Improving ranking of webpages using user behaviour, a Genetic algorithm approach

被引：0
|
作者：
Sameer, Venkata Udaya [1 ]
Balabantaray, Rakesh Chandra [2 ]
机构：
[1] Anil Neerukonda Inst Technol & Sci, Dept Comp Sci & Engn, Visakhapatnam, Andhra Pradesh, India
[2] IIIT Bhubaneswar, Dept Comp Sci & Engn, Odisha, India
来源：
2014 FIRST INTERNATIONAL CONFERENCE ON NETWORKS & SOFT COMPUTING (ICNSC) | 2014年
关键词：
Userbehavior; Information retrieval; click through data; search; relevanceGenetic Algorithm; SBO;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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收藏
页码：1 / 4
页数：4
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