Efficient Hybrid Usage-Based Ranking Model
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Views: 131 , Downloads: 110 | CTR: 84 % | Weekly Popularity: ⮙2

Survey Paper | Computer Science & Engineering | India | Volume 6 Issue 8, August 2017

Efficient Hybrid Usage-Based Ranking Model

Kanchanmala D. Talekar, Prof. Mayank Bhatt

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.

Keywords: Information Retrieval IR, Tokenization, Usage-based Ranking, Content-based Ranking, Link based Ranking

Edition: Volume 6 Issue 8, August 2017

Pages: 1740 - 1742

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Kanchanmala D. Talekar, Prof. Mayank Bhatt, "Efficient Hybrid Usage-Based Ranking Model", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20176165, Volume 6 Issue 8, August 2017, 1740 - 1742

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