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 0011. AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models. In Yuxiao Dong, Georgiana Ifrim, Dunja Mladenic, Craig Saunders, Sofie Van Hoecke, editors, Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part V. Volume 12461 of Lecture Notes in Computer Science, pages 541-545, Springer, 2020. [doi]

@inproceedings{CuiSQTLZJL020,
  title = {AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models},
  author = {Qing Cui and Qitao Shi and Hao Qian and Caizhi Tang and Xixi Li and Yiming Zhao and Tao Jiang and Longfei Li and Jun Zhou 0011},
  year = {2020},
  doi = {10.1007/978-3-030-67670-4_35},
  url = {https://doi.org/10.1007/978-3-030-67670-4_35},
  researchr = {https://researchr.org/publication/CuiSQTLZJL020},
  cites = {0},
  citedby = {0},
  pages = {541-545},
  booktitle = {Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part V},
  editor = {Yuxiao Dong and Georgiana Ifrim and Dunja Mladenic and Craig Saunders and Sofie Van Hoecke},
  volume = {12461},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-67670-4},
}