With the development of Web2.0, more and more user-generated content (UGC) occur in Web applications. These contents, especially reviews, are opinion-rich and play important roles in e-commerce. According to the Cone's survey published in 2011, 64% of users like to read the related reviews on goods before they make purchase decisions. It is vital to provide users the accurate, succinct and true reviews. This work surveys the research progresses on quality evaluation and control of reviews focusing on the prediction, summarization and spam review detection. At the end, some potential research topics are pointed out based on these analyses.