LensKit for Python: Next-Generation Software for Recommender Systems Experiments

Author:

Ekstrand Michael D.1

Affiliation:

1. Boise State University, Boise, ID, USA

Funder

National Science Foundation

Publisher

ACM

Reference40 articles.

1. Mart'in Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. https://www.tensorflow.org/ Software available from tensorflow.org. Mart'in Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. https://www.tensorflow.org/ Software available from tensorflow.org.

2. Christian Ricardo Balseca Níñez and Daniel Andrés Fernández Peñafiel. 2019. Estudio del estado del arte de la ciencia de datos aplicada a la neuroeconomía. Master's thesis. Universidad Politécnica Salesiana. http://hdl.handle.net/123456789/17605 Christian Ricardo Balseca Níñez and Daniel Andrés Fernández Peñafiel. 2019. Estudio del estado del arte de la ciencia de datos aplicada a la neuroeconomía. Master's thesis. Universidad Politécnica Salesiana. http://hdl.handle.net/123456789/17605

3. Alejandro Bellogin. 2012. Performance Prediction and Evaluation in Recommender Systems: An Information Retrieval Perspective. Ph.D. Dissertation. Universidad Autónoma de Madrid Madrid Spain. http://ir.ii.uam.es/alejandro/thesis/ Alejandro Bellogin. 2012. Performance Prediction and Evaluation in Recommender Systems: An Information Retrieval Perspective. Ph.D. Dissertation. Universidad Autónoma de Madrid Madrid Spain. http://ir.ii.uam.es/alejandro/thesis/

4. Lars Buitinck Gilles Louppe Mathieu Blondel Fabian Pedregosa Andreas Mueller Olivier Grisel Vlad Niculae Peter Prettenhofer Alexandre Gramfort Jaques Grobler Robert Layton Jake VanderPlas Arnaud Joly Brian Holt and Gaë l Varoquaux. 2013. API design for machine learning software: experiences from the scikit-learn project. CoRR Vol. abs/1309.0238 (2013). http://arxiv.org/abs/1309.0238 Lars Buitinck Gilles Louppe Mathieu Blondel Fabian Pedregosa Andreas Mueller Olivier Grisel Vlad Niculae Peter Prettenhofer Alexandre Gramfort Jaques Grobler Robert Layton Jake VanderPlas Arnaud Joly Brian Holt and Gaë l Varoquaux. 2013. API design for machine learning software: experiences from the scikit-learn project. CoRR Vol. abs/1309.0238 (2013). http://arxiv.org/abs/1309.0238

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