Abstract
The recommender system that offers useful information to the users becomes more important in ubiquitous computing. Context-aware recommender systems are a core component in ubiquitous application. Because of the greater number of contexts, the total amount of information is larger in multicontext-aware environments. Multicontext therefore requires a more efficient recommendation method. We propose an attention-based information composition for multicontext-aware recommendation. We explain that the recommendation process would be comprised of three steps. Our proposed method is capable of recommending accurately and rapidly.
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© 2006 Springer-Verlag Berlin Heidelberg
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Kim, S., Kwon, J. (2006). Attention-Based Information Composition for Multicontext-Aware Recommendation in Ubiquitous Computing. In: Havinga, P., Lijding, M., Meratnia, N., Wegdam, M. (eds) Smart Sensing and Context. EuroSSC 2006. Lecture Notes in Computer Science, vol 4272. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11907503_19
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DOI: https://doi.org/10.1007/11907503_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47842-3
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