An Efficient Hybrid Usage-based Ranking model for information retrieval systems & web search Engine

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 corresponding to a user´s query are not relevant to the user 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 be not enough to provide a good ranked list. So, in this paper we proposed an Efficient Hybrid Usage-based Ranking Algorithm called EHURA. EHURA was applied to 1033 English Corpus to measure its performance. The result shows improvement of the precision for using EHURA over the Content-based ranking algorithm representation while realizing approximately the same recall percentage.