View KDDCup'11 track2 by SVDFeature (public)

2011-11-02 09:54 by crowwork | Version 12 | Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star
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Summary

We describe our experiment on KDDCup'11 track2 dataset using SVDFeature, getting state-of-art single model peformance

License
CC-BY-SA 3.0
Tags
collaborative-filtering collaborative-ranking kddcup2011 SVDFeature
Feature Processing
All the input files are specified in README
Parameters
no parameters, all the procedure is specified in the scripts
Operating System
linux
Code

All the code and scripts are provided in our experiment page

  • Experiment page: http://apex.sjtu.edu.cn/apex_wiki/kddtrack2
Software Packages

We use SVDFeature to do our experiment:

  • Project Page: http://apex.sjtu.edu.cn/apex_wiki/svdfeature
  • MLOSS Page: http://mloss.org/software/view/333/
Completeness of this item currently: 100%.
Description

We provide the detailed scripts to run the experiment. The provided experiment can give state-of-art performance on KDDCup track2 dataset. This experiment is also a non-trivial example showing how to develop Collaborative Ranking model using SVDFeature.

URLs
http://apex.sjtu.edu.cn/apex_wiki/kddtrack2
Publications
    revision 12
    by crowwork on 2011-11-02 09:54

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    Disclaimer

    We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.

    Data | Task | Method | Challenge

    Acknowledgements

    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
    PASCAL Logo
    http://www.pascal-network.org/.