Nowadays, recommender systems have become one of the main tools and methods for users to search for their interested papers from massive candidates. Considering the above drawbacks, in this paper, we propose a link prediction approach that combines time, keywords and authors information for constructing a new relation graph. Finally, a case study is employed to explain our approach step by step and demonstrate the feasibility of our proposal.