TY  - JOUR
T1  - AEHURA: A New Ranking Algorithm for Arabic Web Search Engines
AU - Hajeer, Safaa I. AU - Ismail, Rasha M. AU - Badr, Nagwa L. AU - Tolba, M.F. 
JO  - Asian Journal of Information Technology
VL  - 14
IS  - 3
SP  - 105
EP  - 110
PY  - 2015
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2015.105.110
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2015.105.110
KW  - Information Retrieval (IR)
KW  -tokenization
KW  -search engine
KW  -indexing
KW  -Arabic language
KW  -usage-based ranking
KW  -content-based ranking
KW  -link-based ranking
AB  - 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.
ER  -