领域相关自适应的PageRank算法搜索策略

Adaptive PageRank algorithm search strategy for specific topics

针对W eb链接结构模型的特点,提出了一种新的基于领域相关可自适应的PageRank算法。实验结果表明,改进后的算法有效节约了CPU资源,缩短了计算时间,同时较好地解决了主题漂移现象。

According to the features of Web links of structural model, a new adaptive PageRank algorithm search strategy for specific topics was proposed. Analysis and simulation results show that the improved algorithm can efficiently save CPU resources, reduce the calculating time, and better resolve the problem of topic-drift.