Preference Element Selectable Interactive Recommender System by Employing Collaborative Filtering
Jung-Min Oh, Ju-Hong Song, Nammee Moon · 2010
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.