18495558. Search Suggestions Based on Native Application History simplified abstract (GOOGLE LLC)
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 18495558 titled 'Search Suggestions Based on Native Application History
Simplified Explanation
This patent application describes 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
- Integration with multiple native applications on a user device
- Enhancing user experience by providing relevant search suggestions
- Streamlining the search process for users
- Personalized search suggestions based on individual user behavior
Potential Applications
This technology can be applied in:
- Mobile devices
- Web browsers
- E-commerce platforms
- Social media applications
- Productivity tools
Problems Solved
- Tedious manual search entry process
- Lack of personalized search suggestions
- Inefficient search results based on generic queries
- Limited integration of search suggestions across multiple applications
- Difficulty in accessing relevant information quickly
Benefits
- Improved user experience
- Time-saving search process
- Enhanced productivity
- Personalized search suggestions
- Increased efficiency in finding relevant information
Commercial Applications
This technology can be utilized in various commercial sectors such as:
- Digital marketing
- E-commerce
- Mobile app development
- Search engine optimization
- Data analytics
Questions about the Technology
1. How does this technology improve user search experience?
This technology enhances user search experience by automatically generating personalized search suggestions based on history data from multiple native applications on a user device.
2. What are the potential applications of this technology beyond user devices?
This technology can also be applied in web browsers, e-commerce platforms, social media applications, and productivity tools to provide enhanced search suggestions for users.
Original Abstract Submitted
Methods, systems, and apparatus, for automatically generating search suggestions based on history data for multiple native application on a user device.
