LINK-BASED SPAM ALGORITHMS IN ADVERSARIAL INFORMATION RETRIEVAL

Web spam has become one of the most exciting challenges and threats to web search engines. The relationship between the search systems and those who try to manipulate them came up with the field of adversarial information retrieval. In this article, we set up several experiments to compare HostRank and TrustRank to show how effective it is for TrustRank to combat web spam, and we report a comparison on different link-based web spam detection algorithms.     

搜索引擎综合分析

随着互联网的广泛应用,搜索引擎成为了越来越多的用户从海量信息中获取知识必不可少的工具.说明了搜索引擎当前发展的现状,简述了搜索引擎的分类,基本原理和工作机制,重点分析了搜索引擎的检索技术及页面排序方法,最后介绍了搜索引擎面临的挑战和未来发展趋势.     

Efficient Methodologies to Determine the Relevancy of Hanging Pages Using Stability Analysis

This article presents an algorithm to determine the relevancy of hanging pages in the link-structure-based ranking algorithms. Recently, hanging pages have become major obstacles in web information retrieval (IR). As an increasing number of meaningful hanging pages appear on the Web, their relevancy has to be determined according to the query term in order to make the search engine result pages fair and relevant. Exclusion of these pages in ranking calculation can give biased/inconsistent results, but inclusion of these pages will reduce the speed significantly. Most of the IR ranking algorithms exclude the hanging pages. But there are relevant and important hanging pages on the Web, and they cannot be ignored. In our proposed method, we use anchor text to determine the hanging relevancy, and we use stability analysis to show that rank results are consistent before and after altering the link structure.