Efficient Hybrid Usage-Based Ranking Model

There are billions of site pages accessible on the Internet. Search engines have an issue for the best rated list to the user's query from those huge amounts of pages. A lot of search results that equivalent to a user's query aren't relevant to an individual need. The majority of the page rank algorithms use Link-based ranking (web composition) or Content-based ranking to estimate the relevancy of the info to the user's need, but those rank algorithms might be insufficient to give a good rated list. In this way, in this paper we proposed an Efficient Hybrid Utilization based Ranking Algorithm called EHURA. EHURA was applied to 1033 English Corpus to measure its performance. The result shows improvement of the accuracy for using EHURA over the Content-based ranking algorithm rendering while realizing approximately the same recall percentage.