JETIREXPLORE- Search Thousands of research papers



Published in:

Volume 7 Issue 3
March-2020
eISSN: 2349-5162

Unique Identifier

JETIR2003279

Page Number

1950-1954

Share This Article


Title

Recommendation System using Keyword Extraction Based on User Profile

ISSN

2349-5162

Cite This Article

"Recommendation System using Keyword Extraction Based on User Profile", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.1950-1954, March-2020, Available :http://www.jetir.org/papers/JETIR2003279.pdf

Abstract

: In this paper, we proposed PRPRS (Personalized Research Paper Recommendation System) that designed expansively and implemented a User Profile-based algorithm for extracting keyword by keyword extraction and keyword inference. If the papers don't have keyword section, we consider the title and text as an argument of keyword and execute the algorithm. Then, we create the possible combination from each word of title. We extract the combinations presented in the main text among the longest word combinations which include the same words. If the number of extracted combinations is more than the standard number, we used that combination as keyword. Otherwise, we refer the main text and extract combination as much as standard in order of high Term-Frequency. Whenever collected research papers by topic are selected, a renewal of User Profile increases the frequency of each Domain, Topic and keyword. Each ratio of occurrence is recalculated and reflected on User Profile. PRPRS calculates the similarity between given topic and collected papers by using Cosine Similarity which is used to recommend initial paper for each topic in Information retrieval. We measured satisfaction and accuracy for each system-recommended paper to test and evaluated performances of the suggested system. Finally PRPRS represents high level of satisfaction and accuracy.

Key Words

Recommendation System, Personalization, User Profile

Cite This Article

"Recommendation System using Keyword Extraction Based on User Profile", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp1950-1954, March-2020, Available at : http://www.jetir.org/papers/JETIR2003279.pdf

Publication Details

Published Paper ID: JETIR2003279
Registration ID: 229669
Published In: Volume 7 | Issue 3 | Year March-2020
DOI (Digital Object Identifier):
Page No: 1950-1954
ISSN Number: 2349-5162

Download Paper

Preview Article

Download Paper




Cite This Article

"Recommendation System using Keyword Extraction Based on User Profile", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp1950-1954, March-2020, Available at : http://www.jetir.org/papers/JETIR2003279.pdf




Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

00019

Print This Page

Current Call For Paper