By W. Bruce Croft (auth.), Mohand Boughanem, Catherine Berrut, Josiane Mothe, Chantal Soule-Dupuy (eds.)
This publication constitutes the refereed court cases of the thirtieth annual ecu convention on details Retrieval study, ECIR 2009, held in Toulouse, France in April 2009.
The forty two revised complete papers and 18 revised brief papers offered including the abstracts of three invited lectures and 25 poster papers have been rigorously reviewed and chosen from 188 submissions. The papers are prepared in topical sections on retrieval version, collaborative IR / filtering, studying, multimedia - metadata, specialist seek - advertisements, review, opinion detection, net IR, illustration, clustering / categorization in addition to allotted IR.
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Additional resources for Advances in Information Retrieval: 31th European Conference on IR Research, ECIR 2009, Toulouse, France, April 6-9, 2009. Proceedings
Technical Report. University College London (2008) Appendix A θt Since f (θt ) = ln 1−θ is inﬁnitely diﬀerentiable in the neighborhood of the mean t of θt , the mean of f (θt ) can be approximated as the mean of a Taylor series as: E[f (θt )] 1 = E[f (θ¯t )] + E[(θt − θ¯t )f (θ¯t )] + E[ (θt − θ¯t )2 f (θ¯t )] + · · · 2 1 = f (θ¯t ) + 0 + f (θ¯t )V ar(θt ) + · · · 2 f (θ¯t ) θ¯t 2θ¯t − 1 V ar(θt ) = ln + V ar(θt ) ≈ f (θ¯t ) + 2 1 − θ¯t 2θ¯t2 (1 − θ¯t )2 (11) f (θt ) can be approximated by a ﬁrst order Taylor series as f (θt ) ≈ f (θ¯t ) + (θt − θ¯t )f (θ¯t ).
Our approach also outperforms the linear smoothing approach on MAP for all four collections. Comparing Table 3 (b) with Table 3 (a), we can see that our approach combined with the linear smoothing performs better than our approach without background smoothing in 18 out of 24 results, and better than the Dirichlet smoothing in 18 out of 24 results. Therefore, our risk adjustment complements background smoothing in performance improvement. 6 Conclusion and Future Work Uncertainty is an intrinsic part of document ranking, but has not generally been considered in current IR models.
Zhu et al. 11. : Some simple eﬀective approximations to the 2-poisson model for probabilistic weighted retrieval. In: Proc. of SIGIR 1994, pp. 232–241. Springer, New York (1994) 12. : Information Retrieval. Butterworths, London (1979) 13. : A bayesian approach to real estate assessment. , Zellner, A. ) Studies in Bayesian Econometrics and Statistics in Honour of Leonard J. Savage, pp. 198–205 (1975) 14. : Estimating retrieval eﬀectiveness with rank distributions. In: Proc. of the Conference on Information and Knowledge Management (CIKM) (2008) 15.
Advances in Information Retrieval: 31th European Conference on IR Research, ECIR 2009, Toulouse, France, April 6-9, 2009. Proceedings by W. Bruce Croft (auth.), Mohand Boughanem, Catherine Berrut, Josiane Mothe, Chantal Soule-Dupuy (eds.)