An analysis of ranking principles and retrieval strategies

Zuccon, Guido, Azzopardi, Leif, & Van Rijsbergen, C.J. Keith (2011) An analysis of ranking principles and retrieval strategies. In ICTIR 2011 Third International Conference on the Theory of Information Retrieval, 12-14 September 2011, Bertinoro, Italy.

Abstract

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.

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ID Code: 69280
Item Type: Conference Paper
Refereed: Yes
Additional Information: This paper was subsequently published by Springer in its Lecture Notes in Computer Science series: See link in this record to 'related work'. The DOI for the published version is:
http://dx.doi.org/10.1007/978-3-642-23318-0_15
Additional URLs:
Divisions: Current > Institutes > Institute for Future Environments
Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 Springer
Copyright Statement: The original publication is available at SpringerLink http://www.springerlink.com
Deposited On: 02 Jun 2014 02:37
Last Modified: 09 Aug 2015 19:23

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