Authors : Safaa I. Hajeer, Rasha M. Ismail, Nagwa L. Badr and M.F. Tolba
Abstract: 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.
Safaa I. Hajeer, Rasha M. Ismail, Nagwa L. Badr and M.F. Tolba, 2017. A Hybrid Usage-Based Ranking for Enhancing Arabic Search Engines. International Journal of Soft Computing, 12: 280-286.