Product Review Analysis with Ranking System Based on Transaction ID and OTP |
Author(s): |
| Jayashree K , Dhanalakshmi college of engineering; Gayathri H, Dhanalakshmi college of engineering; Mrs. S.Geetha Rani |
Keywords: |
| Reviews, Netflix, OTP, SVM |
Abstract |
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This system aims at product ranking by analyzing the reviews. Feedbacks are accepted only from the customers who purchased the products. This will improve the customer trust on feedbacks. SVM is used for analyzing the reviews. The prior research has reported that stability is implemented using iterative smoothing and bootstrap aggregation (bagging) approach. This paper focuses on improving the stability along with the customer trust. Customer trust is the desired property of recommendation system. This is done by authentication of OTP using Random key generation algorithm. |
Other Details |
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Paper ID: IJSRDV4I20134 Published in: Volume : 4, Issue : 2 Publication Date: 01/05/2016 Page(s): 108-109 |
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