Context-Aware Recommender Systems Using Data Mining Techniques

Kyoung-Jae Kim, Hyunchul Ahn, Sangwon Jeong
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
more » ... pply them to the proposed model to validate its effectiveness. Experimental results show that the proposed system makes more accurate and satisfactory advertisements than comparative systems.
doi:10.5281/zenodo.1070733 fatcat:yumj5wd76zf7rkgcdzfpz5a7i4