An analysis of ranking principles and retrieval strategies


Autoria(s): Zuccon, Guido; Azzopardi, Leif; 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. All alternatives deviate from the PRP by incorporating dependencies. This results in a re-ranking that promotes or demotes documents depending upon their relationship with the documents that have been already ranked. In this paper, we compare and contrast the behaviour of state-of-the-art ranking strategies and principles. To do so, we tease out analytical relationships between the ranking approaches and we investigate the document kinematics to visualise the effects of the different approaches on document ranking.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/72268/

Publicador

Springer Berlin Heidelberg

Relação

http://eprints.qut.edu.au/72268/2/Zuccon_outstanding_an_analysis_of_ranking_principles.pdf

DOI:10.1007/978-3-642-23318-0_15

Zuccon, Guido, Azzopardi, Leif, & Rijsbergen, C.J. Keith (2011) An analysis of ranking principles and retrieval strategies. Lecture Notes in Computer Science : Advances in Information Retrieval Theory, 6931, pp. 151-163.

Direitos

Copyright 2011 Springer

The original publication is available at SpringerLink http://www.springerlink.com

Fonte

School of Information Systems; Science & Engineering Faculty

Palavras-Chave #Ranking principles #Information retrieval #Document ranking
Tipo

Journal Article