Abstract
People purchase things based on the online reviews. But the reviews may not be trusted always. Sometimes there may be false information about the product and this may lead to loss for the sales. Customers also take wrong decision for purchasing the things. So, a system is proposed in this paper to eliminate false reviews. The product reviews are compared here. Using network parameters and geo location, the system identifies the IP address for PC and browser ID for mobile OS of the false review. Also it directs the admin to remove the review if it is attempted many times. By comparing the reviews, the level of the product can be increased. With the key boards the model divides the positive and negative reviews.
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More From: IOP Conference Series: Materials Science and Engineering
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