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

20 lines
1.0 KiB
Markdown
Raw Normal View History

2014-03-20 04:31:48 +00:00
## 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.