Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
Most search engine systems mainly focusing on developing Western languages such as English so these search engine systems have a high performance on these languages but they don’t have the same performance when they are used for Eastern languages such as Arabic. Furthermore, Arabic is a highly inflected language that has a complex morphological structure, so search engines always have a challenge to find the best ranked list to the user’s query from those huge numbers of pages. A lot of search results that correspond to a user’s query are not relevant to the user’s need. Most of the page ranking algorithms use link-based ranking (web structure) or content-based ranking to calculate the relevancy of the information to the user’s need but those ranking algorithms might not be enough to provide a good ranked list for the Arabic search. So in this study, we proposed an efficient Arabic information retrieval system using a new Arabic hybrid usage-based ranking algorithm called AEHURA. The objective of this algorithm is to overcome the drawbacks of the ranking algorithms and improve the efficiency of Arabic web searching.
How to cite this article:
Safaa I. Hajeer, Rasha M. Ismail, Nagwa L. Badr and M.F. Tolba. AEHURA: A New Ranking Algorithm for Arabic Web Search Engines.
DOI: https://doi.org/10.36478/ajit.2015.105.110
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2015.105.110