Recommendation using user context based on Web and sensor information

在2008财年，我使用从Web获得的信息和传感器信息对用户偏好和上下文进行建模。我们在多个国际期刊和会议上发表了我们的研究成果，包括IEEE、普适计算和UMAP。在2009财年，我开发了基于用户偏好、时间/空间信息和用户上下文的推荐方法。我们的论文荣获FIT2009年度最佳论文。利用所开发的方法，我们在MEXT的大信息航程项目的框架内为城镇游客提供了支持服务。

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.