Efficient top-n recommendation for very large scale binary rated datasets

Fabio Aiolli. Efficient top-n recommendation for very large scale binary rated datasets. In Qiang Yang, Irwin King, Qing Li, Pearl Pu, George Karypis, editors, Seventh ACM Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013. pages 273-280, ACM, 2013. [doi]

@inproceedings{Aiolli13-0,
  title = {Efficient top-n recommendation for very large scale binary rated datasets},
  author = {Fabio Aiolli},
  year = {2013},
  doi = {10.1145/2507157.2507189},
  url = {http://doi.acm.org/10.1145/2507157.2507189},
  researchr = {https://researchr.org/publication/Aiolli13-0},
  cites = {0},
  citedby = {0},
  pages = {273-280},
  booktitle = {Seventh ACM Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013},
  editor = {Qiang Yang and Irwin King and Qing Li and Pearl Pu and George Karypis},
  publisher = {ACM},
  isbn = {978-1-4503-2409-0},
}