18756665. RECOMMENDING A DOCUMENT FOR A USER TO ACCESS simplified abstract (GOOGLE LLC)

RECOMMENDING A DOCUMENT FOR A USER TO ACCESS

Organization Name

GOOGLE LLC

Inventor(s)

Sandeep Tata of San Francisco CA (US)

Julian Gibbons of Cremorne (AU)

Divanshu Garg of Pyrmont (AU)

Alexandre Mah of Epping (AU)

Alan Green of East Maitland (AU)

Cayden Meyer of Forest Lodge (AU)

Michael Smith of Gladesville (AU)

Reuben Kan of Carlingford (AU)

Alexandrin Popescul of San Francisco CA (US)

RECOMMENDING A DOCUMENT FOR A USER TO ACCESS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18756665 titled 'RECOMMENDING A DOCUMENT FOR A USER TO ACCESS

The abstract describes a system where a user device can request a set of documents likely to be opened by the user, receive a suggestion message from a server with potential motives for opening the documents, and present visual representations of the suggested documents and motives on the user device's display.

• User device can request documents likely to be opened by the user
• Server sends suggestion message with potential motives for opening the documents
• Visual representations of suggested documents and motives are displayed on the user device
• System aims to increase user engagement with the suggested documents
• Potential motives provided to encourage user interaction with the documents

Potential Applications: - Content recommendation systems - Personalized marketing strategies - User engagement optimization tools

Problems Solved: - Enhancing user interaction with suggested content - Improving user experience on the device - Increasing document open rates

Benefits: - Higher user engagement with recommended content - Improved user satisfaction with the device - Enhanced document open rates and user interaction

Commercial Applications: Title: "Enhancing User Engagement with Recommended Content" This technology can be used in various industries such as e-commerce, digital marketing, and content delivery platforms to increase user interaction with suggested documents and improve overall user experience.

Prior Art: Researchers can explore prior art related to content recommendation systems, personalized marketing strategies, and user engagement optimization tools to understand the existing technologies in this field.

Frequently Updated Research: Researchers can stay updated on advancements in content recommendation systems, user engagement strategies, and personalized marketing tools to enhance the effectiveness of this technology.

Questions about the technology: 1. How does this system determine the potential motives for the user to open suggested documents? 2. What are the key factors considered when selecting the set of documents likely to be opened by the user?

Original Abstract Submitted

A user device can send, to a server, a request for a set of documents likely to be opened by a user, determine a client-suggested document to present to the user and a potential motive for the user to open the client-suggested document, receive a suggestion message from the server, the suggestion message including a set of documents likely to be opened by the user and potential motives for the user to open documents in the set of documents, and present, on a display of the user device, visual representations of the client-suggested document, the potential motive for the user to open the client-suggested document, multiple documents included in the set of documents, and the potential motives for the user to open the multiple documents in the set of documents.