As the contest is heating up I am getting more and more interesting feedback. As you can see in the above image, thanks to JustinYan, we are now at place 5 in track 2.
I have significantly extended the parser library in GraphLab version 2 to create useful tools for anyone who wants to compete. Here are some of the currently available tools:
kdd_train_data_parser - clean the training data from opposite signals, and split it into meaningful validation and training sets.
kdd_test_splitter - split the test data into two test files, as instructed by the contest
kddcup_output_builder - take two vector prediction files (output of graphlab or any other software like Vowpal Wabbit), find the highest prediction files, and merge them back into a zip submission file containing the solution.
kdd_usr_itm_feature_parsers - parse user and item features and translate them to GraphLab or VW input formats.
kdd_linear_model_builder - build a linear feature model for the training/validation that can be used for classification.
Since we don't have much time to perfect everything before the code release, I would love to get any help/feedback/suggestions from you!!
Some more detailed instructions:
GraphLab v2 setup
1) install graphlab v2, USING MERCURIAL option as instructed here: http://graphlab.org/download.html
2) After checking out, you should do:
hg pull
hg update v2
./configure
cd release
make
Example runs:
More details are found here.
Let me know how it went!
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