Abstract: The traditional RSS reader receives a large amount of redundant information. The object of the study is to provide an intelligent reader to solve the problem. The paper proposes an intelligent RSS reader based on Fisheries Science Data Platform. The key intelligent techniques applied in the paper include VSM (Vector Space Model), Chinese word segmentation and object persistence techniques. According to the RSS reader experiment, the effectiveness of filtering is 86.2% and the accuracy of filtering is 82.4%. The result proves that the reader can effectively filter out the irrelevant information. The results of application show that, implementation intelligent RSS reader of fisheries science data allows users to obtain more accurate information.