Recommendation using user context based on Web and sensor information

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During fiscal year 2008, I worked on modeling user preferences and contexts using the information obtained from the Web and sensor information. We presented our research results in several international journals and conferences including IEEE Pervasive computing and UMAP. During fiscal year 2009, I developed the recommendation method based on user preference, time/space information, and user context. Our paper was awarded the best paper in FIT2009. Using the developed method, we provided a service to support town visitors in the frame work of the MEXT's grand information voyage project.