An analysis of ranking principles and retrieval strategies

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.

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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: 72268
Item Type: Journal Article
Refereed: Yes
Additional Information: Book Subtitle:
Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings
Keywords: Ranking principles, Information retrieval, Document ranking
DOI: 10.1007/978-3-642-23318-0_15
ISBN: 9783642233180
ISSN: 1611-3349
Divisions: 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
Deposited On: 01 Jun 2014 23:26
Last Modified: 21 Jul 2014 19:23

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