Fuzzy analytic hierarchy process applied in product reputation research through reviews, ratings and big data analysis

Number of comments praised: “helpful votes” in the title, replaced by the number of comments praised for comments, easier to understand. The reputation of a product largely depends on word of mouth from consumers. With the development of the Internet, online rating reviews have gradually replaced offline communications. Consumers can obtain comprehensive information about related products from the Internet, product ratings and good Of reviews can lead other potential consumers to make rational purchases. However, the ratings and comments on the Internet are not completely credible, the society is developing rapidly, and the quality of reviews is uneven. Therefore, a review voting mechanism was introduced. The more votes received, the more authentic and credible the review. In order to predict the development trend of new products, we measure the quality of products by researching the ratings and reviews of similar competitive products.