Abstract: There are billions of web pages available on the Internet. Search egines always have a challenge to find the best ranked list to the userls query from those huge numbers of pages. A lot of search results that corresponds to a userls query are not relevant to the userls needs. Most of the page ranking algorithms use lnk-based ranking (web structure) or cntent-based ranking to calculate the relevancy of the information to the userls need, but those ranking algorithms might be not enough to provide a good ranked list. So in this study we proposed an Efficient Hybrid Usage-based Ranking Algorithm called EHURA. EHURA was applied to 1033 eglish crpus abnd aabic crpus to measure its performance. The result show improvements in the recall and precision for using EHURA over the cntent-based ranking algorithm representation in both lnguages.
Safaa I. Hajeer, Rasha M. Ismail, Nagwa L. Badr and M.F. Tolba, 2016. A New Efficient Approach for Multi-Language Search Engines And Formation Retrieval Systems. Asian Journal of Information Technology, 15: 4617-4625.