RECOMMENDATION SYSTEM USING CORRELATION COEFFICIENT

Authors

  • Dhruti Pandya Computer Engineering Department, LDCE, Ahmadabad, Gujarat, India
  • Reshma Dayma Assistant Professor in Computer Engineering Department, LDCE, Ahmadabad, Gujarat, India

Keywords:

Knowledge discovery, Cosine similarity, Recommendation, User reviews, Sentiment analysis

Abstract

Nowadays, over 200 million of people connected with the World Wide Web. These people used to
accomplish their daily essentiality through internet. However, for each item explosion of option available which create
difficulty for individual user to choose most appropriate one. The aim of proposed method is to make recommendation
of movie from the movie dataset based on the reviews given by the other users in accurate and fastest manner for that
sentiment analysis and cosine similarity measure is used. At last precision, recall, F-measure and accuracy will be
calculated.

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Published

2017-04-25

How to Cite

Dhruti Pandya, & Reshma Dayma. (2017). RECOMMENDATION SYSTEM USING CORRELATION COEFFICIENT. International Journal of Advance Research in Engineering, Science & Technology, 4(4), 819–823. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1329

Issue

Vol. 4 No. 4 (2017): Volume: 04, Issue: 04 - April, 2017.

Section

Articles