Verizon Patent and Licensing Inc.

Venket Kandanala

Jubish C Parambath

Nicky Joshi

Anand N Sankaran

Lisa A Caputo

Mousumi Dasgupta

Karthik Srinivasan

Rajesh Narayanan

Sudharsan Selvakumar

Shafiq Kassam

Siddhartha X Gunda

Mareeswari Muthusamy

Srimathi Saravanan

VijayPrabhu Baskaran

Sudarshan Selvakumar

Vadivel Mohanakrishnan

Jagadish B Nagam

Fazil C Ummer

TamilKumaran Palaniappan

Varughese P Mathew

Pankul X Mahajan

Rajesh Narayan

Paranjothi X Ramalingam

Sundarajan Varadharajan

Sumithra Jayaraman

A method may include obtaining customer information regarding the user and marketing rules regarding a plurality of store offerings. A number of store offerings from the plurality of store offerings may be identified based on the customer information and the marketing rules. One or more of the identified store offerings may be provided to the user. A user request to purchase a selected one of the provided store offerings may be received. The content or services associated with the selected store offering may be provisioned based on the user request.

Multi-service store

A method and system that provides a television service; receives a customer input to access a graphical user interface that includes a main menu pertaining to the television service; retrieves the graphical user interface; and displays the graphical user interface via the customer device, wherein the graphical user interface includes a main menu body and an interactive masthead having an interactive element that permits a customer to access content via the interactive element.

Interactive masthead

A method may include receiving a user request to view a channel to which the user does not currently subscribe. Customer information regarding the user and marketing rules regarding a plurality of combination offers that include the channel may be obtained. A number of combination offers from the plurality of combination offers may be determined based on the customer information and the marketing rules. One or more of the determined combination offers may be provided to the user. A user request to purchase a selected one of the provided combination offers may be received. The channels included within the selected combination offer may be provisioned based on the user request.

Intelligent offer generation

A method and system that provides customers a pay-per-view portal, accessible via a television service, a mobile service, or an Internet service. The pay-per-view portal permits customers to search for pay-per-view programs and provide search results that include related content to pay-per-view programs including related videos, articles, biographical summaries, stats on players or fighters, and images. The pay-per-view portal provides personalized pay-per-view program recommendations, pay-per-view calendars, and sub-portals directed to categories or sub-categories of pay-per-view programs. The pay-per-view portal also provides the ordering and purchasing of pay-per-view programs days, weeks, or months in advance of the airing of the pay-per-view programs.

Pay-per-view portal

Exemplary embodiments include methods and systems for monitoring and analyzing tickets including collecting data associated with one or more parameters/keywords of tickets. The methods and systems may also include determining if a number of tickets associated the one or more parameters/keywords exceeds a count threshold associated with the one or more parameters. The methods and systems may further include outputting a result of the analysis of the collected data.

Method and system for monitoring and analyzing tickets

A method including providing at least one of a phone service, an Internet access service, or a television service to customers; identifying a customer when the customer uses the at least one of the phone service, the Internet access service, or the television service; selecting products or services for which the customer qualifies based on the identifying; gathering customer-specific data for the customer; generating recommendations that pertain to the at least one of the phone service, the Internet access service, or the television service for the customer based on the products or the services for which the customer qualifies, the customer-specific data, and other factors, wherein the other factors include at least one of a location of the customer or a time in which the recommendations is to be provided to the customer; and providing the recommendations to the customer via the at least service.

Artificial intelligence-based recommender and self-provisioner

Growing community of inventors

Highland Village, TX, United States of America

Venket Kandanala