• Pranali Manekar
• Anjali Raut

Research papers are increasing rapidly as the number of researchers’ increases in academics field. As the research papers are present in huge amount, it is very difficult to search appropriate research paper according to search query. To solve this issue, the propose work includes citation search engine and recommendation system in which any student/researcher can search research paper and get recommended reference papers along with matching papers. To improve performance of the searching the propose work includes k-means clustering algorithm to form documents clusters. It also considers reference paper recommendation by using user defined algorithm. Along with papers searching and reference papers recommendation, the paper will be recommended in the model in which we will consider collaborative, profile wise and preferences wise citation recommendation techniques will be consider.

Clustering, citation recommendation, Collaborative Recommendation, Tokenization, K-means clustering, Data Mining

"REVIEW ON RESEARCH PAPER RECOMMENDATION USING CLUSTERING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.418-423, May-2019, Available :http://www.jetir.org/papers/JETIR1905D61.pdf

"REVIEW ON RESEARCH PAPER RECOMMENDATION USING CLUSTERING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp418-423, May-2019, Available at : http://www.jetir.org/papers/JETIR1905D61.pdf