An analysis of ranking principles and retrieval strategies

Guido Zuccon, Leif Azzopardi, C. J. Keith Van Rijsbergen

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Place of PublicationBerlin, Heidelberg
PublisherSpringer-Verlag
Pages151-163
Number of pages13
ISBN (Print)978-3-642-23317-3
Publication statusPublished - 12 Sep 2011
Externally publishedYes

Publication series

NameLecture Notes in Computer Science
PublisherSpringer-Verlag
Volume6931

Keywords

  • probability ranking principle
  • retrieval strategies
  • search behaviour

Cite this

Zuccon, G., Azzopardi, L., & Van Rijsbergen, C. J. K. (2011). An analysis of ranking principles and retrieval strategies. In ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory (pp. 151-163). (Lecture Notes in Computer Science; Vol. 6931). Springer-Verlag.