An analysis of ranking principles and retrieval strategies
Data(s) |
2011
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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 | |
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 |