Created by Geodelic, in partnership with T-Mobile, Sherpa is a local discovery application that learns a user’s favorite types of locations and preferences over time. The more it’s used, the more it customizes itself to the user’s taste, learning their likes and dislikes so it can prioritize recommended and relevant local retailers, restaurants and attractions.
By combining a user’s location and interests, with other contextual information such as time of day, Sherpa aggregates and presents contextually relevant, location-based information about the “real world” that surrounds a user at any moment.
Sherpa uses a learning engine called GENIE (Geodelic ENgine for Interest Evaluation) that automatically learns a user’s favorite locations and lifestyle behavior. If a user eats out more than they shop, it modifies itself and tailors the experience to begin showing more restaurants and less retail stores. So no matter where a person goes, whether they are traveling or exploring their neighborhood, Sherpa prioritizes recommended locations and presents them to users.
Just as a browser allows Internet users to surf the web, the Geodelic application serves as a “geobrowser” for users allowing them to browse the “real world” through an interface optimized for a mobile experience. Geodelic’s advanced technology searches the web, gathering the best public and proprietary information from sites like Yelp!, MenuPages, City Search, and a large number of specialized sources to supply the most complete content based on users’ location and interests. The application’s learning capability allows it to then automatically organize a user’s environment by what is most important to them.