Google llc (20240303692). System And Method For Personalized Banner Placement simplified abstract
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 20240303692 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 involves analyzing user input signals, types of content, or a combination of both to identify regions of a page where banners can be placed for maximum user engagement and minimal disruption of the content.
- User input signals and types of content are used to determine probabilistic spatial user engagement.
- Regions of a page displaying content are identified for optimal banner placement.
- The goal is to maximize user engagement while minimizing disruption of the content.
Potential Applications: - Online advertising platforms - Content management systems - E-commerce websites
Problems Solved: - Enhancing user engagement with banners - Improving the effectiveness of online advertising - Balancing content and advertising placement
Benefits: - Increased user interaction with banners - Higher click-through rates for advertisers - Improved user experience on websites
Commercial Applications: - Digital marketing agencies can use this technology to optimize banner placement for their clients, leading to higher conversion rates and ROI.
Questions about personalized banner placement technology: 1. How does this technology impact user experience on websites?
This technology aims to enhance user engagement with banners while minimizing disruption to the content, ultimately improving the overall user experience.
2. What are the key factors considered in determining personalized banner placement?
Factors such as user input signals, types of content, and probabilistic spatial user engagement are taken into account to identify optimal regions for banner placement.
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.
