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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)