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    Maximum margin matrix factorization for code recommendation

    Markus Weimer, Alexandros Karatzoglou, Marcel Bruch. Maximum margin matrix factorization for code recommendation. In Lawrence D. Bergman, Alexander Tuzhilin, Robin D. Burke, Alexander Felfernig, Lars Schmidt-Thieme, editors, Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009. pages 309-312, ACM, 2009. [doi]

    References

    • 4 N. Srebro, J. Rennie, and T. Jaakkola. Maximum-margin matrix factorization. In L. K. Saul, Y. Weiss, and L. Bottou, editors, Advances in Neural Information Processing Systems 17, Cambridge, MA, 2005. MIT Press.
    • 2 W. S. Lee and B. Liu. Learning with positive and unlabeled examples using weighted logistic regression. In Proceedings of the 20th International Conference on Machine Learning (ICML 2003). AAAI Press, 2003.
    • 1 Marcel Bruch , Thorsten Schäfer , Mira Mezini, FrUiT: IDE support for framework understanding, Proceedings of the 2006 OOPSLA workshop on eclipse technology eXchange, p.55-59, October 22-23, 2006, Portland, Oregon [doi>10.1145/1188835.1188847]
    • 5 Markus Weimer , Alexandros Karatzoglou , Alex Smola, Improving maximum margin matrix factorization, Machine Learning, v.72 n.3, p.263-276, September 2008 [doi>10.1007/s10994-008-5073-7]
    • 3 N. Srebro and T. Jaakkola. Weighted low-rank approximations. In Proceedings of the 20th International Conference on Machine Learning (ICML 2003), pages 720 -- 727. AAAI Press, 2003.

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