Apple inc. (20240211893). INTELLIGENT APPOINTMENT SUGGESTIONS simplified abstract
Contents
INTELLIGENT APPOINTMENT SUGGESTIONS
Organization Name
Inventor(s)
Tiffany S. Jon of Cupertino CA (US)
Stephen O. Lemay of Palo Alto CA (US)
Lawrence Y. Yang of Bellevue WA (US)
INTELLIGENT APPOINTMENT SUGGESTIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240211893 titled 'INTELLIGENT APPOINTMENT SUGGESTIONS
The abstract describes a method for automatically generating appointments for an electronic calendar based on past appointments stored in the calendar.
- The method receives input to create a new appointment and analyzes previous appointments to propose a new appointment with shared characteristics.
- Text input describing a characteristic of the new appointment can be used to search through past appointments.
- The innovation aims to streamline the appointment scheduling process by leveraging past data to suggest relevant appointments.
Potential Applications: - Efficient scheduling for individuals with busy calendars - Streamlining appointment booking processes for businesses and organizations
Problems Solved: - Reducing the time and effort required to schedule appointments - Ensuring that new appointments align with past preferences and patterns
Benefits: - Increased productivity through automated appointment generation - Improved accuracy in scheduling based on past data analysis
Commercial Applications: Automated appointment scheduling software for businesses in various industries, including healthcare, education, and professional services.
Questions about the technology: 1. How does the method ensure the privacy and security of past appointment data? 2. Can the method adapt to changing preferences and patterns over time?
Frequently Updated Research: Stay updated on advancements in artificial intelligence and machine learning algorithms for improving appointment scheduling efficiency.
Original Abstract Submitted
some embodiments provide a method for automatically generating an appointment for an electronic calendar. the method receives input to create a new appointment for the calendar. the method analyzes several previous appointments stored for the first calendar. based on the analysis, the method automatically proposes a new appointment that has at least one appointment characteristic shared with at least one past appointment stored for the calendar. in some embodiments, the method receives text input describing a characteristic of the new appointment, and searches through the previous appointments using the text input.
