Design of a recommender system for mobile tourism multimedia selection

Applications that deliver multimedia content to and display such content on mobile devices have become increasingly common in recent years. When faced with a large amount of content, unfamiliar users can make use of each otherspsila recommendations, through recommender systems, to find content of interest to them. As a case in point we present the design of a recommender system that can be used by tourists to request a travel itinerary, and subsequently browse multimedia content for each recommended tourist spot. The techniques combined in our recommender system include genetic algorithms and fuzzy logic. Recommendations are chosen to match a user profile based on a userpsilas personal preferences. Our system design has wide applicability in multimedia systems where the user requires assistance in content selection.