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IJSTR >> Volume 8 - Issue 8, August 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Quantify The Reviewer Genunity Based On Behavior Metrics And Past Trust Analysis

[Full Text]



Pankaj Chaudhary, Dr. Anurag Aeron, Dr. Sandeep Vijay



Past trust analysis, behavior matrix, customer priority, deviation rate, bias rate, review similarity rate, review quality, relevance, content length, illustration, burst rate.



Internet has become easily accessible now days due to exponential growth of mobile and data networks. Smart phones have become easily accessible to a large number of people. This has made social networking an integral part of human life. People are sharing their comments and reviews on the forum or portal about their views and experiences. Even in taking the final decisions about the brand selections for best hotels, people are gradually depending on the previous online reviews. In such scenario, some companies may indulge themselves in generating the fake reviews with wrong intentions to create the positive or negative hype about the particular products. It may mislead the customers and decision makers. Several individual theories have been proposed by the researchers for fake review detection approaches, but effective integrated implementation is still underway. In this paper, some specific parameters are proposed to develop a robust model for identifying fake reviews and fake reviewers based on behavior matrix and past trust analysis. Although this work is specifically proposed for helping customers in selection of the best hotels by analyzing the previous online reviews, and help in concluding the right decision based on Location, Security, Price, Quality, Ambiance etc. Yet the something similar model may be designed after minor modifications for taking right decision in selecting the best colleges, best products etc.



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