The interactive PRP for diversifying document rankings


Autoria(s): Zuccon, Guido; Azzopardi, Leif; van Rijsbergen, C.J. Keith
Data(s)

2011

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/69268/

Publicador

ACM

Relação

http://eprints.qut.edu.au/69268/1/zuccon2011f.pdf

DOI:10.1145/2009916.2010132

Zuccon, Guido, Azzopardi, Leif, & van Rijsbergen, C.J. Keith (2011) The interactive PRP for diversifying document rankings. In SIGIR '11 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, ACM, Beijing, China, pp. 1227-1228.

Direitos

Copyright 2011 The Author(s)

Fonte

Institute for Future Environments; School of Information Systems; Science & Engineering Faculty

Tipo

Conference Paper