Abstract
There is huge potential to predict hidden social ties between different people sharing common area of interest or common friends. This paper presents data analysis on social network data for target advertising of the automobiles. The interrelated groups are derived from client's interaction data in social networks. Based on these cohesive subgroups, the likelihood of client's preference of a product category is inferred. Using this information, we construct a targeted advertising system. The experimental results on the social network dataset yields better quality of advertisement.
