Patents by Inventor Vinith Misra

Vinith Misra 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: 10762144
    Abstract: A mechanism is provided for search engine domain transfer. The mechanism receives an input query to search a specialized domain from a user and performs a general-domain search based on the input query to generate a set of general-domain results. The mechanism generates a feature vector based on the general-domain results and generates a score for each document within the specialized domain based on the feature vector. The mechanism generates a ranked result set of documents based on the scores of the documents in the specialized domain and presents the ranked result set to the user.
    Type: Grant
    Filed: September 9, 2015
    Date of Patent: September 1, 2020
    Assignee: International Business Machines Corporation
    Inventors: Tin K. Ho, Luis A. Lastras-Montano, Vinith Misra
  • Patent number: 10754897
    Abstract: A mechanism is provided for search engine domain transfer. The mechanism receives an input query to search a specialized domain from a user and performs a general-domain search based on the input query to generate a set of general-domain results. The mechanism generates a feature vector based on the general-domain results and generates a score for each document within the specialized domain based on the feature vector. The mechanism generates a ranked result set of documents based on the scores of the documents in the specialized domain and presents the ranked result set to the user.
    Type: Grant
    Filed: September 24, 2015
    Date of Patent: August 25, 2020
    Assignee: International Business Machines Corporation
    Inventors: Tin K. Ho, Luis A. Lastras-Montano, Vinith Misra
  • Patent number: 10664757
    Abstract: Mechanisms are provided for performing a cognitive operation. The mechanisms receive an original graph data structure comprising nodes and edges between nodes and activity log information for nodes of the original graph data structure. The mechanisms identify a set of nodes in the original graph data structure having a predetermined pattern of activity in the activity log information, and a set of edges between these nodes. The mechanisms calculate an importance weight for each edge in the set of edges and modify the original graph data structure based on the calculated importance weights for the edges in the set of edges, to thereby generate a modified graph data structure. The mechanisms then perform a cognitive operation based on the modified graph data structure. The set of edges may comprise actual edges between the nodes and/or potential edges between the nodes.
    Type: Grant
    Filed: September 16, 2015
    Date of Patent: May 26, 2020
    Assignee: International Business Machines Corporation
    Inventors: Luis A. Lastras-Montano, Vinith Misra, Livio B. Soares
  • Patent number: 10546247
    Abstract: An approach is provided in which an information handling system trains multiple classifiers using a set of training samples. The information handling system selects a leader classifier from the multiple classifiers that generates the most amount of correct decisions corresponding to the set of training samples. Next, the information handling system identifies an endorser classifier from the multiple classifiers that generates the highest proportion of correct decisions among the endorser classifier's decisions matching the leader classifier's decisions, and combines the leader classifier and the endorser classifier into a combined classifier stage. In turn, the information handling system utilizes the combined classifier stage to process inquiries and generate results.
    Type: Grant
    Filed: December 1, 2015
    Date of Patent: January 28, 2020
    Assignee: International Business Machines Corporation
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Vinith Misra
  • Publication number: 20180341719
    Abstract: An approach is provided in which a system transforms a set of embedding approximation values corresponding to a set of knowledge graph nodes into a set of binary valued embedding vectors. The system evaluates the set of binary valued embedding vectors against a query and a selects one of the binary valued embedding vectors based on the evaluation. The system then identifies one of the knowledge graph nodes that corresponds to the selected binary valued embedding vector and in turn, provides a result to the query based on the identified knowledge graph node.
    Type: Application
    Filed: May 24, 2017
    Publication date: November 29, 2018
    Inventors: Sumit Bhatia, Vinith Misra
  • Publication number: 20180341720
    Abstract: An approach is provided in which a system transforms a set of embedding approximation values corresponding to a set of knowledge graph nodes into a set of binary valued embedding vectors. The system evaluates the set of binary valued embedding vectors against a query and a selects one of the binary valued embedding vectors based on the evaluation. The system then identifies one of the knowledge graph nodes that corresponds to the selected binary valued embedding vector and in turn, provides a result to the query based on the identified knowledge graph node.
    Type: Application
    Filed: October 25, 2017
    Publication date: November 29, 2018
    Inventors: Sumit Bhatia, Vinith Misra
  • Publication number: 20170154281
    Abstract: An approach is provided in which an information handling system trains multiple classifiers using a set of training samples. The information handling system selects a leader classifier from the multiple classifiers that generates the most amount of correct decisions corresponding to the set of training samples. Next, the information handling system identifies an endorser classifier from the multiple classifiers that generates the highest proportion of correct decisions among the endorser classifier's decisions matching the leader classifier's decisions, and combines the leader classifier and the endorser classifier into a combined classifier stage. In turn, the information handling system utilizes the combined classifier stage to process inquiries and generate results.
    Type: Application
    Filed: December 1, 2015
    Publication date: June 1, 2017
    Inventors: Tin Kam Ho, Luis A. Lastras-Montano, Vinith Misra
  • Publication number: 20170076206
    Abstract: Mechanisms are provided for performing a cognitive operation. The mechanisms receive an original graph data structure comprising nodes and edges between nodes and activity log information for nodes of the original graph data structure. The mechanisms identify a set of nodes in the original graph data structure having a predetermined pattern of activity in the activity log information, and a set of edges between these nodes. The mechanisms calculate an importance weight for each edge in the set of edges and modify the original graph data structure based on the calculated importance weights for the edges in the set of edges, to thereby generate a modified graph data structure. The mechanisms then perform a cognitive operation based on the modified graph data structure. The set of edges may comprise actual edges between the nodes and/or potential edges between the nodes.
    Type: Application
    Filed: September 16, 2015
    Publication date: March 16, 2017
    Inventors: Luis A. Lastras-Montano, Vinith Misra, Livio B. Soares
  • Publication number: 20170068734
    Abstract: A mechanism is provided for search engine domain transfer. The mechanism receives an input query to search a specialized domain from a user and performs a general-domain search based on the input query to generate a set of general-domain results. The mechanism generates a feature vector based on the general-domain results and generates a score for each document within the specialized domain based on the feature vector. The mechanism generates a ranked result set of documents based on the scores of the documents in the specialized domain and presents the ranked result set to the user.
    Type: Application
    Filed: September 9, 2015
    Publication date: March 9, 2017
    Inventors: Tin K. Ho, Luis A. Lastras-Montano, Vinith Misra
  • Publication number: 20170068737
    Abstract: A mechanism is provided for search engine domain transfer. The mechanism receives an input query to search a specialized domain from a user and performs a general-domain search based on the input query to generate a set of general-domain results. The mechanism generates a feature vector based on the general-domain results and generates a score for each document within the specialized domain based on the feature vector. The mechanism generates a ranked result set of documents based on the scores of the documents in the specialized domain and presents the ranked result set to the user.
    Type: Application
    Filed: September 24, 2015
    Publication date: March 9, 2017
    Inventors: Tin K. Ho, Luis A. Lastras-Montano, Vinith Misra