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Different Rankers on Different Subcollections

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

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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© 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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