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added link to the PWL singapore group, and an Game AI paper and the Google paper presented during the first meetup
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@ -11,8 +11,9 @@ Here are our official chapters. Let us know if you are interested in [starting o
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* [Colorado](http://www.meetup.com/Papers-We-Love-Boulder/)
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* [Ohio](http://www.meetup.com/Papers-We-Love-Columbus/)
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* [Berlin](http://www.meetup.com/Papers-We-Love-Berlin/)
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* [Pune] (http://www.meetup.com/Doo-Things)
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* [Pune](http://www.meetup.com/Doo-Things)
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* [Boston](http://www.meetup.com/Papers-We-Love-Boston/)
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* [Singapore](https://www.facebook.com/groups/paperswelovesg/)
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All of our meetups follow our [Code of Conduct](CODE_OF_CONDUCT.md).
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@ -4,9 +4,8 @@ Information retrieval is the activity of obtaining information resources relevan
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The included documents are
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*
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[Graph of Word and TW-IDF](http://www.lix.polytechnique.fr/~rousseau/papers/rousseau-cikm2013.pdf) - Francois Rousseau & Michalis Vazirgiannis
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* [Graph of Word and TW-IDF](http://www.lix.polytechnique.fr/~rousseau/papers/rousseau-cikm2013.pdf) - Francois Rousseau & Michalis Vazirgiannis
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The traditional IR system stores term-specific statistics (typically
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a term's frequency in each document - which we call TF) in an index.
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Such a model ignores dependencies between terms and considers a
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@ -17,3 +16,5 @@ The included documents are
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TW statistic based on the graph constructed and achieve
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significantly better results that popular existing models. This
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paper won a honorable mention at CIKM 2013.
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* [The Anatomy of a Large-Scale Hypertextual Web Search Engine](http://infolab.stanford.edu/~backrub/google.html)
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