Natural language processing
EPEL-CACT is using a cognitive mobile app to give tourists a personalized, fully immersive tour of Lanzarote, using their own tastes and preferences as a guide. The app uses natural language processing to converse with the user and understand the intent behind the words. Learning from each interaction, the app offers individually tailored, location-based recommendations—pointing history buffs to museums, for example, or outdoor types to hiking trails.
Increased tourist satisfaction
EPEL-CACT is changing the tourist experience with a cognitive mobile app, developed by IBM Business Partner Red Skios S.A., that gives visitors a personalized tour of the island that is perfectly suited to their tastes and preferences. Using natural language processing (NLP) and speech-to-text capabilities, the app can converse with users and understand the meaning, intent and sentiment behind their words. Collecting these interactions in a central profile, the app starts to learn about the user, including personal interests, preferences, sightseeing style and more—gaining insights from both explicit and implicit intentions. The app then provides relevant recommendations for nearby attractions as tourists explore the island, pulling data from TripAdvisor and other social media sites, weather services, and geolocation devices that track their location. For example, if the visitor is interested in outdoor attractions, the system might recommend a nearby trail, suggest a mountain bike rental shop and find a popular local restaurant near the end of the trail, with the ability to book reservations centrally. Or, in the case of rain, the app might offer an indoor venue that matches the user’s interests, such as a museum. The system learns from every interaction; therefore, the more a specific tourist uses the app, the more accurate the recommendations become.