Personalized Search Based on Hybrid Clustering Algorithms

Search engines have become the main tools of information retrieval, but failing to reflect the userpsilas true interest. Research on personalized information retrieval has become an important topic. Clustering technique is very important to improve search results.This paper proposed A novel personalized search method which is based on density and hierarchical, and this method fully considered the user interest. On the basis of lucene and Nutch, Experiments show that it can improve clustering results and search precision for users.