, Rajdeep Mondal, Ravi Sambhu, Naveen Krishna
  • RANKING AND PRESENTING SEARCH ENGINE RESULTS BASED ON CATEGORY-SPECIFIC RANKING MODELS
    Publication number: 20190294692
    Abstract: Methods of operating a search engine may include calculating multi-modal document vector models for each of a plurality of electronic documents, training category-specific, search query-specific ranking models with respective machine learning algorithms based on those document vector models, and applying each of those models to further instances of the same search query to rank the documents responsive to that search query.
    Type: Application
    Filed: March 23, 2018
    Publication date: September 26, 2019
    Inventors: Rongkai Zhao, Rajdeep Mondal, Ravi Sambhu, Naveen Krishna