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Adapting Rankers Online

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6653))

Abstract

At the heart of many effective approaches to the core information retrieval problem-identifying relevant content-lies the following three-fold strategy: obtaining content based matches, inferring additional ranking criteria and constraints, and combining all of the above so as to arrive at a single ranking of retrieval units.

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References

  1. Hofmann, K., Whiteson, S., de Rijke, M.: Balancing exploration and exploitation in learning to rank online. In: Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W., Lee, H., Mudoch, V. (eds.) ECIR 2011. LNCS, vol. 6611, pp. 251–263. Springer, Heidelberg (2011)

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© 2011 Springer-Verlag Berlin Heidelberg

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Hofmann, K., Whiteson, S., de Rijke, M. (2011). Adapting Rankers Online. In: Hanbury, A., Rauber, A., de Vries, A.P. (eds) Multidisciplinary Information Retrieval. IRFC 2011. Lecture Notes in Computer Science, vol 6653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21353-3_1

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  • DOI: https://doi.org/10.1007/978-3-642-21353-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21352-6

  • Online ISBN: 978-3-642-21353-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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