Patents by Inventor Anshul Sheopuri

Anshul Sheopuri 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: 10831827
    Abstract: A user trajectory graph may be constructed based on spatio-temporal data. A mobility pattern may be extracted from the user trajectory graph. Users may be clustered into groups, wherein the users in a same group possess similar feature values in the mobility pattern, and the users in different groups have different feature values, to identify personas and location sets. A distribution model may be constructed that models user timing and location preference, wherein an outcome indicates a preference for a particular time bin on a particular day for a particular location.
    Type: Grant
    Filed: April 1, 2016
    Date of Patent: November 10, 2020
    Assignee: International Business Machines Corporation
    Inventors: Wesley M. Gifford, Ying Li, Rong Liu, Anshul Sheopuri
  • Publication number: 20200334580
    Abstract: Various embodiments are provided for implementing intelligent decision support system in a computing environment by a processor. Data of historical decisions may be collected and examples of decisions by domain experts may be generated. One or more machine learning models may be generated using different splits of the historical data and the annotated data. The one or more machine learning models may be combined and used to generate ensemble machine learning models that generate recommendations for the decisions. Users interact with a user interface displaying the data, recommendations, reasons for recommendations and a conversational dialog system for querying about the data, recommendations and guidance for decision making.
    Type: Application
    Filed: April 17, 2019
    Publication date: October 22, 2020
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Anshul SHEOPURI, Binny Rieder, Pooja ARYA, Nickle LAMOREAUX, Joanna DALY, Saikat MUKHOPADHYAY, Priyanka DASGUPTA, Nandakishore KAMBHATLA, Aditya TELANG, Priyanka AGRAWAL
  • Patent number: 10692099
    Abstract: A method and system are provided. The method includes converting, by a computer having a processor and a memory, categorical sequence data for a customer journey into a numerical similarity matrix. The method further includes learning, by the computer, features of the customer journey by applying a distance metric learning based matrix factorization approach to the numerical similarity matrix.
    Type: Grant
    Filed: April 11, 2016
    Date of Patent: June 23, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Hongfei Li, Anshul Sheopuri, Jinfeng Yi, Qi Yu
  • Patent number: 10673711
    Abstract: A system, method and program product for bundling resources for a resource provisioning platform. A system is disclosed that includes a plurality of resources, wherein each resource belongs to one of a plurality of categories; a bundling system having: a data collection system that gathers historical transaction data associated with the resources; an analysis system that analyzes the historical transaction data to assign estimated valuations to different bundles of resources and includes (a) a substitution effect analyzer to analyze a substitution effect of resources in each category using discrete choice modeling and marginal value estimation, and (b) a joint dependence analyzer that determines intra-category and inter-category joint dependent inferences across all resources; and a bundle selection system that selects a set of bundles for provisioning based on the estimated valuations.
    Type: Grant
    Filed: November 28, 2017
    Date of Patent: June 2, 2020
    Assignee: International Business Machines Corporation
    Inventors: Benjamin Letham, Anshul Sheopuri, Wei Sun
  • Patent number: 10373093
    Abstract: Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a given organization user data associated with consumption of the content. A first set of consumption profile vectors associated with the given organization and one or more second set of consumption profile vectors associated respectively with one or more cross-industry organizations may be generated. Information associated with a target user in the given organization may be received. A customized learning plan for the target user in the given organization may be generated based on the first set of consumption profile vectors, the one or more second set of consumption profile vectors, and the information associated with the target user.
    Type: Grant
    Filed: October 27, 2015
    Date of Patent: August 6, 2019
    Assignee: International Business Machines Corporation
    Inventors: Shota Aki, John J. Ambrose, Yi-Min Chee, Wesley M. Gifford, Ashish Jagmohan, Suzanne M. Rodeman, Anshul Sheopuri
  • Publication number: 20190166018
    Abstract: A system, method and program product for bundling resources for a resource provisioning platform. A system is disclosed that includes a plurality of resources, wherein each resource belongs to one of a plurality of categories; a bundling system having: a data collection system that gathers historical transaction data associated with the resources; an analysis system that analyzes the historical transaction data to assign estimated valuations to different bundles of resources and includes (a) a substitution effect analyzer to analyze a substitution effect of resources in each category using discrete choice modeling and marginal value estimation, and (b) a joint dependence analyzer that determines intra-category and inter-category joint dependent inferences across all resources; and a bundle selection system that selects a set of bundles for provisioning based on the estimated valuations.
    Type: Application
    Filed: November 28, 2017
    Publication date: May 30, 2019
    Inventors: Benjamin Letham, Anshul Sheopuri, Wei Sun
  • Patent number: 10089147
    Abstract: A scheduling system and method for high-performance computing (HPC) applications includes a network management component stored in physical memory and executed by a processor. The management component is configured to transform HPC resources into a schedulable resource catalog by transforming multi-dimensional HPC resources into a one dimension versus time resource catalog with a dependent graph structure between resources such that HPC resources are enabled to be provisioned into a service environment with predictable provisioning using the resource catalog. A graphical user interface component is coupled to the network management component and configured to provide scheduling visibility to entities and to enable a plurality of different communication modes for scheduling and communication between entities.
    Type: Grant
    Filed: August 13, 2010
    Date of Patent: October 2, 2018
    Assignee: International Business Machines Corporation
    Inventors: Hani T. Jamjoom, Mark E. Podlaseck, Huiming Qu, Yaoping Ruan, Denis R. Saure, Zon-Yin Shae, Anshul Sheopuri
  • Patent number: 10025629
    Abstract: A system and method for scheduling resources includes a memory storage device having a resource data structure stored therein which is configured to store a collection of available resources, time slots for employing the resources, dependencies between the available resources and social map information. A processing system is configured to set up a communication channel between users, between a resource owner and a user or between resource owners to schedule users in the time slots for the available resources. The processing system employs social mapping information of the users or owners to assist in filtering the users and owners and initiating negotiations for the available resources.
    Type: Grant
    Filed: August 13, 2015
    Date of Patent: July 17, 2018
    Assignee: International Business Machines Corporation
    Inventors: Hani T. Jamjoom, Mark E. Podlaseck, Huiming Qu, Yaoping Ruan, Zon-Yin Shae, Anshul Sheopuri
  • Patent number: 10003923
    Abstract: Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data. The method further includes applying multi-user collaborative machine learning to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set.
    Type: Grant
    Filed: May 31, 2017
    Date of Patent: June 19, 2018
    Assignee: International Business Machines Corporation
    Inventors: Hongfei Li, Anshul Sheopuri, Jinfeng Yi, Qi Yu
  • Patent number: 9971976
    Abstract: Selecting candidates from a set of candidates by receiving a set of input parameters about a single aspect of the candidates and applying multiple scoring methods to those input parameters to compute a candidate score via each scoring method. A subset of zero or more candidates is then selected from the set of candidates by applying one or more selection criteria to the set of scores. There is not necessarily a value for every input parameter of every candidate.
    Type: Grant
    Filed: September 23, 2014
    Date of Patent: May 15, 2018
    Assignee: International Business Machines Corporation
    Inventors: Wesley M. Gifford, Pavankumar Murali, Anshul Sheopuri
  • Publication number: 20180005314
    Abstract: Aspects of the present invention include a method, system and computer program product. The method includes determining, by the processor, an optimal bid price for each one of a plurality of campaigns in each one of a plurality of online real time bidding auctions. The method also includes determining, by the processor, a winning function for bids placed for campaigns in each one of a plurality of online real time bidding auctions, and determining, by the processor, a bidding function for bids placed for campaigns in each one of a plurality of online real time bidding auctions. The method also includes determining, by the processor, the optimal bid price for each one of a plurality of campaigns in each one of a plurality of online real time bidding auctions as a function of the determined winning function and the determined bidding function.
    Type: Application
    Filed: June 30, 2016
    Publication date: January 4, 2018
    Inventors: Ying Li, Pietro Mazzoleni, Pavankumar Murali, Anshul Sheopuri, Roman Vaculin
  • Publication number: 20170293836
    Abstract: A method and system are provided. The method includes receiving by a computer having a processor and a memory, sequence data that includes labeled data and unlabeled data. The method further includes generating, by the computer having the processor and the memory, a recurrent neural network model of the sequence data, the recurrent neural network model having a recurrent layer and an aggregate layer. The recurrent neural network model feeds sequences generated from the recurrent layer into the aggregate layer for aggregation, stores temporal dependencies in the sequence data, and generates labels for at least some of the unlabeled data.
    Type: Application
    Filed: April 11, 2016
    Publication date: October 12, 2017
    Inventors: Hongfei Li, Anshul Sheopuri, Jinfeng Yi, Qi Yu
  • Publication number: 20170293919
    Abstract: A method and system are provided. The method includes converting, by a computer having a processor and a memory, categorical sequence data for a customer journey into a numerical similarity matrix. The method further includes learning, by the computer, features of the customer journey by applying a distance metric learning based matrix factorization approach to the numerical similarity matrix.
    Type: Application
    Filed: April 11, 2016
    Publication date: October 12, 2017
    Inventors: Hongfei Li, Anshul Sheopuri, Jinfeng Yi, Qi Yu
  • Publication number: 20170286845
    Abstract: A user trajectory graph may be constructed based on spatio-temporal data and mobility pattern extracted from trajectory graph. Users may be clustered into groups, wherein the users in a same group posses similar feature values in the mobility pattern, and the users in different groups have different feature values, to identify personas and location sets. A distribution model may be constructed that models user timing and location preference, wherein an outcome indicates a preference for a particular time bin on a particular day for a particular location.
    Type: Application
    Filed: April 1, 2016
    Publication date: October 5, 2017
    Inventors: Wesley M. Gifford, Ying Li, Rong Liu, Anshul Sheopuri
  • Publication number: 20170272908
    Abstract: Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data. The method further includes applying multi-user collaborative machine learning to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set.
    Type: Application
    Filed: May 31, 2017
    Publication date: September 21, 2017
    Inventors: Hongfei Li, Anshul Sheopuri, Jinfeng Yi, Qi Yu
  • Patent number: 9743243
    Abstract: Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data. The method further includes applying multi-user collaborative machine learning to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set.
    Type: Grant
    Filed: March 16, 2016
    Date of Patent: August 22, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Hongfei Li, Anshul Sheopuri, Jinfeng Yi, Qi Yu
  • Publication number: 20170186041
    Abstract: An aspect of the disclosure includes a method, a system and a computer program product for retargeting content to a decision making unit. The method including determining a journey stage for each of the plurality of individuals. A retargeting strategy is identified for each of the plurality of individuals, the retargeting strategy based at least in part on the journey stage for each of the plurality of individuals and a cost factor. Content data is transmitted to at least one of the plurality of individuals using retargeting based at least in part on the retargeting strategy.
    Type: Application
    Filed: December 28, 2015
    Publication date: June 29, 2017
    Inventors: Ying Li, Rong Liu, Pietro Mazzoleni, Pavankumar Murali, Sachin Pai, Anshul Sheopuri, Roman Vaculin
  • Publication number: 20170116554
    Abstract: Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a given organization user data associated with consumption of the content. A first set of consumption profile vectors associated with the given organization and one or more second set of consumption profile vectors associated respectively with one or more cross-industry organizations may be generated. Information associated with a target user in the given organization may be received. A customized learning plan for the target user in the given organization may be generated based on the first set of consumption profile vectors, the one or more second set of consumption profile vectors, and the information associated with the target user.
    Type: Application
    Filed: October 27, 2015
    Publication date: April 27, 2017
    Inventors: Shota Aki, John J. Ambrose, Yi-Min Chee, Wesley M. Gifford, Ashish Jagmohan, Suzanne M. Rodeman, Anshul Sheopuri
  • Patent number: 9618350
    Abstract: A computer readable medium embodies a program of machine-readable instructions executable by a processing apparatus to perform operations including determining information corresponding to a number of differences in distances between ending points of journeys taken by a vehicle and starting points of consecutive journeys taken by the vehicle, and transmitting one or more representations of the information. Another computer readable medium tangibly includes instructions for, for each of a number of vehicles, receiving one or more scores corresponding to a vehicle, and determining a ranked list containing at least a portion of the scores, and outputting the ranked list. Another computer readable medium includes instructions for, for each of a number of vehicles, receiving information corresponding to a vehicle, using one or more metrics, calculating one or more values from the received information, and communicating one or more representations of the one or more value to one or more entities.
    Type: Grant
    Filed: January 14, 2016
    Date of Patent: April 11, 2017
    Assignee: International Business Machines Corporation
    Inventors: Todd M. Appel, Duncan A. Ashby, So Yeon Chun, Milind R. Naphade, Richard J. Nash, Anshul Sheopuri, Anders Thornqvist, Martin Vuyk
  • Publication number: 20160335909
    Abstract: Enterprise learning system may receive as input learning goals for a learner. Learning goals may also be specified by job-roles. The system may output course-sequence recommendations, sequence-associations to learning goals and learning-goal recommendations. A semantic analysis may automatically relate learning-goals to learning assets and job-roles. Computational semantic relation-finding may leverage available knowledge-bases. A sequence-recommendation recommends course or learning asset sequences to the learner based on historical usage, the learner's current and/or desired job-roles and learning goals.
    Type: Application
    Filed: May 14, 2015
    Publication date: November 17, 2016
    Inventors: John J. Ambrose, Yi-Min Chee, Wesley M. Gifford, Ashish Jagmohan, Laura W. Rexford, Suzanne M. Rodeman, Anshul Sheopuri, Piyawadee Sukaviriya