Filtering Ineffective Product Reviews in Electronic Commerce Website

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Excessive product reviews bring much inconvenient for users to obtain information. It will waste a lot of time, and these spam reviews will occupy much data traffic. Paper focuses on the design a fast filtering algorithm to filter out spam based on content and text length, only leave useful reviews to readers. It can help users to quickly view the more valuable and useful product reviews information, help users understand product information, and facilitate electronic transactions.

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2759-2762

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September 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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