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.
Chapter PDF
References
Carbonell, J., Goldstein, J.: The use of MMR, diversity-based reranking for reordering documents and producing summaries. In: SIGIR 1998, pp. 335–336 (1998)
Chen, H., Karger, D.R.: Less is more: probabilistic models for retrieving fewer relevant documents. In: SIGIR 2006, pp. 429–436 (2006)
Fuhr, N.: A probability ranking principle for iir. JIR 12(3), 251–265 (2008)
Goffman, W.: On relevance as a measure. Info. Stor. & Ret. 2(3), 201–203 (1964)
Gordon, M.D., Lenk, P.: When is the prp suboptimal. JASIS 43(1), 1–14 (1999)
Robertson, S.E.: The probability ranking principle in IR. J. Doc. 33, 294–304 (1977)
Wang, J., Zhu, J.: Portfolio theory of information retrieval. In: SIGIR 2009, pp. 115–122 (2009)
Zuccon, G., Azzopardi, L.: Using the quantum probability ranking principle to rank interdependent documents. In: Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K. (eds.) ECIR 2010. LNCS, vol. 5993, pp. 357–369. Springer, Heidelberg (2010)
Zuccon, G., Azzopardi, L., Hauff, C., van Rijsbergen, C.J.: Estimating interference in the QPRP for subtopic retrieval. In: SIGIR 2010, pp. 741–742 (2010)
Zuccon, G., Azzopardi, L., van Rijsbergen, C.J.: The interactive PRP for diversifying document rankings. In: SIGIR (to appear, 2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zuccon, G., Azzopardi, L., Van Rijsbergen, C.J.K. (2011). An Analysis of Ranking Principles and Retrieval Strategies. In: Amati, G., Crestani, F. (eds) Advances in Information Retrieval Theory. ICTIR 2011. Lecture Notes in Computer Science, vol 6931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23318-0_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-23318-0_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23317-3
Online ISBN: 978-3-642-23318-0
eBook Packages: Computer ScienceComputer Science (R0)