Archives/papers-we-love_papers-we-love
1
0
Fork 0
mirror of https://github.com/papers-we-love/papers-we-love.git synced 2025-06-13 12:54:28 +00:00
Code Issues Projects Releases Wiki Activity

Merge pull request #72 from shriphani/master

Browse Source 
added tw-idf paper and description
This commit is contained in:
Zeeshan Lakhani 2014-03-20 09:27:04 -04:00
commit 78e2d7ecc7
2 changed files with 19 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

19
information_retrieval/README.md Normal file
View File

@ -0,0 +1,19 @@
## 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.

BIN
information_retrieval/graph_of_word_and_tw_idf.pdf Normal file
View File

Binary file not shown.