Kyoung-jae Kim and Hyunchul Ahn and Sangwon Jeong
Contextaware Recommender Systems using Data Mining Techniques
381 - 386
2010
4
4
International Journal of Industrial and Manufacturing Engineering
https://publications.waset.org/pdf/8353
https://publications.waset.org/vol/40
World Academy of Science, Engineering and Technology
This study proposes a novel recommender system to
provide the advertisements of contextaware 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 users needs type. In
particular, we employ a classification rule to understand users needs
type using a decision tree algorithm. In addition, we collect primary
data from the mobile phone users and apply 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.
Open Science Index 40, 2010