Google llc (20240346055). Search Suggestions Based on Native Application History simplified abstract
Contents
- 1 Search Suggestions Based on Native Application History
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Search Suggestions Based on Native Application History - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
Search Suggestions Based on Native Application History
Organization Name
Inventor(s)
Ulas Kirazci of Mountain View CA (US)
Othar Hansson of Sunnyvale CA (US)
Search Suggestions Based on Native Application History - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346055 titled 'Search Suggestions Based on Native Application History
Simplified Explanation
This patent application discusses methods, systems, and apparatus for automatically generating search suggestions based on history data for multiple native applications on a user device.
Key Features and Innovation
- Automatic generation of search suggestions based on history data
- Support for multiple native applications on a user device
- Enhancing user experience by providing relevant search suggestions
- Utilizing historical data to personalize search suggestions
- Improving search efficiency and accuracy for users
Potential Applications
This technology can be applied in various fields such as:
- Mobile applications
- E-commerce platforms
- Social media networks
- Search engines
- Productivity tools
Problems Solved
This technology addresses the following issues:
- Lack of personalized search suggestions
- Inefficient search processes
- Limited search accuracy
- Difficulty in finding relevant information
- User frustration with search results
Benefits
The benefits of this technology include:
- Enhanced user experience
- Improved search efficiency
- Personalized search suggestions
- Increased user satisfaction
- Higher search accuracy
Commercial Applications
- This technology can be utilized by mobile app developers to enhance user engagement and retention.
- E-commerce platforms can integrate this technology to improve product discovery and increase sales.
- Search engine companies can implement this technology to provide more relevant search results and attract more users.
Questions about the Technology
1. How does this technology improve user search experience?
This technology enhances the user search experience by automatically generating personalized search suggestions based on history data, leading to more efficient and accurate search results.
2. What are the potential applications of this technology beyond user devices?
This technology can be applied in various industries such as e-commerce, social media, and productivity tools to enhance search processes and improve user satisfaction.
Original Abstract Submitted
methods, systems, and apparatus, for automatically generating search suggestions based on history data for multiple native application on a user device.
