Since the rapid development of Internet results in fast e-business growth, many large e-malls have been inaugurated (e.g., eBay, Yahoo, Amazon). E-mall attracts a lot of people to shop on the internet since of its convenience. Compared with traditional malls, the e-mall only provides the photos, specification, price, and other screen demonstrations. The consumers can not touch or feel the products before ordering it, as forces consumers to bear the risks before shopping. In the past researches, those study consider usefulness of the reviews, as we knew until now, there is no research focusing on topic-specific search engines for product reviews based on trustworthiness. Thus, this paper proposes the criteria to evaluate the trust degree of reviews, and then builds a search engine to collect the product reviews scattered in opinion websites, the result of search will sort by trust degree. We apply the Spearman’s rank correlation coefficient to evaluate the similarity between our method and experts. Compare with the opinion of experts, the Spearman’s rank correlation coefficient show a high correlation coefficient, it denotes our method is effective to find the trustworthy review on the internet. Thus, the consumers can browse the reviews with ease and reliability through our method.