A mismatch between different event spaces has been used to argue against rank equivalence of classic probabilistic models of information retrieval and language models. We question the effectiveness of this strategy and we argue that a convincing solution should be sought in a correct procedure to design adequate priors for probabilistic reasoning. Acknowledging our solution of the event space issue invites to rethink the relation between probabilistic models, statistics and logic in the context of IR. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Boscarino, C., & De Vries, A. P. (2009). Prior information and the determination of event spaces in probabilistic information retrieval models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5766 LNCS, pp. 257–264). https://doi.org/10.1007/978-3-642-04417-5_24
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