DocumentCode :
1631501
Title :
Pagerank algorithm improvement by page relevance measurement
Author :
Yen, Chia-Chen ; Hsu, Jih-Shih
Author_Institution :
Dept. of Inf. Manage., Nat. Yunlin Univ. of Sci. & Technol., Yunlin, Taiwan
fYear :
2009
Firstpage :
502
Lastpage :
506
Abstract :
Pagerank algorithm evaluates the importance of web pages by the link analysis, and there are many techniques to improve the traditional pagerank algorithm to prevent from the biases of link spamming in recent years. The modified algorithms should concern not only the correctness, but also the efficiency should be considered. This paper proposes an associated pagerank algorithm for search engines to feedback quality results by scoring the relevance between web documents. The modified Pagerank algorithm increases the degree of relevance than the original one, and decreases the query time efforts of topicsensitive pagerank.
Keywords :
Web sites; document handling; information analysis; search engines; Pagerank; Web pages; link analysis; link spamming; page relevance measurement; query time; search engines; Algorithm design and analysis; Damping; Feedback; Information analysis; Information management; Information retrieval; Search engines; Voting; Web pages; Web search; document relevance; information retrieval; pagerank; topic-sensitive; web search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
ISSN :
1098-7584
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2009.5277414
Filename :
5277414
Link To Document :
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