Abstract--In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. In cases where a dataset has multipl...
Consumers seek for trusted advice during buying decision. Brand owners and retailers invest large sums in marketing and market research, trying hard to find out what customers real...
In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content itself, we infer the l...
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
The procedures to collect information about users are well known in computer science till long time. They range from getting explicit information from users, required in order to ...