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Improving Performance of Search Engines Based on Fuzzy Classification


Affiliations
1 Graduate Student of PNU University, Tehran, Iran, Islamic Republic of
2 Department of Computer Engineering, Najafabad branch, Islamic Azad University, Isfahan, Iran, Islamic Republic of
3 Faculty of New Sciences and Technologies University of Tehran, Tehran, Iran, Islamic Republic of
 

At first glance, the service search-engine seems very useful and faultless, but by the more careful examination one may notice weaknesses in this search results. One of these weakness is that the result pages, which the search-engines offer is sometimes without content and sometimes have no relevance to the field that user had in mind . On the other hand many of quality-pages have no place in the search results. This paper advises search-engines to hand the job of decision making about the content of web sites to users, because humans are very much faster and have a very lower rate of error and can decide about the usefulness of a website with more justice. In the proposed algorithm which is based on fuzzy logic, we try to use parameters such as speed of mouse movements, scrolling speed, standard deviation of horizontal position of mouse and the time spent by user in each page to evaluate the extent of user's satisfaction with the page content. This ppaer describes the surveys conducted and then analyzes of the fuzzy variables, fuzzy sets and membership functions. Finally, discusses the benefits of the proposed algorithm.

Keywords

Search Engines, Fuzzy Logic, Crawler, SEO
User

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  • Improving Performance of Search Engines Based on Fuzzy Classification

Abstract Views: 518  |  PDF Views: 95

Authors

Hamid Reza Rezaei
Graduate Student of PNU University, Tehran, Iran, Islamic Republic of
Mohammad Naderi Dehkordi
Department of Computer Engineering, Najafabad branch, Islamic Azad University, Isfahan, Iran, Islamic Republic of
Reza Askari Moghadam
Faculty of New Sciences and Technologies University of Tehran, Tehran, Iran, Islamic Republic of

Abstract


At first glance, the service search-engine seems very useful and faultless, but by the more careful examination one may notice weaknesses in this search results. One of these weakness is that the result pages, which the search-engines offer is sometimes without content and sometimes have no relevance to the field that user had in mind . On the other hand many of quality-pages have no place in the search results. This paper advises search-engines to hand the job of decision making about the content of web sites to users, because humans are very much faster and have a very lower rate of error and can decide about the usefulness of a website with more justice. In the proposed algorithm which is based on fuzzy logic, we try to use parameters such as speed of mouse movements, scrolling speed, standard deviation of horizontal position of mouse and the time spent by user in each page to evaluate the extent of user's satisfaction with the page content. This ppaer describes the surveys conducted and then analyzes of the fuzzy variables, fuzzy sets and membership functions. Finally, discusses the benefits of the proposed algorithm.

Keywords


Search Engines, Fuzzy Logic, Crawler, SEO

References





DOI: https://doi.org/10.17485/ijst%2F2012%2Fv5i11%2F30648