Personal music preference determination based on listening behavior

• US 20060224798A1
• Filed: 02/21/2006
• Published: 10/05/2006
• Est. Priority Date: 02/22/2005
• Status: Abandoned Application

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Klein, Mark D., Zito, Tom
• Application Number:
  US11/359,903
• Publication Number:
  US 20060224798A1
• Time in Patent Office: Days
• US Class Current: 710/62
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: G06F 16/634 Query by example, e.g. query by humming
• CPC Class Codes: G06F 16/637 Administration of user profiles, e.g. generation, initialization, adaptation or distribution
• CPC Class Codes: G06F 16/68 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/683 using metadata automatically derived from the content

Abstract

Music preferences for users are determined by direct sampling and analysis of the user'"'"'s listening behavior. A user'"'"'s preferences are derived by identifying songs listened to by the user and analyzing the user'"'"'s switching-behavior among songs actually being played on the air.

Claims

1. A method for determining personal music preference for a user, comprising:

receiving data describing audio to which a user has been exposed;

comparing the received data against reference data to identify the audio;

generating a music exposure timeline;

analyzing to the generated music exposure timeline to determine music preferences for the user; and

generating a report summarizing the determined music preferences.