Patents by Inventor Harshal Ulhas Deo

Harshal Ulhas Deo 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).

  • Publication number: 20190073696
    Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for tokenizing offers. The current disclosure presents a system and method that can present a tokenized offer for saving and retrieving from a digital wallet. The tokenized offer may be presented on a client site for selection by a user interested in taking advantage of the promotion without having to leave the current site. The current disclosure also presents a system that can retrieve the tokenized offer saved for use with a purchase. The tokenized offer may be automatically applied and on display at the merchant site and/or retrieved from the digital wallet.
    Type: Application
    Filed: September 5, 2017
    Publication date: March 7, 2019
    Inventors: Braden Christopher Ericson, Harshal Ulhas Deo
  • 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: 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: 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: 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
  • Patent number: 7930260
    Abstract: A method for near real time patterns identification, in one example embodiment, comprises receiving a data stream containing information associated with a transaction and participants of the transaction and receiving an Artificial Intelligence (AI) algorithm trained to score data in the data stream. The method may further comprise receiving metadata associated with the historical information, comparing the data stream to the metadata by measuring differences between variables included in the historical metadata and the data stream. The method may further comprise modifying the data stream to suit the AI algorithm when the differences between variables are below predetermined threshold values and retraining the AI algorithm based on the data stream when the differences between the variables are greater than the predetermined threshold values. The method may further comprise feeding the data stream to the AI algorithm to classify the variables in the data stream.
    Type: Grant
    Filed: February 14, 2008
    Date of Patent: April 19, 2011
    Assignee: eBay Inc.
    Inventors: Harshal Ulhas Deo, Brian Matthew Carnes, Lakshman Shyam Sundar Maddali
  • 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: 20090210368
    Abstract: A method for near real time patterns identification, in one example embodiment, comprises receiving a data stream containing information associated with a transaction and participants of the transaction and receiving an Artificial Intelligence (AI) algorithm trained to score data in the data stream. The method may further comprise receiving metadata associated with the historical information, comparing the data stream to the metadata by measuring differences between variables included in the historical metadata and the data stream. The method may further comprise modifying the data stream to suit the AI algorithm when the differences between variables are below predetermined threshold values and retraining the AI algorithm based on the data stream when the differences between the variables are greater than the predetermined threshold values. The method may further comprise feeding the data stream to the AI algorithm to classify the variables in the data stream.
    Type: Application
    Filed: February 14, 2008
    Publication date: August 20, 2009
    Applicant: EBAY INC.
    Inventors: Harshal Ulhas Deo, Brian Matthew Carnes, Lakshman Shyam Maddali
  • 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