Content aware citation recommendation system

Citation Recommendation is very interesting research area. Many algorithms and methods are proposed for better citation recommendation. Recently, the growth of information technology is high. So the digital libraries are there such as IEEE Xplore and ACM Digital library. The online publications of research papers and conferences are increasing day by day. This makes citation recommendation is a very challenging one. In this paper, propose a citation recommendation method that uses citation relations and similarity between many other papers. The basic method consists of recommend citations by cross references. If one paper is co-occurred in two or more citing papers, then they are similar to some extent. After that, these citing papers are pairwise compared with their contents to get similarities between them. Here, evaluate the proposed method in real word datasets such as IEEE journals.