View source for 18515082. ENHANCED PROCESSING OF USER PROFILES USING DATA STRUCTURES SPECIALIZED FOR GRAPHICAL PROCESSING UNITS (GPUs) simplified abstract (Oracle International Corporation)

=ENHANCED PROCESSING OF USER PROFILES USING DATA STRUCTURES SPECIALIZED FOR GRAPHICAL PROCESSING UNITS (GPUs)=


==Organization Name==

[[:Category:Oracle International Corporation|Oracle International Corporation]]


[[Category:Oracle International Corporation]]

==Inventor(s)==

[[:Category:David Lawrence Rager of Austin TX (US)|David Lawrence Rager of Austin TX (US)]][[Category:David Lawrence Rager of Austin TX (US)]]

[[:Category:Andrew Edward Brownsword of Bowen Island (CA)|Andrew Edward Brownsword of Bowen Island (CA)]][[Category:Andrew Edward Brownsword of Bowen Island (CA)]]

[[:Category:Guy Lewis Steele, Jr. of Lexington MA (US)|Guy Lewis Steele, Jr. of Lexington MA (US)]][[Category:Guy Lewis Steele, Jr. of Lexington MA (US)]]

==ENHANCED PROCESSING OF USER PROFILES USING DATA STRUCTURES SPECIALIZED FOR GRAPHICAL PROCESSING UNITS (GPUs) - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18515082 titled 'ENHANCED PROCESSING OF USER PROFILES USING DATA STRUCTURES SPECIALIZED FOR GRAPHICAL PROCESSING UNITS (GPUs)

==Simplified Explanation==

The patent application describes techniques for processing user profiles using specialized data structures for GPU processing. This involves evaluating user profile characteristics to determine whether to offload profiles to the GPU or process them locally with CPUs. One aspect involves comparing interest tags in user profiles with logic trees representing marketing campaigns to identify matching profiles.

* Specialized data structures for GPU processing
* Evaluating user profile characteristics for offloading to GPU or processing locally with CPUs
* Comparing interest tags in user profiles with logic trees for marketing campaign matching

== Potential Applications ==
The technology could be applied in various industries such as marketing, advertising, e-commerce, and social media platforms to optimize user profile processing and matching for targeted campaigns.

== Problems Solved ==
1. Efficient processing of user profiles using GPU capabilities
2. Improved matching of user profiles with marketing campaigns

== Benefits ==
1. Faster processing of user profiles
2. Enhanced targeting of marketing campaigns
3. Optimal resource utilization with GPU offloading

== Potential Commercial Applications ==
"Optimizing User Profile Processing for Targeted Marketing Campaigns"

== Possible Prior Art ==
There may be existing technologies or methods for processing user profiles using GPUs, but further research is needed to identify specific prior art in this area.

=== Unanswered Questions ===

=== How does this technology impact user privacy and data security? ===
The article does not address how the processing of user profiles using GPUs may affect user privacy and data security. It is essential to consider the implications of handling sensitive user data in this context.

=== What are the potential limitations or challenges of implementing this technology in real-world applications? ===
The article does not discuss any potential limitations or challenges that may arise when implementing this technology in practical settings. It is crucial to understand the practical implications and obstacles that may need to be overcome for successful deployment.


==Original Abstract Submitted==

Disclosed are techniques for processing user profiles using data structures that are specialized for processing by a GPU. More particularly, the disclosed techniques relate to systems and methods for evaluating characteristics of user profiles to determine whether to offload certain user profiles to the GPU for processing or to process the user profiles locally by one or more central processing units (CPUs). Processing user profiles may include comparing the interest tags included in the user profiles with logic trees, for example, logic trees representing marketing campaigns, to identify user profiles that match the campaigns.



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