期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：3
页码：3085-3088
出版社：TechScience Publications
摘要：Page importance information has a direct influence on web search effectiveness because if a useful page gets lower page importance value, it will be absent or ranked very low in search results. Still there has been little work on measuring this effect. In this paper, the author observed mechanical method of calculating page importance through PageRank formula. The standard PageRank formula is then compared with its two variations named weighted PageRank(WPR) and TrustRank(TR). The Weighted Personalised PageRank(WPPR), a combination of WPR and TR, is introduced in this paper. The mathematically calculated results show that WPPR performs faster and efficient than its ancestors in terms of retrieving more relevant pages earlier
关键词：Standard PageRank; Web Graph; Random Link;Convergence
