Preference Element Selectable Interactive Recommender System by Employing Collaborative Filtering

Mobile device has to provide more accurate and personalized information because of a small screen and a limited function of information retrieval. This paper presents a user-selectable recommender system that reflects user interests groups by employing collaborative filtering as a technique to provide useful information in a mobile environment. We form similar user groups by simultaneously considering users´ information with preferences and demographic characteristics. Then we construct list of recommenders by user´s selection. This means that we provide an interactive and flexible recommender list that considers user´s intention more actively, rather than unilaterally. Finally, we show the realization of a prototype that is based on iPhone.