Design of a recommender system for mobile tourism multimedia selection

Abstract

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.