Patents by Inventor Suhas SATISH

Suhas SATISH 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).

  • Method and system for service agent assistance of article recommendations to a customer in an app session
    Patent number: 11580179
    Abstract: A method and system for recommending articles including: receiving a customer request from the customer during the session; generating case data for a case, by an article recommender app; configuring a training set based on the subject and description data of the customer request; identifying, by an artificial intelligence (AI) app, a first pool of articles from a knowledge database; identifying by at least one query, a second pool of articles from a case article database to into a merged pool of articles; assigning, by the AI app, an implicit label to one of the first pool and the second pool of the articles; applying a model derived by the AI app based on customer behavior and a set of features related to the case to classify each article of the merged pool of articles based at least in part on the predicted relevance of the article.
    Type: Grant
    Filed: September 24, 2018
    Date of Patent: February 14, 2023
    Assignee: salesforce.com, inc.
    Inventors: Pingping Xiu, Sitaram Asur, Anjan Goswami, Ziwei Chen, Na Cheng, Suhas Satish, Jacob Nathaniel Huffman, Peter Francis White, WeiPing Peng, Aditya Sakhuja, Jayesh Govindarajan, Edgar Gerardo Velasco
  • METHOD AND SYSTEM FOR SERVICE AGENT ASSISTANCE OF ARTICLE RECOMMENDATIONS TO A CUSTOMER IN AN APP SESSION
    Publication number: 20200097608
    Abstract: A method and system for recommending articles including: receiving a customer request from the customer during the session; generating case data for a case, by an article recommender app; configuring a training set based on the subject and description data of the customer request; identifying, by an artificial intelligence (AI) app, a first pool of articles from a knowledge database; identifying by at least one query, a second pool of articles from a case article database to into a merged pool of articles; assigning, by the AI app, an implicit label to one of the first pool and the second pool of the articles; applying a model derived by the AI app based on customer behavior and a set of features related to the case to classify each article of the merged pool of articles based at least in part on the predicted relevance of the article.
    Type: Application
    Filed: September 24, 2018
    Publication date: March 26, 2020
    Inventors: Pingping XIU, Sitaram ASUR, Anjan GOSWAMI, Ziwei CHEN, Na CHENG, Suhas SATISH, Jacob Nathaniel HUFFMAN, Peter Francis WHITE, WeiPing PENG, Aditya SAKHUJA, Jayesh GOVINDARAJAN, Edgar Gerardo VELASCO