Abstract
We are developing a system which assists users by collaboration between the users and environment. Our collaboration system provides services according to user behavior proactively in homes when environment detects high-level user behavior such as “leaving the home”. To realize such a collaboration system, this paper proposes a method for detecting high-level user behavior. The proposed method dynamically sets values suitable for individual behavioral pattern of each user to thresholds used for detection. A conventional method determines threshold values common to all users. However, the common values are not always suitable for all users. Our method determines threshold values suitable for a user by utilizing data of other users whose characteristics are similar to the user, with collaborative filtering.
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Yamahara, H., Harada, F., Takada, H., Shimakawa, H. (2008). Personalizing Threshold Values on Behavior Detection with Collaborative Filtering. In: Sandnes, F.E., Zhang, Y., Rong, C., Yang, L.T., Ma, J. (eds) Ubiquitous Intelligence and Computing. UIC 2008. Lecture Notes in Computer Science, vol 5061. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69293-5_33
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DOI: https://doi.org/10.1007/978-3-540-69293-5_33
Publisher Name: Springer, Berlin, Heidelberg
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