Personalization of LBS using Recommender Systems Based on Collaborative Filtering
Hyeong-Joon Kwon, Kwang‐Seok Hong · Journal of Internet Computing and services · 2010
While a supply of GPS-enabled smartphone is increased, LBS whic h is studied and developed for special function is changed to personal solution. In this paper, we propose and implement on personalized method of individual LBS using collaborative filtering-based recommend system. Proposed personalized LBS system recommends contents which is expected to be interest for individual user, by predicting location-based contents within a user's setting radius. To evaluate performance of proposed system, we observed prediction accuracy with various experiment al condition using our prototype. As a result, we confirmed that the convergence of collaborative filtering and LBS is effective for personalized LBS.