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Recommender systems, which have emerged in response to the problem of information overload, provide users with recommendations of content suited to their needs. To provide proper recommendations to users, personalized recommender systems require accurate user models of characteristics, preferences and needs. In this study, we propose a collaborative(More)
Location-Based Service (LBS) is considered as a key component of upcoming ubiquitous environments. A recommendation system based on LBS is expected to be an important service in ubiquitous environments , and most hardware technologies such as location estimation of a user by using Global Positioning System (GPS), as well as hi-speed internet access through(More)
This paper proposes a collaborative filtering method with user-created tags focusing on changes of web content and internet services. Collabo-rative tagging is employed as an approach in order to grasp and filter users' preferences for items. In addition, we explore several advantages of collabora-tive tagging for future searching and information sharing(More)