Snap inc. (20240334155). LOCATION BASED TEMPORAL RECOMMENDATIONS simplified abstract
Contents
LOCATION BASED TEMPORAL RECOMMENDATIONS
Organization Name
Inventor(s)
Alexander Farivar of Santa Monica CA (US)
Christopher Shughrue of Canaan NY (US)
Sushant Wason of San Francisco CA (US)
LOCATION BASED TEMPORAL RECOMMENDATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240334155 titled 'LOCATION BASED TEMPORAL RECOMMENDATIONS
The patent application describes a system that retrieves a network graph of users associated with a first user, derives user locations over time, determines the most visited location for each user, and displays a visual representation of the most visited location on a client device.
- The system includes hardware processors and memory storing instructions for performing operations related to user location data.
- It retrieves a network graph of users and their associations with a first user via a server.
- User locations are derived over a period of time for each user in the network graph.
- The system determines the most visited location based on the set of user locations for each user.
- A visual representation of the most visited location is displayed on the client device.
Potential Applications: - Location-based services - Social networking platforms - Personalized recommendations - Targeted advertising - Urban planning and development
Problems Solved: - Efficiently analyzing user location data - Providing personalized location-based information - Enhancing user experience with relevant content - Improving location-based services and recommendations
Benefits: - Personalized user experiences - Targeted advertising opportunities - Enhanced user engagement - Improved data analysis and insights - Efficient resource allocation based on user preferences
Commercial Applications: Title: Location-Based Personalization Technology for Enhanced User Experiences This technology can be utilized in various industries such as social media, e-commerce, travel, and advertising to provide personalized and targeted content to users, leading to increased engagement and customer satisfaction.
Questions about Location-Based Personalization Technology: 1. How does the system ensure user privacy while collecting and analyzing location data? 2. What measures are in place to prevent misuse of user location information?
Frequently Updated Research: Researchers are constantly exploring new algorithms and techniques to improve the accuracy and efficiency of deriving user locations and providing personalized recommendations based on this data. Stay updated on the latest advancements in location-based personalization technology to enhance user experiences and drive business growth.
Original Abstract Submitted
a system includes one or more hardware processors and at least one memory storing instructions that cause the one or more hardware processors to perform operations including retrieving, via a server, a network graph of a plurality of users associated with a first user of a client device, and for each user in the plurality of users, deriving a set of user locations through a period in time. the instructions further include deriving a most visited location based on the set of user locations of each user, and displaying, on a display of the client device, a visual representation of the most visited location.
