Mining web multi-resolution community-based popularity for information retrieval

Popularity PageRank
DOI: 10.1145/1321440.1321517 Publication Date: 2007-11-30T14:39:06Z
ABSTRACT
The PageRank algorithm is used in Web information retrieval to calculate a single list of popularity scores for each page the Web. These are rank query results when presented user. By using structure entire one score per document, we calculating general score, not particular any community. Therefore, more suited queries. In this paper, introduce form PageRank, multi-resolution community-based scores, where document obtains dependent on given When related specific community, choose associated set and order accordingly. Using Web-community based achieved an 11% increase precision over PageRank.
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