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Improving Performance of Search Engines Based on Fuzzy Classification
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
Information
- Sean Odom, Lynell Allison (2011). SEO For 2012: Search Engine Optimization Secrets. s.l. : MediaWorks. 0984860002 9780984860005.
- Zhicheng Dou, Ruihua Song, Jian-Yun Nie, Ji-Rong Wen (2009). Using anchor texts with their hyperlink structure for web search. s.l. : SIGIR ‘09 Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval.
- Wen-Hsiang Lu, Lee-Feng Chien, Hsi-Jian Lee (2004). Anchor text mining for translation of Web queries: A transitive translation approach. s.l. : ACM Transactions on Information Systems (TOIS).
- Kevin Haas, Peter Mika, Paul Tarjan, Roi Blanco (2011). Enhanced results for web search. s.l. : SIGIR ‘11 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval.
- Gaston L’Huillier, Hector Alvarez, Sebastián A. Ríos, Felipe Aguilera (2011). Topic-based social network analysis for virtual communities of interests in the dark web. s.l. : ACM SIGKDD Explorations Newsletter.
- Ricardo Baeza-Yates, Andrei Z. Broder, Yoelle Maarek (2011). The new frontier of web search technology: seven challenges. s.l. : Search computing.
- Eugene Agichtein, Zijian Zheng (2006). Identifying “best bet” web search results by mining past user behavior. s.l. : KDD ‘06 Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining.
- Olivier Chapelle, Ya Zhang (2009). A dynamic bayesian network click model for web search ranking. s.l. : WWW ‘09 Proceedings of the 18th international conference on World wide web.
- Jeff Huang, Ryen W. White, Susan Dumais (2011). No clicks, no problem: using cursor movements to understand and improve search. s.l. : CHI ‘11 Proceedings of the 2011 annual conference on Human factors in computing systems.
- Cooke, Lynne (2006). Is the Mouse a “Poor man’s Eye Tracker”? s.l. : Usability and Information Design.
- Qi Guo, Eugene Agichtein (2010). Towards predicting web searcher gaze position from mouse movements. s.l. : CHI EA ‘10 Proceedings of the 28th of the international conference extended abstracts on Human factors in computing systems.
- Florian Mueller, Andrea Lockerd (2001). Tracking Mouse Movement Activity on WebSItes a Tool for User Modeling. s.l. : CHI EA ‘01 CHI ‘01 Extended abstracts on Human factors in computing systems.
- Kerry Rodden, Xin Fu (2007). exploring How Mouse Movements Relate to Eye Movements on Web Search Results Pages. s.l. : wisi workshop.
- Hao Ma, Raman Chandrasekar,Chris Quirk,Abhishek Gupta (2009). Improving Search Engines Using Human Computation Games. s.l. : Proceedings of the 18th ACM conference on Information and knowledge management.
- Uzun, Erdinç (2012). A fuzzy ranking approach for improving search results in Turkish as an agglutinative language. s.l. : Expert Systems with Applications: An International Journal.
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