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State of Art Different Web-Page Ranking Approaches

by Bhushan Thakare, Rohan Rawlani, Sahil Pathak, Dipali Salve, Ritesh Natekar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 13
Year of Publication: 2015
Authors: Bhushan Thakare, Rohan Rawlani, Sahil Pathak, Dipali Salve, Ritesh Natekar
10.5120/20036-1589

Bhushan Thakare, Rohan Rawlani, Sahil Pathak, Dipali Salve, Ritesh Natekar . State of Art Different Web-Page Ranking Approaches. International Journal of Computer Applications. 114, 13 ( March 2015), 6-8. DOI=10.5120/20036-1589

@article{ 10.5120/20036-1589,
author = { Bhushan Thakare, Rohan Rawlani, Sahil Pathak, Dipali Salve, Ritesh Natekar },
title = { State of Art Different Web-Page Ranking Approaches },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 13 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number13/20036-1589/ },
doi = { 10.5120/20036-1589 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:52:38.867115+05:30
%A Bhushan Thakare
%A Rohan Rawlani
%A Sahil Pathak
%A Dipali Salve
%A Ritesh Natekar
%T State of Art Different Web-Page Ranking Approaches
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 13
%P 6-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The internet engines like Google will be the tools which in turn allow you in order to understand along with speedily look for solutions. The present search for e. g. Google doesn't think about user needs and wants. Keys are associated with search engine optimization and search engines use it according to the user's dilemma. The particular PageRank formulas can be used inside the search engines search engine optimization in order to status listings. With these cardstock examination present page position algorithms, strategies are usually presented plus comparability among these is usually carried out.

References
  1. Yongbin Qin, Daoyun Xu," A Balanced Rank Algorithm Based On PageRank and Page Belief Recommendation".
  2. Wenpu Xing, Ali Ghobrani,"Weighted PageRank Algorithm". IEEE, 2004.
  3. C. Ding, X. He, P. Husbands, H. Zha, H. Simon, "Link Analysis: Hubs and Authorities On The Web", 2001.
  4. TIANG Chong,"A Kind Of Algorithm for Page Ranking Based on Classified Tree in Search Engine". IEEE.
  5. Harmunish Taneja and Richa Gupta. " Web Information Retrieval Using Query Independent Page Rank Algorithm". IEEE, 978-0-7695-4058-0, 2010.
  6. Jaroslav Pokorny, Jozef Smizansky,"Page Content Rank: An Approach to Web Content Mining. "
  7. Sweahh Liang Yong,Markus Hagenbuchner and Ah Chung Tsoi. "Ranking Web Pages Using Machine Learning Approach". IEEE, 978-0-7695-3496-1,2008.
  8. Dung B. Le and Sunita Prasad," TS-LocalRank: A Topic Similarity Local Ranking Algorithm For Re-ranking Web Search Results". IEEE, 978-1-4244-5139-5.
  9. Xia Feifei and Zhang Guangnian," Design and Implementation of a Java Based Search Engine Algorithm Analysis System". IEEE, 978-4244-3521-0.
  10. Weiguang Xu, YafeiZhang, Jianjiang Lu and Zhenghui Xie," A Framework Of Web Image Search Engine". IEEE,978-0-7695-3615-6.
Index Terms

Computer Science
Information Sciences

Keywords

Page ranking Search engine optimization indexing re-ranking.

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