18280740. System And Method For Personalized Banner Placement simplified abstract (Google LLC)
Contents
System And Method For Personalized Banner Placement
Organization Name
Inventor(s)
Dongeek Shin of San Jose CA (US)
System And Method For Personalized Banner Placement - A simplified explanation of the abstract
This abstract first appeared for US patent application 18280740 titled 'System And Method For Personalized Banner Placement
The present disclosure involves determining personalized banner placement in relation to content based on probabilistic spatial user engagement. This is achieved by analyzing user input signals, types of content, or a combination of both to identify regions on a page where banners can be placed for maximum user engagement and minimal disruption of the content.
- The innovation involves using probabilistic spatial user engagement to optimize banner placement on web pages.
- User input signals and types of content are analyzed to determine the best locations for banner placement.
- The technology aims to enhance user engagement with banners while minimizing disruption to the content.
- By identifying optimal banner placement, the innovation can improve the effectiveness of online advertising.
- The system can dynamically adjust banner placement based on user behavior and content interaction.
Potential Applications: This technology can be applied in digital marketing, online advertising, content monetization, and website optimization.
Problems Solved: - Inefficient banner placement that leads to low user engagement. - Disruption of content flow due to poorly positioned banners. - Lack of personalized advertising strategies based on user behavior.
Benefits: - Increased user engagement with banners. - Improved effectiveness of online advertising campaigns. - Enhanced user experience by minimizing disruption to content. - Higher click-through rates and conversion rates for banner ads.
Commercial Applications: Optimizing banner placement for e-commerce websites, news portals, blogs, and other online platforms can lead to higher revenue generation through improved advertising performance.
Questions about Personalized Banner Placement: 1. How does probabilistic spatial user engagement impact banner placement optimization? 2. What are the key factors considered when determining the best locations for banner placement?
Frequently Updated Research: Stay updated on the latest advancements in personalized banner placement algorithms and user engagement metrics to continually enhance the effectiveness of online advertising strategies.
Original Abstract Submitted
The present disclosure provides for determining personalized banner placement in relation to content based on probabilistic spatial user engagement. The probabilistic spatial user engagement can be determined based on user input signals, types of content, or a combination of user input signals and types of content. Such determination may be used to identify regions of a page displaying the content where banners may be rendered for maximum user engagement and minimal disruption of the content.
