DocumentCode
3422596
Title
An improvement of PageRank algorithm based on the time-activity-curve
Author
Wan, Ling ; Bai, Si-Xue
Author_Institution
Dept. of Comput. Sci. & Technol., Nanchang Univ., Nanchang, China
fYear
2009
fDate
17-19 Aug. 2009
Firstpage
549
Lastpage
552
Abstract
We analyze the advantages and disadvantages of the traditional PageRank algorithm first and find it is unreasonable to calculate the important degree of Web pages simply by links between Web pages. Through studying the changing regulations of some typical time-activity-curve of Web sources based on the time characteristics of information, we give the calculation method for the time important degree of Web pages using sub-curve fitting. Combined with the traditional PageRank algorithm, the Web pages ranking method has some advanced improvement.
Keywords
Internet; curve fitting; data mining; PageRank algorithm; Web pages; sub-curve fitting; time-activity-curve; Algorithm design and analysis; Curve fitting; Damping; Decision making; Encyclopedias; Information analysis; Information processing; Iterative algorithms; Web mining; Web pages; PageRank; Time-activity; Web structure mining; curve fitting;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-4830-2
Type
conf
DOI
10.1109/GRC.2009.5255060
Filename
5255060
Link To Document