Google llc (20240346316). RECOMMENDING A DOCUMENT FOR A USER TO ACCESS simplified abstract

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 20240346316 titled 'RECOMMENDING A DOCUMENT FOR A USER TO ACCESS

The abstract of the patent application describes a system where a user device can request a set of documents likely to be opened by a user, receive suggestions from a server on documents to open, and present visual representations of these documents on the user device's display.

• User device can request a set of documents likely to be opened by the user
• Server suggests documents for the user to open based on potential motives
• Visual representations of suggested documents and potential motives are displayed on the user device
• System aims to increase user engagement with the suggested documents
• Enhances user experience by providing relevant content suggestions

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

Problems Solved: - Helping users discover relevant content - Increasing user interaction with suggested documents - Enhancing user experience on digital platforms

Benefits: - Improved user engagement - Personalized content recommendations - Enhanced user experience on digital devices

Commercial Applications: Title: Enhanced Content Recommendation System for Digital Platforms This technology can be used in digital marketing, e-commerce platforms, online publishing, and social media to improve user engagement and drive conversions.

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

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

Questions about the technology: 1. How does the system determine potential motives for the user to open suggested documents? 2. What are the key factors considered when selecting documents to suggest to 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.