18598843. CONTEXTUAL SEARCH TOOL IN A BROWSER INTERFACE simplified abstract (Google LLC)

CONTEXTUAL SEARCH TOOL IN A BROWSER INTERFACE

Organization Name

Google LLC

Inventor(s)

Yana Yushkina of Seattle WA (US)

Carlos Augusto Marin Capriles of Venice CA (US)

Gabrielle Chung of Santa Clara CA (US)

John Oliver Por of San Francisco CA (US)

Tarun Bansal of Bellevue WA (US)

Greg Duman Schechter of Los Angeles CA (US)

Allison Stanfield of Beaverton OR (US)

Anudeep Palanki of Sammamish WA (US)

Michael Blair Crouse of Seattle WA (US)

Frank Goodman of San Francisco CA (US)

Thomas Lukaszewicz of Manly (AU)

Timothy Sohn of Los Altos CA (US)

Wilson Shih-Wei Sun of Shoreline WA (US)

Juan Alberto Mojica of Alhambra CA (US)

Duncan Andres Mercer of Orange CA (US)

Justin Gabriel Donnelly of Westlake Village CA (US)

[[:Category:Leonardo Jesus Pe�a of Marina Del Rey CA (US)|Leonardo Jesus Pe�a of Marina Del Rey CA (US)]][[Category:Leonardo Jesus Pe�a of Marina Del Rey CA (US)]]

Jason Xia Hu of Santa Monica CA (US)

Lilyana Simeonova Mihalkova of Los Angeles CA (US)

Ji Young Lee of Sunnyvale CA (US)

Gabriel Mintzer Bender of Mountain View CA (US)

Behzad Golshan of Los Altos CA (US)

Bhavesh Sethi of Mountain View CA (US)

CONTEXTUAL SEARCH TOOL IN A BROWSER INTERFACE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18598843 titled 'CONTEXTUAL SEARCH TOOL IN A BROWSER INTERFACE

The browser-based tool described in the patent application provides context-based assistance during web browsing by offering relevant suggestions based on the content being viewed.

• The method involves receiving a contextual search request related to the main content displayed in the browser, extracting content from the main content, receiving a contextual suggestion based on the extracted content, and displaying the suggestion in a designated area within the browser.
• This innovative approach streamlines the search process for users, improving efficiency in navigating online information.
• By providing suggestions based on the content currently being viewed, users can quickly access relevant information without the need for extensive searching.
• The tool enhances the browsing experience by offering timely and contextually appropriate suggestions to users.
• This technology has the potential to revolutionize how users interact with online content, making browsing more efficient and productive.

Potential Applications: This technology can be applied to various industries such as e-commerce, research, and content curation platforms to enhance user experience and streamline information retrieval processes.

Problems Solved: This technology addresses the issue of users having to manually search for relevant information while browsing the web, saving time and effort in finding relevant content.

Benefits: The benefits of this technology include improved efficiency in information retrieval, enhanced user experience, and increased productivity during web browsing sessions.

Commercial Applications: This technology can be utilized by web browsers, search engines, and content platforms to offer users context-based suggestions, improving user engagement and satisfaction.

Questions about the technology: 1. How does this technology differ from traditional search engines in providing context-based assistance? 2. What are the potential privacy implications of extracting content from the main content displayed in the browser for providing suggestions?

Original Abstract Submitted

A browser-based tool is disclosed for providing context-based assistance during web browsing. An example method involves receiving a contextual search request pertaining to main content displayed in a browser's display area, extracting content from the main content, receiving a contextual suggestion based on the extracted content, and displaying the contextual suggestion in a designated contextual search area within the browser. This innovative approach streamlines the search process by providing users with relevant suggestions based on the content they are currently viewing, thereby improving efficiency in navigating online information.