TY  - JOUR
T1  - A Hybrid Usage-Based Ranking for Enhancing Arabic Search Engines
AU - Hajeer, Safaa I. AU - Ismail, Rasha M. AU - Badr, Nagwa L. AU - Tolba, M.F. 
JO  - International Journal of Soft Computing
VL  - 12
IS  - 4
SP  - 280
EP  - 286
PY  - 2017
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2017.280.286
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2017.280.286
KW  - Information Retrieval (IR)
KW  -usage-based ranking
KW  -content-based ranking
KW  -linked-based ranking
KW  -weighted page rank
AB  - There are billions of web pages available on the internet. 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 needs. 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 be not 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 Hybrid
Usage-Based Ranking algorithm called EHURA. The objective of this algorithm is to overcome the drawbacks
of the ranking algorithms and improve the efficiency of web searching. EHURA was applied to 242 Arabic
corpus to measure its performance. The result shows our proposed EHURA algorithm improves the precision
over the Content-Based Ranking algorithm representation as well as the recall is affected too in this
improvement.
ER  -