Patents by Inventor Debasis GANGULY

Debasis GANGULY 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: 11328019
    Abstract: An information retrieval response may be augmented, based upon a query, with a plurality of selected causality data relating to the query. The information retrieval response may be generated from an information retrieval system.
    Type: Grant
    Filed: April 3, 2020
    Date of Patent: May 10, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Francesca Bonin, Debasis Ganguly, Charles Arthur Jochim, Pierpaolo Tommasi
  • Publication number: 20220084045
    Abstract: A method for automatically detecting inappropriate content on a computing application is provided. The method may include, in response to detecting an attempt to post content on the computing application, parsing the content to identify parts of the content. The method may further include determining whether the parts of the content comprises inappropriate content by applying algorithms to the parts of the content based on information associated with one or more computing applications and by predicting whether potential viewers of the one or more parts of the content view the one or more parts as inappropriate. The method may further include, in response to determining that the one or more parts of the content includes inappropriate content based on the applied algorithms and the potential viewers, generating and displaying feedback and providing suggestions for editing the inappropriate content on the attempted post.
    Type: Application
    Filed: September 11, 2020
    Publication date: March 17, 2022
    Inventors: Debasis Ganguly, Martin Gleize, Pierpaolo Tommasi, Francesca Bonin, Yufang Hou
  • Publication number: 20220043859
    Abstract: Methods, computer program products and/or systems are provided that perform the following operations: obtaining a collection of objects; constructing a weighted graph based on the collection of objections, wherein the weighted graph preserves neighborhood semantics of objects of the collection of objects; generating partitions of nodes in the weighted graph of a fixed maximum size utilizing combinatorial partitioning; generating a vector for each node based on the partitions of nodes in the weighted graph; determining vector representations for objects in this collection and eventually applying this vector representation of the objects to gain efficiency (e.g., in terms of computation time and memory requirements) for use in downstream tasks such as recommendation.
    Type: Application
    Filed: August 7, 2020
    Publication date: February 10, 2022
    Inventors: Debasis Ganguly, Martin Gleize, Ambrish Rawat, Yufang Hou
  • Publication number: 20210374558
    Abstract: Various embodiments are provided for providing intelligent library management in a computing environment by a processor. Application compatibility may be learned from a plurality of projects, repositories, application libraries, data sources, or a combination thereof. A list of recommended application libraries, ordered according to the application compatibility, may be automatically provided for implementation, integration, or replacements of one or more sections of an application library.
    Type: Application
    Filed: June 2, 2020
    Publication date: December 2, 2021
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pierpaolo TOMMASI, Debasis GANGULY, Stephane DEPARIS, Alessandra PASCALE
  • Publication number: 20210357433
    Abstract: A data structure is used to configure and transform a computer machine learning system. The data structure has one or more records where each record is a (vector) representation of a selected object in a corpus. One or more non-zero parameters in the records define the selected object and the number of the non-zero parameters define a word length of the record. One or more zero-value parameters are in one or more of the records, The word length of the object representation varies, e.g. can increase, as necessary to accurately represent the object within one or more contexts provided during training of a neural network used to create the database, e.g. as more and more contexts are introduced during the training. A minimum number of non-zero parameters are needed and zero-value parameters can be clustered together and compressed to save large amounts of system storage and shorten execution times.
    Type: Application
    Filed: May 18, 2020
    Publication date: November 18, 2021
    Inventors: Debasis Ganguly, Léa Deleris
  • Publication number: 20210311996
    Abstract: Various embodiments are provided for providing causality augmented information in a computing environment by a processor. An information retrieval response may be augmented, based upon a query, with a plurality of selected causality data relating to the query. The information retrieval response may be generated from an information retrieval system.
    Type: Application
    Filed: April 3, 2020
    Publication date: October 7, 2021
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Francesca BONIN, Debasis GANGULY, Charles Arthur JOCHIM, Pierpaolo TOMMASI
  • Publication number: 20210073335
    Abstract: Embodiments for semantic analysis of table content are provided. A document that includes a table portion and a non-table portion is received. A table result within the table portion of the document is identified. Contextual content associated with the table result is extracted from the non-table portion of the document. A data structure is generated for the table result. The data structure includes the table result and the contextual content associated with the table result.
    Type: Application
    Filed: September 9, 2019
    Publication date: March 11, 2021
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Yufang HOU, Charles JOCHIM, Martin GLEIZE, Debasis GANGULY
  • Publication number: 20210026877
    Abstract: Various embodiments are provided for implementing an approximation nearest neighbour (ANN) search in a computing environment are provided. An approximation nearest neighbour (ANN) of a plurality of feature vectors in hyper-planes with dynamically variable subspaces by searching an inverted index may be retrieved.
    Type: Application
    Filed: July 22, 2019
    Publication date: January 28, 2021
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Debasis GANGULY, Léa DELERIS
  • Publication number: 20210019556
    Abstract: This method is a process that improves the execution time and maintains very precise clustering effectiveness utilizing a unique algorithm (identified as PPK means) that optimizes a process that is referred to as K-means clustering. The PPK means algorithm utilizes estimation values of signatures of new centroids for speed improvement and encoded data to provide a level of privacy protection. A system comprises a processor, operably coupled to memory, and that executes the computer-executable components, wherein the computer-executable components comprise: an encoding component that encodes a set of real-time valued vectors as bit vectors; and a clustering component that performs K-means clustering on the bit encoded vectors.
    Type: Application
    Filed: July 18, 2019
    Publication date: January 21, 2021
    Inventor: Debasis Ganguly
  • Patent number: 10832009
    Abstract: Embodiments for extraction and summarization of decision discussions of a communication by a processor. The decision elements may be grouped together according to similar characteristics. The decision elements may be linked, and sentiments of the discussion participants towards each of the decision elements may be analyzed. A summary of the plurality of the decision elements may be provided via an interactive graphical user interface (GUI) on one or more Internet of Things (IoT) devices. The summary of the decision elements may be linked to domain knowledge. The summary may be enhanced using a domain knowledge.
    Type: Grant
    Filed: January 2, 2018
    Date of Patent: November 10, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Francesca Bonin, Lea Deleris, Debasis Ganguly, Killian Levacher, Martin Stephenson
  • Publication number: 20200302331
    Abstract: Embodiments for intelligent problem solving using visual input by a processor. An interactive dialog may be initiated using the one or more IoT computing devices for receiving one or more instructions, objectives, and the contextual information to define a selected task. Visual data and contextual information associated with the visual data may be collected from one or more Internet of Things (“IoT”) computing devices. One or more solutions may be for a selected task using the visual data and contextual data.
    Type: Application
    Filed: March 20, 2019
    Publication date: September 24, 2020
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Vincent LONIJ, Debasis GANGULY, Beat BUESSER, Ambrish RAWAT
  • Publication number: 20190205395
    Abstract: Embodiments for extraction and summarization of decision discussions of a communication by a processor. The decision elements may be grouped together according to similar characteristics. The decision elements may be linked, and sentiments of the discussion participants towards each of the decision elements may be analyzed. A summary of the plurality of the decision elements may be provided via an interactive graphical user interface (GUI) on one or more Internet of Things (IoT) devices. The summary of the decision elements may be linked to domain knowledge. The summary may be enhanced using a domain knowledge.
    Type: Application
    Filed: January 2, 2018
    Publication date: July 4, 2019
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Francesca BONIN, Lea DELERIS, Debasis GANGULY, Killian LEVACHER, Martin STEPHENSON