Abstract: In recent years,the development of the search engine and the sorting algorithm is updating fast.But the recom-mending system,which cannot provide valuable keywords in the past,is barely evolved.Our project is specialized in order to solve this problem.This project goes from word to document,and from document to cluster,then from cluster to the word which is to be returned.It realized the K-means clustering algorithm and the TFIDF weight algorithm with Java.Users can find not only the web pages including the specific keyword,but also the most valuable keyword recommended which is to help them finding information related.

Key words: Search engine,Cluster,Keyword,Recommending