STUDY ON RESEARCH PAPER RECOMMENDER SYSTEM

Authors

  • Pranali Manekar Computer Science And Engineering, SGBAU
  • Anjali Raut Computer Science And Engineering, SGBAU

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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Published

2019-05-01

How to Cite

Manekar, P. ., & Raut, A. . (2019). STUDY ON RESEARCH PAPER RECOMMENDER SYSTEM. International Journal of Technical Innovation in Modern Engineering & Science, 5(5), 123–126. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/2219