Patents by Inventor Navneet Mathur

Navneet Mathur 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).

  • Graph based recommendation system
    Patent number: 11921793
    Abstract: Techniques are disclosed to provide a graph based recommendation system. A recommendation engine definition that includes for each of a plurality of pipeline phases a corresponding phase definition and data indicating a location of the phase in a pipeline defined by the recommendation engine definition is stored in a memory of other storage device. The recommendation engine definition is used to generate programmatically one or more procedures to provide a recommendation engine that implements the pipeline. An API usable by a client to obtain a recommendation from the recommendation engine is generated programmatically and exposed.
    Type: Grant
    Filed: November 7, 2022
    Date of Patent: March 5, 2024
    Assignee: Neo4j Sweden AB
    Inventors: Navneet Mathur, Nir Avrahamov
  • TOOL TO BUILD AND STORE A DATA MODEL AND QUERIES FOR A GRAPH DATABASE
    Publication number: 20230306059
    Abstract: A system is disclosed to build and store a data model and queries for a graph database. In various embodiments, data defining one or more aspects of a data model associated with a graph database is received. A set of data that represents the data model is stored as a graph that includes one or more nodes to represent each of the following: data model metadata, one or more node labels comprising the graph database, one or more relationship types of the graph database, and one or more property definitions each associated with a property of at least one of a node label and a relationship type of the graph database.
    Type: Application
    Filed: June 2, 2023
    Publication date: September 28, 2023
    Inventors: Daniel Eric Monk, Navneet Mathur
  • Tool to build and store a data model and queries for a graph database
    Patent number: 11720631
    Abstract: A system is disclosed to build and store a data model and queries for a graph database. In various embodiments, data defining one or more aspects of a data model associated with a graph database is received. A set of data that represents the data model is stored as a graph that includes one or more nodes to represent each of the following: data model metadata, one or more node labels comprising the graph database, one or more relationship types of the graph database, and one or more property definitions each associated with a property of at least one of a node label and a relationship type of the graph database.
    Type: Grant
    Filed: April 21, 2021
    Date of Patent: August 8, 2023
    Assignee: Neo4j Sweden AB
    Inventors: Daniel Eric Monk, Navneet Mathur
  • GRAPH BASED RECOMMENDATION SYSTEM
    Publication number: 20230081880
    Abstract: Techniques are disclosed to provide a graph based recommendation system. A recommendation engine definition that includes for each of a plurality of pipeline phases a corresponding phase definition and data indicating a location of the phase in a pipeline defined by the recommendation engine definition is stored in a memory of other storage device. The recommendation engine definition is used to generate programmatically one or more procedures to provide a recommendation engine that implements the pipeline. An API usable by a client to obtain a recommendation from the recommendation engine is generated programmatically and exposed.
    Type: Application
    Filed: November 7, 2022
    Publication date: March 16, 2023
    Inventors: Navneet Mathur, Nir Avrahamov
  • Graph based recommendation system
    Patent number: 11537663
    Abstract: Techniques are disclosed to provide a graph based recommendation system. A recommendation engine definition that includes for each of a plurality of pipeline phases a corresponding phase definition and data indicating a location of the phase in a pipeline defined by the recommendation engine definition is stored in a memory of other storage device. The recommendation engine definition is used to generate programmatically one or more procedures to provide a recommendation engine that implements the pipeline. An API usable by a client to obtain a recommendation from the recommendation engine is generated programmatically and exposed.
    Type: Grant
    Filed: May 14, 2020
    Date of Patent: December 27, 2022
    Assignee: Neo4j Sweden AB
    Inventors: Navneet Mathur, Nir Avrahamov
  • TOOL TO BUILD AND STORE A DATA MODEL AND QUERIES FOR A GRAPH DATABASE
    Publication number: 20220342932
    Abstract: A system is disclosed to build and store a data model and queries for a graph database. In various embodiments, data defining one or more aspects of a data model associated with a graph database is received. A set of data that represents the data model is stored as a graph that includes one or more nodes to represent each of the following: data model metadata, one or more node labels comprising the graph database, one or more relationship types of the graph database, and one or more property definitions each associated with a property of at least one of a node label and a relationship type of the graph database.
    Type: Application
    Filed: April 21, 2021
    Publication date: October 27, 2022
    Inventors: Daniel Eric Monk, Navneet Mathur