AMRec: An Intelligent System for Academic Method Recommendation
This addresses the difficulty new researchers face in selecting methods due to lack of experience, though it appears incremental as it applies existing recommendation techniques to a new domain.
The authors tackled the problem of helping researchers find appropriate academic methods for their research problems by developing AMRec, a recommendation system that extracts concepts from literature and uses regularized matrix factorization, with preliminary evaluation showing effectiveness.
Finding new academic Methods for research problems is the key task in a researcher's research career. It is usually very difficult for new researchers to find good Methods for their research problems since they lack of research experiences. In order to help researchers carry out their researches in a more convenient way, we describe a novel recommendation system called AMRec to recommend new academic Methods for research problems in this paper. Our proposed system first extracts academic concepts (Tasks and Methods) and their relations from academic literatures, and then leverages the regularized matrix factorization Method for academic Method recommendation. Preliminary evaluation results verify the effectiveness of our proposed system.