The Interactive PRP for Diversifying Document Rankings

被引:0
|
作者
Zuccon, Guido [1 ]
Azzopardi, Leif [1 ]
van Rijsbergen, C. J. Keith [1 ]
机构
[1] Univ Glasgow, Sch Comp Sci, Glasgow, Lanark, Scotland
基金
英国工程与自然科学研究理事会;
关键词
Algorithms; Theory; PRINCIPLE;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The assumptions underlying the Probability Ranking Principle (PRP) have led to a number of alternative approaches that cater or compensate for the PRP's limitations. In this poster we focus on the Interactive PRP (iPRP), which rejects the assumption of independence between documents made by the PRP. Although the theoretical framework of the iPRP is appealing, no instantiation has been proposed and investigated. In this poster, we propose a possible instantiation of the principle, performing the first empirical comparison of the iPRP against the PRP. For document diversification, our results show that the iPRP is significantly better than the PRP, and comparable to or better than other methods such as Modern Portfolio Theory.
引用
收藏
页码:1227 / 1228
页数:2
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