added link to the PWL singapore group, and an Game AI paper and the Google paper presented during the first meetup

pull/160/head
Chinmay Pendharkar 10 years ago
parent b4627cc109
commit b2b0b90420

@ -11,8 +11,9 @@ Here are our official chapters. Let us know if you are interested in [starting o
* [Colorado](http://www.meetup.com/Papers-We-Love-Boulder/) * [Colorado](http://www.meetup.com/Papers-We-Love-Boulder/)
* [Ohio](http://www.meetup.com/Papers-We-Love-Columbus/) * [Ohio](http://www.meetup.com/Papers-We-Love-Columbus/)
* [Berlin](http://www.meetup.com/Papers-We-Love-Berlin/) * [Berlin](http://www.meetup.com/Papers-We-Love-Berlin/)
* [Pune] (http://www.meetup.com/Doo-Things) * [Pune](http://www.meetup.com/Doo-Things)
* [Boston](http://www.meetup.com/Papers-We-Love-Boston/) * [Boston](http://www.meetup.com/Papers-We-Love-Boston/)
* [Singapore](https://www.facebook.com/groups/paperswelovesg/)
All of our meetups follow our [Code of Conduct](CODE_OF_CONDUCT.md). All of our meetups follow our [Code of Conduct](CODE_OF_CONDUCT.md).

@ -4,9 +4,8 @@ Information retrieval is the activity of obtaining information resources relevan
The included documents are The included documents are
* * [Graph of Word and TW-IDF](http://www.lix.polytechnique.fr/~rousseau/papers/rousseau-cikm2013.pdf) - Francois Rousseau & Michalis Vazirgiannis
[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 The traditional IR system stores term-specific statistics (typically
a term's frequency in each document - which we call TF) in an index. a term's frequency in each document - which we call TF) in an index.
Such a model ignores dependencies between terms and considers a Such a model ignores dependencies between terms and considers a
@ -17,3 +16,5 @@ The included documents are
TW statistic based on the graph constructed and achieve TW statistic based on the graph constructed and achieve
significantly better results that popular existing models. This significantly better results that popular existing models. This
paper won a honorable mention at CIKM 2013. paper won a honorable mention at CIKM 2013.
* [The Anatomy of a Large-Scale Hypertextual Web Search Engine](http://infolab.stanford.edu/~backrub/google.html)

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