Safaa I.  Hajeer, Rasha M.  Ismail, Nagwa L.  Badr, M.F.  Tolba, 
    AEHURA: A New Ranking Algorithm for Arabic Web Search Engines,
    Asian Journal of Information Technology,
    Volume 14,Issue 3,
    2015,
    Pages 105-110,
    ISSN 1682-3915,
    ajit.2015.105.110,
    (https://makhillpublications.co/view-article.php?doi=ajit.2015.105.110)
    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.
    Keywords: Information Retrieval (IR);tokenization;search engine;indexing;Arabic language;usage-based ranking;content-based ranking;link-based ranking