NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems

Santosh Kabbur, George Karypis. NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems. In Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu, editors, 2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014. pages 167-174, IEEE, 2014. [doi]

@inproceedings{KabburK14,
  title = {NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems},
  author = {Santosh Kabbur and George Karypis},
  year = {2014},
  doi = {10.1109/ICDMW.2014.108},
  url = {http://dx.doi.org/10.1109/ICDMW.2014.108},
  researchr = {https://researchr.org/publication/KabburK14},
  cites = {0},
  citedby = {0},
  pages = {167-174},
  booktitle = {2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014},
  editor = {Zhi-Hua Zhou and Wei Wang and Ravi Kumar and Hannu Toivonen and Jian Pei and Joshua Zhexue Huang and Xindong Wu},
  publisher = {IEEE},
  isbn = {978-1-4799-4274-9},
}