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