Fab: content-based, collaborative recommendation
Communications of the ACM
Siteseer: personalized navigation for the Web
Communications of the ACM
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Challenges in Location-Aware Computing
IEEE Pervasive Computing
Personalized ubiquitous commerce: an application perspective
Designing personalized user experiences in eCommerce
Automatic Identification of Informative Sections of Web Pages
IEEE Transactions on Knowledge and Data Engineering
Digital Content Recommender on the Internet
IEEE Intelligent Systems
Overview of the MPEG-7 standard
IEEE Transactions on Circuits and Systems for Video Technology
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In the area of electronic commerce, the personalized goods recommendation system is a very important research issue that raises user satisfaction, and increases loyalty towards the content provider. For this, the correct analysis of user preferences is essential, and most existing researches use a purchase history or a wish list. However, due to the rapid development of information technologies, commerce has progressed from e-commerce to U(Ubiquitous)-commerce. In the ubiquitous environment, computing devices of various types, including the mobile device itself, exist in user space; in addition, a broad range of information related to user preferences is generated while using these devices. Hence, if the information is efficiently managed, a more effective recommendation strategy will be established. This paper proposes a multi-agent based U-commerce system to efficiently collect and manage diverse context information that can occur in the ubiquitous environment. Therefore, a more personalized recommendation, which is reflected by various user preferences, is possible. A prototype was implemented in order to evaluate the proposed system, then, through results, the existing recommendation method is compared and the effectiveness of the system is confirmed.