The RBS algorithm is a novel link-based algorithm for ranking results of a search engine. RBS may be viewed as an extension of PageRank by a parameterized ``back button'' modeling. RBS is based on the ``random surfer with back step'' model [7] similarly as PageRank is based on the simpler ``random surfer'' model [4]. To scale to real Web RBS computes merely a fast probabilistic approximation of the ranking induced by the ``random surfer with back step'' model [6].
CITATION STYLE
Sydow, M. (2006). Approximation Quality of the RBS Ranking Algorithm. In Intelligent Information Processing and Web Mining (pp. 289–296). Springer-Verlag. https://doi.org/10.1007/3-540-32392-9_30
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