The Research of Marine Information Clustering Algorithm Based on User-Browsing Path and Associated Query

摘要

With the enrichment of Marine information on the Internet, the users find that it is hard to find the knowledge they need when they face with a deluge of Marine information resources, they wish to acquire marine information data rapidly which is integrated and desirable. Recently, researchers have been committed to solve these problems with the Web Clustering Mining, according to the user's access action, looking for patterns of behavior or retrieval of users with similar interests. Aiming at the deficiency in the current problem of calculating similarity between users based on user sessions. This paper proposes an algorithm to use associated queries about query logs as the compensation characteristics to measure the similarity between users, combined with user-browsing path algorithm to clustering the user data. The experimental results of the algorithm have a good reference value for users of personalized service and promote the development of marine information.