DocumentCode :
249148
Title :
Improving ranking of webpages using user behaviour, a Genetic algorithm approach
Author :
Sameer, Venkata Udaya ; Balabantaray, Rakesh Chandra
Author_Institution :
Dept. of Comput. Sci. & Eng., Anil Neerukonda Inst. of Technol. & Sci., Visakhapatnam, India
fYear :
2014
fDate :
19-20 Aug. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Information retrieval has taken an important turn when the researchers started using user behavior to improve their ranking algorithms. With the advent of user behavior in information retrieval, the interactive information retrieval is beginning to make its mark. In this paper we discuss how user behavior is being used in information retrieval. We survey various strategies used for incorporating user behavior into information retrieval. A Genetic Algorithm is used in this paper to improve the average MAP score and ultimately a Select Best Ones (SBO) principle is used to arrive at the final ranking.
Keywords :
Internet; genetic algorithms; human factors; information retrieval; interactive systems; Web page ranking; average MAP score; genetic algorithm; interactive information retrieval; mean average precision; select best ones principle; user behaviour; Biological cells; Buildings; Computer science; Genetic algorithms; Search engines; Web search; Information retrieval; SBO; Userbehavior; click through data; relevance Genetic Algorithm; search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks & Soft Computing (ICNSC), 2014 First International Conference on
Conference_Location :
Guntur
Print_ISBN :
978-1-4799-3485-0
Type :
conf
DOI :
10.1109/CNSC.2014.6906674
Filename :
6906674
Link To Document :
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