Archives
/
papers-we-love_papers-we-love
mirror of https://github.com/papers-we-love/papers-we-love
1
0
Fork 0
Code Issues Projects Releases Wiki Activity
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '2f30e2e989'
${ noResults }
papers-we-love_papers-we-love/information_retrieval
History
Chinmay Pendharkar b2b0b90420
added link to the PWL singapore group, and an Game AI paper and the Google paper presented during the first meetup 		10 years ago
..
README.md added link to the PWL singapore group, and an Game AI paper and the Google paper presented during the first meetup 10 years ago
graph_of_word_and_tw_idf.pdf added tw-idf paper and pdf 10 years ago

README.md

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 - 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