Wang B., Wang J., Sun X., Wang N., 2016, An Improved Shark-Search Algorithm for Agriculture Web Search Engine, Chemical Engineering Transactions, 51, 799-804.
An improved algorithm for agriculture web search engine based on Shark-Search is proposed. Aiming at deficiency of the traditional algorithm including the context of the anchor text and the trapping in local optimum, the new algorithm clusters the links between the different block of the web pages by the k-average algorithm. It randomly selects k texts as the mass of the original class. According to the average value of the text in the class, each text is assigned to the nearest class. By using the tunnel technique, the crawler can complete the search process. The range of the optimality has been expanding. It can get a globally optimal solution from locally optimal solutions. This algorithm is easy to implement and the computing speed can meet the business needs. The experiment indicates that the new algorithm can improved the performance in fetching the pages evidently.
