基于用户兴趣的PageRank算法改进策略

随着互联网海量信息的不断涌现，根据用户的兴趣提供相关查询结果，是现有搜索引擎要考虑的一个问题，PageRank算法是基于链接的排序算法，已在Google搜索引擎广泛应用，但其忽略了用户个性化需求。采用网页预分类技术，来表示用户查询的兴趣度，进一步提出改进传统的PageRank算法，从而能适当提高用户在使用搜索引擎方面的个性化需求。

The PageRank algorithm based on user interest improvement strategy

along with the growing emergence of huge amounts of information, Internet provide related query results based on their interests and is existing search engine to consider a problem, PageRank algorithm is based on the links to sorting algorithm, which have been extensively used in Google＇s search engine, but it ignores the user personalized needs. Web page classification techniques, are used to indicate the user interest degree of the query, further improve traditional PageRank algorithm, which can raise the personalized needs of users in the use of search engine.