Countering Web Spam of Link-based Ranking Based on Link Analysis

We propose a ranking algorithm to help search engine eliminate spam pages. On the basis of an initial blacklist containing a small set of identified spam pages, our algorithm evaluates a page from two aspects, namely spam tendency and the authority. In this way, pages with relatively high quality and low or even no spam tendency can get high ranks. In the experiment part, we tested the anti-spam performance of this algorithm based on 3537379 pages and 8456740 links. The result indicated the fact that, compared with PageRank, the anti-spam performance of our algorithm was considerably better enhanced.