HITS is an algorithm for web search that builds on the eigenvector-based methods used in algorithms and served as the full scale model for PageRank by recognizing that web pages or sites should be considered important not only if they are linked to by many others (as in PageRank), but also if they link to many others.
According to Borker, each bad review boosts his site's PageRank, meaning that the site comes top of Google's ratings for many of the products he sells.
PageRank |