papers-we-love_papers-we-love/information_retrieval
Zachary Jones d2acf0fc3b Update to all READMEs for hosted content
reorganization of so-called historical papers
2015-10-07 15:12:22 -04:00
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graph_of_word_and_tw_idf.pdf added tw-idf paper and pdf 2014-03-20 00:31:48 -04:00
README.md Update to all READMEs for hosted content 2015-10-07 15:12:22 -04:00

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 - 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