International Journal of Soft Computing

Year: 2017
Volume: 12
Issue: 4
Page No. 280 - 286

A Hybrid Usage-Based Ranking for Enhancing Arabic Search Engines

Authors : Safaa I. Hajeer, Rasha M. Ismail, Nagwa L. Badr and M.F. Tolba

References

Anonymous, 2015. Internet world stats: Usage and population statistics. Miniwatts Marketing Group, USA. http://www.internetworldstats.com/stats.htm.

Arafat, S. and S. Saad, 2008. An affix removal stemming algorithm for Arabic language. Int. J. Intell. Comput. Inf. Syst., 8: 141-153.

Dilekh, T. and A. Behloul, 2012. Implementation of a new hybrid method for stemming of Arabic text. Int. J. Comput. Appl., 46: 14-19.

Ding, C., C.H. Chi and T. Luo, 2002. An improved usage-based ranking. Proceedings of the International Conference on Web-Age Information Management, August 11-13, 2002, Springer Berlin Heidelberg, Berlin, Germany, ISBN: 978-3-540-44045-1, pp: 346-353.

Hajeer, S., 2012. Vector space model: Comparison between euclidean distance and cosine measure on Arabic documents. Int. J. Eng. Res. Appl., 2: 2085-2090.

Hajeer, S.I., 2012. Comparison on the effectiveness of different statistical similarity measures. Int. J. Comput. Appl., 53: 14-19.
Direct Link  |  

Hajeer, S.I., R.M. Ismail, N.L. Badr and M.F. Tolba, 2015. An efficient hybrid usage-based ranking model for information retrieval systems & web search Engine. Proceedings of the 6th International Conference on Information and Communication Systems (ICICS), April 7-9, 2015, IEEE, Amman, Jordan, ISBN:978-1-4799-7349-1, pp: 142-147.

Hajjar, M., K. Zreik and A. Al-Hajjar, 2010. The search engine performance in the Arabic language. Proceedings of the International Conference on Society for Information Technology & Teacher Education, March 29, 2010, AACE, Chesapeake, Virginia, ISBN:978-1-880094-78-5, pp: 2239-2245.

Jain, R. and D.G. Purohit, 2011. Page ranking algorithms for web mining. Int. J. Comput. Appl., 13: 22-25.
Direct Link  |  

Jiang, X.M., W.G. Song and H.J. Zeng, 2005. Applying Associative Relationship on the Clickthrough Data to Improve Web Search. In: Advances in Information Retrieval. David, E. and M. Juan (Eds.). Springer, Berlin Heidelberg, Germany, ISBN: 978-3-540-25295-5, pp: 475-486.

Kritikopoulos, A., M. Sideri and I. Varlamis, 2007. Success index: Measuring the efficiency of search engines using implicit user feedback. Proceedings of the 11th Conference on Pan-Hellenic on Informatics, Special Session on Web Search and Mining, May 18-20, 2007, Athens University of Economics and Business, Greece, pp: 1-14.

Lebbos, G., K. Zreik and M. El-Sayed, 2014. Performances of the most popular search engines in Arabic language. Intl. J. Comput. Theory Eng., 6: 4-8.
Direct Link  |  

Liu, Y., T.Y. Liu, B. Gao, Z. Ma and H. Li, 2010. A framework to compute page importance based on user behaviors. Inf. Retrieval, 13: 22-45.
CrossRef  |  Direct Link  |  

Meftouh, K., M.T. Laskri and K. Smaili, 2010. Modeling arabic language using statistical methods. Arabian J. Sci. Eng., 35: 69-82.
Direct Link  |  

Mukherjee, I., V. Bhattacharya, S. Banerjee, P.K. Gupta and P.K. Mahanti, 2012. Efficient web information retrieval based on usage mining. Proceedings of the 1st International Conference on Recent Advances in Information Technology (RAIT), March 15-17, 2012, IEEE, Dhanbad, India, ISBN:978-1-4577-0694-3, pp: 591-595.

Rodriguez-Mula, G., H. Garcia-Molina and A. Paepcke, 1998. Collaborative value filtering on the Web. Comput. Netw. ISDN. Syst., 30: 736-738.
Direct Link  |  

Tuteja, S., 2013. Enhancement in weighted pagerank algorithm using VOL. IOSR J. Comput. Eng., Vol. 14.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved