We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Article:An Effective Method for Ranking of Changed Web Pages in Incremental Crawler

by Arvind Kumar, Km. Pooja
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 8 - Number 7
Year of Publication: 2010
Authors: Arvind Kumar, Km. Pooja
10.5120/1219-1760

Arvind Kumar, Km. Pooja . Article:An Effective Method for Ranking of Changed Web Pages in Incremental Crawler. International Journal of Computer Applications. 8, 7 ( October 2010), 38-41. DOI=10.5120/1219-1760

@article{ 10.5120/1219-1760,
author = { Arvind Kumar, Km. Pooja },
title = { Article:An Effective Method for Ranking of Changed Web Pages in Incremental Crawler },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 8 },
number = { 7 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 38-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume8/number7/1219-1760/ },
doi = { 10.5120/1219-1760 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:56:51.039115+05:30
%A Arvind Kumar
%A Km. Pooja
%T Article:An Effective Method for Ranking of Changed Web Pages in Incremental Crawler
%J International Journal of Computer Applications
%@ 0975-8887
%V 8
%N 7
%P 38-41
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The World Wide Web is a global, large repository of text documents, images, multimedia and much other information, referred to as information resources. A large amount of new information is posted on the Web every day. Web Crawler is a program, which fetches information from the World Wide Web in an automated manner. The crawler keeps visiting pages after the collection reaches its target size, to incrementally update/refresh the local collection. By this incremental update, the crawler refreshes existing pages and replaces less-important pages with new and more-important pages. Incremental web search requires a much smaller amount of data processing of the web. There is a problem in searching new information from the web in incremental web search to evaluate ranking of changed web pages. We developed an effective solution to this problem. In order to evaluate ranking of changed web pages. An Integrated ranking framework combining three metrics: Popularity Ranking, Content-based Ranking and Evolution Ranking which produce good Ranking for the changed web Pages.

References
  1. Cho, J. Ntoulas, A. and Olston, C. In Proc. 13th International World Wide Web Conference, 2004. What’s new on the web? : the evolution of the web from a search engine perspective.
  2. Cho, J. and Roy, S. In Proc.13th International World Wide Web Conference, 2004. Impact of search engines on page popularity.
  3. Wang, Z. In Proc.5th International Conference of Web Age Information Management, 2004. Improved link-based algorithms for ranking web pages.
  4. Fretterly, D., Manasse, M., Najork, M. and Wiener, J. In Proc. 12th International World Wide Web Conference, 2003. A large-scale study of the evolution of web pages.
  5. Edwards, J., McCurley, Kevin S. and John A. In Proceedings of the Tenth Conference on World Hong Kong, May 2001. An adaptive model for optimizing performance of an incremental web crawler.
  6. Brewington, Brian. , Bharat, Krishna. , Cybenko, George., Maghoul, Farzin. , and Stata, Raymie. In Proceedings of the Ninth Conference on World Wide Web Amsterdam, Netherlands, May 2000. How dynamic is the web?
  7. Cho, J. and Garcia-Molina, H. In Proc. 26th International Conference on Very Large Data Bases, 2000. The evolution of the web and implications for an incremental crawler.
  8. Brewington, B. and Cybenko, G. IEEE Computer, 33(5), 2000. Keeping up with the changine web.
  9. Dean, J. and Henzinger, M. In Proceedings of the 8th International World Wide Web Conference (WWW8), 1999, “Finding related pages in the world wide web.
  10. Fred Douglis, Anja Feldmann, and Balachander Krishnamurthy, 1999.Rate of change and other metrics: a live study of the world wide web.
  11. Cho, J., Garcia-Molina, H. and Page, L. In Proc. 7th International World Wide Web Conference, 1998. Efficient crawling through URL ordering.
  12. Page, L. (1998). The Page Rank Citation Ranking: Bringing Order to the Web.
Index Terms

Computer Science
Information Sciences

Keywords

Popularity Ranking Content-based Ranking Evolution Ranking Integrated Ranking

Powered by PhDFocusTM