@article{MAKHILLAJIT20151435923,
    title = {AEHURA: A New Ranking Algorithm for Arabic Web Search Engines},
    journal = {Asian Journal of Information Technology},
    volume = {14},
    number = {3},
    pages = {105-110},
    year = {2015},
    issn = {1682-3915},
    doi = {ajit.2015.105.110},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2015.105.110},
    author = {Safaa I.,Rasha M.,Nagwa L. and},
    keywords = {Information Retrieval (IR),tokenization,search engine,indexing,Arabic language,usage-based ranking,content-based ranking,link-based ranking},
    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.}
    }