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Journals ACM SIGIR Forum Volume 42 Issue 2

Collections are a fundamental tool for reproducible evaluation of information retrieval techniques. We describe a new method for distributing the document lengths and term counts (a.k.a. within-document frequencies) of a web snapshot in a highly compressed and nonetheless quickly accessible form. Our main application is reproducibility of the behaviour of focused crawlers: by coupling our collection with the corresponding web graph compressed with WebGraph 3 we make it possible to apply text-based machine learning tools to the collection, while keeping the data set footprint small. We describe a collection based on a crawl of 100 Mpages of the .uk domain, publicly available in bundle with a Java open-source implementation of our techniques.

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Compressed collections for simulated crawling

Orlandi, Alessio; Vigna, Sebastiano
ACM SIGIR Forum , Volume 42 (2)
Association for Computing Machinery – Nov 30, 2008

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