Concept-Based Approach for Research Paper Recommendation

Abstract

Research Paper Recommender Systems are developed to deal with the increasing amount of published information over web and provide recommendations for research articles based on the user preferences. Researchers invest their huge time in literature search to carry out the research work. To provide ease in building literature and finding useful research articles in less time, a novel concept-based recommendation approach is proposed that represents research article in terms of its concept or semantics, used to recommend conceptually related papers (based on the higher relevance of concepts) to researchers. This paper provides a brief overview of popular algorithms and previous systems developed to solve the problem of information explosion. Then, discuss the proposed approach with implementation details and a comparative analysis is presented between the proposed approach and baseline method.