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RECOMMENDATION SYSTEM USING CORRELATION COEFFICIENT

Dhruti Pandya , Reshma Dayma
Computer Engineering Department, LDCE, Ahmadabad, Gujarat, India, India
Vol. 4, Issue 4 pp. 819-823 🌐 Open Access

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.

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

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Vol. 9 | Issue 12 | December