A Conceptual Framework of Adaptive Mobile POI Recommendations

Many mobile applications that recommend attractive and customized POIs are often not adaptive enough for users who are actively traveling. Although almost all mobile applications and one concept of the mobile recommendation system have been able to adapt to users, in fact, the findings prove that this is only a small effort that mostly focuses on capturing user behavior during tourism activities. Instead, the Adaptive Mobile Recommendation System (AMRS) is proposed by carrying out all possible configurations that can improve adaptability in mobile applications. Furthermore, the AMRS was built as a new concept based on the Adaptive Tourist Recommendation System (ATRS) concept that was proposed in the past. AMRS takes advantage of the travel cycle and the concept of experiential learning as an unlimited effort of adaptivity that can be applied in a real way using the structure of the recommendation system.