Content personality classifier

• US 9,667,367 B2
• Filed: 06/01/2011
• Issued: 05/30/2017
• Est. Priority Date: 06/01/2011
• Status: Expired due to Fees

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: Baskaran, Vijay Prabhu, Parambath, Jubish Cheriya, Sankaran, Anand N., Swayambhu, Krithika, Mukhopadhyay, Aveek, Mukherjee, Suman
• Primary Examiner(s): Flynn, Nathan
• Assistant Examiner(s): Ryan, Patrick A
• Application Number:
  US13/150,291
• Publication Number:
  US 20120311619A1
• Time in Patent Office: 2,190 Days
• Field of Search: 725 9- 21, 725 61, 705 711, 705 729, 434322-364
• CPC Class Codes: H04H 60/45 for identifying users
• CPC Class Codes: H04H 60/46 for recognising users' preferences
• CPC Class Codes: H04N 21/44226 on social networks
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie

Abstract

A method including identifying a customer when the customer uses a television service; storing contents that are each tagged with a Myers-Briggs Type Indicator or one or more personality characteristics pertaining to a Myers-Briggs Type Indicator; selecting contents from the stored contents; providing a user interface to permit the customer to choose from a selection of the stored contents to rate; receiving ratings of a chosen contents from the customer; identifying the customer'"'"'s Myers-Briggs Type Indicator based on the received ratings; and providing the customer'"'"'s Myers-Briggs Type Indicator to the customer.

Claims

1. A method comprising:

storing, by a processor, information associating each multimedia item, of a plurality of multimedia items, with one or more respective personality characteristics of a plurality of personality characteristics;

selecting, by the processor, one or more multimedia items of the plurality of multimedia items;

receiving, by the processor and from a customer, respective ratings of the selected one or more multimedia items;

identifying, by the processor, a personality type for the customer based on;

the one or more respective personality characteristics associated with each of the selected one or more multimedia items, and

the respective ratings for the selected one or more multimedia items; and

providing, by the processor, data identifying the personality type for display to the customer;

wherein the plurality of personality characteristics relate to Myers-Briggs Type Indicators, and wherein selecting the one or more multimedia items further includes;

receiving, from the customer, a selection of at least one multimedia item of the plurality of multimedia items;

determining that none of the at least one multimedia items is associated with a first personality characteristic related to a particular Myers-Briggs Type Indicator of the Myers-Briggs Type Indicators; and

selecting another multimedia item, of the plurality of multimedia items, to include in the selected one or more multimedia items, wherein the selected other multimedia item is associated with a second personality characteristic related to a Myers-Briggs Type Indicator counterpart of the particular Myers-Briggs Type Indicator.