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.
|Title of host publication||ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory|
|Place of Publication||Berlin, Heidelberg|
|Number of pages||13|
|Publication status||Published - 12 Sep 2011|
|Name||Lecture Notes in Computer Science|
- probability ranking principle
- retrieval strategies
- search behaviour
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.