Presentation of an Extended Version of the PageRank Algorithm to Rank Web Pages Inspired by Ant Colony Algorithm
|
10.5120/14931-3357 |
Sara Setayesh, Ali Harounabadi and Amir Masoud Rahmani. Article: Presentation of an Extended Version of the PageRank Algorithm to Rank Web Pages Inspired by Ant Colony Algorithm. International Journal of Computer Applications 85(17):7-10, January 2014. Full text available. BibTeX
@article{key:article,
author = {Sara Setayesh and Ali Harounabadi and Amir Masoud Rahmani},
title = {Article: Presentation of an Extended Version of the PageRank Algorithm to Rank Web Pages Inspired by Ant Colony Algorithm},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {85},
number = {17},
pages = {7-10},
month = {January},
note = {Full text available}
}
Abstract
The general search engines represent various results in their lists, which is very time consuming to check. . One way to limit the search engine results is to use ranking pages algorithm in web. One of the most important ranking algorithms of web pages in the internet is known as "PageRank", which works on the web-graph structure. In this article, an extended version of the "PageRank" algorithm taking into consideration the degree of user interest in web pages and the ant colony algorithm is presented. Simulation results indicate that in the recommended algorithm ranks are closer to the real data; they produce more distinguished ranks, and have a less amount of errors.
References
- Mustapasa, O. , Karahoca, D. , Karahoca, A. , Yucel, A. , Uzunboylu, H. 2010. Implementation of semantic web mining on e-learning. in: proc. of Social and Behavioral Sciences, vol. 2, Issue 2, pp. 5820-5823.
- Page, L. , Brin, S. , Motwani, R. , Winograd, T. 1999. The PageRank Citation Ranking: Bringing Order to the Web. Technical Report. Stanford InfoLab.
- Brin, S. , Page, L. 1998. The Anatomy of a Large-Scale Hypertextual Web Search Engine. Proceedings of the 7th International World Wide Web Conference, pp. 107-117.
- Dinkar, S. K. , Kumar, H. 2012. Interaction Information Retrieval and Improved Page Rank Algorithm Based on Aceess Duration of Page. International Journal of Engineering Research & Technology (IJERT), vol. 1, pp. 1-5.
- Dorigo, M. , Maniezzo, V. , Colorni, A. 1996. Ant System:Optimization by a Colony of Cooperating Agent. IEEE, vol. 26, pp. 29-41.
- Xing, W. , Ghorbani, A. 2004. Weighted PageRank Algorithm. Proceedings of the Second Annual Conference on Communication Networks and Services Research (CNSR'04), IEEE, pp. 305- 314.
- Scarselli, F. , Liang Yong, S. , Gori, M. , Hagenbuchner, M. , Tsoi, A. C. , Maggini, M. 2005. Graph Neural Networks for Ranking Web Pages. International Conference on Web Intelligence. Proceedings. The 2005 IEEE/WIC/ACM, pp. 666- 672.
- Peng, Z. , Xiu, X. , Ming, Z. 2011. An Efficient Improved Strategy for the PageRank Algorithm. International Conference on Management and Service Science (MASS), IEEE, pp. 1-4.
- Khodadadian, E. , Ghasemzadeh, M. , Derhami, V. , Mirsoleimani, S. , A. 2012. A Novel Ranking Algorithm Based on Reinforcement Learning. The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012), IEEE, pp. 546-551.
- Keong, B. V. , Anthony, P. 2011. PageRank: A Modified Random Surfer Model. International Conference on IT in Asia (CITA), IEEE, pp. 1-6.
- Chong, T. 2010. A Kind of Algorithm For Page Ranking Based on Classified Tree In Search Engine. International Conference on Computer Application and System Modeling (ICCASM), IEEE, pp. 538-541.
- Kumar, G. , Duhan, N. , Sharma, A. K. 2011. Page Ranking Based on Number of Visits of Links of Web Page. International Conference on Computer & Communication Technology (ICCCT)-2011, IEEE, pp. 11-14.
- Tyagi, N. , Sharma, S. 2012. Weighted PageRank Algorithm Based on Number of Visits of Links of Web Page. International Journal of Soft Computing and Engineering (IJSCE), vol. 2, pp. 441- 446.
- Cooley, R. , Mobasher, R. , Srivastava, J. 1999. Data preparation for mining world wide web browsing patterns. Knowledge and Information Systems, vol. 1, pp. 5–32.
- Rashidi, S. F. , Harounabadi, A. , Abasidezfouli, M. 2012. Prediction of users' future requests using neural network. Management science letters (www. growingscience. com), vol. 2, pp. 2119-2124.