7th International Conference on Mobile Data Management (MDM'06) (2006)
May 10, 2006 to May 12, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MDM.2006.72
Ghim-Eng Yap , Nanyang Technological University, Singapore
Ah-Hwee Tan , Nanyang Technological University, Singapore
Hwee-Hwa Pang , Singapore Management University
Mobile context-aware recommender systems face unique challenges in acquiring context. Resource limitations make minimizing context acquisition a practical need, while the uncertainty inherent to the mobile environment makes missing context values a major concern. This paper introduces a scalable mechanism based on Bayesian network learning in a tiered context model to overcome both of these challenges. Extensive experiments on a restaurant recommender system showed that our mechanism can accurately discover causal dependencies among context, thereby enabling the effective identification of the minimal set of important context for a specific user and task, as well as providing highly accurate recommendations even when context values are missing.
Ghim-Eng Yap, Ah-Hwee Tan, Hwee-Hwa Pang, "Discovering Causal Dependencies in Mobile Context-Aware Recommenders", 7th International Conference on Mobile Data Management (MDM'06), vol. 00, no. , pp. 4, 2006, doi:10.1109/MDM.2006.72