View KDDCup'11 track2 by SVDFeature (public)
- 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/
- 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
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.