(The Hosting News) – Apple’s latest patent filing offers advertisers a more effective way to target users by delivering ads based on a user’s mood.
Published by the US Patent and Trademark Office, the “Inferring User Mood Based on User and Group Characteristic Data” patent analyzes mood data collected over a set period of time that creates a “baseline mood profile” for users.
“The present technology analyzes mood-associated characteristic data collected over a period of time to produce at least one baseline mood profile for a user. The user’s current mood can then be inferred by applying one or more mood rules to compare current mood-associated data to at least one baseline mood profile for the user,” reads the patent application.
The system also calculates user’s behavior, location, time of day, and who the user is interacting with.
“An individual’s responsiveness to targeted content delivery can be affected by a number of factors, such as an interest in the content, other content the user is currently interacting with, the user’s current location, or even the time of day. A way of improving targeted content delivery can be to infer a user’s current mood and then deliver content that is selected, at least in part, based on the inferred mood.”
Besides a users mood, the ad delivery system can learn information from other sources such as databases.
For example, if a user registers in the iTunes Store, the system can automatically take their registration information and use it as more characteristic data.
Apple’s mood-based system was first filed in July 2013 and lists Michael Froimowitz Greenzeiger, Ravindra Phulari and Mehul K. Sanghavi as its inventors.