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To improve the quality and timeliness of TV program recommendations, a recommendation system that uses life log data such as browsing histories on WEB, locations visited, operation history of consumer electronics, and personal scheduler on PC is proposed. A subjective experiment shows that life log data is effective in improving the quality of program recommendations.
In this paper, we propose a life logger integrated with a remote controller, which is a personal device. It uses several sensors to collect the history of the user's control of consumer appliances as well as his/her actions, stores all data in real time before sending it to PCs or servers, and is small enough to carry at all times. The aim of data integration is to acquire the user's context from...
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