STUDY ON RESEARCH PAPER RECOMMENDER SYSTEM
Pranali Manekar
Computer Science And Engineering, SGBAU , IN
Anjali Raut
Computer Science And Engineering, SGBAU , IN
Keywords: Clustering, Mutually reinforced model, personalized citation recommendation, three-layered interactive clustering, Collaborative filtering, Tokenization.
Abstract
Research article plays a vital role in developing a knowledge which is helpful in the analysis. There are many reference papers already made by researchers. To search an appropriate research paper is a tedious task. The traditional approach is focused on keyword-based searches to obtain a list of papers. And it requires researchers to review papers for selection as a reference paper. This is a time-consuming approach; this new technique is efficient and has a great demand in the processing of papers. To make it possible citation recommendation is used with mutual reinforcement on three layers. Each paper is considered as a vertex of the paper layer, author layer, and venue layer. To improve citation recommendation clustering is used with three strategies.
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