Undue influence
Baoning Wu, Brian D. Davison · 2006
Link farm spam and replicated pages can greatly deteriorate link-based ranking algorithms such as HITS. In order to identify and neutralize link farm spam and replicated pages, we look for sufficient material copied from one page to another. In particular, we focus on the use of to distinguish link targets by the anchor text used. We build and analyze the bipartite graph of documents and their complete hyperlinks to find pages that share anchor text and link targets. Link farms and replicated pages are identified in this process, permitting the influence of problematic links to be reduced in a weighted adjacency matrix. Experiments and user evaluations show significant improvement in the quality of results produced using HITS-like methods.