sporadic ramblings of a comp sci grad student studying information retrieval Me @ CMU I occasionally get questions from aspiring IR students asking for advice on getting started as an IR researcher.* Here’s an attempt at some pointers for foundation material and resources: Reading There’s a lot of background material that any IR researcher should be familiar with: A good textbook to get your head
Welcome to the Terrier IR Platform Terrier is a highly flexible, efficient, and effective open source search engine, readily deployable on large-scale collections of documents. Terrier implements state-of-the-art indexing and retrieval functionalities, and provides an ideal platform for the rapid development and evaluation of large-scale retrieval applications. Terrier is open source, and is a com
MG4J (Managing Gigabytes for Java) is a free full-text search engine for large document collections written in Java. With release 1.1, MG4J becomes a highly customisable, high-performance, full-fledged search engine providing state-of-the-art features (such as BM25 scoring) and new research algorithms. Release 2.0 significantly improved performance and introduced several new features. Warning: R
Powerpoint slides are from the Stanford CS276 class and from the Stuttgart IIR class. Latex slides are from the Stuttgart IIR class. The latex slides are in latex beamer, so you need to know/learn latex to be able to modify them. You will need these beamer style files. Key: ppt = powerpoint, pdf = pdf optimized for presentation, pdf = pdf optimized for printing, src = latex source of pdf
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