Academic Recommender Systems, Status, Challenges and Opportunities

Recommender Systems (RS) have been developed to provide machine produced recommendations to help and facilitate individuals' everyday life. A number of different modern application fields take advantage of RS. One of these fields is related to academic publications. Academic RS could assist authors and researchers locate publications useful for the fields they work on, decide which publication venues could be appropriate for submitting their manuscripts, find appropriate collaborators, reviewers, or interested readers for a specific paper, etc. In this paper, we aim to thoroughly describe advances in Academic RS and underline existing challenges, highlight the degree up to which these challenges have been confronted with until now and discuss related future work directions and opportunities.