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Although the conventional ubiquitous home service provides services using the information of environments obtained by the analysis of sensors, it shows a lack of user information. If recommendation services are able to use the past item selection information related to the context information of users, individualized services would be achieved. Also, it is possible to solve a specialization tendency...
An item recommendation service provides an item list by considering the circumstance and desire of users without any limitations in time and location. However, the recommendation systems used in the past are unable to satisfy user desires because these systems only reply to the results of consider static information. This paper attempts to design a recommendation agent system (RAS) that is suited...
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