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Different Rankers on Different Subcollections

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Advances in Information Retrieval (ECIR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9022))

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Abstract

Recent work has shown that when documents in a TREC ad hoc collection are partitioned, different rankers will perform optimally on different partitions. This result suggests that choosing different highly effective rankers for each partition and merging the results, should be able to improve overall effectiveness. Analyzing results from a novel oracle merge process, we demonstrate that this is not the case: selecting the best performing ranker on each subcollection is very unlikely to outperform just using a single best ranker across the whole collection.

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References

  1. Beitzel, S.M., Jensen, E.C., Chowdhury, A., Grossman, D., Goharian, N., Frieder, O.: Recent results on fusion of effective retrieval strategies in the same information retrieval system. In: Callan, J., Crestani, F., Sanderson, M. (eds.) SIGIR 2003 Ws Distributed IR 2003. LNCS, vol. 2924, pp. 101–111. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  2. Fox, E.A., Shaw, J.A.: Combination of multiple searches. Proc. TREC 2, 243–252 (1994)

    Google Scholar 

  3. Jones, T., Turpin, A., Mizzaro, S., Scholer, F., Sanderson, M.: Size and source matter: Understanding inconsistencies in test collection-based evaluation. In: CIKM 2014 (2014)

    Google Scholar 

  4. Land, A.H., Doig, A.G.: An automatic method of solving discrete programming problems. Econometrica 28(3), 497–520 (1960)

    Article  MATH  MathSciNet  Google Scholar 

  5. Lee, J.H.: Analyses of multiple evidence combination. In: Proc. SIGIR, pp. 267–276. ACM Press, New York (1997)

    Chapter  Google Scholar 

  6. Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C., Lioma, C.: Terrier: A high performance and scalable information retrieval platform. In: Proc. OSIR Workshop, pp. 18–25 (2006)

    Google Scholar 

  7. Sanderson, M., Turpin, A., Zhang, Y., Scholer, F.: Differences in effectiveness across sub-collections. In: CIKM 2012, pp. 1965–1969. ACM (2012)

    Google Scholar 

  8. Sheldon, D., Shokouhi, M., Szummer, M., Craswell, N.: Lambdamerge: Merging the results of query reformulations. In: WSDM 2011, pp. 795–804. ACM, New York (2011)

    Google Scholar 

  9. Thomas, P., Shokouhi, M.: Evaluating server selection for federated search. 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. 607–610. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  10. Wilkie, C., Azzopardi, L.: Efficiently estimating retrievability bias. In: de Rijke, M., Kenter, T., de Vries, A.P., Zhai, C., de Jong, F., Radinsky, K., Hofmann, K. (eds.) ECIR 2014. LNCS, vol. 8416, pp. 720–726. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  11. Wu, M., Hawking, D., Turpin, A., Scholer, F.: Using anchor text for homepage and topic distillation search tasks. JASIST 63, 1235–1255 (2012)

    Article  Google Scholar 

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© 2015 Springer International Publishing Switzerland

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Jones, T., Scholer, F., Turpin, A., Mizzaro, S., Sanderson, M. (2015). Different Rankers on Different Subcollections. In: Hanbury, A., Kazai, G., Rauber, A., Fuhr, N. (eds) Advances in Information Retrieval. ECIR 2015. Lecture Notes in Computer Science, vol 9022. Springer, Cham. https://doi.org/10.1007/978-3-319-16354-3_21

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  • DOI: https://doi.org/10.1007/978-3-319-16354-3_21

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16353-6

  • Online ISBN: 978-3-319-16354-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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