ML Anthology

AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models

Qing Cui, Qitao Shi, Hao Qian, Caizhi Tang, Xixi Li, Yiming Zhao, Tao Jiang, Longfei Li, Jun Zhou
ECML-PKDD 2020 pp. 541-545
doi:10.1007/978-3-030-67670-4_35 /ecmlpkdd/2020/cui2020ecmlpkdd-autorec/

Abstract

This paper presents a comprehensive platform named AutoRec, which can help developers build effective and explainable recommender models all in one platform. It implements several well-known and state-of-art deep learning models in item recommendation scenarios, a AutoML framework with a package of search algorithms for automatically tuning of hyperparameters, and several instance-level interpretation methods to enable the explainable recommendation. The main advantage of AutoRec is the integration of AutoML and explainable AI abilities into the deep learning based recommender algorithms platform.

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Cite

Text

Cui et al. "AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020. doi:10.1007/978-3-030-67670-4_35

Markdown

[Cui et al. "AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020.](https://mlanthology.org/ecmlpkdd/2020/cui2020ecmlpkdd-autorec/) doi:10.1007/978-3-030-67670-4_35

BibTeX

@inproceedings{cui2020ecmlpkdd-autorec,
  title     = {{AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models}},
  author    = {Cui, Qing and Shi, Qitao and Qian, Hao and Tang, Caizhi and Li, Xixi and Zhao, Yiming and Jiang, Tao and Li, Longfei and Zhou, Jun},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2020},
  pages     = {541-545},
  doi       = {10.1007/978-3-030-67670-4_35},
  url       = {https://mlanthology.org/ecmlpkdd/2020/cui2020ecmlpkdd-autorec/}
}