Collaborative Blog Spam Filtering Using Adaptive Percolation Search

Seungyeop Han, Yong-yeol Ahn, Sue Moon and Hawoong Jeong

We propose a novel collaborative ¯ltering method for link spams on blogs. The key idea is to rely on manual identification of spams and share this information about spams through a network of trust. The blogger who has identified a spam tells a small number of fellow bloggers (content implantation), and those who have not heard about it start a search using an adaptive percolation search, combined with content implantation, they contract the information about identified spam in only a fraction of the query period time without producing large volume of traffic.

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