DocumentCode :
3722234
Title :
A survey: hyperlink analysis in webpage ranking algorithms
Author :
Deepak Kumar Ganeshiya;Dilip Kumar Sharma
Author_Institution :
Department of CEA G.L.A. University Mathura, India
fYear :
2014
Firstpage :
1
Lastpage :
8
Abstract :
World Wide Web is the collection of web pages which are linked to each other directly or indirectly. Through these hyperlinks among webpages, web graph is created by following these hyperlinks. In the field of webpage ranking, hyperlink analysis is used in most of the researches. Hyperlink analysis is the approach to analyze various resources around the hyperlink in the webpage. In hyperlink analysis, there are various resources or parameters are used which affect the webpage ranking, these are number of inlinks and outlinks, anchor text, anchor-related text, etc. Different researchers use these parameters in their research alone or in combination. This paper provides a survey on hyperlink analysis in the webpage ranking algorithms. In this paper classification of webpage ranking algorithms is also given based on different parameters and web mining techniques.
Keywords :
"Web pages","Algorithm design and analysis","Classification algorithms","Web mining","World Wide Web","Internet","Search engines"
Publisher :
ieee
Conference_Titel :
Soft Computing Techniques for Engineering and Technology (ICSCTET), 2014 International Conference on
Type :
conf
DOI :
10.1109/ICSCTET.2015.7371192
Filename :
7371192
Link To Document :
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