Google llc (20240104150). Presenting Related Content while Browsing and Searching Content simplified abstract
Presenting Related Content while Browsing and Searching Content
Organization Name
Inventor(s)
Srikanth Jalasutram of San Francisco CA (US)
Jia Sin Lua of San Mateo CA (US)
Damon Chizuru Kawamoto of Santa Cruz CA (US)
Jeffrey Allen Shaffer of Portland OR (US)
Jacob Francis Contreras of San Francisco CA (US)
Maurice Kenji Clarke of Oakland CA (US)
Ryan Michael Henbest of San Francisco CA (US)
Chengcheng Wang of Menlo Park CA (US)
Presenting Related Content while Browsing and Searching Content - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104150 titled 'Presenting Related Content while Browsing and Searching Content
Simplified Explanation
The abstract describes systems and methods for presenting an interface for suggesting additional content based on the displayed content. The interface includes viewing windows for the displayed content and snippets of associated additional content.
- Obtaining data descriptive of the displayed content
- Determining additional content associated with the displayed content
- Providing an interface displaying data associated with the displayed content and additional content
- Including a first viewing window for a portion of the displayed content and a second viewing window for a snippet of the additional content
Potential Applications
This technology could be applied in streaming services to suggest related content to users based on what they are currently watching. It could also be used in e-commerce platforms to recommend products related to the ones being viewed.
Problems Solved
This technology helps users discover new content or products that are related to what they are currently interested in, enhancing their overall experience and potentially increasing engagement and sales.
Benefits
The interface provides a seamless way for users to explore additional content without having to actively search for it. This can lead to increased user satisfaction and potentially higher retention rates.
Potential Commercial Applications
Potential commercial applications of this technology include video streaming platforms, online retailers, news websites, and social media platforms looking to enhance user engagement and drive more interactions.
Possible Prior Art
One possible prior art could be the recommendation systems used by various online platforms to suggest content or products based on user preferences and behavior. These systems may use algorithms to analyze user data and provide personalized recommendations.
Original Abstract Submitted
systems and methods for presenting an interface for additional content suggestion can include obtaining data descriptive of the displayed content and determining additional content associated with the displayed content. an interface can then be provided that displays data associated with the displayed content and the additional content. the interface can include a first viewing window for displaying a portion of the displayed content and a second viewing window for displaying a snippet associated with the additional content.
- Google llc
- Srikanth Jalasutram of San Francisco CA (US)
- Jia Sin Lua of San Mateo CA (US)
- Damon Chizuru Kawamoto of Santa Cruz CA (US)
- Jeffrey Allen Shaffer of Portland OR (US)
- Jacob Francis Contreras of San Francisco CA (US)
- Maurice Kenji Clarke of Oakland CA (US)
- Ryan Michael Henbest of San Francisco CA (US)
- Chengcheng Wang of Menlo Park CA (US)
- G06F16/9535
- G06F16/955
- G06F16/957