Product information retrieval based on opinion mining

With the dramatically increase of E-commerce, product information gradually forms a massive scale. However, public search engine, such as Google, Baidu, can´t satisfy user´s need to search product information in recall ratio, especially accuracy ratio. As a result, the product information that user real needs can´t be searched and acquired quickly and easily, so user spends lots of time in eliminating the useless information. Product opinion mining, namely analyze the user´s opinion of products, can find out some of characteristics of the product itself and whether user is satisfied with the product characteristics. According to the description of product characteristics, we can draw some information which is fundamental to user´s concern and used them for reliable recommendation in product information retrieval.