17937896. EVENT ATTRIBUTION BY EXPERIENCE AND CONTENT simplified abstract (AT&T Intellectual Property I, L.P.)
Contents
EVENT ATTRIBUTION BY EXPERIENCE AND CONTENT
Organization Name
AT&T Intellectual Property I, L.P.
Inventor(s)
Eric Zavesky of Austin TX (US)
Qiong Wu of Bridgewater NJ (US)
Jianxiong Dong of Pleasanton CA (US)
EVENT ATTRIBUTION BY EXPERIENCE AND CONTENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 17937896 titled 'EVENT ATTRIBUTION BY EXPERIENCE AND CONTENT
Simplified Explanation
The patent application describes an architecture for creating and attributing experiences based on location, popularity, captured media, and objects. Here is a simplified explanation of the abstract:
- Receiving social media data associated with a user
- Generating an attributable identity token based on the social media data and a learning model
- Disseminating the attributable identity token to a group of user identities associated with a social media operator entity
Potential Applications of this Technology: - Personalized location-based experiences - Targeted marketing campaigns based on user preferences and behaviors
Problems Solved by this Technology: - Difficulty in personalizing experiences based on user data - Inefficient targeting of marketing efforts
Benefits of this Technology: - Enhanced user engagement through personalized experiences - Improved marketing effectiveness through targeted campaigns
Potential Commercial Applications of this Technology: - Social media platforms for targeted advertising - Location-based services for personalized recommendations
Possible Prior Art: - Location-based services such as geotagging in social media platforms - Personalized advertising based on user data
Unanswered Questions: 1. How does the learning model adapt to changing user preferences over time? 2. What measures are in place to ensure the privacy and security of user data in this architecture?
Original Abstract Submitted
An architecture related to the creation of, and attribution to, experiences based on location, popularity, captured media, and/or objects. A method can comprise receiving social media data associated with a user associated with a user identity, generating an attributable identity token based on the social media data and a learning model, wherein the attributable identity token is associated with the user identity and is representative of location data and experience data, and wherein the learning model comprises a collection of rules, and disseminating, by the device, the attributable identity token to a group of user identities associated with a social media operator entity.
