Open AccessSBLWPR – SIMILARITY BASED LINK WEIGHT FOR PAGERANK CALCULATION
Author(s) -
S. Poomagal,
T. Hamsapriya
Publication year - 2011
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.10.3.754
Subject(s) - pagerank , ranking (information retrieval) , computer science , information retrieval , similarity (geometry) , link (geometry) , hits algorithm , link analysis , search engine , data mining , web page , precision and recall , index (typography) , web search engine , world wide web , web search query , artificial intelligence , image (mathematics) , computer network
Search engine retrieves list of web pages which are relevant to the given query from the index and sorts the list based on the page importance score. There are different ranking algorithms available in the literature to calculate the importance score of web pages. The basis of all ranking algorithms is the link structure of the web. In existing ranking algorithms, no weight is assigned to the links by considering the similarity among the linked documents. Since links from similar documents are more important than the links from other dissimilar documents, a new method is introduced to assign weight to each link based on the similarity among the linked documents. Calculated link weight is added with existing PageRank value to calculate final PageRank. Proposed technique is compared with existing ranking algorithms using the measures precision, recall and F-measure.