CFP last date
20 January 2025
Reseach Article

Data Mining in Web Search Engine Optimization and User Assisted Rank Results

by Minky Jindal, Nisha Kharb
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 8
Year of Publication: 2014
Authors: Minky Jindal, Nisha Kharb
10.5120/16611-6448

Minky Jindal, Nisha Kharb . Data Mining in Web Search Engine Optimization and User Assisted Rank Results. International Journal of Computer Applications. 95, 8 ( June 2014), 1-5. DOI=10.5120/16611-6448

@article{ 10.5120/16611-6448,
author = { Minky Jindal, Nisha Kharb },
title = { Data Mining in Web Search Engine Optimization and User Assisted Rank Results },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 8 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number8/16611-6448/ },
doi = { 10.5120/16611-6448 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:18:51.883738+05:30
%A Minky Jindal
%A Nisha Kharb
%T Data Mining in Web Search Engine Optimization and User Assisted Rank Results
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 8
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the fast moving world, the use of web is been increasing day by day so that the requirement of users relative to web search are also increasing. The content search over the web is one of the important research area comes under the web content mining. According to a traditional search engine, the search is based on the content based matching. But when some site is optimized under the SEO tools, such kind of search is not effective in all ways. The aim of this research is to design a user assisted, reliable, search based on the keyword based analysis ,to provide the user assisted ranked results so that user can select the priority links ,discard the spam links over the web and efficient search optimization model over the open web. The main objective of the work is to implement the work in user friendly environment and analysis of work under different parameters.

References
  1. Rajeev Motwani," Evolution of Page Popularity under Random Web Graph Models", PODS'06, June 26–28, 2006, Chicago, Illinois, USA. ACM 1-59593-318-2/06/0006.
  2. Ravi Kumar," Rank Quantization", WSDM'13, February 4–8, 2013, Rome, Italy,ACM 978-1-4503-1869-3/13/02.
  3. Paul Alexandru Chirita," Using ODP Metadata to Personalize Search", SIGIR'05, August 15–19, 2005, Salvador, Brazil. ACM 1-59593-034-5/05/0008.
  4. Ricardo BaezaYates,"Web PageRanking usingLink Attributes",WWW2004, May 17–22, 2004,NewYork, USA. ACM 1-58113-912-8/04/0005.
  5. Donjung Choi," An Approach to Use Query-related Web Context on Document Ranking", ICUIMC '11, February 21–23, 2011, Seoul, Korea. ACM 978-1-4503-0571-6.
  6. Zhou Hui, Qin Shigang, Liu Jinhua, Chen Jianli, "Study on Website Search Engine Optimization", International Conference on Computer Science and Service System, pp 930-933, 2012.
  7. Ping-Tsai Chung, "A Web Server Design Using Search Engine Optimization Techniques for Web Intelligence for Small Organizations", Proceedings of IEEE Conference, pp 1-6, 2013.
  8. Magdalini Eirinaki," Web Path Recommendations based on Page Ranking and Markov Models", WIDM'05, November 5, 2005, Bremen, Germany ACM 1-59593-194-5/05/0011.
  9. Martin Klein," Comparing the Performance of US College Football Teams in the Web and on the Field", HT'09, June 29–July 1, 2009, Torino, Italy. ACM 978-1-60558-486-7/09/06.
  10. JOHN B. KILLORAN, "How to Use Search Engine Optimization Techniques to Increase Website Visibility", IEEE TRANSACTIONS ON PROFESSIONAL COMMUNICATION, VOL. 56, NO. 1, pp 50-66, MARCH 2013.
  11. Chen Wang," Extracting Search-Focused Key N-Grams for Relevance Ranking in Web Search", WSDM'12, February 8–12, 2012, Seattle, Washington, USA. ACM 978-1-4503-0747-5/12/02.
  12. Bin Gao," Semi-Supervised Ranking on Very Large Graphs with Rich Metadata", KDD'11, August 21–24, 2011, San Diego, California, USA. ACM 978-1-4503-0813-7/11/08.
Index Terms

Computer Science
Information Sciences

Keywords

web pages data mining web mining extreme programming software tool.