Extraction of Product Information for Trustworthiness

Online market is helpful to the consumers and brings wealth of information. However, online market is also flooded with fake and shoddy products. Trustworthiness is a solution to solve these problems which is raised by the authors' laboratory. The model of trustworthiness evaluates the product in three dimensions, which are authenticity, reliability and credibility. But the data to analyze trustworthiness evaluation is mainly from manual import. Product Information Object is the organic whole of product information and product reviews. In this paper we simulate and show a compression between algorithms which can show the discrimination accordingly and proposed an algorithm which defines the trustworthiness of the product.