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Context-Aware Recommender Systems Using Data Mining Techniques
2010
Zenodo
This study proposes a novel recommender system to provide the advertisements of context-aware services. Our proposed model is designed to apply a modified collaborative filtering (CF) algorithm with regard to the several dimensions for the personalization of mobile devices – location, time and the user-s needs type. In particular, we employ a classification rule to understand user-s needs type using a decision tree algorithm. In addition, we collect primary data from the mobile phone users and
doi:10.5281/zenodo.1070733
fatcat:yumj5wd76zf7rkgcdzfpz5a7i4