MapReduce for information retrieval evaluation: "Let's quickly test this on 12 TB of data"

Hiemstra, Djoerd and Hauff, Claudia (2010) MapReduce for information retrieval evaluation: "Let's quickly test this on 12 TB of data". In: International Conference of the Cross-Language Evaluation Forum, CLEF: Multilingual and Multimodal Information Access Evaluation, 20-23 September 2010, Padua, Italy.

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Abstract:	We propose to use MapReduce to quickly test new retrieval approaches on a cluster of machines by sequentially scanning all documents. We present a small case study in which we use a cluster of 15 low cost machines to search a web crawl of 0.5 billion pages showing that sequential scanning is a viable approach to running large-scale information retrieval experiments with little effort. The code is available to other researchers at: http://mirex.sourceforge.net.
Item Type:	Conference or Workshop Item
Copyright:	© 2010 Springer
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Databases (DB)
Link to this item:	http://purl.utwente.nl/publications/73226
Official URL:	http://dx.doi.org/10.1007/978-3-642-15998-5_8
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