papers-we-love_papers-we-love/information_retrieval/README.md

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## Information Retrieval
Information retrieval is the activity of obtaining information resources relevant to an information need from a collection of information resources. (Says Wikipedia).
The included documents are
* [Graph of Word and TW-IDF](http://www.lix.polytechnique.fr/~rousseau/papers/rousseau-cikm2013.pdf) - Francois Rousseau & Michalis Vazirgiannis
The traditional IR system stores term-specific statistics (typically
a term's frequency in each document - which we call TF) in an index.
Such a model ignores dependencies between terms and considers a
document's terms to occur independently of each other (and is aptly
called the bag-of-words model). In this paper the authors use a
statistic that uses a graph representation of a document to encode
dependencies between terms and replace the TF statistic with a new
TW statistic based on the graph constructed and achieve
significantly better results that popular existing models. This
paper won a honorable mention at CIKM 2013.
* [The Anatomy of a Large-Scale Hypertextual Web Search Engine](http://infolab.stanford.edu/~backrub/google.html)