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LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates

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Include Lambdafm (java) and Lambdafm (tensorflow)

LambdaFM has been used in many recommender systems, e.g., Tencent Inc: https://cloud.tencent.com/developer/article/1063837 Note that LambdaFM (JAVA) code can be added in fBGD framework (https://github.com/fajieyuan/fBGD) following the way of PRFM (Java file: RankFM_nextmusic).

If you find the java code is very slow, you can refactor it in your own framework since the sampling in librec1.3 is very show.

@inproceedings{yuan2016lambdafm, title={Lambdafm: learning optimal ranking with factorization machines using lambda surrogates}, author={Yuan, Fajie and Guo, Guibing and Jose, Joemon M and Chen, Long and Yu, Haitao and Zhang, Weinan}, booktitle={Proceedings of the 25th ACM International on Conference on Information and Knowledge Management}, pages={227--236}, year={2016}, organization={ACM} }

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