Ruth Ema Febita

A Smart Tourism and Culinary Itinerary Recommender Based on User Preferences and Time Constraints in Banyuwangi, Indonesia

Tourism development in many regions requires intelligent systems capable of guiding visitors to destinations that match their preferences and available resources. This study proposes a novel Travel Recommendation System (TRS) capable of automatically generating integrated tourism and culinary itineraries while consider...