18049069. DYNAMIC USER PROFILE PROJECTION simplified abstract (Adobe Inc.)

DYNAMIC USER PROFILE PROJECTION

Organization Name

Adobe Inc.

Inventor(s)

Nathan Ng of Amherst MA (US)

Tung Mai of San Jose CA (US)

Thomas Greger of Lehi UT (US)

Kelly Quinn Nicholes of Lehi UT (US)

Antonio Cuevas of Mountain View CA (US)

Saayan Mitra of San Jose CA (US)

Somdeb Sarkhel of San Jose CA (US)

Anup Bandigadi Rao of San Jose CA (US)

Ryan A. Rossi of San Jose CA (US)

Viswanathan Swaminathan of Saratoga CA (US)

Shivakumar Vaithyanathan of Saratoga CA (US)

DYNAMIC USER PROFILE PROJECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18049069 titled 'DYNAMIC USER PROFILE PROJECTION

The patent application describes systems and methods for dynamic user profile projection, involving predicting future user behavior based on historical data and transmitting the user profile to an edge server accordingly.

• Prediction component computes predicted number of lookups for a future time period based on lookup history using a lookup prediction model.
• Prediction component compares predicted number of lookups to a lookup threshold.
• Projection component transmits the user profile to an edge server based on the comparison.

Potential Applications: - Personalized content delivery - Targeted advertising - User experience optimization

Problems Solved: - Efficient resource allocation based on user behavior prediction - Enhanced user engagement through tailored content delivery

Benefits: - Improved user satisfaction - Increased efficiency in content delivery - Enhanced user engagement

Commercial Applications: Dynamic user profile projection technology can be utilized in various industries such as e-commerce, digital marketing, and social media platforms to enhance user experience and increase engagement.

Prior Art: No prior art information provided.

Frequently Updated Research: No information on frequently updated research related to this technology.

Questions about Dynamic User Profile Projection: 1. How does the lookup prediction model accurately forecast future user behavior? 2. What are the key factors considered when determining the lookup threshold for user profile transmission?

Original Abstract Submitted

Systems and methods for dynamic user profile projection are provided. One or more aspects of the systems and methods includes computing, by a prediction component, a predicted number of lookups for a future time period based on a lookup history of a user profile using a lookup prediction model; comparing, by the prediction component, the predicted number of lookups to a lookup threshold; and transmitting, by a projection component, the user profile to an edge server based on the comparison.