Patents by Inventor Kavita Ganesan

Kavita Ganesan 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: 10679738
    Abstract: This disclosure describes systems, devices, and techniques for identifying sections of medical documents that are suitable for automated medical coding. In one example, a computer-implemented method includes receiving, by one or more processors, the medical document, wherein the medical document comprises a plurality of sections. The method also may include determining, by the one or more processors and via application of a classification model to each section of the plurality of sections, codability indicia for each section of the plurality of sections, wherein the codability indicia represents whether the respective section is suitable for automated medical coding. The method may include outputting, by the one or more processors, the respective codability indicia for each section of the plurality of sections.
    Type: Grant
    Filed: October 20, 2015
    Date of Patent: June 9, 2020
    Assignee: 3M Innovative Properties Company
    Inventors: Kavita A. Ganesan, Brian J. Stankiewicz, David E. Yarowsky, Anna N. Rafferty, Michael A. Nossal, Anthony R. Davis
  • Publication number: 20190057421
    Abstract: In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.
    Type: Application
    Filed: October 22, 2018
    Publication date: February 21, 2019
    Applicant: eBay Inc.
    Inventors: Neelakantan Sundaresan, Kavita Ganesan, Harshal Ulhas Deo
  • Patent number: 10127583
    Abstract: In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.
    Type: Grant
    Filed: January 30, 2015
    Date of Patent: November 13, 2018
    Assignee: eBay Inc.
    Inventors: Neelakantan Sundaresan, Kavita Ganesan, Harshal Ulhas Deo
  • Publication number: 20180288177
    Abstract: Embodiments of computer-implemented methods and systems for activity-based recommendations are described. One example embodiment includes receiving historical activities of a plurality of users, the historical activities comprising actions associated with the items in the database, the plurality of users including the target user. A group of users is identified from the plurality of users based on historical activities of the group of users and historical activities of the target user. Generally current time activities of the group of users are received, the generally current time activities comprising activities that have occurred within a defined time window. A recommendation for one or more items is generated based on the generally current time activities, and the recommendation is provided for display to the target user.
    Type: Application
    Filed: June 7, 2018
    Publication date: October 4, 2018
    Inventors: Harshal Ulhas Deo, Kavita Ganesan, Monica Dhanaraj
  • Patent number: 10021200
    Abstract: Embodiments of computer-implemented methods and systems for activity-based recommendations are described. One example embodiment includes receiving data indicating historical activities of a user community, the historical activities including historical activities of the target user, selecting a reference group of users from the user community based on analysis of the historical activities of the target user, receiving generally current time activities of the reference group of users, the generally current time activities including those activities that have occurred within a defined time window, and recommending items to the target user based on the generally current time activities of the reference group of users.
    Type: Grant
    Filed: June 9, 2015
    Date of Patent: July 10, 2018
    Assignee: eBay Inc.
    Inventors: Harshal Ulhas Deo, Kavita Ganesan, Monica Dhanaraj
  • Publication number: 20170300635
    Abstract: This disclosure describes systems, devices, and techniques for identifying sections of medical documents that are suitable for automated medical coding. In one example, a computer-implemented method includes receiving, by one or more processors, the medical document, wherein the medical document comprises a plurality of sections. The method also may include determining, by the one or more processors and via application of a classification model to each section of the plurality of sections, codability indicia for each section of the plurality of sections, wherein the codability indicia represents whether the respective section is suitable for automated medical coding. The method may include outputting, by the one or more processors, the respective codability indicia for each section of the plurality of sections.
    Type: Application
    Filed: October 20, 2015
    Publication date: October 19, 2017
    Inventors: Kavita A. Ganesan, Brian J. Stankiewicz, David E. Yarowsky, Anna N. Rafferty, Michael A. Nossal, Anthony R. Davis
  • Publication number: 20150271282
    Abstract: Embodiments of computer-implemented methods and systems for activity-based recommendations are described. One example embodiment includes receiving data indicating historical activities of a user community, the historical activities including historical activities of the target user, selecting a reference group of users from the user community based on analysis of the historical activities of the target user, receiving generally current time activities of the reference group of users, the generally current time activities including those activities that have occurred within a defined time window, and recommending items to the target user based on the generally current time activities of the reference group of users.
    Type: Application
    Filed: June 9, 2015
    Publication date: September 24, 2015
    Inventors: Harshal Ulhas Deo, Kavita Ganesan, Monica Dhanaraj
  • Patent number: 9082123
    Abstract: Embodiments of computer-implemented methods and systems for activity-based recommendations are described. One example embodiment includes receiving data indicating historical activities of a user community, the historical activities including historical activities of the target user, selecting a reference group of users from the user community based on analysis of the historical activities of the target user, receiving generally current time activities of the reference group of users, the generally current time activities including those activities that have occurred within a defined time window, and recommending items to the target user based on the generally current time activities of the reference group of users.
    Type: Grant
    Filed: November 21, 2011
    Date of Patent: July 14, 2015
    Assignee: eBay Inc.
    Inventors: Harshal Ulhas Deo, Kavita Ganesan, Monica Dhanarj
  • Publication number: 20150149385
    Abstract: In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.
    Type: Application
    Filed: January 30, 2015
    Publication date: May 28, 2015
    Inventors: Neelakantan Sundaresan, Kavita Ganesan, Harshal Ulhas Deo
  • Patent number: 8977631
    Abstract: In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.
    Type: Grant
    Filed: August 7, 2007
    Date of Patent: March 10, 2015
    Assignee: eBay Inc.
    Inventors: Neelakantan Sundaresan, Kavita Ganesan, Harshal Ulhas Deo
  • Publication number: 20140040269
    Abstract: In one example embodiment, a method is illustrated as including retrieving item data. At least one base cluster having at least one document with common item data stored in a suffix ordering is constructed. The at least one base cluster is compacted to create a compacted cluster representation having a reduced duplicate suffix ordering amongst the clusters.
    Type: Application
    Filed: October 22, 2013
    Publication date: February 6, 2014
    Applicant: eBay Inc.
    Inventors: Neelakantan Sundaresan, Kavita Ganesan, Roopnath Grandhi
  • Patent number: 8589398
    Abstract: In one example embodiment, a method is illustrated as including retrieving item data from a plurality of listings, the item data filtered from noise data, constructing at least one base cluster having at least one document with common item data stored in a suffix ordering, compacting the at least one base cluster to create a compacted cluster representation having a reduced duplicate suffix ordering amongst the clusters, and merging the compacted cluster representation to generate a merged cluster, the merging based upon a first overlap value applied to the at least one document with common item data.
    Type: Grant
    Filed: February 3, 2012
    Date of Patent: November 19, 2013
    Assignee: eBay Inc.
    Inventors: Neelakantan Sundaresan, Kavita Ganesan, Roopnath Grandhi
  • Publication number: 20120185446
    Abstract: In one example embodiment, a method is illustrated as including retrieving item data from a plurality of listings, the item data filtered from noise data, constructing at least one base cluster having at least one document with common item data stored in a suffix ordering, compacting the at least one base cluster to create a compacted cluster representation having a reduced duplicate suffix ordering amongst the clusters, and merging the compacted cluster representation to generate a merged cluster, the merging based upon a first overlap value applied to the at least one document with common item data.
    Type: Application
    Filed: February 3, 2012
    Publication date: July 19, 2012
    Inventors: Neelakantan Sundaresan, Kavita Ganesan, Roopnath Grandhi
  • Publication number: 20120066028
    Abstract: Embodiments of computer-implemented methods and systems for activity-based recommendations are described. One example embodiment includes receiving data indicating historical activities of a user community, the historical activities including historical activities of the target user, selecting a reference group of users from the user community based on analysis of the historical activities of the target user, receiving generally current time activities of the reference group of users, the generally current time activities including those activities that have occurred within a defined time window, and recommending items to the target user based on the generally current time activities of the reference group of users.
    Type: Application
    Filed: November 21, 2011
    Publication date: March 15, 2012
    Inventors: Harshal Ulhas Deo, Kavita Ganesan, Monica Dhanarj
  • Patent number: 8131722
    Abstract: In one example embodiment, a method is illustrated as including retrieving item data from a plurality of listings, the item data filtered from noise data, constructing at least one base cluster having at least one document with common item data stored in a suffix ordering, compacting the at least one base cluster to create a compacted cluster representation having a reduced duplicate suffix ordering amongst the clusters, and merging the compact cluster representation to generate a merged cluster, the merging based upon a first overlap value applied to the at least one document with common item data.
    Type: Grant
    Filed: June 29, 2007
    Date of Patent: March 6, 2012
    Assignee: eBay Inc.
    Inventors: Neelakantan Sundaresan, Kavita Ganesan, Roopnath Grandhi
  • Patent number: 8086480
    Abstract: Embodiments of computer-implemented methods and systems for activity-based recommendations are described. One example embodiment includes receiving data indicating historical activities of a user community, the historical activities including historical activities of the target user, selecting a reference group of users from the user community based on analysis of the historical activities of the target user, receiving generally current time activities of the reference group of users, the generally current time activities including those activities that have occurred within a defined time window, and recommending items to the target user based on the generally current time activities of the reference group of users.
    Type: Grant
    Filed: September 25, 2008
    Date of Patent: December 27, 2011
    Assignee: eBay Inc.
    Inventors: Harshal Ulhas Deo, Kavita Ganesan, Monica Dhanaraj
  • Publication number: 20100076857
    Abstract: Embodiments of computer-implemented methods and systems for activity-based recommendations are described. One example embodiment includes receiving data indicating historical activities of a user community, the historical activities including historical activities of the target user, selecting a reference group of users from the user community based on analysis of the historical activities of the target user, receiving generally current time activities of the reference group of users, the generally current time activities including those activities that have occurred within a defined time window, and recommending items to the target user based on the generally current time activities of the reference group of users.
    Type: Application
    Filed: September 25, 2008
    Publication date: March 25, 2010
    Inventors: Harshal Ulhas Deo, Kavita Ganesan, Monica Dhanaraj
  • Publication number: 20080256040
    Abstract: In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.
    Type: Application
    Filed: August 7, 2007
    Publication date: October 16, 2008
    Inventors: Neelakantan Sundaresan, Kavita Ganesan, Harshal Ulhas Deo
  • Publication number: 20080120292
    Abstract: In one example embodiment, a method is illustrated as including retrieving item data from a plurality of listings, the item data filtered from noise data, constructing at least one base cluster having at least one document with common item data stored in a suffix ordering, compacting the at least one base cluster to create a compacted cluster representation having a reduced duplicate suffix ordering amongst the clusters, and merging the compact cluster representation to generate a merged cluster, the merging based upon a first overlap value applied to the at least one document with common item data.
    Type: Application
    Filed: June 29, 2007
    Publication date: May 22, 2008
    Inventors: Neelakantan Sundaresan, Kavita Ganesan, Roopnath Grandhi