Patents by Inventor Hardik VALA

Hardik VALA 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).

  • TECHNIQUES FOR PERSONALIZING APP STORE RECOMMENDATIONS
    Publication number: 20240086412
    Abstract: Disclosed herein is a technique for providing software application recommendations to a user of a computing device. The technique can include: (1) receiving, from the computing device, a request for at least one software application recommendation, (2) identifying, among a plurality of user profiles, a user profile associated with the user, (3) accessing a plurality of software application profiles (SAPs), wherein each SAP of the plurality of SAPs is associated with a respective software application managed by the server computing device, (4) analyzing the user profile against a subset of the plurality of SAPs to identify, among the respective software applications associated with the subset of the plurality of SAPs, at least one software application to recommend, (5) associating the at least one software application recommendation with the at least one software application, and (6) causing the computing device to display the at least one software application recommendation.
    Type: Application
    Filed: November 17, 2023
    Publication date: March 14, 2024
    Inventors: Jayasimha R. KATUKURI, Peter LEONG, Chandrasekar VENKATARAMAN, Rabi S. CHAKRABORTY, Hardik VALA
  • Techniques for personalizing app store recommendations
    Patent number: 11853306
    Abstract: Disclosed herein is a technique for providing software application recommendations to a user of a computing device. The technique can include: (1) receiving, from the computing device, a request for at least one software application recommendation, (2) identifying, among a plurality of user profiles, a user profile associated with the user, (3) accessing a plurality of software application profiles (SAPs), wherein each SAP of the plurality of SAPs is associated with a respective software application managed by the server computing device, (4) analyzing the user profile against a subset of the plurality of SAPs to identify, among the respective software applications associated with the subset of the plurality of SAPs, at least one software application to recommend, (5) associating the at least one software application recommendation with the at least one software application, and (6) causing the computing device to display the at least one software application recommendation.
    Type: Grant
    Filed: September 28, 2018
    Date of Patent: December 26, 2023
    Assignee: Apple Inc.
    Inventors: Jayasimha R. Katukuri, Peter Leong, Chandrasekar Venkataraman, Rabi S. Chakraborty, Hardik Vala
  • TECHNIQUES FOR PERSONALIZING APP STORE RECOMMENDATIONS
    Publication number: 20190370345
    Abstract: Disclosed herein is a technique for providing software application recommendations to a user of a computing device. The technique can include: (1) receiving, from the computing device, a request for at least one software application recommendation, (2) identifying, among a plurality of user profiles, a user profile associated with the user, (3) accessing a plurality of software application profiles (SAPs), wherein each SAP of the plurality of SAPs is associated with a respective software application managed by the server computing device, (4) analyzing the user profile against a subset of the plurality of SAPs to identify, among the respective software applications associated with the subset of the plurality of SAPs, at least one software application to recommend, (5) associating the at least one software application recommendation with the at least one software application, and (6) causing the computing device to display the at least one software application recommendation.
    Type: Application
    Filed: September 28, 2018
    Publication date: December 5, 2019
    Inventors: Jayasimha R. KATUKURI, Peter LEONG, Chandrasekar VENKATARAMAN, Rabi S. CHAKRABORTY, Hardik VALA