CALA: A Web Analysis Algorithm Combined with Content Correlation Analysis Method

Web hyperlink structure analysis algorithm plays asignificant role in improving the precision of Web informationretrieval. Current link algorithms employ iteration function to computethe Web resource weight. The major drawback of this approach is thatevery Web document has a fixed rank which is independent of the Webqueries. This paper proposes an improved algorithm that ranks thequality and the relevance of a page according to the user querydynamically. The experiments show an improvement to the current linkanalysis algorithm.