MapReduce for Information Retrieval Evaluation: "Let's Quickly Test This on 12 TB of Data"

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

• Type: Conference
• Year: 2010
• Where: CLEF
• Authors: Djoerd Hiemstra, Claudia Hauff
• Keywords: CLEF 2010, Information Technology, Large-scale Information Retrieval, Low Cost Machines, Small Case Study